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Python	4	huggingface	diffusers	ipadapterfaceid	Run code quality checks	pr_quality.yml	.github/workflows/pr_quality.yml	fabiorigano	2c06ffa4c9d2c37846c60ad75899b4d72f214ff9	217d9d073981605acab5200fc841f20c798c1449	name: Run code quality checks on: pull_request: branches: - main push: branches: - main concurrency: group: ${{ github.workflow }}-${{ github.head_ref \|\| github.run_id }} cancel-in-progress: true jobs: check_code_quality: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - name: Set up Python uses: actions/setup-python@v4 with: python-version: "3.8" - name: Install dependencies run: \| python -m pip install --upgrade pip pip install .[quality] - name: Check quality run: \| ruff check examples tests src utils scripts ruff format examples tests src utils scripts --check check_repository_consistency: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - name: Set up Python uses: actions/setup-python@v4 with: python-version: "3.8" - name: Install dependencies run: \| python -m pip install --upgrade pip pip install .[quality] - name: Check quality run: \| python utils/check_copies.py python utils/check_dummies.py make deps_table_check_updated env: PIP_INDEX_URL: http://localhost:8629/2024-01-10 UV_INDEX_URL: http://localhost:8629/2024-01-10	[ { "step_name": "check_code_quality/5_Check quality.txt", "log": "##[group]Run ruff check examples tests src utils scripts\n\u001b[36;1mruff check examples tests src utils scripts\u001b[0m\n\u001b[36;1mruff format examples tests src utils scripts --check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/actions-runner/_work/_tool/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/actions-runner/_work/_tool/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/actions-runner/_work/_tool/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/actions-runner/_work/_tool/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/actions-runner/_work/_tool/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/actions-runner/_work/_tool/Python/3.8.18/x64/lib\n##[endgroup]\nexamples/community/ip_adapter_face_id.py:15:1: I001 [] Import block is un-sorted or un-formatted\nFound 1 error.\n[] 1 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/examples/community/README.md b/examples/community/README.md index f205f3b70..2fdbdb414 100755 --- a/examples/community/README.md +++ b/examples/community/README.md @@ -3307,7 +3307,7 @@ pipeline = DiffusionPipeline.from_pretrained( torch_dtype=torch.float16, scheduler=noise_scheduler, vae=vae, - custom_pipeline="./forked/diffusers/examples/community/ip_adapter_face_id.py" + custom_pipeline="ip_adapter_face_id" ) pipeline.load_ip_adapter_face_id("h94/IP-Adapter-FaceID", "ip-adapter-faceid_sd15.bin") pipeline.to("cuda") diff --git a/examples/community/ip_adapter_face_id.py b/examples/community/ip_adapter_face_id.py index e3c5a2c84..d9325742c 100644 --- a/examples/community/ip_adapter_face_id.py +++ b/examples/community/ip_adapter_face_id.py @@ -14,12 +14,12 @@ import inspect from typing import Any, Callable, Dict, List, Optional, Union -from safetensors import safe_open import torch import torch.nn as nn import torch.nn.functional as F from packaging import version +from safetensors import safe_open from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer, CLIPVisionModelWithProjection from diffusers.configuration_utils import FrozenDict @@ -27,20 +27,20 @@ from diffusers.image_processor import VaeImageProcessor from diffusers.loaders import FromSingleFileMixin, IPAdapterMixin, LoraLoaderMixin, TextualInversionLoaderMixin from diffusers.models import AutoencoderKL, UNet2DConditionModel from diffusers.models.attention_processor import FusedAttnProcessor2_0 -from diffusers.models.lora import adjust_lora_scale_text_encoder, LoRALinearLayer +from diffusers.models.lora import LoRALinearLayer, adjust_lora_scale_text_encoder +from diffusers.pipelines.pipeline_utils import DiffusionPipeline +from diffusers.pipelines.stable_diffusion.pipeline_output import StableDiffusionPipelineOutput +from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker from diffusers.schedulers import KarrasDiffusionSchedulers from diffusers.utils import ( - _get_model_file, USE_PEFT_BACKEND, + _get_model_file, deprecate, logging, scale_lora_layers, unscale_lora_layers, ) from diffusers.utils.torch_utils import randn_tensor -from diffusers.pipelines.pipeline_utils import DiffusionPipeline -from diffusers.pipelines.stable_diffusion.pipeline_output import StableDiffusionPipelineOutput -from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker logger = logging.get_logger(__name__) # pylint: disable=invalid-name @@ -555,7 +555,7 @@ class IPAdapterFaceIDStableDiffusionPipeline( revision=revision, subfolder=subfolder, user_agent=user_agent, - ) + ) if weight_name.endswith(".safetensors"): state_dict = {"image_proj": {}, "ip_adapter": {}} with safe_open(model_file, framework="pt", device="cpu") as f: @@ -1438,7 +1438,7 @@ class IPAdapterFaceIDStableDiffusionPipeline( extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta) # 6.1 Add image embeds for IP-Adapter - added_cond_kwargs ={"image_embeds": image_embeds} if image_embeds is not None else None + added_cond_kwargs = {"image_embeds": image_embeds} if image_embeds is not None else None # 6.2 Optionally get Guidance Scale Embedding timestep_cond = None	0	[ "examples/community/README.md", "examples/community/ip_adapter_face_id.py" ]	https://github.com/huggingface/diffusers/tree/2c06ffa4c9d2c37846c60ad75899b4d72f214ff9	2024-01-10T20:03:01Z
Python	5	huggingface	diffusers	ipadapterfaceid	Run code quality checks	pr_quality.yml	.github/workflows/pr_quality.yml	fabiorigano	db6550a228941b538f340fb5b65ed16c43a21b88	6c29e66eb023f2805e4a4fd697815e9a0d2c6468	name: Run code quality checks on: pull_request: branches: - main push: branches: - main concurrency: group: ${{ github.workflow }}-${{ github.head_ref \|\| github.run_id }} cancel-in-progress: true jobs: check_code_quality: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - name: Set up Python uses: actions/setup-python@v4 with: python-version: "3.8" - name: Install dependencies run: \| python -m pip install --upgrade pip pip install .[quality] - name: Check quality run: \| ruff check examples tests src utils scripts ruff format examples tests src utils scripts --check check_repository_consistency: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - name: Set up Python uses: actions/setup-python@v4 with: python-version: "3.8" - name: Install dependencies run: \| python -m pip install --upgrade pip pip install .[quality] - name: Check quality run: \| python utils/check_copies.py python utils/check_dummies.py make deps_table_check_updated env: PIP_INDEX_URL: http://localhost:8629/2023-12-26 UV_INDEX_URL: http://localhost:8629/2023-12-26	[ { "step_name": "check_code_quality/5_Check quality.txt", "log": "##[group]Run ruff check examples tests src utils scripts\n\u001b[36;1mruff check examples tests src utils scripts\u001b[0m\n\u001b[36;1mruff format examples tests src utils scripts --check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nsrc/diffusers/loaders/ip_adapter.py:15:26: F401 [] `typing.Optional` imported but unused\nFound 1 error.\n[] 1 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/src/diffusers/loaders/ip_adapter.py b/src/diffusers/loaders/ip_adapter.py index df9caa946..0c310019f 100644 --- a/src/diffusers/loaders/ip_adapter.py +++ b/src/diffusers/loaders/ip_adapter.py @@ -12,7 +12,7 @@ # See the License for the specific language governing permissions and # limitations under the License. import os -from typing import Dict, Optional, Union +from typing import Dict, Union import torch from huggingface_hub.utils import validate_hf_hub_args	0	[ "src/diffusers/loaders/ip_adapter.py" ]	https://github.com/huggingface/diffusers/tree/db6550a228941b538f340fb5b65ed16c43a21b88	2023-12-26T09:43:43Z
Python	21	mindsdb	mindsdb	staging	MindsDB Code Checks	code_checks.yml	.github/workflows/code_checks.yml	mindsdb	102f918deb2532bb7b825f00258f2c1414cf94da	1cf75d7a1071fba82d4190725e984e8d55db48fb	name: MindsDB Code Checks on: pull_request: branches: [stable, staging] jobs: check_requirements: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/[email protected] - name: Set up Python 3.8 uses: actions/[email protected] with: python-version: 3.9 - name: Check main requirements shell: bash run: \| pip install -r requirements/requirements-dev.txt python tests/scripts/check_requirements.py - name: Check requirements files are installable shell: bash run: \| pip install --dry-run --ignore-installed . # Install only the default handlers. We can expand this to all handlers later with: .[all_handlers_extras] env: PIP_INDEX_URL: http://localhost:8629/2023-12-29 UV_INDEX_URL: http://localhost:8629/2023-12-29	[ { "step_name": "check_requirements/4_Check main requirements.txt", "log": "##[group]Run pip install -r requirements/requirements-dev.txt\n\u001b[36;1mpip install -r requirements/requirements-dev.txt\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1mpython tests/scripts/check_requirements.py\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nCollecting black==23.3.0 (from -r requirements/requirements-dev.txt (line 1))\n 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kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 443.4/443.4 kB 72.9 MB/s eta 0:00:00\nInstalling collected packages: nh3, distlib, zipp, wheel, urllib3, typing-extensions, tomli, sniffio, rfc3986, pyyaml, Pygments, pyflakes, pycparser, pycodestyle, platformdirs, pkginfo, pathspec, packaging, nodeenv, mypy-extensions, more-itertools, mdurl, mccabe, jeepney, isort, idna, identify, filelock, exceptiongroup, docutils, click, charset-normalizer, chardet, cfgv, certifi, virtualenv, requests, readme-renderer, markdown-it-py, jaraco.classes, importlib-metadata, flake8, deptry, cffi, black, anyio, watchfiles, rich, requests-toolbelt, pre-commit, cryptography, SecretStorage, keyring, twine\nSuccessfully installed Pygments-2.17.2 SecretStorage-3.3.3 anyio-4.2.0 black-23.3.0 certifi-2023.11.17 cffi-1.16.0 cfgv-3.4.0 chardet-5.2.0 charset-normalizer-3.3.2 click-8.1.7 cryptography-41.0.7 deptry-0.12.0 distlib-0.3.8 docutils-0.20.1 exceptiongroup-1.2.0 filelock-3.13.1 flake8-5.0.4 identify-2.5.33 idna-3.6 importlib-metadata-7.0.1 isort-5.10.1 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.3.0 markdown-it-py-3.0.0 mccabe-0.7.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.15 nodeenv-1.8.0 packaging-23.2 pathspec-0.12.1 pkginfo-1.9.6 platformdirs-4.1.0 pre-commit-3.6.0 pycodestyle-2.9.1 pycparser-2.21 pyflakes-2.5.0 pyyaml-6.0.1 readme-renderer-42.0 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 sniffio-1.3.0 tomli-2.0.1 twine-4.0.2 typing-extensions-4.9.0 urllib3-2.1.0 virtualenv-20.25.0 watchfiles-0.19.0 wheel-0.42.0 zipp-3.17.0\n\n[notice] A new release of pip is available: 23.0.1 -> 23.3.2\n[notice] To update, run: pip install --upgrade pip\n--- Checking requirements files for duplicates ---\n\n--- Checking that requirements match imports ---\n- requirements/requirements.txt\n None:None: DEP002 'type_infer' defined as a dependency but not used in the codebase\n\n\n--- Checking handlers that require other handlers ---\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/mindsdb/__main__.py b/mindsdb/__main__.py index cac3482883..6cc92a7899 100644 --- a/mindsdb/__main__.py +++ b/mindsdb/__main__.py @@ -35,6 +35,7 @@ from mindsdb.utilities.fs import create_dirs_recursive, clean_process_marks, cle from mindsdb.utilities.telemetry import telemetry_file_exists, disable_telemetry from mindsdb.utilities.context import context as ctx from mindsdb.utilities.auth import register_oauth_client, get_aws_meta_data +import type_infer # noqa try: import torch.multiprocessing as mp	1	[ "mindsdb/__main__.py" ]	https://github.com/mindsdb/mindsdb/tree/102f918deb2532bb7b825f00258f2c1414cf94da	2023-12-29T13:03:05Z
Python	22	sanic-org	sanic	py312	Tests	tests.yml	.github/workflows/tests.yml	iAndriy	2e41e783672597e2e0c7b2842b5934d879374028	c3fa036f4b8a8b7bccc0c967fb94de809ef0e320	name: Tests on: push: branches: - main - current-release - "LTS" tags: - "!" pull_request: branches: - main - current-release - "*LTS" types: [opened, synchronize, reopened, ready_for_review] jobs: run_tests: name: "${{ matrix.config.platform == 'windows-latest' && 'Windows' \|\| 'Linux' }} / Python ${{ matrix.config.python-version }} / tox -e ${{ matrix.config.tox-env }}" if: github.event.pull_request.draft == false runs-on: ${{ matrix.config.platform \|\| 'ubuntu-latest' }} services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: fail-fast: true matrix: config: - { python-version: "3.8", tox-env: security } - { python-version: "3.9", tox-env: security } - { python-version: "3.10", tox-env: security } - { python-version: "3.11", tox-env: security } - { python-version: "3.10", tox-env: lint } # - { python-version: "3.10", tox-env: docs } - { python-version: "3.8", tox-env: type-checking } - { python-version: "3.9", tox-env: type-checking } - { python-version: "3.10", tox-env: type-checking } - { python-version: "3.11", tox-env: type-checking } - { python-version: "3.8", tox-env: py38, max-attempts: 3 } - { python-version: "3.8", tox-env: py38-no-ext, max-attempts: 3 } - { python-version: "3.9", tox-env: py39, max-attempts: 3 } - { python-version: "3.9", tox-env: py39-no-ext, max-attempts: 3 } - { python-version: "3.10", tox-env: py310, max-attempts: 3 } - { python-version: "3.10", tox-env: py310-no-ext, max-attempts: 3 } - { python-version: "3.11", tox-env: py311, max-attempts: 3 } - { python-version: "3.12", tox-env: py312, max-attempts: 3 } - { python-version: "3.11", tox-env: py311-no-ext, max-attempts: 3 } - { python-version: "3.8", tox-env: py38-no-ext, platform: windows-latest, ignore-errors: true } - { python-version: "3.9", tox-env: py39-no-ext, platform: windows-latest, ignore-errors: true } - { python-version: "3.10", tox-env: py310-no-ext, platform: windows-latest, ignore-errors: true } - { python-version: "3.11", tox-env: py310-no-ext, platform: windows-latest, ignore-errors: true } steps: - name: Run tests uses: sanic-org/simple-tox-action@v1 with: python-version: ${{ matrix.config.python-version }} tox-env: ${{ matrix.config.tox-env }} max-attempts: ${{ matrix.config.max-attempts \|\| 1 }} ignore-errors: ${{ matrix.config.ignore-errors \|\| false }} env: PIP_INDEX_URL: http://localhost:8629/2023-12-17 UV_INDEX_URL: http://localhost:8629/2023-12-17	[ { "step_name": "Linux Python 3.12 tox -e py312/2_Run tests.txt", "log": "##[group]Run sanic-org/simple-tox-action@v1\nwith:\n python-version: 3.12\n tox-env: py312\n max-attempts: 3\n ignore-errors: false\n timeout-minutes: 10\n warning-on-retry: false\n##[endgroup]\n##[group]Run actions/checkout@v3\nwith:\n repository: sanic-org/sanic\n token: *\n ssh-strict: true\n persist-credentials: true\n clean: true\n sparse-checkout-cone-mode: true\n fetch-depth: 1\n fetch-tags: false\n lfs: false\n submodules: false\n set-safe-directory: true\n##[endgroup]\nSyncing repository: sanic-org/sanic\n##[group]Getting Git version info\nWorking directory is '/home/runner/work/sanic/sanic'\n[command]/usr/bin/git version\ngit version 2.43.0\n##[endgroup]\nTemporarily overriding HOME='/home/runner/work/_temp/4ed65391-2ae4-459e-9e2a-279a317c6c7d' before making global git config changes\nAdding repository directory to the temporary git global config as a safe directory\n[command]/usr/bin/git config --global --add safe.directory /home/runner/work/sanic/sanic\nDeleting the contents of '/home/runner/work/sanic/sanic'\n##[group]Initializing the repository\n[command]/usr/bin/git init /home/runner/work/sanic/sanic\nhint: Using 'master' as the name for the initial branch. This default branch name\nhint: is subject to change. To configure the initial branch name to use in all\nhint: of your new repositories, which will suppress this warning, call:\nhint: \nhint: \tgit config --global init.defaultBranch <name>\nhint: \nhint: Names commonly chosen instead of 'master' are 'main', 'trunk' and\nhint: 'development'. The just-created branch can be renamed via this command:\nhint: \nhint: \tgit branch -m <name>\nInitialized empty Git repository in /home/runner/work/sanic/sanic/.git/\n[command]/usr/bin/git remote add origin https://github.com/sanic-org/sanic\n##[endgroup]\n##[group]Disabling automatic garbage collection\n[command]/usr/bin/git config --local gc.auto 0\n##[endgroup]\n##[group]Setting up auth\n[command]/usr/bin/git config --local --name-only --get-regexp core\\.sshCommand\n[command]/usr/bin/git submodule foreach --recursive sh -c \"git config --local --name-only --get-regexp 'core\\.sshCommand' && git config --local --unset-all 'core.sshCommand' \|\| :\"\n[command]/usr/bin/git config --local --name-only --get-regexp http\\.https\\:\\/\\/github\\.com\\/\\.extraheader\n[command]/usr/bin/git submodule foreach --recursive sh -c \"git config --local --name-only --get-regexp 'http\\.https\\:\\/\\/github\\.com\\/\\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' \|\| :\"\n[command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic \n##[endgroup]\n##[group]Fetching the repository\n[command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --progress --no-recurse-submodules --depth=1 origin +c70813b35243c936909c498015f2d60e376efb7f:refs/remotes/pull/2870/merge\nremote: Enumerating objects: 713, done. \nremote: Counting objects: 0% (1/713) \nremote: Counting objects: 1% (8/713) \nremote: Counting objects: 2% (15/713) \nremote: Counting objects: 3% (22/713) \nremote: Counting objects: 4% (29/713) \nremote: Counting objects: 5% (36/713) \nremote: Counting objects: 6% (43/713) \nremote: Counting objects: 7% (50/713) \nremote: Counting objects: 8% (58/713) \nremote: Counting objects: 9% (65/713) \nremote: Counting objects: 10% (72/713) \nremote: Counting objects: 11% (79/713) \nremote: Counting objects: 12% (86/713) \nremote: Counting objects: 13% (93/713) \nremote: 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objects: 85% (607/713) \nremote: Counting objects: 86% (614/713) \nremote: Counting objects: 87% (621/713) \nremote: Counting objects: 88% (628/713) \nremote: Counting objects: 89% (635/713) \nremote: Counting objects: 90% (642/713) \nremote: Counting objects: 91% (649/713) \nremote: Counting objects: 92% (656/713) \nremote: Counting objects: 93% (664/713) \nremote: Counting objects: 94% (671/713) \nremote: Counting objects: 95% (678/713) \nremote: Counting objects: 96% (685/713) \nremote: Counting objects: 97% (692/713) \nremote: Counting objects: 98% (699/713) \nremote: Counting objects: 99% (706/713) \nremote: Counting objects: 100% (713/713) \nremote: Counting objects: 100% (713/713), done. \nremote: Compressing objects: 0% (1/658) \nremote: Compressing objects: 1% (7/658) \nremote: Compressing objects: 2% (14/658) \nremote: Compressing objects: 3% (20/658) \nremote: Compressing objects: 4% (27/658) \nremote: Compressing objects: 5% (33/658) \nremote: Compressing objects: 6% 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(350/713)\nReceiving objects: 50% (357/713)\nReceiving objects: 51% (364/713)\nReceiving objects: 52% (371/713)\nReceiving objects: 53% (378/713)\nReceiving objects: 54% (386/713)\nReceiving objects: 55% (393/713)\nReceiving objects: 56% (400/713)\nReceiving objects: 57% (407/713)\nReceiving objects: 58% (414/713)\nReceiving objects: 59% (421/713)\nReceiving objects: 60% (428/713)\nReceiving objects: 61% (435/713)\nReceiving objects: 62% (443/713)\nReceiving objects: 63% (450/713)\nReceiving objects: 64% (457/713)\nReceiving objects: 65% (464/713)\nReceiving objects: 66% (471/713)\nReceiving objects: 67% (478/713)\nReceiving objects: 68% (485/713)\nReceiving objects: 69% (492/713)\nReceiving objects: 70% (500/713)\nReceiving objects: 71% (507/713)\nReceiving objects: 72% (514/713)\nReceiving objects: 73% (521/713)\nReceiving objects: 74% (528/713)\nReceiving objects: 75% (535/713)\nReceiving objects: 76% (542/713)\nReceiving objects: 77% (550/713)\nReceiving objects: 78% (557/713)\nReceiving objects: 79% (564/713)\nReceiving objects: 80% (571/713)\nReceiving objects: 81% (578/713)\nReceiving objects: 82% (585/713)\nReceiving objects: 83% (592/713)\nReceiving objects: 84% (599/713)\nReceiving objects: 85% (607/713)\nReceiving objects: 86% (614/713)\nReceiving objects: 87% (621/713)\nReceiving objects: 88% (628/713)\nReceiving objects: 89% (635/713)\nReceiving objects: 90% (642/713)\nReceiving objects: 91% (649/713)\nremote: Total 713 (delta 28), reused 441 (delta 23), pack-reused 0 \nReceiving objects: 92% (656/713)\nReceiving objects: 93% (664/713)\nReceiving objects: 94% (671/713)\nReceiving objects: 95% (678/713)\nReceiving objects: 96% (685/713)\nReceiving objects: 97% (692/713)\nReceiving objects: 98% (699/713)\nReceiving objects: 99% (706/713)\nReceiving objects: 100% (713/713)\nReceiving objects: 100% (713/713), 3.74 MiB \| 40.79 MiB/s, done.\nResolving deltas: 0% (0/28)\nResolving deltas: 3% (1/28)\nResolving deltas: 7% (2/28)\nResolving deltas: 10% (3/28)\nResolving deltas: 14% (4/28)\nResolving deltas: 17% (5/28)\nResolving deltas: 21% (6/28)\nResolving deltas: 25% (7/28)\nResolving deltas: 28% (8/28)\nResolving deltas: 32% (9/28)\nResolving deltas: 35% (10/28)\nResolving deltas: 39% (11/28)\nResolving deltas: 42% (12/28)\nResolving deltas: 46% (13/28)\nResolving deltas: 50% (14/28)\nResolving deltas: 53% (15/28)\nResolving deltas: 57% (16/28)\nResolving deltas: 60% (17/28)\nResolving deltas: 64% (18/28)\nResolving deltas: 67% (19/28)\nResolving deltas: 71% (20/28)\nResolving deltas: 75% (21/28)\nResolving deltas: 78% (22/28)\nResolving deltas: 82% (23/28)\nResolving deltas: 85% (24/28)\nResolving deltas: 89% (25/28)\nResolving deltas: 92% (26/28)\nResolving deltas: 96% (27/28)\nResolving deltas: 100% (28/28)\nResolving deltas: 100% (28/28), done.\nFrom https://github.com/sanic-org/sanic\n [new ref] c70813b35243c936909c498015f2d60e376efb7f -> pull/2870/merge\n##[endgroup]\n##[group]Determining the checkout info\n##[endgroup]\n##[group]Checking out the ref\n[command]/usr/bin/git checkout --progress --force refs/remotes/pull/2870/merge\nNote: switching to 'refs/remotes/pull/2870/merge'.\n\nYou are in 'detached HEAD' state. You can look around, make experimental\nchanges and commit them, and you can discard any commits you make in this\nstate without impacting any branches by switching back to a branch.\n\nIf you want to create a new branch to retain commits you create, you may\ndo so (now or later) by using -c with the switch command. Example:\n\n git switch -c <new-branch-name>\n\nOr undo this operation with:\n\n git switch -\n\nTurn off this advice by setting config variable advice.detachedHead to false\n\nHEAD is now at c70813b Merge 2e41e783672597e2e0c7b2842b5934d879374028 into d0bbcf55d540e8d4c9d8bb1108384d8545355fcb\n##[endgroup]\n[command]/usr/bin/git log -1 --format='%H'\n'c70813b35243c936909c498015f2d60e376efb7f'\n##[group]Run actions/setup-python@v4\nwith:\n python-version: 3.12\n check-latest: false\n token: **\n update-environment: true\n allow-prereleases: false\n##[endgroup]\n##[group]Installed versions\nSuccessfully set up CPython (3.12.1)\n##[endgroup]\n##[group]Run python -m pip install --upgrade pip\n\u001b[36;1mpython -m pip install --upgrade pip\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nRequirement already satisfied: pip in /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages (23.3.1)\nCollecting pip\n Downloading pip-23.3.2-py3-none-any.whl.metadata (3.5 kB)\nDownloading pip-23.3.2-py3-none-any.whl (2.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.1/2.1 MB 47.5 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.3.1\n Uninstalling pip-23.3.1:\n Successfully uninstalled pip-23.3.1\nSuccessfully installed pip-23.3.2\n##[group]Run pip install tox\n\u001b[36;1mpip install tox\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nCollecting tox\n Downloading tox-4.11.4-py3-none-any.whl.metadata (5.0 kB)\nCollecting cachetools>=5.3.1 (from tox)\n Downloading cachetools-5.3.2-py3-none-any.whl.metadata (5.2 kB)\nCollecting chardet>=5.2 (from tox)\n Downloading chardet-5.2.0-py3-none-any.whl.metadata (3.4 kB)\nCollecting colorama>=0.4.6 (from tox)\n Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\nCollecting filelock>=3.12.3 (from tox)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting packaging>=23.1 (from tox)\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting platformdirs>=3.10 (from tox)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy>=1.3 (from tox)\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pyproject-api>=1.6.1 (from tox)\n Downloading pyproject_api-1.6.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting virtualenv>=20.24.3 (from tox)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.24.3->tox)\n Downloading distlib-0.3.8-py2.py3-none-any.whl.metadata (5.1 kB)\nDownloading tox-4.11.4-py3-none-any.whl (153 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 154.0/154.0 kB 20.8 MB/s eta 0:00:00\nDownloading cachetools-5.3.2-py3-none-any.whl (9.3 kB)\nDownloading chardet-5.2.0-py3-none-any.whl (199 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.4/199.4 kB 55.5 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 53.0/53.0 kB 18.1 MB/s eta 0:00:00\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyproject_api-1.6.1-py3-none-any.whl (12 kB)\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.8/3.8 MB 54.9 MB/s eta 0:00:00\nDownloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 468.9/468.9 kB 67.5 MB/s eta 0:00:00\nInstalling collected packages: distlib, pluggy, platformdirs, packaging, filelock, colorama, chardet, cachetools, virtualenv, pyproject-api, tox\nSuccessfully installed cachetools-5.3.2 chardet-5.2.0 colorama-0.4.6 distlib-0.3.8 filelock-3.13.1 packaging-23.2 platformdirs-4.1.0 pluggy-1.3.0 pyproject-api-1.6.1 tox-4.11.4 virtualenv-20.25.0\n##[group]Run env=\"\"\n\u001b[36;1menv=\"\"\u001b[0m\n\u001b[36;1mif [[ ! -z \"py312\" ]]; then\u001b[0m\n\u001b[36;1m env+=\"-e py312\"\u001b[0m\n\u001b[36;1mfi\u001b[0m\n\u001b[36;1mecho \"args=$env\" >> $GITHUB_OUTPUT\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\n##[group]Run nick-fields/retry@v2\nwith:\n timeout_minutes: 10\n max_attempts: 3\n continue_on_error: false\n warning_on_retry: false\n command: tox -e py312\n retry_wait_seconds: 10\n polling_interval_seconds: 1\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\npy312: install_deps> python -I -m pip install 'httpx>=0.23' setuptools\n.pkg: install_requires> python -I -m pip install setuptools wheel\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: get_requires_for_build_editable> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: install_requires_for_build_editable> python -I -m pip install wheel\n.pkg: freeze> python -m pip freeze --all\n.pkg: pip==23.3.1,setuptools==69.0.2,wheel==0.42.0\n.pkg: build_editable> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\npy312: install_package_deps> python -I -m pip install 'aiofiles>=0.6.0' aioquic bandit beautifulsoup4 'chardet==3.' coverage docutils 'html5tagger>=1.2.1' 'httptools>=0.0.10' 'multidict<7.0,>=5.0' mypy pygments pytest-benchmark pytest-sanic 'pytest==7.1.' ruff 'sanic-routing@ git+https://github.com/sanic-org/sanic-routing.git' 'sanic-testing>=23.6.0' 'slotscheck<1,>=0.8.0' 'tracerite>=1.0.0' 'types-ujson; sys_platform != \"win32\" and implementation_name == \"cpython\"' 'typing-extensions>=4.4.0' 'ujson>=1.35; sys_platform != \"win32\" and implementation_name == \"cpython\"' 'uvicorn<0.15.0' 'uvloop>=0.15.0; sys_platform != \"win32\" and implementation_name == \"cpython\"' 'websockets>=10.0'\npy312: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/sanic/sanic/.tox/.tmp/package/1/sanic-23.12.0-0.editable-py3-none-any.whl\npy312: freeze> python -m pip freeze --all\npy312: aiofiles==23.2.1,aioquic==0.9.24,anyio==4.2.0,asgiref==3.7.2,async-generator==1.10,attrs==23.1.0,bandit==1.7.6,beautifulsoup4==4.12.2,certifi==2023.11.17,cffi==1.16.0,chardet==3.0.4,click==8.1.7,coverage==7.3.3,cryptography==41.0.7,docutils==0.20.1,gitdb==4.0.11,GitPython==3.1.40,h11==0.14.0,html5tagger==1.3.0,httpcore==1.0.2,httptools==0.6.1,httpx==0.25.2,idna==3.6,iniconfig==2.0.0,markdown-it-py==3.0.0,mdurl==0.1.2,multidict==6.0.4,mypy==1.7.1,mypy-extensions==1.0.0,packaging==23.2,pbr==6.0.0,pip==23.3.1,pluggy==1.3.0,py==1.11.0,py-cpuinfo==9.0.0,pyasn1==0.5.1,pyasn1-modules==0.3.0,pycparser==2.21,Pygments==2.17.2,pylsqpack==0.3.18,pyOpenSSL==23.3.0,pytest==7.1.3,pytest-benchmark==4.0.0,pytest-sanic==1.9.1,PyYAML==6.0.1,rich==13.7.0,ruff==0.1.8,sanic @ file:///home/runner/work/sanic/sanic/.tox/.tmp/package/1/sanic-23.12.0-0.editable-py3-none-any.whl#sha256=56e6d7f737084de3b363bf69d559509f355c597274a992497dac135b20931485,sanic-routing @ git+https://github.com/sanic-org/sanic-routing.git@0f9405d6a7381ec11b30dafb2577e4b2d2318e45,sanic-testing==23.6.0,service-identity==23.1.0,setuptools==69.0.2,slotscheck==0.17.1,smmap==5.0.1,sniffio==1.3.0,soupsieve==2.5,stevedore==5.1.0,tomli==2.0.1,tracerite==1.1.1,types-ujson==5.9.0.0,typing_extensions==4.9.0,ujson==5.9.0,uvicorn==0.14.0,uvloop==0.19.0,websockets==10.4\npy312: commands[0]> coverage run --source ./sanic -m pytest tests\n/home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:940: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n inlocs = ast.Compare(ast.Str(name.id), [ast.In()], [locs])\n/home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:943: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n expr = ast.IfExp(test, self.display(name), ast.Str(name.id))\n/home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:914: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n assertmsg = ast.Str(\"\")\n/home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:916: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n template = ast.BinOp(assertmsg, ast.Add(), ast.Str(explanation))\n/home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:804: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n keys = [ast.Str(key) for key in current.keys()]\n/home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:928: DeprecationWarning: ast.NameConstant is deprecated and will be removed in Python 3.14; use ast.Constant instead\n clear = ast.Assign(variables, ast.NameConstant(None))\ncollected 1661 items\n\ntests/test_app.py ...................................................... [ 3%]\n. [ 3%]\ntests/test_asgi.py ........................ [ 4%]\ntests/test_bad_request.py . [ 4%]\ntests/test_base.py ..................... [ 6%]\ntests/test_blueprint_copy.py ... [ 6%]\ntests/test_blueprint_group.py .......... [ 6%]\ntests/test_blueprints.py ............................................ [ 9%]\ntests/test_cancellederror.py . [ 9%]\ntests/test_cli.py ...................................................... [ 12%]\n [ 12%]\ntests/test_coffee.py .... [ 13%]\ntests/test_config.py ......................................... [ 15%]\ntests/test_constants.py ...... [ 15%]\ntests/test_cookies.py ................................... [ 18%]\ntests/test_create_task.py ..... [ 18%]\ntests/test_custom_request.py . [ 18%]\ntests/test_deprecation.py .... [ 18%]\ntests/test_dynamic_routes.py .... [ 18%]\ntests/test_errorpages.py ............................................... [ 21%]\n....... [ 22%]\ntests/test_exceptions.py ..................... [ 23%]\ntests/test_exceptions_handler.py ............. [ 24%]\ntests/test_ext_integration.py ....... [ 24%]\ntests/test_graceful_shutdown.py x. [ 24%]\ntests/test_handler.py . [ 24%]\ntests/test_handler_annotations.py .... [ 24%]\ntests/test_headers.py .................................................. [ 27%]\n...................... [ 29%]\ntests/test_helpers.py ....... [ 29%]\ntests/test_http.py ... [ 29%]\ntests/test_http_alt_svc.py . [ 29%]\ntests/test_init.py ............. [ 30%]\ntests/test_json_decoding.py ... [ 30%]\ntests/test_json_encoding.py ...s [ 31%]\ntests/test_keep_alive_timeout.py .... [ 31%]\ntests/test_late_adds.py ... [ 31%]\ntests/test_logging.py ................... [ 32%]\ntests/test_logo.py ..... [ 33%]\ntests/test_middleware.py ............... [ 33%]\ntests/test_middleware_priority.py ...................................... [ 36%]\n.............. [ 37%]\ntests/test_motd.py ..... [ 37%]\ntests/test_multiprocessing.py ......... [ 37%]\ntests/test_named_routes.py .......................... [ 39%]\ntests/test_payload_too_large.py ... [ 39%]\ntests/test_pipelining.py .... [ 39%]\ntests/test_prepare.py ..... [ 40%]\ntests/test_redirect.py ......... [ 40%]\ntests/test_reloader.py xxxxxx. [ 41%]\ntests/test_request.py .......................................... [ 43%]\ntests/test_request_cancel.py .. [ 43%]\ntests/test_request_data.py .. [ 43%]\ntests/test_request_stream.py ......... [ 44%]\ntests/test_requests.py ................................................. [ 47%]\n........................................................................ [ 51%]\n........... [ 52%]\ntests/test_response.py ................................................. [ 55%]\n.......... [ 55%]\ntests/test_response_file.py ...... [ 56%]\ntests/test_response_json.py ................ [ 57%]\ntests/test_response_timeout.py .... [ 57%]\ntests/test_routes.py ................................................... [ 60%]\n........................................................................ [ 64%]\n...................................... [ 67%]\ntests/test_server_events.py .................... [ 68%]\ntests/test_server_loop.py ss.. [ 68%]\ntests/test_signal_handlers.py ...... [ 69%]\ntests/test_signals.py ................................................. [ 72%]\ntests/test_static.py ..........sssss.................................... [ 75%]\n.......................................s [ 77%]\ntests/test_static_directory.py ....... [ 77%]\ntests/test_tasks.py ...... [ 78%]\ntests/test_test_client_port.py .. [ 78%]\ntests/test_timeout_logic.py ..... [ 78%]\ntests/test_tls.py ........xxx................................... [ 81%]\ntests/test_touchup.py ......... [ 81%]\ntests/test_unix_socket.py x........ [ 82%]\ntests/test_url_building.py ........................... [ 84%]\ntests/test_url_for.py ......... [ 84%]\ntests/test_url_for_static.py ..................... [ 85%]\ntests/test_utf8.py ... [ 86%]\ntests/test_utils.py ...... [ 86%]\ntests/test_versioning.py .............. [ 87%]\ntests/test_vhosts.py ... [ 87%]\ntests/test_views.py ................... [ 88%]\ntests/test_websockets.py ......................FFF...... [ 90%]\ntests/test_ws_handlers.py ........ [ 91%]\ntests/benchmark/test_route_resolution_benchmark.py .. [ 91%]\ntests/http3/test_http_receiver.py ............ [ 91%]\ntests/http3/test_server.py .... [ 92%]\ntests/http3/test_session_ticket_store.py . [ 92%]\ntests/typing/test_typing.py ....... [ 92%]\ntests/worker/test_inspector.py ......... [ 93%]\ntests/worker/test_loader.py ............ [ 93%]\ntests/worker/test_manager.py ................ [ 94%]\ntests/worker/test_multiplexer.py ................. [ 95%]\ntests/worker/test_reloader.py .......... [ 96%]\ntests/worker/test_runner.py .... [ 96%]\ntests/worker/test_shared_ctx.py ............... [ 97%]\ntests/worker/test_socket.py .. [ 97%]\ntests/worker/test_startup.py ......... [ 98%]\ntests/worker/test_state.py .................... [ 99%]\ntests/worker/test_worker_serve.py ......... [100%]\n\n=================================== FAILURES ===================================\n___________________ test_ws_frame_put_message_into_queue[0] ____________________\n\nopcode = <Opcode.CONT: 0>\n\n @pytest.mark.asyncio\n @pytest.mark.parametrize(\"opcode\", DATA_OPCODES)\n async def test_ws_frame_put_message_into_queue(opcode):\n assembler = WebsocketFrameAssembler(Mock())\n assembler.chunks_queue = AsyncMock(spec=Queue)\n assembler.message_fetched = AsyncMock()\n assembler.message_fetched.is_set = Mock(return_value=False)\n \n await assembler.put(Frame(opcode, b\"foo\"))\n \n> assembler.chunks_queue.put.has_calls(\n call(b\"foo\"),\n call(None),\n )\n\n/home/runner/work/sanic/sanic/tests/test_websockets.py:220: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <AsyncMock name='mock.put' id='139970753877808'>, name = 'has_calls'\n\n def __getattr__(self, name):\n if name in {'_mock_methods', '_mock_unsafe'}:\n raise AttributeError(name)\n elif self._mock_methods is not None:\n if name not in self._mock_methods or name in _all_magics:\n raise AttributeError(\"Mock object has no attribute %r\" % name)\n elif _is_magic(name):\n raise AttributeError(name)\n if not self._mock_unsafe and (not self._mock_methods or name not in self._mock_methods):\n if name.startswith(('assert', 'assret', 'asert', 'aseert', 'assrt')) or name in _ATTRIB_DENY_LIST:\n> raise AttributeError(\n f\"{name!r} is not a valid assertion. Use a spec \"\n f\"for the mock if {name!r} is meant to be an attribute.\")\nE AttributeError: 'has_calls' is not a valid assertion. Use a spec for the mock if 'has_calls' is meant to be an attribute.\n\n/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:663: AttributeError\n___________________ test_ws_frame_put_message_into_queue[1] ____________________\n\nopcode = <Opcode.TEXT: 1>\n\n @pytest.mark.asyncio\n @pytest.mark.parametrize(\"opcode\", DATA_OPCODES)\n async def test_ws_frame_put_message_into_queue(opcode):\n assembler = WebsocketFrameAssembler(Mock())\n assembler.chunks_queue = AsyncMock(spec=Queue)\n assembler.message_fetched = AsyncMock()\n assembler.message_fetched.is_set = Mock(return_value=False)\n \n await assembler.put(Frame(opcode, b\"foo\"))\n \n> assembler.chunks_queue.put.has_calls(\n call(b\"foo\"),\n call(None),\n )\n\n/home/runner/work/sanic/sanic/tests/test_websockets.py:220: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <AsyncMock name='mock.put' id='139970753843408'>, name = 'has_calls'\n\n def __getattr__(self, name):\n if name in {'_mock_methods', '_mock_unsafe'}:\n raise AttributeError(name)\n elif self._mock_methods is not None:\n if name not in self._mock_methods or name in _all_magics:\n raise AttributeError(\"Mock object has no attribute %r\" % name)\n elif _is_magic(name):\n raise AttributeError(name)\n if not self._mock_unsafe and (not self._mock_methods or name not in self._mock_methods):\n if name.startswith(('assert', 'assret', 'asert', 'aseert', 'assrt')) or name in _ATTRIB_DENY_LIST:\n> raise AttributeError(\n f\"{name!r} is not a valid assertion. Use a spec \"\n f\"for the mock if {name!r} is meant to be an attribute.\")\nE AttributeError: 'has_calls' is not a valid assertion. Use a spec for the mock if 'has_calls' is meant to be an attribute.\n\n/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:663: AttributeError\n___________________ test_ws_frame_put_message_into_queue[2] ____________________\n\nopcode = <Opcode.BINARY: 2>\n\n @pytest.mark.asyncio\n @pytest.mark.parametrize(\"opcode\", DATA_OPCODES)\n async def test_ws_frame_put_message_into_queue(opcode):\n assembler = WebsocketFrameAssembler(Mock())\n assembler.chunks_queue = AsyncMock(spec=Queue)\n assembler.message_fetched = AsyncMock()\n assembler.message_fetched.is_set = Mock(return_value=False)\n \n await assembler.put(Frame(opcode, b\"foo\"))\n \n> assembler.chunks_queue.put.has_calls(\n call(b\"foo\"),\n call(None),\n )\n\n/home/runner/work/sanic/sanic/tests/test_websockets.py:220: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <AsyncMock name='mock.put' id='139970753532016'>, name = 'has_calls'\n\n def __getattr__(self, name):\n if name in {'_mock_methods', '_mock_unsafe'}:\n raise AttributeError(name)\n elif self._mock_methods is not None:\n if name not in self._mock_methods or name in _all_magics:\n raise AttributeError(\"Mock object has no attribute %r\" % name)\n elif _is_magic(name):\n raise AttributeError(name)\n if not self._mock_unsafe and (not self._mock_methods or name not in self._mock_methods):\n if name.startswith(('assert', 'assret', 'asert', 'aseert', 'assrt')) or name in _ATTRIB_DENY_LIST:\n> raise AttributeError(\n f\"{name!r} is not a valid assertion. Use a spec \"\n f\"for the mock if {name!r} is meant to be an attribute.\")\nE AttributeError: 'has_calls' is not a valid assertion. Use a spec for the mock if 'has_calls' is meant to be an attribute.\n\n/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:663: AttributeError\n=============================== warnings summary ===============================\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:940: 3106 warnings\ntests/test_app.py: 4 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:940: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n inlocs = ast.Compare(ast.Str(name.id), [ast.In()], [locs])\n\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:943: 3106 warnings\ntests/test_app.py: 4 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:943: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n expr = ast.IfExp(test, self.display(name), ast.Str(name.id))\n\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:1053: 2250 warnings\ntests/test_app.py: 3 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:1053: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n syms.append(ast.Str(sym))\n\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:1055: 2250 warnings\ntests/test_app.py: 3 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:1055: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n expls.append(ast.Str(expl))\n\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:804: 10789 warnings\ntests/test_app.py: 13 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:804: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n keys = [ast.Str(key) for key in current.keys()]\n\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:914: 2440 warnings\ntests/test_app.py: 3 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:914: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n assertmsg = ast.Str(\"\")\n\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:916: 2444 warnings\ntests/test_app.py: 3 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:916: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n template = ast.BinOp(assertmsg, ast.Add(), ast.Str(explanation))\n\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:928: 2428 warnings\ntests/test_app.py: 3 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:928: DeprecationWarning: ast.NameConstant is deprecated and will be removed in Python 3.14; use ast.Constant instead\n clear = ast.Assign(variables, ast.NameConstant(None))\n\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:965: 22 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:965: DeprecationWarning: ast.Str is deprecated and will be removed in Python 3.14; use ast.Constant instead\n expl_format = self.pop_format_context(ast.Str(expl))\n\n.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:977: 11 warnings\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/_pytest/assertion/rewrite.py:977: DeprecationWarning: ast.Num is deprecated and will be removed in Python 3.14; use ast.Constant instead\n expl_template = self.helper(\"_format_boolop\", expl_list, ast.Num(is_or))\n\ntests/test_app.py: 9 warnings\ntests/test_asgi.py: 14 warnings\ntests/test_bad_request.py: 1 warning\ntests/test_blueprint_copy.py: 2 warnings\ntests/test_blueprint_group.py: 3 warnings\ntests/test_blueprints.py: 39 warnings\ntests/test_cancellederror.py: 1 warning\ntests/test_cli.py: 22 warnings\ntests/test_coffee.py: 1 warning\ntests/test_config.py: 2 warnings\ntests/test_constants.py: 1 warning\ntests/test_cookies.py: 19 warnings\ntests/test_create_task.py: 4 warnings\ntests/test_custom_request.py: 1 warning\ntests/test_dynamic_routes.py: 3 warnings\ntests/test_errorpages.py: 18 warnings\ntests/test_exceptions.py: 341 warnings\ntests/test_exceptions_handler.py: 9 warnings\ntests/test_ext_integration.py: 4 warnings\ntests/test_graceful_shutdown.py: 2 warnings\ntests/test_handler.py: 1 warning\ntests/test_handler_annotations.py: 4 warnings\ntests/test_headers.py: 3 warnings\ntests/test_http.py: 3 warnings\ntests/test_http_alt_svc.py: 1 warning\ntests/test_json_decoding.py: 1 warning\ntests/test_keep_alive_timeout.py: 84 warnings\ntests/test_logging.py: 14 warnings\ntests/test_middleware.py: 15 warnings\ntests/test_middleware_priority.py: 46 warnings\ntests/test_multiprocessing.py: 6 warnings\ntests/test_named_routes.py: 1 warning\ntests/test_payload_too_large.py: 3 warnings\ntests/test_pipelining.py: 4 warnings\ntests/test_redirect.py: 9 warnings\ntests/test_request.py: 13 warnings\ntests/test_request_cancel.py: 2 warnings\ntests/test_request_data.py: 2 warnings\ntests/test_request_stream.py: 9 warnings\ntests/test_requests.py: 128 warnings\ntests/test_response.py: 58 warnings\ntests/test_response_json.py: 16 warnings\ntests/test_response_timeout.py: 4 warnings\ntests/test_routes.py: 69 warnings\ntests/test_server_events.py: 15 warnings\ntests/test_signal_handlers.py: 3 warnings\ntests/test_signals.py: 5 warnings\ntests/test_static.py: 79 warnings\ntests/test_static_directory.py: 6 warnings\ntests/test_tasks.py: 1 warning\ntests/test_test_client_port.py: 2 warnings\ntests/test_tls.py: 13 warnings\ntests/test_touchup.py: 6 warnings\ntests/test_unix_socket.py: 4 warnings\ntests/test_url_building.py: 11 warnings\ntests/test_url_for.py: 3 warnings\ntests/test_url_for_static.py: 21 warnings\ntests/test_utf8.py: 3 warnings\ntests/test_versioning.py: 14 warnings\ntests/test_vhosts.py: 3 warnings\ntests/test_views.py: 19 warnings\ntests/test_ws_handlers.py: 8 warnings\ntests/http3/test_server.py: 3 warnings\ntests/worker/test_inspector.py: 6 warnings\ntests/worker/test_multiplexer.py: 1 warning\n /home/runner/work/sanic/sanic/sanic/touchup/schemes/ode.py:70: DeprecationWarning: Attribute s is deprecated and will be removed in Python 3.14; use value instead\n if hasattr(event, \"s\"):\n\ntests/test_asgi.py: 1 warning\ntests/test_cookies.py: 18 warnings\ntests/test_response.py: 1 warning\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION] Setting cookie values using the dict pattern has been deprecated. You should instead use the cookies.add_cookie method. To learn more, please see: https://sanic.dev/en/guide/release-notes/v23.3.html#response-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_asgi.py: 1 warning\ntests/test_cookies.py: 19 warnings\ntests/test_response.py: 1 warning\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION] Accessing cookies from the CookieJar by dict key is deprecated. You should instead use the cookies.get_cookie method. To learn more, please see: https://sanic.dev/en/guide/release-notes/v23.3.html#response-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_asgi.py::test_cookie_customization\ntests/test_cookies.py::test_false_cookies_encoded[False-False]\ntests/test_cookies.py::test_false_cookies_encoded[True-True]\ntests/test_cookies.py::test_false_cookies[False-False]\ntests/test_cookies.py::test_false_cookies[True-True]\ntests/test_cookies.py::test_cookie_options\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.httponly=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cli.py: 2 warnings\ntests/test_tls.py: 9 warnings\n /home/runner/work/sanic/sanic/sanic/http/tls/context.py:191: DeprecationWarning: ssl.SSLContext() without protocol argument is deprecated.\n return super().__new__(cls)\n\ntests/test_cli.py: 2 warnings\ntests/test_tls.py: 9 warnings\n /home/runner/work/sanic/sanic/sanic/http/tls/context.py:191: DeprecationWarning: ssl.PROTOCOL_TLS is deprecated\n return super().__new__(cls)\n\ntests/test_cli.py: 21 warnings\ntests/test_exceptions.py: 336 warnings\ntests/test_keep_alive_timeout.py: 84 warnings\n /home/runner/work/sanic/sanic/sanic/touchup/schemes/ode.py:71: DeprecationWarning: Attribute s is deprecated and will be removed in Python 3.14; use value instead\n event_name = getattr(event, \"value\", event.s)\n\ntests/test_cookies.py::test_cookies\ntests/test_cookies.py::test_cookies_asgi\ntests/test_cookies.py::test_http2_cookies\ntests/test_requests.py::test_request_cookies\ntests/test_requests.py::test_request_cookies_asgi\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'test', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['test'] to request.cookies.get('test'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py: 12 warnings\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Direct encoding of a Cookie object has been deprecated and will be removed in v24.3.\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_options\ntests/test_cookies.py::test_cookie_expires[expires0]\ntests/test_cookies.py::test_cookie_expires_illegal_instance_type[Fri, 21-Dec-2018 15:30:00 GMT]\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.expires=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_deletion\ntests/test_cookies.py::test_cookie_jar_old_school_delete_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION] Deleting cookie values using the dict pattern has been deprecated. You should instead use the cookies.delete_cookie method. To learn more, please see: https://sanic.dev/en/guide/release-notes/v23.3.html#response-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_set_unknown_property\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.invalid=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_max_age[0]\ntests/test_cookies.py::test_cookie_max_age[300]\ntests/test_cookies.py::test_cookie_max_age[301]\ntests/test_cookies.py::test_cookie_bad_max_age[30.0]\ntests/test_cookies.py::test_cookie_bad_max_age[30.1]\ntests/test_cookies.py::test_cookie_bad_max_age[test]\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.max-age=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_max_age[300]\ntests/test_cookies.py::test_cookie_max_age[301]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:210: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n cookie_expires = datetime.utcfromtimestamp(\n\ntests/test_cookies.py::test_cookie_max_age[300]\ntests/test_cookies.py::test_cookie_max_age[301]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:217: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n expires = datetime.utcnow().replace(microsecond=0) + timedelta(\n\ntests/test_cookies.py::test_cookie_expires[expires0]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:249: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n expires_time = datetime.utcnow().replace(microsecond=0) + expires\n\ntests/test_cookies.py::test_cookie_expires[expires0]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:263: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n cookie_expires = datetime.utcfromtimestamp(\n\ntests/test_cookies.py::test_request_with_duplicate_cookie_key[foo=one; foo=two]\ntests/test_cookies.py::test_request_with_duplicate_cookie_key[foo=one;foo=two]\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'foo', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['foo'] to request.cookies.get('foo'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.domain=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.path=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.secure=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.samesite=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_accessors\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'one', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['one'] to request.cookies.get('one'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_accessors\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'two', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['two'] to request.cookies.get('two'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_accessors\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'three', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['three'] to request.cookies.get('three'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_custom_request.py: 1 warning\ntests/test_payload_too_large.py: 1 warning\ntests/test_pipelining.py: 2 warnings\ntests/test_request_stream.py: 28 warnings\ntests/test_requests.py: 41 warnings\ntests/test_utf8.py: 1 warning\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/httpx/_content.py:204: DeprecationWarning: Use 'content=<...>' to upload raw bytes/text content.\n warnings.warn(message, DeprecationWarning)\n\ntests/test_errorpages.py::test_guess_mime_logging[-auto-/-The client accepts /, using 'json' from request.json]\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Response type was determined by the JSON content of the request. This behavior is deprecated and will be removed in v24.3. Please specify the format either by\n error_format=\"json\" on route fakeroute, by\n FALLBACK_ERROR_FORMAT = \"json\", or by adding header\n accept: application/json to your requests.\n warn(version_info + message, DeprecationWarning)\n\ntests/test_multiprocessing.py: 16 warnings\ntests/test_tls.py: 4 warnings\ntests/test_unix_socket.py: 3 warnings\ntests/worker/test_multiplexer.py: 2 warnings\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/multiprocessing/popen_fork.py:66: DeprecationWarning: This process (pid=2164) is multi-threaded, use of fork() may lead to deadlocks in the child.\n self.pid = os.fork()\n\ntests/test_signals.py::test_invalid_signal[foo.<bar>.baz]\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/weakref.py:104: RuntimeWarning: coroutine 'Loop.create_server' was never awaited\n def __init__(self, other=(), /, kw):\n\ntests/test_tasks.py::test_purge_tasks\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/pytest_sanic/plugin.py:76: RuntimeWarning: coroutine 'dummy' was never awaited\n loop.run_until_complete(\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/test_timeout_logic.py::test_check_timeouts_no_timeout\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:404: RuntimeWarning: coroutine 'HttpProtocol.connection_task' was never awaited\n def __init__(self, /, args, kwargs):\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/test_tls.py::test_url_attributes_with_ssl_context[/moo/boo-arg1=val1-https://{}:{}/moo/boo?arg1=val1]\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/sanic_routing/route.py:309: RuntimeWarning: coroutine 'HttpProtocol.connection_task' was never awaited\n return tuple(\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/test_tls.py::test_sanic_ssl_context_create\n /home/runner/work/sanic/sanic/tests/test_tls.py:678: DeprecationWarning: ssl.SSLContext() without protocol argument is deprecated.\n context = ssl.SSLContext()\n\ntests/test_tls.py::test_sanic_ssl_context_create\n /home/runner/work/sanic/sanic/tests/test_tls.py:678: DeprecationWarning: ssl.PROTOCOL_TLS is deprecated\n context = ssl.SSLContext()\n\ntests/test_websockets.py::test_ws_frame_put_fetched[0]\ntests/test_websockets.py::test_ws_frame_put_fetched[1]\ntests/test_websockets.py::test_ws_frame_put_fetched[2]\ntests/test_websockets.py::test_ws_frame_put_message_into_queue[0]\ntests/test_websockets.py::test_ws_frame_put_message_into_queue[1]\ntests/test_websockets.py::test_ws_frame_put_message_into_queue[2]\n /home/runner/work/sanic/sanic/sanic/server/websockets/frame.py:291: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n self.message_fetched.clear()\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_send_headers\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:2185: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n def __init__(self, name, parent):\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_request_stream_id\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/sanic_routing/tree.py:435: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n def __init__(self, router) -> None:\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_request_conn_info\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/weakref.py:104: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n def __init__(self, other=(), /, kw):\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_request_header_encoding\n <frozen os>:685: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------------------------------------------------------------------------------------------------- benchmark: 2 tests ----------------------------------------------------------------------------------------------------\nName (time in ns) Min Max Mean StdDev Median IQR Outliers OPS (Kops/s) Rounds Iterations\n----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\ntest_resolve_route_no_arg_string_path 919.7150 (1.0) 22,357.5190 (1.96) 1,028.9591 (1.0) 675.3904 (2.04) 1,009.4915 (1.0) 18.2145 (1.0) 1;50 971.8559 (1.0) 1000 1000\ntest_resolve_route_with_typed_args 934.0110 (1.02) 11,421.9020 (1.0) 1,036.0337 (1.01) 330.4639 (1.0) 1,035.6305 (1.03) 24.8865 (1.37) 1;160 965.2196 (0.99) 1000 1000\n----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n\nLegend:\n Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.\n OPS: Operations Per Second, computed as 1 / Mean\n=========================== short test summary info ============================\nFAILED tests/test_websockets.py::test_ws_frame_put_message_into_queue[0] - At...\nFAILED tests/test_websockets.py::test_ws_frame_put_message_into_queue[1] - At...\nFAILED tests/test_websockets.py::test_ws_frame_put_message_into_queue[2] - At...\n= 3 failed, 1638 passed, 9 skipped, 11 xfailed, 30772 warnings in 232.06s (0:03:52) =\npy312: exit 1 (237.15 seconds) /home/runner/work/sanic/sanic> coverage run --source ./sanic -m pytest tests pid=2164\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n py312: FAIL code 1 (265.07=setup[27.92]+cmd[237.15] seconds)\n evaluation failed :( (265.80 seconds)\nAttempt 1 failed. Reason: Child_process exited with error code 1\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: get_requires_for_build_editable> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: freeze> python -m pip freeze --all\n.pkg: pip==23.3.1,setuptools==69.0.2,wheel==0.42.0\n.pkg: build_editable> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\npy312: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/sanic/sanic/.tox/.tmp/package/2/sanic-23.12.0-0.editable-py3-none-any.whl\npy312: freeze> python -m pip freeze --all\npy312: aiofiles==23.2.1,aioquic==0.9.24,anyio==4.2.0,asgiref==3.7.2,async-generator==1.10,attrs==23.1.0,bandit==1.7.6,beautifulsoup4==4.12.2,certifi==2023.11.17,cffi==1.16.0,chardet==3.0.4,click==8.1.7,coverage==7.3.3,cryptography==41.0.7,docutils==0.20.1,gitdb==4.0.11,GitPython==3.1.40,h11==0.14.0,html5tagger==1.3.0,httpcore==1.0.2,httptools==0.6.1,httpx==0.25.2,idna==3.6,iniconfig==2.0.0,markdown-it-py==3.0.0,mdurl==0.1.2,multidict==6.0.4,mypy==1.7.1,mypy-extensions==1.0.0,packaging==23.2,pbr==6.0.0,pip==23.3.1,pluggy==1.3.0,py==1.11.0,py-cpuinfo==9.0.0,pyasn1==0.5.1,pyasn1-modules==0.3.0,pycparser==2.21,Pygments==2.17.2,pylsqpack==0.3.18,pyOpenSSL==23.3.0,pytest==7.1.3,pytest-benchmark==4.0.0,pytest-sanic==1.9.1,PyYAML==6.0.1,rich==13.7.0,ruff==0.1.8,sanic @ file:///home/runner/work/sanic/sanic/.tox/.tmp/package/2/sanic-23.12.0-0.editable-py3-none-any.whl#sha256=6d63f66205472d98472734dd000cb69f4b649c3af34942a886ee6a5dcd3c88ed,sanic-routing @ git+https://github.com/sanic-org/sanic-routing.git@0f9405d6a7381ec11b30dafb2577e4b2d2318e45,sanic-testing==23.6.0,service-identity==23.1.0,setuptools==69.0.2,slotscheck==0.17.1,smmap==5.0.1,sniffio==1.3.0,soupsieve==2.5,stevedore==5.1.0,tomli==2.0.1,tracerite==1.1.1,types-ujson==5.9.0.0,typing_extensions==4.9.0,ujson==5.9.0,uvicorn==0.14.0,uvloop==0.19.0,websockets==10.4\npy312: commands[0]> coverage run --source ./sanic -m pytest tests\ncollected 1661 items\n\ntests/test_app.py ...................................................... [ 3%]\n. [ 3%]\ntests/test_asgi.py ........................ [ 4%]\ntests/test_bad_request.py . [ 4%]\ntests/test_base.py ..................... [ 6%]\ntests/test_blueprint_copy.py ... [ 6%]\ntests/test_blueprint_group.py .......... [ 6%]\ntests/test_blueprints.py ............................................ [ 9%]\ntests/test_cancellederror.py . [ 9%]\ntests/test_cli.py ...................................................... [ 12%]\n [ 12%]\ntests/test_coffee.py .... [ 13%]\ntests/test_config.py ......................................... [ 15%]\ntests/test_constants.py ...... [ 15%]\ntests/test_cookies.py ................................... [ 18%]\ntests/test_create_task.py ..... [ 18%]\ntests/test_custom_request.py . [ 18%]\ntests/test_deprecation.py .... [ 18%]\ntests/test_dynamic_routes.py .... [ 18%]\ntests/test_errorpages.py ............................................... [ 21%]\n....... [ 22%]\ntests/test_exceptions.py ..................... [ 23%]\ntests/test_exceptions_handler.py ............. [ 24%]\ntests/test_ext_integration.py ....... [ 24%]\ntests/test_graceful_shutdown.py x. [ 24%]\ntests/test_handler.py . [ 24%]\ntests/test_handler_annotations.py .... [ 24%]\ntests/test_headers.py .................................................. [ 27%]\n...................... [ 29%]\ntests/test_helpers.py ....... [ 29%]\ntests/test_http.py ... [ 29%]\ntests/test_http_alt_svc.py . [ 29%]\ntests/test_init.py ............. [ 30%]\ntests/test_json_decoding.py ... [ 30%]\ntests/test_json_encoding.py ...s [ 31%]\ntests/test_keep_alive_timeout.py .... [ 31%]\ntests/test_late_adds.py ... [ 31%]\ntests/test_logging.py ................... [ 32%]\ntests/test_logo.py ..... [ 33%]\ntests/test_middleware.py ............... [ 33%]\ntests/test_middleware_priority.py ...................................... [ 36%]\n.............. [ 37%]\ntests/test_motd.py ..... [ 37%]\ntests/test_multiprocessing.py ......... [ 37%]\ntests/test_named_routes.py .......................... [ 39%]\ntests/test_payload_too_large.py ... [ 39%]\ntests/test_pipelining.py .... [ 39%]\ntests/test_prepare.py ..... [ 40%]\ntests/test_redirect.py ......... [ 40%]\ntests/test_reloader.py xxxxxx. [ 41%]\ntests/test_request.py .......................................... [ 43%]\ntests/test_request_cancel.py .. [ 43%]\ntests/test_request_data.py .. [ 43%]\ntests/test_request_stream.py ......... [ 44%]\ntests/test_requests.py ................................................. [ 47%]\n........................................................................ [ 51%]\n........... [ 52%]\ntests/test_response.py ................................................. [ 55%]\n.......... [ 55%]\ntests/test_response_file.py ...... [ 56%]\ntests/test_response_json.py ................ [ 57%]\ntests/test_response_timeout.py .... [ 57%]\ntests/test_routes.py ................................................... [ 60%]\n........................................................................ [ 64%]\n...................................... [ 67%]\ntests/test_server_events.py .................... [ 68%]\ntests/test_server_loop.py ss.. [ 68%]\ntests/test_signal_handlers.py ...... [ 69%]\ntests/test_signals.py ................................................. [ 72%]\ntests/test_static.py ..........sssss.................................... [ 75%]\n.......................................s [ 77%]\ntests/test_static_directory.py ....... [ 77%]\ntests/test_tasks.py ...... [ 78%]\ntests/test_test_client_port.py .. [ 78%]\ntests/test_timeout_logic.py ..... [ 78%]\ntests/test_tls.py ........xxx................................... [ 81%]\ntests/test_touchup.py ......... [ 81%]\ntests/test_unix_socket.py x........ [ 82%]\ntests/test_url_building.py ........................... [ 84%]\ntests/test_url_for.py ......... [ 84%]\ntests/test_url_for_static.py ..................... [ 85%]\ntests/test_utf8.py ... [ 86%]\ntests/test_utils.py ...... [ 86%]\ntests/test_versioning.py .............. [ 87%]\ntests/test_vhosts.py ... [ 87%]\ntests/test_views.py ................... [ 88%]\ntests/test_websockets.py ......................FFF...... [ 90%]\ntests/test_ws_handlers.py ........ [ 91%]\ntests/benchmark/test_route_resolution_benchmark.py .. [ 91%]\ntests/http3/test_http_receiver.py ............ [ 91%]\ntests/http3/test_server.py .... [ 92%]\ntests/http3/test_session_ticket_store.py . [ 92%]\ntests/typing/test_typing.py ....... [ 92%]\ntests/worker/test_inspector.py ......... [ 93%]\ntests/worker/test_loader.py ............ [ 93%]\ntests/worker/test_manager.py ................ [ 94%]\ntests/worker/test_multiplexer.py ................. [ 95%]\ntests/worker/test_reloader.py .......... [ 96%]\ntests/worker/test_runner.py .... [ 96%]\ntests/worker/test_shared_ctx.py ............... [ 97%]\ntests/worker/test_socket.py .. [ 97%]\ntests/worker/test_startup.py ......... [ 98%]\ntests/worker/test_state.py .................... [ 99%]\ntests/worker/test_worker_serve.py ......... [100%]\n\n=================================== FAILURES ===================================\n___________________ test_ws_frame_put_message_into_queue[0] ____________________\n\nopcode = <Opcode.CONT: 0>\n\n @pytest.mark.asyncio\n @pytest.mark.parametrize(\"opcode\", DATA_OPCODES)\n async def test_ws_frame_put_message_into_queue(opcode):\n assembler = WebsocketFrameAssembler(Mock())\n assembler.chunks_queue = AsyncMock(spec=Queue)\n assembler.message_fetched = AsyncMock()\n assembler.message_fetched.is_set = Mock(return_value=False)\n \n await assembler.put(Frame(opcode, b\"foo\"))\n \n> assembler.chunks_queue.put.has_calls(\n call(b\"foo\"),\n call(None),\n )\n\n/home/runner/work/sanic/sanic/tests/test_websockets.py:220: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <AsyncMock name='mock.put' id='139960760787472'>, name = 'has_calls'\n\n def __getattr__(self, name):\n if name in {'_mock_methods', '_mock_unsafe'}:\n raise AttributeError(name)\n elif self._mock_methods is not None:\n if name not in self._mock_methods or name in _all_magics:\n raise AttributeError(\"Mock object has no attribute %r\" % name)\n elif _is_magic(name):\n raise AttributeError(name)\n if not self._mock_unsafe and (not self._mock_methods or name not in self._mock_methods):\n if name.startswith(('assert', 'assret', 'asert', 'aseert', 'assrt')) or name in _ATTRIB_DENY_LIST:\n> raise AttributeError(\n f\"{name!r} is not a valid assertion. Use a spec \"\n f\"for the mock if {name!r} is meant to be an attribute.\")\nE AttributeError: 'has_calls' is not a valid assertion. Use a spec for the mock if 'has_calls' is meant to be an attribute.\n\n/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:663: AttributeError\n___________________ test_ws_frame_put_message_into_queue[1] ____________________\n\nopcode = <Opcode.TEXT: 1>\n\n @pytest.mark.asyncio\n @pytest.mark.parametrize(\"opcode\", DATA_OPCODES)\n async def test_ws_frame_put_message_into_queue(opcode):\n assembler = WebsocketFrameAssembler(Mock())\n assembler.chunks_queue = AsyncMock(spec=Queue)\n assembler.message_fetched = AsyncMock()\n assembler.message_fetched.is_set = Mock(return_value=False)\n \n await assembler.put(Frame(opcode, b\"foo\"))\n \n> assembler.chunks_queue.put.has_calls(\n call(b\"foo\"),\n call(None),\n )\n\n/home/runner/work/sanic/sanic/tests/test_websockets.py:220: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <AsyncMock name='mock.put' id='139960759547520'>, name = 'has_calls'\n\n def __getattr__(self, name):\n if name in {'_mock_methods', '_mock_unsafe'}:\n raise AttributeError(name)\n elif self._mock_methods is not None:\n if name not in self._mock_methods or name in _all_magics:\n raise AttributeError(\"Mock object has no attribute %r\" % name)\n elif _is_magic(name):\n raise AttributeError(name)\n if not self._mock_unsafe and (not self._mock_methods or name not in self._mock_methods):\n if name.startswith(('assert', 'assret', 'asert', 'aseert', 'assrt')) or name in _ATTRIB_DENY_LIST:\n> raise AttributeError(\n f\"{name!r} is not a valid assertion. Use a spec \"\n f\"for the mock if {name!r} is meant to be an attribute.\")\nE AttributeError: 'has_calls' is not a valid assertion. Use a spec for the mock if 'has_calls' is meant to be an attribute.\n\n/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:663: AttributeError\n___________________ test_ws_frame_put_message_into_queue[2] ____________________\n\nopcode = <Opcode.BINARY: 2>\n\n @pytest.mark.asyncio\n @pytest.mark.parametrize(\"opcode\", DATA_OPCODES)\n async def test_ws_frame_put_message_into_queue(opcode):\n assembler = WebsocketFrameAssembler(Mock())\n assembler.chunks_queue = AsyncMock(spec=Queue)\n assembler.message_fetched = AsyncMock()\n assembler.message_fetched.is_set = Mock(return_value=False)\n \n await assembler.put(Frame(opcode, b\"foo\"))\n \n> assembler.chunks_queue.put.has_calls(\n call(b\"foo\"),\n call(None),\n )\n\n/home/runner/work/sanic/sanic/tests/test_websockets.py:220: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <AsyncMock name='mock.put' id='139960757038464'>, name = 'has_calls'\n\n def __getattr__(self, name):\n if name in {'_mock_methods', '_mock_unsafe'}:\n raise AttributeError(name)\n elif self._mock_methods is not None:\n if name not in self._mock_methods or name in _all_magics:\n raise AttributeError(\"Mock object has no attribute %r\" % name)\n elif _is_magic(name):\n raise AttributeError(name)\n if not self._mock_unsafe and (not self._mock_methods or name not in self._mock_methods):\n if name.startswith(('assert', 'assret', 'asert', 'aseert', 'assrt')) or name in _ATTRIB_DENY_LIST:\n> raise AttributeError(\n f\"{name!r} is not a valid assertion. Use a spec \"\n f\"for the mock if {name!r} is meant to be an attribute.\")\nE AttributeError: 'has_calls' is not a valid assertion. Use a spec for the mock if 'has_calls' is meant to be an attribute.\n\n/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:663: AttributeError\n=============================== warnings summary ===============================\ntests/test_app.py: 9 warnings\ntests/test_asgi.py: 14 warnings\ntests/test_bad_request.py: 1 warning\ntests/test_blueprint_copy.py: 2 warnings\ntests/test_blueprint_group.py: 3 warnings\ntests/test_blueprints.py: 39 warnings\ntests/test_cancellederror.py: 1 warning\ntests/test_cli.py: 22 warnings\ntests/test_coffee.py: 1 warning\ntests/test_config.py: 2 warnings\ntests/test_constants.py: 1 warning\ntests/test_cookies.py: 19 warnings\ntests/test_create_task.py: 4 warnings\ntests/test_custom_request.py: 1 warning\ntests/test_dynamic_routes.py: 3 warnings\ntests/test_errorpages.py: 18 warnings\ntests/test_exceptions.py: 341 warnings\ntests/test_exceptions_handler.py: 9 warnings\ntests/test_ext_integration.py: 4 warnings\ntests/test_graceful_shutdown.py: 2 warnings\ntests/test_handler.py: 1 warning\ntests/test_handler_annotations.py: 4 warnings\ntests/test_headers.py: 3 warnings\ntests/test_http.py: 3 warnings\ntests/test_http_alt_svc.py: 1 warning\ntests/test_json_decoding.py: 1 warning\ntests/test_keep_alive_timeout.py: 84 warnings\ntests/test_logging.py: 14 warnings\ntests/test_middleware.py: 15 warnings\ntests/test_middleware_priority.py: 46 warnings\ntests/test_multiprocessing.py: 6 warnings\ntests/test_named_routes.py: 1 warning\ntests/test_payload_too_large.py: 3 warnings\ntests/test_pipelining.py: 4 warnings\ntests/test_redirect.py: 9 warnings\ntests/test_request.py: 13 warnings\ntests/test_request_cancel.py: 2 warnings\ntests/test_request_data.py: 2 warnings\ntests/test_request_stream.py: 9 warnings\ntests/test_requests.py: 128 warnings\ntests/test_response.py: 58 warnings\ntests/test_response_json.py: 16 warnings\ntests/test_response_timeout.py: 4 warnings\ntests/test_routes.py: 69 warnings\ntests/test_server_events.py: 15 warnings\ntests/test_signal_handlers.py: 3 warnings\ntests/test_signals.py: 5 warnings\ntests/test_static.py: 79 warnings\ntests/test_static_directory.py: 6 warnings\ntests/test_tasks.py: 1 warning\ntests/test_test_client_port.py: 2 warnings\ntests/test_tls.py: 13 warnings\ntests/test_touchup.py: 6 warnings\ntests/test_unix_socket.py: 4 warnings\ntests/test_url_building.py: 11 warnings\ntests/test_url_for.py: 3 warnings\ntests/test_url_for_static.py: 21 warnings\ntests/test_utf8.py: 3 warnings\ntests/test_versioning.py: 14 warnings\ntests/test_vhosts.py: 3 warnings\ntests/test_views.py: 19 warnings\ntests/test_ws_handlers.py: 8 warnings\ntests/http3/test_server.py: 3 warnings\ntests/worker/test_inspector.py: 6 warnings\ntests/worker/test_multiplexer.py: 1 warning\n /home/runner/work/sanic/sanic/sanic/touchup/schemes/ode.py:70: DeprecationWarning: Attribute s is deprecated and will be removed in Python 3.14; use value instead\n if hasattr(event, \"s\"):\n\ntests/test_asgi.py: 1 warning\ntests/test_cookies.py: 18 warnings\ntests/test_response.py: 1 warning\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION] Setting cookie values using the dict pattern has been deprecated. You should instead use the cookies.add_cookie method. To learn more, please see: https://sanic.dev/en/guide/release-notes/v23.3.html#response-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_asgi.py: 1 warning\ntests/test_cookies.py: 19 warnings\ntests/test_response.py: 1 warning\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION] Accessing cookies from the CookieJar by dict key is deprecated. You should instead use the cookies.get_cookie method. To learn more, please see: https://sanic.dev/en/guide/release-notes/v23.3.html#response-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_asgi.py::test_cookie_customization\ntests/test_cookies.py::test_false_cookies_encoded[False-False]\ntests/test_cookies.py::test_false_cookies_encoded[True-True]\ntests/test_cookies.py::test_false_cookies[False-False]\ntests/test_cookies.py::test_false_cookies[True-True]\ntests/test_cookies.py::test_cookie_options\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.httponly=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cli.py: 2 warnings\ntests/test_tls.py: 9 warnings\n /home/runner/work/sanic/sanic/sanic/http/tls/context.py:191: DeprecationWarning: ssl.SSLContext() without protocol argument is deprecated.\n return super().__new__(cls)\n\ntests/test_cli.py: 2 warnings\ntests/test_tls.py: 9 warnings\n /home/runner/work/sanic/sanic/sanic/http/tls/context.py:191: DeprecationWarning: ssl.PROTOCOL_TLS is deprecated\n return super().__new__(cls)\n\ntests/test_cli.py: 21 warnings\ntests/test_exceptions.py: 336 warnings\ntests/test_keep_alive_timeout.py: 84 warnings\n /home/runner/work/sanic/sanic/sanic/touchup/schemes/ode.py:71: DeprecationWarning: Attribute s is deprecated and will be removed in Python 3.14; use value instead\n event_name = getattr(event, \"value\", event.s)\n\ntests/test_cookies.py::test_cookies\ntests/test_cookies.py::test_cookies_asgi\ntests/test_cookies.py::test_http2_cookies\ntests/test_requests.py::test_request_cookies\ntests/test_requests.py::test_request_cookies_asgi\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'test', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['test'] to request.cookies.get('test'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py: 12 warnings\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Direct encoding of a Cookie object has been deprecated and will be removed in v24.3.\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_options\ntests/test_cookies.py::test_cookie_expires[expires0]\ntests/test_cookies.py::test_cookie_expires_illegal_instance_type[Fri, 21-Dec-2018 15:30:00 GMT]\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.expires=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_deletion\ntests/test_cookies.py::test_cookie_jar_old_school_delete_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION] Deleting cookie values using the dict pattern has been deprecated. You should instead use the cookies.delete_cookie method. To learn more, please see: https://sanic.dev/en/guide/release-notes/v23.3.html#response-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_set_unknown_property\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.invalid=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_max_age[0]\ntests/test_cookies.py::test_cookie_max_age[300]\ntests/test_cookies.py::test_cookie_max_age[301]\ntests/test_cookies.py::test_cookie_bad_max_age[30.0]\ntests/test_cookies.py::test_cookie_bad_max_age[30.1]\ntests/test_cookies.py::test_cookie_bad_max_age[test]\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.max-age=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_max_age[300]\ntests/test_cookies.py::test_cookie_max_age[301]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:210: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n cookie_expires = datetime.utcfromtimestamp(\n\ntests/test_cookies.py::test_cookie_max_age[300]\ntests/test_cookies.py::test_cookie_max_age[301]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:217: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n expires = datetime.utcnow().replace(microsecond=0) + timedelta(\n\ntests/test_cookies.py::test_cookie_expires[expires0]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:249: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n expires_time = datetime.utcnow().replace(microsecond=0) + expires\n\ntests/test_cookies.py::test_cookie_expires[expires0]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:263: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n cookie_expires = datetime.utcfromtimestamp(\n\ntests/test_cookies.py::test_request_with_duplicate_cookie_key[foo=one; foo=two]\ntests/test_cookies.py::test_request_with_duplicate_cookie_key[foo=one;foo=two]\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'foo', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['foo'] to request.cookies.get('foo'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.domain=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.path=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.secure=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.samesite=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_accessors\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'one', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['one'] to request.cookies.get('one'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_accessors\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'two', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['two'] to request.cookies.get('two'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_accessors\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'three', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['three'] to request.cookies.get('three'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_custom_request.py: 1 warning\ntests/test_payload_too_large.py: 1 warning\ntests/test_pipelining.py: 2 warnings\ntests/test_request_stream.py: 28 warnings\ntests/test_requests.py: 41 warnings\ntests/test_utf8.py: 1 warning\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/httpx/_content.py:204: DeprecationWarning: Use 'content=<...>' to upload raw bytes/text content.\n warnings.warn(message, DeprecationWarning)\n\ntests/test_errorpages.py::test_guess_mime_logging[-auto-/-The client accepts /, using 'json' from request.json]\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Response type was determined by the JSON content of the request. This behavior is deprecated and will be removed in v24.3. Please specify the format either by\n error_format=\"json\" on route fakeroute, by\n FALLBACK_ERROR_FORMAT = \"json\", or by adding header\n accept: application/json to your requests.\n warn(version_info + message, DeprecationWarning)\n\ntests/test_multiprocessing.py: 16 warnings\ntests/test_tls.py: 4 warnings\ntests/test_unix_socket.py: 3 warnings\ntests/worker/test_multiplexer.py: 2 warnings\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/multiprocessing/popen_fork.py:66: DeprecationWarning: This process (pid=8050) is multi-threaded, use of fork() may lead to deadlocks in the child.\n self.pid = os.fork()\n\ntests/test_static.py::test_static_file_specified_host[test.file]\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/ast.py:52: RuntimeWarning: coroutine 'Loop.create_server' was never awaited\n return compile(source, filename, mode, flags,\n\ntests/test_tasks.py::test_purge_tasks\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/pytest_sanic/plugin.py:76: RuntimeWarning: coroutine 'dummy' was never awaited\n loop.run_until_complete(\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/test_timeout_logic.py::test_check_timeouts_request_timeout\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:434: RuntimeWarning: coroutine 'HttpProtocol.connection_task' was never awaited\n new = type(cls.__name__, bases, {'__doc__': cls.__doc__})\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/test_tls.py::test_url_attributes_with_ssl_context[/moo/boo-arg1=val1-https://{}:{}/moo/boo?arg1=val1]\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/ast.py:52: RuntimeWarning: coroutine 'HttpProtocol.connection_task' was never awaited\n return compile(source, filename, mode, flags,\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/test_tls.py::test_sanic_ssl_context_create\n /home/runner/work/sanic/sanic/tests/test_tls.py:678: DeprecationWarning: ssl.SSLContext() without protocol argument is deprecated.\n context = ssl.SSLContext()\n\ntests/test_tls.py::test_sanic_ssl_context_create\n /home/runner/work/sanic/sanic/tests/test_tls.py:678: DeprecationWarning: ssl.PROTOCOL_TLS is deprecated\n context = ssl.SSLContext()\n\ntests/test_views.py::test_methods[GET]\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/ast.py:1789: RuntimeWarning: coroutine 'HttpProtocol.connection_task' was never awaited\n unparser = _Unparser()\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/test_websockets.py::test_ws_frame_put_fetched[0]\ntests/test_websockets.py::test_ws_frame_put_fetched[1]\ntests/test_websockets.py::test_ws_frame_put_fetched[2]\ntests/test_websockets.py::test_ws_frame_put_message_into_queue[0]\ntests/test_websockets.py::test_ws_frame_put_message_into_queue[1]\ntests/test_websockets.py::test_ws_frame_put_message_into_queue[2]\n /home/runner/work/sanic/sanic/sanic/server/websockets/frame.py:291: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n self.message_fetched.clear()\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_send_headers\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/ast.py:52: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n return compile(source, filename, mode, flags,\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_request_stream_id\ntests/http3/test_http_receiver.py::test_request_conn_info\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/ast.py:406: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n visitor = getattr(self, method, self.generic_visit)\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_request_header_encoding\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/ast.py:257: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n def iter_fields(node):\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------------------------------------------------------------------------------------------------- benchmark: 2 tests ----------------------------------------------------------------------------------------------------\nName (time in ns) Min Max Mean StdDev Median IQR Outliers OPS (Kops/s) Rounds Iterations\n----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\ntest_resolve_route_with_typed_args 940.0830 (1.0) 11,328.7800 (1.0) 1,018.3106 (1.0) 326.7959 (1.0) 1,007.4380 (1.00) 16.8465 (1.36) 1;19 982.0186 (1.0) 1000 1000\ntest_resolve_route_no_arg_string_path 979.7060 (1.04) 22,414.2740 (1.98) 1,031.2724 (1.01) 677.4905 (2.07) 1,006.1510 (1.0) 12.3480 (1.0) 1;41 969.6759 (0.99) 1000 1000\n----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n\nLegend:\n Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.\n OPS: Operations Per Second, computed as 1 / Mean\n=========================== short test summary info ============================\nFAILED tests/test_websockets.py::test_ws_frame_put_message_into_queue[0] - At...\nFAILED tests/test_websockets.py::test_ws_frame_put_message_into_queue[1] - At...\nFAILED tests/test_websockets.py::test_ws_frame_put_message_into_queue[2] - At...\n= 3 failed, 1638 passed, 9 skipped, 11 xfailed, 1891 warnings in 210.94s (0:03:30) =\npy312: exit 1 (214.50 seconds) /home/runner/work/sanic/sanic> coverage run --source ./sanic -m pytest tests pid=8050\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n py312: FAIL code 1 (216.13=setup[1.63]+cmd[214.50] seconds)\n evaluation failed :( (216.28 seconds)\nAttempt 2 failed. Reason: Child_process exited with error code 1\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: get_requires_for_build_editable> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n.pkg: freeze> python -m pip freeze --all\n.pkg: pip==23.3.1,setuptools==69.0.2,wheel==0.42.0\n.pkg: build_editable> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\npy312: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/sanic/sanic/.tox/.tmp/package/3/sanic-23.12.0-0.editable-py3-none-any.whl\npy312: freeze> python -m pip freeze --all\npy312: aiofiles==23.2.1,aioquic==0.9.24,anyio==4.2.0,asgiref==3.7.2,async-generator==1.10,attrs==23.1.0,bandit==1.7.6,beautifulsoup4==4.12.2,certifi==2023.11.17,cffi==1.16.0,chardet==3.0.4,click==8.1.7,coverage==7.3.3,cryptography==41.0.7,docutils==0.20.1,gitdb==4.0.11,GitPython==3.1.40,h11==0.14.0,html5tagger==1.3.0,httpcore==1.0.2,httptools==0.6.1,httpx==0.25.2,idna==3.6,iniconfig==2.0.0,markdown-it-py==3.0.0,mdurl==0.1.2,multidict==6.0.4,mypy==1.7.1,mypy-extensions==1.0.0,packaging==23.2,pbr==6.0.0,pip==23.3.1,pluggy==1.3.0,py==1.11.0,py-cpuinfo==9.0.0,pyasn1==0.5.1,pyasn1-modules==0.3.0,pycparser==2.21,Pygments==2.17.2,pylsqpack==0.3.18,pyOpenSSL==23.3.0,pytest==7.1.3,pytest-benchmark==4.0.0,pytest-sanic==1.9.1,PyYAML==6.0.1,rich==13.7.0,ruff==0.1.8,sanic @ file:///home/runner/work/sanic/sanic/.tox/.tmp/package/3/sanic-23.12.0-0.editable-py3-none-any.whl#sha256=ab2a8fd4976dd590181074cd5462b3885d77bdd37b409090053b533f8f000cc9,sanic-routing @ git+https://github.com/sanic-org/sanic-routing.git@0f9405d6a7381ec11b30dafb2577e4b2d2318e45,sanic-testing==23.6.0,service-identity==23.1.0,setuptools==69.0.2,slotscheck==0.17.1,smmap==5.0.1,sniffio==1.3.0,soupsieve==2.5,stevedore==5.1.0,tomli==2.0.1,tracerite==1.1.1,types-ujson==5.9.0.0,typing_extensions==4.9.0,ujson==5.9.0,uvicorn==0.14.0,uvloop==0.19.0,websockets==10.4\npy312: commands[0]> coverage run --source ./sanic -m pytest tests\ncollected 1661 items\n\ntests/test_app.py ...................................................... [ 3%]\n. [ 3%]\ntests/test_asgi.py ........................ [ 4%]\ntests/test_bad_request.py . [ 4%]\ntests/test_base.py ..................... [ 6%]\ntests/test_blueprint_copy.py ... [ 6%]\ntests/test_blueprint_group.py .......... [ 6%]\ntests/test_blueprints.py ............................................ [ 9%]\ntests/test_cancellederror.py . [ 9%]\ntests/test_cli.py ...................................................... [ 12%]\n [ 12%]\ntests/test_coffee.py .... [ 13%]\ntests/test_config.py ......................................... [ 15%]\ntests/test_constants.py ...... [ 15%]\ntests/test_cookies.py ................................... [ 18%]\ntests/test_create_task.py ..... [ 18%]\ntests/test_custom_request.py . [ 18%]\ntests/test_deprecation.py .... [ 18%]\ntests/test_dynamic_routes.py .... [ 18%]\ntests/test_errorpages.py ............................................... [ 21%]\n....... [ 22%]\ntests/test_exceptions.py ..................... [ 23%]\ntests/test_exceptions_handler.py ............. [ 24%]\ntests/test_ext_integration.py ....... [ 24%]\ntests/test_graceful_shutdown.py x. [ 24%]\ntests/test_handler.py . [ 24%]\ntests/test_handler_annotations.py .... [ 24%]\ntests/test_headers.py .................................................. [ 27%]\n...................... [ 29%]\ntests/test_helpers.py ....... [ 29%]\ntests/test_http.py ... [ 29%]\ntests/test_http_alt_svc.py . [ 29%]\ntests/test_init.py ............. [ 30%]\ntests/test_json_decoding.py ... [ 30%]\ntests/test_json_encoding.py ...s [ 31%]\ntests/test_keep_alive_timeout.py .... [ 31%]\ntests/test_late_adds.py ... [ 31%]\ntests/test_logging.py ................... [ 32%]\ntests/test_logo.py ..... [ 33%]\ntests/test_middleware.py ............... [ 33%]\ntests/test_middleware_priority.py ...................................... [ 36%]\n.............. [ 37%]\ntests/test_motd.py ..... [ 37%]\ntests/test_multiprocessing.py ......... [ 37%]\ntests/test_named_routes.py .......................... [ 39%]\ntests/test_payload_too_large.py ... [ 39%]\ntests/test_pipelining.py .... [ 39%]\ntests/test_prepare.py ..... [ 40%]\ntests/test_redirect.py ......... [ 40%]\ntests/test_reloader.py xxxxxx. [ 41%]\ntests/test_request.py .......................................... [ 43%]\ntests/test_request_cancel.py .. [ 43%]\ntests/test_request_data.py .. [ 43%]\ntests/test_request_stream.py ......... [ 44%]\ntests/test_requests.py ................................................. [ 47%]\n........................................................................ [ 51%]\n........... [ 52%]\ntests/test_response.py ................................................. [ 55%]\n.......... [ 55%]\ntests/test_response_file.py ...... [ 56%]\ntests/test_response_json.py ................ [ 57%]\ntests/test_response_timeout.py .... [ 57%]\ntests/test_routes.py ................................................... [ 60%]\n........................................................................ [ 64%]\n...................................... [ 67%]\ntests/test_server_events.py .................... [ 68%]\ntests/test_server_loop.py ss.. [ 68%]\ntests/test_signal_handlers.py ...... [ 69%]\ntests/test_signals.py ................................................. [ 72%]\ntests/test_static.py ..........sssss.................................... [ 75%]\n.......................................s [ 77%]\ntests/test_static_directory.py ....... [ 77%]\ntests/test_tasks.py ...... [ 78%]\ntests/test_test_client_port.py .. [ 78%]\ntests/test_timeout_logic.py ..... [ 78%]\ntests/test_tls.py ........xxx................................... [ 81%]\ntests/test_touchup.py ......... [ 81%]\ntests/test_unix_socket.py x........ [ 82%]\ntests/test_url_building.py ........................... [ 84%]\ntests/test_url_for.py ......... [ 84%]\ntests/test_url_for_static.py ..................... [ 85%]\ntests/test_utf8.py ... [ 86%]\ntests/test_utils.py ...... [ 86%]\ntests/test_versioning.py .............. [ 87%]\ntests/test_vhosts.py ... [ 87%]\ntests/test_views.py ................... [ 88%]\ntests/test_websockets.py ......................FFF...... [ 90%]\ntests/test_ws_handlers.py ........ [ 91%]\ntests/benchmark/test_route_resolution_benchmark.py .. [ 91%]\ntests/http3/test_http_receiver.py ............ [ 91%]\ntests/http3/test_server.py .... [ 92%]\ntests/http3/test_session_ticket_store.py . [ 92%]\ntests/typing/test_typing.py ....... [ 92%]\ntests/worker/test_inspector.py ......... [ 93%]\ntests/worker/test_loader.py ............ [ 93%]\ntests/worker/test_manager.py ................ [ 94%]\ntests/worker/test_multiplexer.py ................. [ 95%]\ntests/worker/test_reloader.py .......... [ 96%]\ntests/worker/test_runner.py .... [ 96%]\ntests/worker/test_shared_ctx.py ............... [ 97%]\ntests/worker/test_socket.py .. [ 97%]\ntests/worker/test_startup.py ......... [ 98%]\ntests/worker/test_state.py .................... [ 99%]\ntests/worker/test_worker_serve.py ......... [100%]\n\n=================================== FAILURES ===================================\n___________________ test_ws_frame_put_message_into_queue[0] ____________________\n\nopcode = <Opcode.CONT: 0>\n\n @pytest.mark.asyncio\n @pytest.mark.parametrize(\"opcode\", DATA_OPCODES)\n async def test_ws_frame_put_message_into_queue(opcode):\n assembler = WebsocketFrameAssembler(Mock())\n assembler.chunks_queue = AsyncMock(spec=Queue)\n assembler.message_fetched = AsyncMock()\n assembler.message_fetched.is_set = Mock(return_value=False)\n \n await assembler.put(Frame(opcode, b\"foo\"))\n \n> assembler.chunks_queue.put.has_calls(\n call(b\"foo\"),\n call(None),\n )\n\n/home/runner/work/sanic/sanic/tests/test_websockets.py:220: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <AsyncMock name='mock.put' id='140154738813136'>, name = 'has_calls'\n\n def __getattr__(self, name):\n if name in {'_mock_methods', '_mock_unsafe'}:\n raise AttributeError(name)\n elif self._mock_methods is not None:\n if name not in self._mock_methods or name in _all_magics:\n raise AttributeError(\"Mock object has no attribute %r\" % name)\n elif _is_magic(name):\n raise AttributeError(name)\n if not self._mock_unsafe and (not self._mock_methods or name not in self._mock_methods):\n if name.startswith(('assert', 'assret', 'asert', 'aseert', 'assrt')) or name in _ATTRIB_DENY_LIST:\n> raise AttributeError(\n f\"{name!r} is not a valid assertion. Use a spec \"\n f\"for the mock if {name!r} is meant to be an attribute.\")\nE AttributeError: 'has_calls' is not a valid assertion. Use a spec for the mock if 'has_calls' is meant to be an attribute.\n\n/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:663: AttributeError\n___________________ test_ws_frame_put_message_into_queue[1] ____________________\n\nopcode = <Opcode.TEXT: 1>\n\n @pytest.mark.asyncio\n @pytest.mark.parametrize(\"opcode\", DATA_OPCODES)\n async def test_ws_frame_put_message_into_queue(opcode):\n assembler = WebsocketFrameAssembler(Mock())\n assembler.chunks_queue = AsyncMock(spec=Queue)\n assembler.message_fetched = AsyncMock()\n assembler.message_fetched.is_set = Mock(return_value=False)\n \n await assembler.put(Frame(opcode, b\"foo\"))\n \n> assembler.chunks_queue.put.has_calls(\n call(b\"foo\"),\n call(None),\n )\n\n/home/runner/work/sanic/sanic/tests/test_websockets.py:220: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <AsyncMock name='mock.put' id='140154738678896'>, name = 'has_calls'\n\n def __getattr__(self, name):\n if name in {'_mock_methods', '_mock_unsafe'}:\n raise AttributeError(name)\n elif self._mock_methods is not None:\n if name not in self._mock_methods or name in _all_magics:\n raise AttributeError(\"Mock object has no attribute %r\" % name)\n elif _is_magic(name):\n raise AttributeError(name)\n if not self._mock_unsafe and (not self._mock_methods or name not in self._mock_methods):\n if name.startswith(('assert', 'assret', 'asert', 'aseert', 'assrt')) or name in _ATTRIB_DENY_LIST:\n> raise AttributeError(\n f\"{name!r} is not a valid assertion. Use a spec \"\n f\"for the mock if {name!r} is meant to be an attribute.\")\nE AttributeError: 'has_calls' is not a valid assertion. Use a spec for the mock if 'has_calls' is meant to be an attribute.\n\n/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:663: AttributeError\n___________________ test_ws_frame_put_message_into_queue[2] ____________________\n\nopcode = <Opcode.BINARY: 2>\n\n @pytest.mark.asyncio\n @pytest.mark.parametrize(\"opcode\", DATA_OPCODES)\n async def test_ws_frame_put_message_into_queue(opcode):\n assembler = WebsocketFrameAssembler(Mock())\n assembler.chunks_queue = AsyncMock(spec=Queue)\n assembler.message_fetched = AsyncMock()\n assembler.message_fetched.is_set = Mock(return_value=False)\n \n await assembler.put(Frame(opcode, b\"foo\"))\n \n> assembler.chunks_queue.put.has_calls(\n call(b\"foo\"),\n call(None),\n )\n\n/home/runner/work/sanic/sanic/tests/test_websockets.py:220: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <AsyncMock name='mock.put' id='140154738612448'>, name = 'has_calls'\n\n def __getattr__(self, name):\n if name in {'_mock_methods', '_mock_unsafe'}:\n raise AttributeError(name)\n elif self._mock_methods is not None:\n if name not in self._mock_methods or name in _all_magics:\n raise AttributeError(\"Mock object has no attribute %r\" % name)\n elif _is_magic(name):\n raise AttributeError(name)\n if not self._mock_unsafe and (not self._mock_methods or name not in self._mock_methods):\n if name.startswith(('assert', 'assret', 'asert', 'aseert', 'assrt')) or name in _ATTRIB_DENY_LIST:\n> raise AttributeError(\n f\"{name!r} is not a valid assertion. Use a spec \"\n f\"for the mock if {name!r} is meant to be an attribute.\")\nE AttributeError: 'has_calls' is not a valid assertion. Use a spec for the mock if 'has_calls' is meant to be an attribute.\n\n/opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:663: AttributeError\n=============================== warnings summary ===============================\ntests/test_app.py: 9 warnings\ntests/test_asgi.py: 14 warnings\ntests/test_bad_request.py: 1 warning\ntests/test_blueprint_copy.py: 2 warnings\ntests/test_blueprint_group.py: 3 warnings\ntests/test_blueprints.py: 39 warnings\ntests/test_cancellederror.py: 1 warning\ntests/test_cli.py: 22 warnings\ntests/test_coffee.py: 1 warning\ntests/test_config.py: 2 warnings\ntests/test_constants.py: 1 warning\ntests/test_cookies.py: 19 warnings\ntests/test_create_task.py: 4 warnings\ntests/test_custom_request.py: 1 warning\ntests/test_dynamic_routes.py: 3 warnings\ntests/test_errorpages.py: 18 warnings\ntests/test_exceptions.py: 341 warnings\ntests/test_exceptions_handler.py: 9 warnings\ntests/test_ext_integration.py: 4 warnings\ntests/test_graceful_shutdown.py: 2 warnings\ntests/test_handler.py: 1 warning\ntests/test_handler_annotations.py: 4 warnings\ntests/test_headers.py: 3 warnings\ntests/test_http.py: 3 warnings\ntests/test_http_alt_svc.py: 1 warning\ntests/test_json_decoding.py: 1 warning\ntests/test_keep_alive_timeout.py: 84 warnings\ntests/test_logging.py: 14 warnings\ntests/test_middleware.py: 15 warnings\ntests/test_middleware_priority.py: 46 warnings\ntests/test_multiprocessing.py: 6 warnings\ntests/test_named_routes.py: 1 warning\ntests/test_payload_too_large.py: 3 warnings\ntests/test_pipelining.py: 4 warnings\ntests/test_redirect.py: 9 warnings\ntests/test_request.py: 13 warnings\ntests/test_request_cancel.py: 2 warnings\ntests/test_request_data.py: 2 warnings\ntests/test_request_stream.py: 9 warnings\ntests/test_requests.py: 128 warnings\ntests/test_response.py: 58 warnings\ntests/test_response_json.py: 16 warnings\ntests/test_response_timeout.py: 4 warnings\ntests/test_routes.py: 69 warnings\ntests/test_server_events.py: 15 warnings\ntests/test_signal_handlers.py: 3 warnings\ntests/test_signals.py: 5 warnings\ntests/test_static.py: 79 warnings\ntests/test_static_directory.py: 6 warnings\ntests/test_tasks.py: 1 warning\ntests/test_test_client_port.py: 2 warnings\ntests/test_tls.py: 13 warnings\ntests/test_touchup.py: 6 warnings\ntests/test_unix_socket.py: 4 warnings\ntests/test_url_building.py: 11 warnings\ntests/test_url_for.py: 3 warnings\ntests/test_url_for_static.py: 21 warnings\ntests/test_utf8.py: 3 warnings\ntests/test_versioning.py: 14 warnings\ntests/test_vhosts.py: 3 warnings\ntests/test_views.py: 19 warnings\ntests/test_ws_handlers.py: 8 warnings\ntests/http3/test_server.py: 3 warnings\ntests/worker/test_inspector.py: 6 warnings\ntests/worker/test_multiplexer.py: 1 warning\n /home/runner/work/sanic/sanic/sanic/touchup/schemes/ode.py:70: DeprecationWarning: Attribute s is deprecated and will be removed in Python 3.14; use value instead\n if hasattr(event, \"s\"):\n\ntests/test_asgi.py: 1 warning\ntests/test_cookies.py: 18 warnings\ntests/test_response.py: 1 warning\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION] Setting cookie values using the dict pattern has been deprecated. You should instead use the cookies.add_cookie method. To learn more, please see: https://sanic.dev/en/guide/release-notes/v23.3.html#response-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_asgi.py: 1 warning\ntests/test_cookies.py: 19 warnings\ntests/test_response.py: 1 warning\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION] Accessing cookies from the CookieJar by dict key is deprecated. You should instead use the cookies.get_cookie method. To learn more, please see: https://sanic.dev/en/guide/release-notes/v23.3.html#response-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_asgi.py::test_cookie_customization\ntests/test_cookies.py::test_false_cookies_encoded[False-False]\ntests/test_cookies.py::test_false_cookies_encoded[True-True]\ntests/test_cookies.py::test_false_cookies[False-False]\ntests/test_cookies.py::test_false_cookies[True-True]\ntests/test_cookies.py::test_cookie_options\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.httponly=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cli.py: 2 warnings\ntests/test_tls.py: 9 warnings\n /home/runner/work/sanic/sanic/sanic/http/tls/context.py:191: DeprecationWarning: ssl.SSLContext() without protocol argument is deprecated.\n return super().__new__(cls)\n\ntests/test_cli.py: 2 warnings\ntests/test_tls.py: 9 warnings\n /home/runner/work/sanic/sanic/sanic/http/tls/context.py:191: DeprecationWarning: ssl.PROTOCOL_TLS is deprecated\n return super().__new__(cls)\n\ntests/test_cli.py: 21 warnings\ntests/test_exceptions.py: 336 warnings\ntests/test_keep_alive_timeout.py: 84 warnings\n /home/runner/work/sanic/sanic/sanic/touchup/schemes/ode.py:71: DeprecationWarning: Attribute s is deprecated and will be removed in Python 3.14; use value instead\n event_name = getattr(event, \"value\", event.s)\n\ntests/test_cookies.py::test_cookies\ntests/test_cookies.py::test_cookies_asgi\ntests/test_cookies.py::test_http2_cookies\ntests/test_requests.py::test_request_cookies\ntests/test_requests.py::test_request_cookies_asgi\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'test', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['test'] to request.cookies.get('test'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py: 12 warnings\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Direct encoding of a Cookie object has been deprecated and will be removed in v24.3.\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_options\ntests/test_cookies.py::test_cookie_expires[expires0]\ntests/test_cookies.py::test_cookie_expires_illegal_instance_type[Fri, 21-Dec-2018 15:30:00 GMT]\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.expires=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_deletion\ntests/test_cookies.py::test_cookie_jar_old_school_delete_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION] Deleting cookie values using the dict pattern has been deprecated. You should instead use the cookies.delete_cookie method. To learn more, please see: https://sanic.dev/en/guide/release-notes/v23.3.html#response-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_set_unknown_property\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.invalid=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_max_age[0]\ntests/test_cookies.py::test_cookie_max_age[300]\ntests/test_cookies.py::test_cookie_max_age[301]\ntests/test_cookies.py::test_cookie_bad_max_age[30.0]\ntests/test_cookies.py::test_cookie_bad_max_age[30.1]\ntests/test_cookies.py::test_cookie_bad_max_age[test]\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.max-age=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_max_age[300]\ntests/test_cookies.py::test_cookie_max_age[301]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:210: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n cookie_expires = datetime.utcfromtimestamp(\n\ntests/test_cookies.py::test_cookie_max_age[300]\ntests/test_cookies.py::test_cookie_max_age[301]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:217: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n expires = datetime.utcnow().replace(microsecond=0) + timedelta(\n\ntests/test_cookies.py::test_cookie_expires[expires0]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:249: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n expires_time = datetime.utcnow().replace(microsecond=0) + expires\n\ntests/test_cookies.py::test_cookie_expires[expires0]\n /home/runner/work/sanic/sanic/tests/test_cookies.py:263: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).\n cookie_expires = datetime.utcfromtimestamp(\n\ntests/test_cookies.py::test_request_with_duplicate_cookie_key[foo=one; foo=two]\ntests/test_cookies.py::test_request_with_duplicate_cookie_key[foo=one;foo=two]\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'foo', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['foo'] to request.cookies.get('foo'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.domain=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.path=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.secure=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_jar_old_school_cookie_encode\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Setting values on a Cookie object as a dict has been deprecated. This feature will be removed in v24.3. You should instead set values on cookies as object properties: cookie.samesite=... \n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_accessors\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'one', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['one'] to request.cookies.get('one'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_accessors\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'two', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['two'] to request.cookies.get('two'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_cookies.py::test_cookie_accessors\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] You are accessing cookie key 'three', which is currently in compat mode returning a single cookie value. Starting in v24.3 accessing a cookie value like this will return a list of values. To avoid this behavior and continue accessing a single value, please upgrade from request.cookies['three'] to request.cookies.get('three'). See more details: https://sanic.dev/en/guide/release-notes/v23.3.html#request-cookies\n warn(version_info + message, DeprecationWarning)\n\ntests/test_custom_request.py: 1 warning\ntests/test_payload_too_large.py: 1 warning\ntests/test_pipelining.py: 2 warnings\ntests/test_request_stream.py: 28 warnings\ntests/test_requests.py: 41 warnings\ntests/test_utf8.py: 1 warning\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/httpx/_content.py:204: DeprecationWarning: Use 'content=<...>' to upload raw bytes/text content.\n warnings.warn(message, DeprecationWarning)\n\ntests/test_errorpages.py::test_guess_mime_logging[-auto-/-The client accepts /, using 'json' from request.json]\n /home/runner/work/sanic/sanic/sanic/log.py:152: DeprecationWarning: [DEPRECATION v24.3] Response type was determined by the JSON content of the request. This behavior is deprecated and will be removed in v24.3. Please specify the format either by\n error_format=\"json\" on route fakeroute, by\n FALLBACK_ERROR_FORMAT = \"json\", or by adding header\n accept: application/json to your requests.\n warn(version_info + message, DeprecationWarning)\n\ntests/test_multiprocessing.py: 16 warnings\ntests/test_tls.py: 4 warnings\ntests/test_unix_socket.py: 3 warnings\ntests/worker/test_multiplexer.py: 2 warnings\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/multiprocessing/popen_fork.py:66: DeprecationWarning: This process (pid=13875) is multi-threaded, use of fork() may lead to deadlocks in the child.\n self.pid = os.fork()\n\ntests/test_signals.py::test_add_signal_method_handler\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:2185: RuntimeWarning: coroutine 'Loop.create_server' was never awaited\n def __init__(self, name, parent):\n\ntests/test_tasks.py::test_purge_tasks\n /home/runner/work/sanic/sanic/.tox/py312/lib/python3.12/site-packages/pytest_sanic/plugin.py:76: RuntimeWarning: coroutine 'dummy' was never awaited\n loop.run_until_complete(\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/test_tls.py::test_url_attributes_with_ssl_context[/foo--https://{}:{}/foo]\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/logging/__init__.py:234: RuntimeWarning: coroutine 'HttpProtocol.connection_task' was never awaited\n def _acquireLock():\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/test_tls.py::test_sanic_ssl_context_create\n /home/runner/work/sanic/sanic/tests/test_tls.py:678: DeprecationWarning: ssl.SSLContext() without protocol argument is deprecated.\n context = ssl.SSLContext()\n\ntests/test_tls.py::test_sanic_ssl_context_create\n /home/runner/work/sanic/sanic/tests/test_tls.py:678: DeprecationWarning: ssl.PROTOCOL_TLS is deprecated\n context = ssl.SSLContext()\n\ntests/test_websockets.py::test_ws_frame_put_fetched[0]\ntests/test_websockets.py::test_ws_frame_put_fetched[1]\ntests/test_websockets.py::test_ws_frame_put_fetched[2]\ntests/test_websockets.py::test_ws_frame_put_message_into_queue[0]\ntests/test_websockets.py::test_ws_frame_put_message_into_queue[1]\ntests/test_websockets.py::test_ws_frame_put_message_into_queue[2]\n /home/runner/work/sanic/sanic/sanic/server/websockets/frame.py:291: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n self.message_fetched.clear()\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_send_headers\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/unittest/mock.py:2185: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n def __init__(self, name, parent):\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_request_stream_id\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/logging/__init__.py:452: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n if not self.validation_pattern.search(self._fmt):\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_request_conn_info\n /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/weakref.py:117: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n self._iterating = set()\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\ntests/http3/test_http_receiver.py::test_request_header_encoding\n /home/runner/work/sanic/sanic/sanic/mixins/routes.py:42: RuntimeWarning: coroutine 'HTTPReceiver.run' was never awaited\n def route(\n Enable tracemalloc to get traceback where the object was allocated.\n See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------------------------------------------------------------------------------------------------- benchmark: 2 tests ----------------------------------------------------------------------------------------------------\nName (time in ns) Min Max Mean StdDev Median IQR Outliers OPS (Kops/s) Rounds Iterations\n----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\ntest_resolve_route_no_arg_string_path 984.4250 (1.0) 22,370.3520 (1.93) 1,050.0664 (1.02) 684.2489 (2.04) 1,015.0820 (1.0) 14.0510 (1.38) 12;48 952.3207 (0.98) 1000 1000\ntest_resolve_route_with_typed_args 991.6080 (1.01) 11,604.6940 (1.0) 1,030.1549 (1.0) 334.9181 (1.0) 1,019.3110 (1.00) 10.2095 (1.0) 1;26 970.7278 (1.0) 1000 1000\n----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n\nLegend:\n Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.\n OPS: Operations Per Second, computed as 1 / Mean\n=========================== short test summary info ============================\nFAILED tests/test_websockets.py::test_ws_frame_put_message_into_queue[0] - At...\nFAILED tests/test_websockets.py::test_ws_frame_put_message_into_queue[1] - At...\nFAILED tests/test_websockets.py::test_ws_frame_put_message_into_queue[2] - At...\n= 3 failed, 1638 passed, 9 skipped, 11 xfailed, 1889 warnings in 214.41s (0:03:34) =\npy312: exit 1 (218.00 seconds) /home/runner/work/sanic/sanic> coverage run --source ./sanic -m pytest tests pid=13875\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.12.1/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n py312: FAIL code 1 (219.63=setup[1.63]+cmd[218.00] seconds)\n evaluation failed :( (219.78 seconds)\n##[error]Final attempt failed. Child_process exited with error code 1\n" } ]	diff --git a/sanic/__version__.py b/sanic/__version__.py index 1cea76e9..5e62ad89 100644 --- a/sanic/__version__.py +++ b/sanic/__version__.py @@ -1 +1 @@ -__version__ = "23.12.0" +__version__ = "23.12.1" diff --git a/tests/test_websockets.py b/tests/test_websockets.py index dd8413b9..5809cfc0 100644 --- a/tests/test_websockets.py +++ b/tests/test_websockets.py @@ -5,7 +5,7 @@ from unittest.mock import Mock, call import pytest -from websockets.frames import CTRL_OPCODES, DATA_OPCODES, Frame +from websockets.frames import CTRL_OPCODES, DATA_OPCODES, Frame, OP_TEXT from sanic.exceptions import ServerError from sanic.server.websockets.frame import WebsocketFrameAssembler @@ -210,17 +210,14 @@ async def test_ws_frame_put_message_complete(opcode): @pytest.mark.asyncio @pytest.mark.parametrize("opcode", DATA_OPCODES) async def test_ws_frame_put_message_into_queue(opcode): + foo = 'foo' if (opcode == OP_TEXT) else b"foo" assembler = WebsocketFrameAssembler(Mock()) assembler.chunks_queue = AsyncMock(spec=Queue) assembler.message_fetched = AsyncMock() assembler.message_fetched.is_set = Mock(return_value=False) - await assembler.put(Frame(opcode, b"foo")) - assembler.chunks_queue.put.has_calls( - call(b"foo"), - call(None), - ) + assert assembler.chunks_queue.put.call_args_list == [call(foo), call(None)] @pytest.mark.asyncio	2	[ "sanic/__version__.py", "tests/test_websockets.py" ]	https://github.com/sanic-org/sanic/tree/2e41e783672597e2e0c7b2842b5934d879374028	2023-12-17T22:26:10Z
Python	23	tornadoweb	tornado	iostream-hostname-test	Test	test.yml	.github/workflows/test.yml	bdarnell	d1b0280fb92d0d8590cf403ca46af3550507d4d2	2da0a9912bc5207e2ac8207b40035377de3e1cd5	# The "test" workflow is run on every PR and runs tests across all # supported python versions and a range of configurations # specified in tox.ini. Also see the "build" workflow which is only # run for release branches and covers platforms other than linux-amd64 # (Platform-specific issues are rare these days so we don't want to # take that time on every build). name: Test on: pull_request jobs: # Before starting the full build matrix, run one test configuration # and the linter (the `black` linter is especially likely to catch # first-time contributors). test_quick: name: Run quick tests runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 name: Install Python with: # Lint python version must be synced with tox.ini python-version: '3.11' - name: Install tox run: python -m pip install tox -c requirements.txt - name: Run test suite run: python -m tox -e py311,lint test_tox: name: Run full tests needs: test_quick runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: matrix: include: - python: '3.8' tox_env: py38-full - python: '3.9' tox_env: py39-full - python: '3.10' tox_env: py310-full - python: '3.10.8' # Early versions of 3.10 and 3.11 had different deprecation # warnings in asyncio. Test with them too to make sure everything # works the same way. tox_env: py310-full - python: '3.11' tox_env: py311-full - python: '3.11.0' tox_env: py311-full - python: '3.12.0-beta.3 - 3.12' tox_env: py312-full - python: 'pypy-3.8' # Pypy is a lot slower due to jit warmup costs, so don't run the # "full" test config there. tox_env: pypy3 - python: '3.11' # Docs python version must be synced with tox.ini tox_env: docs steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 name: Install Python with: python-version: ${{ matrix.python}} - name: Install apt packages run: sudo apt-get update && sudo apt-get install libcurl4-openssl-dev - name: Install tox run: python -m pip install tox -c requirements.txt - name: Run test suite run: python -m tox -e ${{ matrix.tox_env }} test_win: # Windows tests are fairly slow, so only run one configuration here. # We test on windows but not mac because even though mac is a more # fully-supported platform, it's similar enough to linux that we # don't generally need to test it separately. Windows is different # enough that we'll break it if we don't test it in CI. name: Run windows tests needs: test_quick runs-on: windows-2022 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 name: Install Python with: python-version: '3.11' - name: Run test suite # TODO: figure out what's up with these log messages run: py -m tornado.test --fail-if-logs=false env: PIP_INDEX_URL: http://localhost:8629/2023-11-14 UV_INDEX_URL: http://localhost:8629/2023-11-14	[ { "step_name": "Run windows tests/4_Run test suite.txt", "log": "##[group]Run py -m tornado.test --fail-if-logs=false\n\u001b[36;1mpy -m tornado.test --fail-if-logs=false\u001b[0m\nshell: C:\\Program Files\\PowerShell\\7\\pwsh.EXE -command \". '{0}'\"\nenv:\n pythonLocation: C:\\hostedtoolcache\\windows\\Python\\3.11.6\\x64\n PKG_CONFIG_PATH: C:\\hostedtoolcache\\windows\\Python\\3.11.6\\x64/lib/pkgconfig\n Python_ROOT_DIR: C:\\hostedtoolcache\\windows\\Python\\3.11.6\\x64\n Python2_ROOT_DIR: C:\\hostedtoolcache\\windows\\Python\\3.11.6\\x64\n Python3_ROOT_DIR: C:\\hostedtoolcache\\windows\\Python\\3.11.6\\x64\n##[endgroup]\n...............................................................ssssssssssssssssssssssssssssssssssssssssss..................................................................................................................................................s.s..................................................................ss.........................................................[E 231114 03:18:04 base_events:1785] Task was destroyed but it is pending!\n task: <Task pending name='Task-1330' coro=<SelectorThread.__init__.<locals>.thread_manager_anext() running at D:\\a\\tornado\\tornado\\tornado\\platform\\asyncio.py:462>>\nException ignored in: <coroutine object SelectorThread.__init__.<locals>.thread_manager_anext at 0x0000020E04B40A00>\nTraceback (most recent call last):\n File \"C:\\hostedtoolcache\\windows\\Python\\3.12.0\\x64\\Lib\\warnings.py\", line 552, in _warn_unawaited_coroutine\n. warn(msg, category=RuntimeWarning, stacklevel=2, source=coro)\nRuntimeWarning: coroutine 'SelectorThread.__init__.<locals>.thread_manager_anext' was never awaited\n..........s..s.s........................................s......................E.........s.............................s......................................ssssssssssssssssssssssssss.......................................................s...s..s.s.......................................sssssssss........................................................................................................................................................................................s....s.ssss...................................s.............s...............ss..........s...................................................................s.............................................................s............................................................................s...................................................\n======================================================================\nERROR: test_no_match (tornado.test.iostream_test.TestIOStreamCheckHostname.test_no_match)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"D:\\a\\tornado\\tornado\\tornado\\testing.py\", line 102, in __call__\n result = self.orig_method(args, kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"D:\\a\\tornado\\tornado\\tornado\\testing.py\", line 619, in post_coroutine\n return self.io_loop.run_sync(\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"D:\\a\\tornado\\tornado\\tornado\\ioloop.py\", line 539, in run_sync\n return future_cell[0].result()\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"D:\\a\\tornado\\tornado\\tornado\\test\\iostream_test.py\", line 1200, in test_no_match\n with ExpectLog(gen_log, \".alert bad certificate\", level=logging.WARNING):\n File \"D:\\a\\tornado\\tornado\\tornado\\testing.py\", line 758, in __exit__\n raise Exception(\"did not get expected log message\")\nException: did not get expected log message\n\n----------------------------------------------------------------------\nRan 1208 tests in 48.314s\n\nFAILED (errors=1, skipped=105)\nSome tests were skipped because: SO_REUSEPORT is not supported, at\nleast one client should fail connecting for the test to be meaningful,\nflaky on windows, needs fix, no testable future imports, non-posix OS,\nnon-unix platform, preexec_fn not available on win32, py312 has its\nown check for test case returns, pycares module not present, pycurl\nmodule not present, tornado.speedups module not present, twisted\nmodule not present, unix sockets not supported on this platform\n[E 231114 03:18:43 runtests:199] logged 0 infos, 0 warnings, 1 errors, and 672 bytes to stderr\nException ignored in: <socket.socket fd=828, family=2, type=1, proto=0, laddr=('127.0.0.1', 61779), raddr=('127.0.0.1', 61778)>\nResourceWarning: unclosed <socket.socket fd=828, family=2, type=1, proto=0, laddr=('127.0.0.1', 61779), raddr=('127.0.0.1', 61778)>\nException ignored in: <socket.socket fd=832, family=2, type=1, proto=0, laddr=('127.0.0.1', 61778), raddr=('127.0.0.1', 61779)>\nResourceWarning: unclosed <socket.socket fd=832, family=2, type=1, proto=0, laddr=('127.0.0.1', 61778), raddr=('127.0.0.1', 61779)>\nException ignored in: <socket.socket fd=372, family=2, type=1, proto=0, laddr=('127.0.0.1', 61811), raddr=('127.0.0.1', 61810)>\nResourceWarning: unclosed <socket.socket fd=372, family=2, type=1, proto=0, laddr=('127.0.0.1', 61811), raddr=('127.0.0.1', 61810)>\nException ignored in: <socket.socket fd=656, family=2, type=1, proto=0, laddr=('127.0.0.1', 61810), raddr=('127.0.0.1', 61811)>\nResourceWarning: unclosed <socket.socket fd=656, family=2, type=1, proto=0, laddr=('127.0.0.1', 61810), raddr=('127.0.0.1', 61811)>\nException ignored in: <socket.socket fd=408, family=2, type=1, proto=0, laddr=('127.0.0.1', 61815), raddr=('127.0.0.1', 61814)>\nResourceWarning: unclosed <socket.socket fd=408, family=2, type=1, proto=0, laddr=('127.0.0.1', 61815), raddr=('127.0.0.1', 61814)>\nException ignored in: <socket.socket fd=388, family=2, type=1, proto=0, laddr=('127.0.0.1', 61814), raddr=('127.0.0.1', 61815)>\nResourceWarning: unclosed <socket.socket fd=388, family=2, type=1, proto=0, laddr=('127.0.0.1', 61814), raddr=('127.0.0.1', 61815)>\nException ignored in: <socket.socket fd=396, family=2, type=1, proto=0, laddr=('127.0.0.1', 61819), raddr=('127.0.0.1', 61818)>\nResourceWarning: unclosed <socket.socket fd=396, family=2, type=1, proto=0, laddr=('127.0.0.1', 61819), raddr=('127.0.0.1', 61818)>\nException ignored in: <socket.socket fd=392, family=2, type=1, proto=0, laddr=('127.0.0.1', 61818), raddr=('127.0.0.1', 61819)>\nResourceWarning: unclosed <socket.socket fd=392, family=2, type=1, proto=0, laddr=('127.0.0.1', 61818), raddr=('127.0.0.1', 61819)>\nException ignored in: <socket.socket fd=620, family=2, type=1, proto=0, laddr=('127.0.0.1', 61823), raddr=('127.0.0.1', 61822)>\nResourceWarning: unclosed <socket.socket fd=620, family=2, type=1, proto=0, laddr=('127.0.0.1', 61823), raddr=('127.0.0.1', 61822)>\nException ignored in: <socket.socket fd=652, family=2, type=1, proto=0, laddr=('127.0.0.1', 61822), raddr=('127.0.0.1', 61823)>\nResourceWarning: unclosed <socket.socket fd=652, family=2, type=1, proto=0, laddr=('127.0.0.1', 61822), raddr=('127.0.0.1', 61823)>\nException ignored in: <socket.socket fd=784, family=2, type=1, proto=0, laddr=('127.0.0.1', 61827), raddr=('127.0.0.1', 61826)>\nResourceWarning: unclosed <socket.socket fd=784, family=2, type=1, proto=0, laddr=('127.0.0.1', 61827), raddr=('127.0.0.1', 61826)>\nException ignored in: <socket.socket fd=788, family=2, type=1, proto=0, laddr=('127.0.0.1', 61826), raddr=('127.0.0.1', 61827)>\nResourceWarning: unclosed <socket.socket fd=788, family=2, type=1, proto=0, laddr=('127.0.0.1', 61826), raddr=('127.0.0.1', 61827)>\nException ignored in: <socket.socket fd=624, family=2, type=1, proto=0, laddr=('127.0.0.1', 61831), raddr=('127.0.0.1', 61830)>\nResourceWarning: unclosed <socket.socket fd=624, family=2, type=1, proto=0, laddr=('127.0.0.1', 61831), raddr=('127.0.0.1', 61830)>\nException ignored in: <socket.socket fd=600, family=2, type=1, proto=0, laddr=('127.0.0.1', 61830), raddr=('127.0.0.1', 61831)>\nResourceWarning: unclosed <socket.socket fd=600, family=2, type=1, proto=0, laddr=('127.0.0.1', 61830), raddr=('127.0.0.1', 61831)>\nException ignored in: <socket.socket fd=804, family=2, type=1, proto=0, laddr=('127.0.0.1', 61835), raddr=('127.0.0.1', 61834)>\nResourceWarning: unclosed <socket.socket fd=804, family=2, type=1, proto=0, laddr=('127.0.0.1', 61835), raddr=('127.0.0.1', 61834)>\nException ignored in: <socket.socket fd=820, family=2, type=1, proto=0, laddr=('127.0.0.1', 61834), raddr=('127.0.0.1', 61835)>\nResourceWarning: unclosed <socket.socket fd=820, family=2, type=1, proto=0, laddr=('127.0.0.1', 61834), raddr=('127.0.0.1', 61835)>\nException ignored in: <socket.socket fd=824, family=2, type=1, proto=0, laddr=('127.0.0.1', 61839), raddr=('127.0.0.1', 61838)>\nResourceWarning: unclosed <socket.socket fd=824, family=2, type=1, proto=0, laddr=('127.0.0.1', 61839), raddr=('127.0.0.1', 61838)>\nException ignored in: <socket.socket fd=836, family=2, type=1, proto=0, laddr=('127.0.0.1', 61838), raddr=('127.0.0.1', 61839)>\nResourceWarning: unclosed <socket.socket fd=836, family=2, type=1, proto=0, laddr=('127.0.0.1', 61838), raddr=('127.0.0.1', 61839)>\nException ignored in: <socket.socket fd=844, family=2, type=1, proto=0, laddr=('127.0.0.1', 61843), raddr=('127.0.0.1', 61842)>\nResourceWarning: unclosed <socket.socket fd=844, family=2, type=1, proto=0, laddr=('127.0.0.1', 61843), raddr=('127.0.0.1', 61842)>\nException ignored in: <socket.socket fd=848, family=2, type=1, proto=0, laddr=('127.0.0.1', 61842), raddr=('127.0.0.1', 61843)>\nResourceWarning: unclosed <socket.socket fd=848, family=2, type=1, proto=0, laddr=('127.0.0.1', 61842), raddr=('127.0.0.1', 61843)>\nException ignored in: <socket.socket fd=856, family=2, type=1, proto=0, laddr=('127.0.0.1', 61847), raddr=('127.0.0.1', 61846)>\nResourceWarning: unclosed <socket.socket fd=856, family=2, type=1, proto=0, laddr=('127.0.0.1', 61847), raddr=('127.0.0.1', 61846)>\nException ignored in: <socket.socket fd=860, family=2, type=1, proto=0, laddr=('127.0.0.1', 61846), raddr=('127.0.0.1', 61847)>\nResourceWarning: unclosed <socket.socket fd=860, family=2, type=1, proto=0, laddr=('127.0.0.1', 61846), raddr=('127.0.0.1', 61847)>\nException ignored in: <socket.socket fd=900, family=2, type=1, proto=0, laddr=('127.0.0.1', 61897), raddr=('127.0.0.1', 61896)>\nResourceWarning: unclosed <socket.socket fd=900, family=2, type=1, proto=0, laddr=('127.0.0.1', 61897), raddr=('127.0.0.1', 61896)>\nException ignored in: <socket.socket fd=904, family=2, type=1, proto=0, laddr=('127.0.0.1', 61896), raddr=('127.0.0.1', 61897)>\nResourceWarning: unclosed <socket.socket fd=904, family=2, type=1, proto=0, laddr=('127.0.0.1', 61896), raddr=('127.0.0.1', 61897)>\nException ignored in: <socket.socket fd=968, family=2, type=1, proto=0, laddr=('127.0.0.1', 61941), raddr=('127.0.0.1', 61940)>\nResourceWarning: unclosed <socket.socket fd=968, family=2, type=1, proto=0, laddr=('127.0.0.1', 61941), raddr=('127.0.0.1', 61940)>\nException ignored in: <socket.socket fd=952, family=2, type=1, proto=0, laddr=('127.0.0.1', 61940), raddr=('127.0.0.1', 61941)>\nResourceWarning: unclosed <socket.socket fd=952, family=2, type=1, proto=0, laddr=('127.0.0.1', 61940), raddr=('127.0.0.1', 61941)>\nException ignored in: <socket.socket fd=908, family=2, type=1, proto=0, laddr=('127.0.0.1', 61945), raddr=('127.0.0.1', 61944)>\nResourceWarning: unclosed <socket.socket fd=908, family=2, type=1, proto=0, laddr=('127.0.0.1', 61945), raddr=('127.0.0.1', 61944)>\nException ignored in: <socket.socket fd=948, family=2, type=1, proto=0, laddr=('127.0.0.1', 61944), raddr=('127.0.0.1', 61945)>\nResourceWarning: unclosed <socket.socket fd=948, family=2, type=1, proto=0, laddr=('127.0.0.1', 61944), raddr=('127.0.0.1', 61945)>\nException ignored in: <socket.socket fd=936, family=2, type=1, proto=0, laddr=('127.0.0.1', 61949), raddr=('127.0.0.1', 61948)>\nResourceWarning: unclosed <socket.socket fd=936, family=2, type=1, proto=0, laddr=('127.0.0.1', 61949), raddr=('127.0.0.1', 61948)>\nException ignored in: <socket.socket fd=928, family=2, type=1, proto=0, laddr=('127.0.0.1', 61948), raddr=('127.0.0.1', 61949)>\nResourceWarning: unclosed <socket.socket fd=928, family=2, type=1, proto=0, laddr=('127.0.0.1', 61948), raddr=('127.0.0.1', 61949)>\nException ignored in: <socket.socket fd=680, family=2, type=1, proto=0, laddr=('127.0.0.1', 61953), raddr=('127.0.0.1', 61952)>\nResourceWarning: unclosed <socket.socket fd=680, family=2, type=1, proto=0, laddr=('127.0.0.1', 61953), raddr=('127.0.0.1', 61952)>\nException ignored in: <socket.socket fd=888, family=2, type=1, proto=0, laddr=('127.0.0.1', 61952), raddr=('127.0.0.1', 61953)>\nResourceWarning: unclosed <socket.socket fd=888, family=2, type=1, proto=0, laddr=('127.0.0.1', 61952), raddr=('127.0.0.1', 61953)>\nException ignored in: <socket.socket fd=932, family=2, type=1, proto=0, laddr=('127.0.0.1', 61957), raddr=('127.0.0.1', 61956)>\nResourceWarning: unclosed <socket.socket fd=932, family=2, type=1, proto=0, laddr=('127.0.0.1', 61957), raddr=('127.0.0.1', 61956)>\nException ignored in: <socket.socket fd=972, family=2, type=1, proto=0, laddr=('127.0.0.1', 61956), raddr=('127.0.0.1', 61957)>\nResourceWarning: unclosed <socket.socket fd=972, family=2, type=1, proto=0, laddr=('127.0.0.1', 61956), raddr=('127.0.0.1', 61957)>\nException ignored in: <socket.socket fd=980, family=2, type=1, proto=0, laddr=('127.0.0.1', 61961), raddr=('127.0.0.1', 61960)>\nResourceWarning: unclosed <socket.socket fd=980, family=2, type=1, proto=0, laddr=('127.0.0.1', 61961), raddr=('127.0.0.1', 61960)>\nException ignored in: <socket.socket fd=984, family=2, type=1, proto=0, laddr=('127.0.0.1', 61960), raddr=('127.0.0.1', 61961)>\nResourceWarning: unclosed <socket.socket fd=984, family=2, type=1, proto=0, laddr=('127.0.0.1', 61960), raddr=('127.0.0.1', 61961)>\nException ignored in: <socket.socket fd=992, family=2, type=1, proto=0, laddr=('127.0.0.1', 61965), raddr=('127.0.0.1', 61964)>\nResourceWarning: unclosed <socket.socket fd=992, family=2, type=1, proto=0, laddr=('127.0.0.1', 61965), raddr=('127.0.0.1', 61964)>\nException ignored in: <socket.socket fd=996, family=2, type=1, proto=0, laddr=('127.0.0.1', 61964), raddr=('127.0.0.1', 61965)>\nResourceWarning: unclosed <socket.socket fd=996, family=2, type=1, proto=0, laddr=('127.0.0.1', 61964), raddr=('127.0.0.1', 61965)>\nException ignored in: <socket.socket fd=1004, family=2, type=1, proto=0, laddr=('127.0.0.1', 61969), raddr=('127.0.0.1', 61968)>\nResourceWarning: unclosed <socket.socket fd=1004, family=2, type=1, proto=0, laddr=('127.0.0.1', 61969), raddr=('127.0.0.1', 61968)>\nException ignored in: <socket.socket fd=1008, family=2, type=1, proto=0, laddr=('127.0.0.1', 61968), raddr=('127.0.0.1', 61969)>\nResourceWarning: unclosed <socket.socket fd=1008, family=2, type=1, proto=0, laddr=('127.0.0.1', 61968), raddr=('127.0.0.1', 61969)>\nException ignored in: <socket.socket fd=876, family=2, type=1, proto=0, laddr=('127.0.0.1', 61973), raddr=('127.0.0.1', 61972)>\nResourceWarning: unclosed <socket.socket fd=876, family=2, type=1, proto=0, laddr=('127.0.0.1', 61973), raddr=('127.0.0.1', 61972)>\nException ignored in: <socket.socket fd=852, family=2, type=1, proto=0, laddr=('127.0.0.1', 61972), raddr=('127.0.0.1', 61973)>\nResourceWarning: unclosed <socket.socket fd=852, family=2, type=1, proto=0, laddr=('127.0.0.1', 61972), raddr=('127.0.0.1', 61973)>\nException ignored in: <socket.socket fd=336, family=2, type=1, proto=0, laddr=('127.0.0.1', 61977), raddr=('127.0.0.1', 61976)>\nResourceWarning: unclosed <socket.socket fd=336, family=2, type=1, proto=0, laddr=('127.0.0.1', 61977), raddr=('127.0.0.1', 61976)>\nException ignored in: <socket.socket fd=864, family=2, type=1, proto=0, laddr=('127.0.0.1', 61976), raddr=('127.0.0.1', 61977)>\nResourceWarning: unclosed <socket.socket fd=864, family=2, type=1, proto=0, laddr=('127.0.0.1', 61976), raddr=('127.0.0.1', 61977)>\nException ignored in: <socket.socket fd=976, family=2, type=1, proto=0, laddr=('127.0.0.1', 61981), raddr=('127.0.0.1', 61980)>\nResourceWarning: unclosed <socket.socket fd=976, family=2, type=1, proto=0, laddr=('127.0.0.1', 61981), raddr=('127.0.0.1', 61980)>\nException ignored in: <socket.socket fd=1012, family=2, type=1, proto=0, laddr=('127.0.0.1', 61980), raddr=('127.0.0.1', 61981)>\nResourceWarning: unclosed <socket.socket fd=1012, family=2, type=1, proto=0, laddr=('127.0.0.1', 61980), raddr=('127.0.0.1', 61981)>\nException ignored in: <socket.socket fd=1020, family=2, type=1, proto=0, laddr=('127.0.0.1', 61985), raddr=('127.0.0.1', 61984)>\nResourceWarning: unclosed <socket.socket fd=1020, family=2, type=1, proto=0, laddr=('127.0.0.1', 61985), raddr=('127.0.0.1', 61984)>\nException ignored in: <socket.socket fd=1028, family=2, type=1, proto=0, laddr=('127.0.0.1', 61984), raddr=('127.0.0.1', 61985)>\nResourceWarning: unclosed <socket.socket fd=1028, family=2, type=1, proto=0, laddr=('127.0.0.1', 61984), raddr=('127.0.0.1', 61985)>\nException ignored in: <socket.socket fd=2652, family=2, type=1, proto=0, laddr=('127.0.0.1', 63433), raddr=('127.0.0.1', 63432)>\nResourceWarning: unclosed <socket.socket fd=2652, family=2, type=1, proto=0, laddr=('127.0.0.1', 63433), raddr=('127.0.0.1', 63432)>\nException ignored in: <socket.socket fd=2656, family=2, type=1, proto=0, laddr=('127.0.0.1', 63432), raddr=('127.0.0.1', 63433)>\nResourceWarning: unclosed <socket.socket fd=2656, family=2, type=1, proto=0, laddr=('127.0.0.1', 63432), raddr=('127.0.0.1', 63433)>\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/tornado/test/iostream_test.py b/tornado/test/iostream_test.py index 02318db3..02fcd3e1 100644 --- a/tornado/test/iostream_test.py +++ b/tornado/test/iostream_test.py @@ -1197,7 +1197,12 @@ class TestIOStreamCheckHostname(AsyncTestCase): @gen_test async def test_no_match(self): stream = SSLIOStream(socket.socket(), ssl_options=self.client_ssl_ctx) - with ExpectLog(gen_log, ".alert bad certificate", level=logging.WARNING): + with ExpectLog( + gen_log, + ".alert bad certificate", + level=logging.WARNING, + required=platform.system() != "Windows", + ): with self.assertRaises(ssl.SSLCertVerificationError): with ExpectLog( gen_log, @@ -1210,7 +1215,9 @@ class TestIOStreamCheckHostname(AsyncTestCase): ) # The server logs a warning while cleaning up the failed connection. # Unfortunately there's no good hook to wait for this logging. - await asyncio.sleep(1 if platform.system() == "Windows" else 0.1) + # It doesn't seem to happen on windows; I'm not sure why. + if platform.system() != "Windows": + await asyncio.sleep(0.1) @gen_test async def test_check_disabled(self):	3	[ "tornado/test/iostream_test.py" ]	https://github.com/tornadoweb/tornado/tree/d1b0280fb92d0d8590cf403ca46af3550507d4d2	2023-11-14T03:15:55Z
Python	24	canonical	cloud-init	wsl-datasource	Lint Tests	check_format.yml	.github/workflows/check_format.yml	CarlosNihelton	f18f82de3e0270f6dfddf22f1f487104b2428e35	a56c2fa8719ba2bffef04b4355cd5fd459eb946e	name: Lint Tests on: pull_request: push: branches: - main concurrency: group: 'ci-${{ github.workflow }}-${{ github.ref }}' cancel-in-progress: true defaults: run: shell: sh -ex {0} jobs: check_format: strategy: fail-fast: false matrix: env: [ruff, mypy, pylint, black, isort] lint-with: - {tip-versions: false, os: ubuntu-20.04} - {tip-versions: true, os: ubuntu-latest} name: Check ${{ matrix.lint-with.tip-versions && 'tip-' \|\| '' }}${{ matrix.env }} runs-on: ${{ matrix.lint-with.os }} services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: "Checkout #1" uses: actions/[email protected] - name: "Checkout #2 (for tools/read-version)" run: \| git fetch --unshallow git remote add upstream https://git.launchpad.net/cloud-init - name: Dependencies run: \| sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox - name: Print version run: python3 --version - name: Test if: ${{ !matrix.lint-with.tip-versions }} env: # matrix env: not to be confused w/environment variables or testenv TOXENV: ${{ matrix.env }} run: tox - name: Test (tip versions) if: matrix.lint-with.tip-versions continue-on-error: true env: TOXENV: tip-${{ matrix.env }} run: tox schema-format: strategy: fail-fast: false name: Check json format runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: "Checkout #1" uses: actions/[email protected] - name: "Test format" run: \| tools/check_json_format.sh cloudinit/config/schemas/schema-cloud-config-v1.json tools/check_json_format.sh cloudinit/config/schemas/schema-network-config-v1.json tools/check_json_format.sh cloudinit/config/schemas/versions.schema.cloud-config.json doc: strategy: fail-fast: false name: Check docs runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: "Checkout #1" uses: actions/[email protected] - name: "Checkout #2 (for tools/read-version)" run: \| git fetch --unshallow git remote add upstream https://git.launchpad.net/cloud-init - name: "Install Python 3.10" uses: actions/setup-python@v4 with: python-version: '3.10.8' - name: "Install dependencies" run: \| sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox - name: "Spellcheck" run: \| tox env: TOXENV: doc-spelling - name: "Build docs" env: TOXENV: doc run: \| tox shell-lint: name: Shell Lint runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: Checkout uses: actions/[email protected] - name: Install ShellCheck run: \| sudo apt-get update sudo apt install shellcheck - name: Run ShellCheck run: \| shellcheck ./tools/ds-identify check-cla-signers: runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/[email protected] - name: Check CLA signers file run: tools/check-cla-signers env: PIP_INDEX_URL: http://localhost:8629/2024-01-18 UV_INDEX_URL: http://localhost:8629/2024-01-18	[ { "step_name": "Check ruff/6_Test.txt", "log": "##[group]Run tox\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/sh -ex {0}\nenv:\n TOXENV: ruff\n##[endgroup]\n+ tox\nGLOB sdist-make: /home/runner/work/cloud-init/cloud-init/setup.py\nruff create: /home/runner/work/cloud-init/cloud-init/.tox/ruff\nruff installdeps: ruff===0.0.285\nruff inst: /home/runner/work/cloud-init/cloud-init/.tox/.tmp/package/1/cloud-init-23.4+92.g10cdeb55.zip\nruff installed: attrs==23.2.0,certifi==2023.11.17,charset-normalizer==3.3.2,cloud-init==23.4+92.g10cdeb55,configobj==5.0.8,idna==3.6,importlib-resources==6.1.1,Jinja2==3.1.3,jsonpatch==1.33,jsonpointer==2.4,jsonschema==4.21.0,jsonschema-specifications==2023.12.1,MarkupSafe==2.1.3,netifaces==0.11.0,oauthlib==3.2.2,pkgutil-resolve-name==1.3.10,pyserial==3.5,PyYAML==6.0.1,referencing==0.32.1,requests==2.31.0,rpds-py==0.17.1,ruff==0.0.285,six==1.16.0,urllib3==2.1.0,zipp==3.17.0\nruff run-test-pre: PYTHONHASHSEED='1811068208'\nruff run-test: commands[0] \| /home/runner/work/cloud-init/cloud-init/.tox/ruff/bin/python -m ruff cloudinit/ tests/ tools/ packages/bddeb packages/brpm conftest.py setup.py\ntests/unittests/sources/test_wsl.py:10:20: F401 [] `typing.Optional` imported but unused\nFound 1 error.\n[] 1 potentially fixable with the --fix option.\nERROR: InvocationError for command /home/runner/work/cloud-init/cloud-init/.tox/ruff/bin/python -m ruff cloudinit/ tests/ tools/ packages/bddeb packages/brpm conftest.py setup.py (exited with code 1)\n___________________________________ summary ____________________________________\nERROR: ruff: commands failed\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/tests/unittests/sources/test_wsl.py b/tests/unittests/sources/test_wsl.py index 9653cfa42..03b3a1f7d 100644 --- a/tests/unittests/sources/test_wsl.py +++ b/tests/unittests/sources/test_wsl.py @@ -7,7 +7,7 @@ import os from copy import deepcopy from email.mime.multipart import MIMEMultipart -from typing import Optional, cast +from typing import cast from cloudinit import helpers, util from cloudinit.sources import DataSourceWSL as wsl	0	[ "tests/unittests/sources/test_wsl.py" ]	https://github.com/canonical/cloud-init/tree/f18f82de3e0270f6dfddf22f1f487104b2428e35	2024-01-18T13:21:59Z
Python	25	canonical	cloud-init	main	Lint Tests	check_format.yml	.github/workflows/check_format.yml	ani-sinha	55d2e8d4abb024997be878797d5625effad65d43	9b3b3632cb86b74b79ed2b1fb3672a9f50604992	name: Lint Tests on: pull_request: push: branches: - main concurrency: group: 'ci-${{ github.workflow }}-${{ github.ref }}' cancel-in-progress: true defaults: run: shell: sh -ex {0} jobs: check_format: strategy: fail-fast: false matrix: env: [ruff, mypy, pylint, black, isort] lint-with: - {tip-versions: false, os: ubuntu-20.04} - {tip-versions: true, os: ubuntu-latest} name: Check ${{ matrix.lint-with.tip-versions && 'tip-' \|\| '' }}${{ matrix.env }} runs-on: ${{ matrix.lint-with.os }} services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: "Checkout #1" uses: actions/[email protected] - name: "Checkout #2 (for tools/read-version)" run: \| git fetch --unshallow git remote add upstream https://git.launchpad.net/cloud-init - name: Dependencies run: \| sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox - name: Print version run: python3 --version - name: Test if: ${{ !matrix.lint-with.tip-versions }} env: # matrix env: not to be confused w/environment variables or testenv TOXENV: ${{ matrix.env }} run: tox - name: Test (tip versions) if: matrix.lint-with.tip-versions continue-on-error: true env: TOXENV: tip-${{ matrix.env }} run: tox schema-format: strategy: fail-fast: false name: Check json format runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: "Checkout #1" uses: actions/[email protected] - name: "Test format" run: \| tools/check_json_format.sh cloudinit/config/schemas/schema-cloud-config-v1.json tools/check_json_format.sh cloudinit/config/schemas/schema-network-config-v1.json tools/check_json_format.sh cloudinit/config/schemas/versions.schema.cloud-config.json doc: strategy: fail-fast: false name: Check docs runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: "Checkout #1" uses: actions/[email protected] - name: "Checkout #2 (for tools/read-version)" run: \| git fetch --unshallow git remote add upstream https://git.launchpad.net/cloud-init - name: "Install Python 3.10" uses: actions/setup-python@v4 with: python-version: '3.10.8' - name: "Install dependencies" run: \| sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox lintian - name: "Spellcheck" run: \| make check_spelling - name: "Build docs" env: TOXENV: doc run: \| tox shell-lint: name: Shell Lint runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: Checkout uses: actions/[email protected] - name: Install ShellCheck run: \| sudo apt-get update sudo apt install shellcheck - name: Run ShellCheck run: \| shellcheck ./tools/ds-identify check-cla-signers: runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/[email protected] - name: Check CLA signers file run: tools/check-cla-signers env: PIP_INDEX_URL: http://localhost:8629/2023-12-07 UV_INDEX_URL: http://localhost:8629/2023-12-07	[ { "step_name": "Check pylint/6_Test.txt", "log": "##[group]Run tox\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/sh -ex {0}\nenv:\n TOXENV: pylint\n##[endgroup]\n+ tox\nGLOB sdist-make: /home/runner/work/cloud-init/cloud-init/setup.py\npylint create: /home/runner/work/cloud-init/cloud-init/.tox/pylint\npylint installdeps: pylint===2.13.9, -r/home/runner/work/cloud-init/cloud-init/test-requirements.txt, -r/home/runner/work/cloud-init/cloud-init/integration-requirements.txt\npylint inst: /home/runner/work/cloud-init/cloud-init/.tox/.tmp/package/1/cloud-init-23.4+28.ge396f22f.zip\npylint installed: adal==1.2.7,appdirs==1.4.4,applicationinsights==0.11.10,argcomplete==3.1.6,astroid==2.11.7,attrs==23.1.0,autopage==0.5.2,azure-cli-core==2.55.0,azure-cli-telemetry==1.1.0,azure-common==1.1.28,azure-core==1.29.5,azure-identity==1.15.0,azure-mgmt-compute==30.3.0,azure-mgmt-core==1.4.0,azure-mgmt-network==25.1.0,azure-mgmt-resource==23.0.1,bcrypt==4.1.1,boto3==1.33.9,botocore==1.33.9,cachetools==5.3.2,certifi==2023.11.17,cffi==1.16.0,charset-normalizer==3.3.2,circuitbreaker==1.4.0,cliff==4.4.0,cloud-init==23.4+28.ge396f22f,cmd2==2.4.3,configobj==5.0.8,coverage==7.3.2,cryptography==41.0.7,debtcollector==2.5.0,decorator==5.1.1,dill==0.3.7,distro==1.8.0,dogpile.cache==1.2.2,exceptiongroup==1.2.0,google-api-core==2.14.0,google-api-python-client==2.109.0,google-auth==2.25.1,google-auth-httplib2==0.1.1,googleapis-common-protos==1.61.0,httplib2==0.22.0,humanfriendly==10.0,ibm-cloud-sdk-core==3.18.0,ibm-platform-services==0.47.1,ibm-vpc==0.20.0,idna==3.6,importlib-metadata==7.0.0,importlib-resources==6.1.1,iniconfig==2.0.0,iso8601==2.1.0,isodate==0.6.1,isort==5.12.0,Jinja2==3.1.2,jmespath==1.0.1,jsonpatch==1.33,jsonpointer==2.4,jsonschema==4.20.0,jsonschema-specifications==2023.11.2,keystoneauth1==5.4.0,knack==0.11.0,lazy-object-proxy==1.9.0,MarkupSafe==2.1.3,mccabe==0.7.0,msal==1.26.0,msal-extensions==1.0.0,msgpack==1.0.7,msrest==0.7.1,msrestazure==0.6.4,netaddr==0.9.0,netifaces==0.11.0,oauthlib==3.2.2,oci==2.117.0,openstacksdk==1.4.0,os-service-types==1.7.0,osc-lib==2.9.0,oslo.config==9.2.0,oslo.i18n==6.2.0,oslo.serialization==5.2.0,oslo.utils==6.3.0,packaging==23.2,paramiko==3.3.1,passlib==1.7.4,pbr==6.0.0,pkginfo==1.9.6,pkgutil-resolve-name==1.3.10,platformdirs==4.1.0,pluggy==1.3.0,portalocker==2.8.2,prettytable==3.9.0,protobuf==3.19.6,psutil==5.9.6,pyasn1==0.5.1,pyasn1-modules==0.3.0,pycloudlib==1!5.11.0,pycparser==2.21,pygments==2.17.2,PyJWT==2.8.0,pylint==2.13.9,PyNaCl==1.5.0,pyOpenSSL==23.3.0,pyparsing==2.4.7,pyperclip==1.8.2,pyserial==3.5,pytest==7.4.3,pytest-cov==4.1.0,pytest-mock==3.12.0,python-cinderclient==9.4.0,python-dateutil==2.8.2,python-keystoneclient==5.2.0,python-novaclient==18.4.0,python-openstackclient==6.4.0,pytz==2023.3.post1,PyYAML==6.0.1,qemu.qmp==0.0.3,referencing==0.31.1,requests==2.31.0,requests-oauthlib==1.3.1,requestsexceptions==1.4.0,responses==0.24.1,rfc3986==2.0.0,rpds-py==0.13.2,rsa==4.9,s3transfer==0.8.2,simplejson==3.19.2,six==1.16.0,stevedore==5.1.0,tabulate==0.9.0,toml==0.10.0,tomli==2.0.1,typing-extensions==4.8.0,tzdata==2023.3,uritemplate==4.1.1,urllib3==2.1.0,wcwidth==0.2.12,wrapt==1.16.0,zipp==3.17.0\npylint run-test-pre: PYTHONHASHSEED='1481622646'\npylint run-test: commands[0] \| /home/runner/work/cloud-init/cloud-init/.tox/pylint/bin/python -m pylint cloudinit/ tests/ tools/ conftest.py setup.py\n************* Module tests.unittests.test_net_activators\ntests/unittests/test_net_activators.py:329: [E0213(no-self-argument), TestNetworkManagerActivatorBringUp.fake_isfile_no_nmconn] Method should have \"self\" as first argument\ntests/unittests/test_net_activators.py:330: [E1101(no-member), TestNetworkManagerActivatorBringUp.fake_isfile_no_nmconn] Instance of 'TestNetworkManagerActivatorBringUp' has no 'endswith' member\n\n------------------------------------\nYour code has been rated at 10.00/10\n\nERROR: InvocationError for command /home/runner/work/cloud-init/cloud-init/.tox/pylint/bin/python -m pylint cloudinit/ tests/ tools/ conftest.py setup.py (exited with code 2)\n___________________________________ summary ____________________________________\nERROR: pylint: commands failed\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/tests/unittests/test_net_activators.py b/tests/unittests/test_net_activators.py index 0b3c11c1a..c14425fd6 100644 --- a/tests/unittests/test_net_activators.py +++ b/tests/unittests/test_net_activators.py @@ -326,15 +326,12 @@ class TestActivatorsBringDown: class TestNetworkManagerActivatorBringUp: - def fake_isfile_no_nmconn(filename): - return False if filename.endswith(".nmconnection") else True - @patch("cloudinit.subp.subp", return_value=("", "")) @patch( "cloudinit.net.network_manager.available_nm_ifcfg_rh", return_value=True, ) - @patch.object(os.path, "isfile", side_effect=fake_isfile_no_nmconn) + @patch.object(os.path, "isfile") @patch("os.path.exists", return_value=True) def test_bring_up_interface_no_nm_conn( self, m_exists, m_isfile, m_plugin, m_subp @@ -344,6 +341,12 @@ class TestNetworkManagerActivatorBringUp: present and ifcfg interface config files are also present. In this case, we should use ifcfg files. """ + + def fake_isfile_no_nmconn(filename): + return False if filename.endswith(".nmconnection") else True + + m_isfile.side_effect = fake_isfile_no_nmconn + expected_call_list = [ ( ( @@ -377,6 +380,7 @@ class TestNetworkManagerActivatorBringUp: {}, ), ] + index = 0 assert NetworkManagerActivator.bring_up_interface("eth0") for call in m_subp.call_args_list: @@ -388,7 +392,7 @@ class TestNetworkManagerActivatorBringUp: "cloudinit.net.network_manager.available_nm_ifcfg_rh", return_value=False, ) - @patch.object(os.path, "isfile", side_effect=fake_isfile_no_nmconn) + @patch.object(os.path, "isfile") @patch("os.path.exists", return_value=True) def test_bring_up_interface_no_plugin_no_nm_conn( self, m_exists, m_isfile, m_plugin, m_subp @@ -398,6 +402,11 @@ class TestNetworkManagerActivatorBringUp: not present. In this case, we can't use ifcfg file and the interface bring up should fail. """ + + def fake_isfile_no_nmconn(filename): + return False if filename.endswith(".nmconnection") else True + + m_isfile.side_effect = fake_isfile_no_nmconn assert not NetworkManagerActivator.bring_up_interface("eth0") @patch("cloudinit.subp.subp", return_value=("", ""))	1	[ "tests/unittests/test_net_activators.py" ]	https://github.com/canonical/cloud-init/tree/55d2e8d4abb024997be878797d5625effad65d43	2023-12-07T12:43:24Z
Python	26	canonical	cloud-init	holman/dhcpcd	Lint Tests	check_format.yml	.github/workflows/check_format.yml	holmanb	385c14d0ae500918cff5565ea836884bfaa2bfa5	0193e09ca15ed70a351203ab6f21dc52a60d6253	name: Lint Tests on: pull_request: push: branches: - main concurrency: group: 'ci-${{ github.workflow }}-${{ github.ref }}' cancel-in-progress: true defaults: run: shell: sh -ex {0} jobs: check_format: strategy: fail-fast: false matrix: env: [ruff, mypy, pylint, black, isort] lint-with: - {tip-versions: false, os: ubuntu-20.04} - {tip-versions: true, os: ubuntu-latest} name: Check ${{ matrix.lint-with.tip-versions && 'tip-' \|\| '' }}${{ matrix.env }} runs-on: ${{ matrix.lint-with.os }} services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: "Checkout #1" uses: actions/[email protected] - name: "Checkout #2 (for tools/read-version)" run: \| git fetch --unshallow git remote add upstream https://git.launchpad.net/cloud-init - name: Dependencies run: \| sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox - name: Print version run: python3 --version - name: Test if: ${{ !matrix.lint-with.tip-versions }} env: # matrix env: not to be confused w/environment variables or testenv TOXENV: ${{ matrix.env }} run: tox - name: Test (tip versions) if: matrix.lint-with.tip-versions continue-on-error: true env: TOXENV: tip-${{ matrix.env }} run: tox schema-format: strategy: fail-fast: false name: Check json format runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: "Checkout #1" uses: actions/[email protected] - name: "Test format" run: \| tools/check_json_format.sh cloudinit/config/schemas/schema-cloud-config-v1.json tools/check_json_format.sh cloudinit/config/schemas/schema-network-config-v1.json tools/check_json_format.sh cloudinit/config/schemas/versions.schema.cloud-config.json doc: strategy: fail-fast: false name: Check docs runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: "Checkout #1" uses: actions/[email protected] - name: "Checkout #2 (for tools/read-version)" run: \| git fetch --unshallow git remote add upstream https://git.launchpad.net/cloud-init - name: "Install Python 3.10" uses: actions/setup-python@v4 with: python-version: '3.10.8' - name: "Install dependencies" run: \| sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox - name: "Spellcheck" run: \| tox env: TOXENV: doc-spelling - name: "Build docs" env: TOXENV: doc run: \| tox shell-lint: name: Shell Lint runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: Checkout uses: actions/[email protected] - name: Install ShellCheck run: \| sudo apt-get update sudo apt install shellcheck - name: Run ShellCheck run: \| shellcheck ./tools/ds-identify check-cla-signers: runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/[email protected] - name: Check CLA signers file run: tools/check-cla-signers env: PIP_INDEX_URL: http://localhost:8629/2024-01-06 UV_INDEX_URL: http://localhost:8629/2024-01-06	[ { "step_name": "Check pylint/6_Test.txt", "log": "##[group]Run tox\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/sh -ex {0}\nenv:\n TOXENV: pylint\n##[endgroup]\n+ tox\nGLOB sdist-make: /home/runner/work/cloud-init/cloud-init/setup.py\npylint create: /home/runner/work/cloud-init/cloud-init/.tox/pylint\npylint installdeps: pylint===2.13.9, -r/home/runner/work/cloud-init/cloud-init/test-requirements.txt, -r/home/runner/work/cloud-init/cloud-init/integration-requirements.txt\npylint inst: /home/runner/work/cloud-init/cloud-init/.tox/.tmp/package/1/cloud-init-23.4+77.g80f699fe.zip\npylint installed: adal==1.2.7,anyio==4.2.0,appdirs==1.4.4,applicationinsights==0.11.10,argcomplete==3.1.6,astroid==2.11.7,attrs==23.2.0,autopage==0.5.2,azure-cli-core==2.55.0,azure-cli-telemetry==1.1.0,azure-common==1.1.28,azure-core==1.29.6,azure-identity==1.15.0,azure-mgmt-compute==30.4.0,azure-mgmt-core==1.4.0,azure-mgmt-network==25.2.0,azure-mgmt-resource==23.0.1,bcrypt==4.1.2,boto3==1.34.14,botocore==1.34.14,cachetools==5.3.2,certifi==2023.11.17,cffi==1.16.0,charset-normalizer==3.3.2,circuitbreaker==1.4.0,cliff==4.4.0,cloud-init==23.4+77.g80f699fe,cmd2==2.4.3,configobj==5.0.8,coverage==7.4.0,cryptography==41.0.7,debtcollector==2.5.0,decorator==5.1.1,dill==0.3.7,distro==1.9.0,dogpile.cache==1.3.0,exceptiongroup==1.2.0,google-api-core==2.15.0,google-api-python-client==2.112.0,google-auth==2.26.1,google-auth-httplib2==0.2.0,googleapis-common-protos==1.62.0,httplib2==0.22.0,humanfriendly==10.0,ibm-cloud-sdk-core==3.18.2,ibm-platform-services==0.48.1,ibm-vpc==0.20.0,idna==3.6,importlib-metadata==7.0.1,importlib-resources==6.1.1,iniconfig==2.0.0,iso8601==2.1.0,isodate==0.6.1,isort==5.13.2,Jinja2==3.1.2,jmespath==1.0.1,jsonpatch==1.33,jsonpointer==2.4,jsonschema==4.20.0,jsonschema-specifications==2023.12.1,keystoneauth1==5.4.0,knack==0.11.0,lazy-object-proxy==1.10.0,MarkupSafe==2.1.3,mccabe==0.7.0,msal==1.24.0b2,msal-extensions==1.0.0,msgpack==1.0.7,msrest==0.7.1,msrestazure==0.6.4,netaddr==0.10.1,netifaces==0.11.0,oauthlib==3.2.2,oci==2.118.0,openstacksdk==1.4.0,os-service-types==1.7.0,osc-lib==2.9.0,oslo.config==9.2.0,oslo.i18n==6.2.0,oslo.serialization==5.2.0,oslo.utils==6.3.0,packaging==23.2,paramiko==3.4.0,passlib==1.7.4,pbr==6.0.0,pkginfo==1.9.6,pkgutil-resolve-name==1.3.10,platformdirs==4.1.0,pluggy==1.3.0,portalocker==2.8.2,prettytable==3.9.0,protobuf==3.19.6,psutil==5.9.7,pyasn1==0.5.1,pyasn1-modules==0.3.0,pycloudlib==1!5.12.1,pycparser==2.21,pygments==2.17.2,PyJWT==2.8.0,pylint==2.13.9,PyNaCl==1.5.0,pyOpenSSL==23.3.0,pyparsing==2.4.7,pyperclip==1.8.2,pyserial==3.5,pytest==7.4.4,pytest-cov==4.1.0,pytest-mock==3.12.0,python-cinderclient==9.4.0,python-dateutil==2.8.2,python-keystoneclient==5.2.0,python-novaclient==18.4.0,python-openstackclient==6.4.0,pytz==2023.3.post1,PyYAML==6.0.1,qemu.qmp==0.0.3,referencing==0.32.1,requests==2.31.0,requests-oauthlib==1.3.1,requestsexceptions==1.4.0,responses==0.24.1,rfc3986==2.0.0,rpds-py==0.16.2,rsa==4.9,s3transfer==0.10.0,simplejson==3.19.2,six==1.16.0,sniffio==1.3.0,stevedore==5.1.0,tabulate==0.9.0,toml==0.10.0,tomli==2.0.1,typing-extensions==4.9.0,tzdata==2023.4,uritemplate==4.1.1,urllib3==2.1.0,wcwidth==0.2.12,wrapt==1.16.0,zipp==3.17.0\npylint run-test-pre: PYTHONHASHSEED='2276146897'\npylint run-test: commands[0] \| /home/runner/work/cloud-init/cloud-init/.tox/pylint/bin/python -m pylint cloudinit/ tests/ tools/ conftest.py setup.py\n************* Module cloudinit.net.dhcp\ncloudinit/net/dhcp.py:575: [W0612(unused-variable), Dhcpcd.dhcp_discovery] Unused variable 'out'\ncloudinit/net/dhcp.py:575: [W0612(unused-variable), Dhcpcd.dhcp_discovery] Unused variable 'err'\n\n------------------------------------\nYour code has been rated at 10.00/10\n\nERROR: InvocationError for command /home/runner/work/cloud-init/cloud-init/.tox/pylint/bin/python -m pylint cloudinit/ tests/ tools/ conftest.py setup.py (exited with code 4)\n___________________________________ summary ____________________________________\nERROR: pylint: commands failed\n##[error]Process completed with exit code 1.\n" }, { "step_name": "Check black/6_Test.txt", "log": "##[group]Run tox\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/sh -ex {0}\nenv:\n TOXENV: black\n##[endgroup]\n+ tox\nGLOB sdist-make: /home/runner/work/cloud-init/cloud-init/setup.py\nblack create: /home/runner/work/cloud-init/cloud-init/.tox/black\nblack installdeps: black===22.3.0\nblack inst: /home/runner/work/cloud-init/cloud-init/.tox/.tmp/package/1/cloud-init-23.4+77.g80f699fe.zip\nblack installed: attrs==23.2.0,black==22.3.0,certifi==2023.11.17,charset-normalizer==3.3.2,click==8.1.7,cloud-init==23.4+77.g80f699fe,configobj==5.0.8,idna==3.6,importlib-resources==6.1.1,Jinja2==3.1.2,jsonpatch==1.33,jsonpointer==2.4,jsonschema==4.20.0,jsonschema-specifications==2023.12.1,MarkupSafe==2.1.3,mypy-extensions==1.0.0,netifaces==0.11.0,oauthlib==3.2.2,pathspec==0.12.1,pkgutil-resolve-name==1.3.10,platformdirs==4.1.0,pyserial==3.5,PyYAML==6.0.1,referencing==0.32.1,requests==2.31.0,rpds-py==0.16.2,six==1.16.0,tomli==2.0.1,typing-extensions==4.9.0,urllib3==2.1.0,zipp==3.17.0\nblack run-test-pre: PYTHONHASHSEED='3554362748'\nblack run-test: commands[0] \| /home/runner/work/cloud-init/cloud-init/.tox/black/bin/python -m black . --check\nwould reformat tests/unittests/net/test_dhcp.py\n\nOh no! 💥 💔 💥\n1 file would be reformatted, 549 files would be left unchanged.\nERROR: InvocationError for command /home/runner/work/cloud-init/cloud-init/.tox/black/bin/python -m black . --check (exited with code 1)\n___________________________________ summary ____________________________________\nERROR: black: commands failed\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/cloudinit/net/dhcp.py b/cloudinit/net/dhcp.py index 1b8caee4f..6a4e5a3fa 100644 --- a/cloudinit/net/dhcp.py +++ b/cloudinit/net/dhcp.py @@ -175,6 +175,11 @@ class DhcpClient(abc.ABC): client_name = "" max_wait = 5 + def __init__(self): + self.dhcp_client_path = subp.which(self.client_name) + if not self.dhcp_client_path: + raise NoDHCPLeaseMissingDhclientError() + @classmethod def kill_dhcp_client(cls): subp.subp(["pkill", cls.client_name], rcs=[0, 1]) @@ -200,14 +205,6 @@ class DhcpClient(abc.ABC): class IscDhclient(DhcpClient): client_name = "dhclient" - def __init__(self): - self.dhclient_path = subp.which("dhclient") - if not self.dhclient_path: - LOG.debug( - "Skip dhclient configuration: No dhclient command found." - ) - raise NoDHCPLeaseMissingDhclientError() - @staticmethod def parse_dhcp_lease_file(lease_file: str) -> List[Dict[str, Any]]: """Parse the given dhcp lease file returning all leases as dicts. @@ -298,7 +295,7 @@ class IscDhclient(DhcpClient): try: out, err = subp.subp( distro.build_dhclient_cmd( - self.dhclient_path, + self.dhcp_client_path, lease_file, pid_file, interface, @@ -536,14 +533,6 @@ class IscDhclient(DhcpClient): class Dhcpcd: client_name = "dhcpcd" - def __init__(self): - self.dhclient_path = subp.which("dhcpcd") - if not self.dhclient_path: - LOG.debug( - "Skip dhclient configuration: No dhclient command found." - ) - raise NoDHCPLeaseMissingDhclientError() - def dhcp_discovery( self, interface, @@ -572,9 +561,9 @@ class Dhcpcd: # /lib/dhcpcd/dhcpcd-hooks/ and pass each of those with the --nohook # argument to dhcpcd try: - out, err = subp.subp( + subp.subp( [ - "dhcpcd", + self.client_name, "--oneshot", # get lease then exit "--nobackground", # don't fork "--ipv4only", # only attempt configuring ipv4 @@ -584,6 +573,7 @@ class Dhcpcd: interface, ] ) + return self.parse_dhcp_lease_file(interface) except subp.ProcessExecutionError as error: LOG.debug( "dhclient exited with code: %s stderr: %r stdout: %r", @@ -592,7 +582,6 @@ class Dhcpcd: error.stdout, ) raise NoDHCPLeaseError from error - return self.parse_dhcp_lease_file(interface) @staticmethod def parse_dhcpcd_lease(lease_dump: str, interface: str) -> List[dict]: @@ -656,7 +645,7 @@ class Dhcpcd: except subp.ProcessExecutionError as error: LOG.debug( - "dhclient exited with code: %s stderr: %r stdout: %r", + "dhcpcd exited with code: %s stderr: %r stdout: %r", error.exit_code, error.stderr, error.stdout, @@ -667,12 +656,6 @@ class Dhcpcd: class Udhcpc(DhcpClient): client_name = "udhcpc" - def __init__(self): - self.udhcpc_path = subp.which("udhcpc") - if not self.udhcpc_path: - LOG.debug("Skip udhcpc configuration: No udhcpc command found.") - raise NoDHCPLeaseMissingUdhcpcError() - def dhcp_discovery( self, interface, @@ -702,7 +685,7 @@ class Udhcpc(DhcpClient): util.write_file(udhcpc_script, UDHCPC_SCRIPT, 0o755) cmd = [ - self.udhcpc_path, + self.dhcp_client_path, "-O", "staticroutes", "-i", diff --git a/tests/unittests/net/test_dhcp.py b/tests/unittests/net/test_dhcp.py index 2841a7244..fa8308068 100644 --- a/tests/unittests/net/test_dhcp.py +++ b/tests/unittests/net/test_dhcp.py @@ -8,6 +8,7 @@ import pytest import responses from cloudinit.net.dhcp import ( + Dhcpcd, InvalidDHCPLeaseFileError, IscDhclient, NoDHCPLeaseError, @@ -438,7 +439,7 @@ class TestDHCPDiscoveryClean(CiTestCase): subp.ProcessExecutionError(exit_code=-5), ] - m_which.side_effect = [False, True] + m_which.side_effect = [False, False, False] with pytest.raises(NoDHCPLeaseError): maybe_perform_dhcp_discovery(MockDistro()) @@ -446,10 +447,6 @@ class TestDHCPDiscoveryClean(CiTestCase): "DHCP client not found: dhclient", self.logs.getvalue(), ) - self.assertIn( - "DHCP client not found: dhcpcd", - self.logs.getvalue(), - ) @mock.patch("cloudinit.net.dhcp.find_fallback_nic", return_value=None) def test_provided_nic_does_not_exist(self, m_fallback_nic): @@ -473,7 +470,7 @@ class TestDHCPDiscoveryClean(CiTestCase): maybe_perform_dhcp_discovery(MockDistro()) self.assertIn( - "Skip dhclient configuration: No dhclient command found.", + "DHCP client not found: dhclient", self.logs.getvalue(), ) @@ -975,24 +972,6 @@ class TestUDHCPCDiscoveryClean(CiTestCase): with_logs = True maxDiff = None - @mock.patch("cloudinit.net.dhcp.subp.which") - @mock.patch("cloudinit.net.dhcp.find_fallback_nic") - def test_absent_udhcpc_command(self, m_fallback, m_which): - """When dhclient doesn't exist in the OS, log the issue and no-op.""" - m_fallback.return_value = "eth9" - m_which.return_value = None # udhcpc isn't found - - distro = MockDistro() - distro.dhcp_client_priority = [Udhcpc] - - with pytest.raises(NoDHCPLeaseMissingDhclientError): - maybe_perform_dhcp_discovery(distro) - - self.assertIn( - "Skip udhcpc configuration: No udhcpc command found.", - self.logs.getvalue(), - ) - @mock.patch("cloudinit.net.dhcp.is_ib_interface", return_value=False) @mock.patch("cloudinit.net.dhcp.subp.which", return_value="/sbin/udhcpc") @mock.patch("cloudinit.net.dhcp.os.remove") @@ -1135,3 +1114,30 @@ class TestUDHCPCDiscoveryClean(CiTestCase): ), ] ) + + +class TestDhcpcd: + def test_parse_lease(self): + lease = dedent( + """ + broadcast_address='192.168.15.255' + dhcp_lease_time='3600' + dhcp_message_type='5' + dhcp_server_identifier='192.168.0.1' + domain_name='us-east-2.compute.internal' + domain_name_servers='192.168.0.2' + host_name='ip-192-168-0-212' + interface_mtu='9001' + ip_address='192.168.0.212' + network_number='192.168.0.0' + routers='192.168.0.1' + subnet_cidr='20' + subnet_mask='255.255.240.0' + """ + ) + parsed_lease = Dhcpcd.parse_dhcpcd_lease(lease, "eth0")[0] + assert "eth0" == parsed_lease["interface"] + assert "192.168.15.255" == parsed_lease["broadcast-address"] + assert "192.168.0.212" == parsed_lease["fixed-address"] + assert "255.255.240.0" == parsed_lease["subnet-mask"] + assert "192.168.0.1" == parsed_lease["routers"]	0	[ "cloudinit/net/dhcp.py", "tests/unittests/net/test_dhcp.py" ]	https://github.com/canonical/cloud-init/tree/385c14d0ae500918cff5565ea836884bfaa2bfa5	2024-01-06T01:46:19Z
Python	27	canonical	cloud-init	holman/dhcpcd	Lint Tests	check_format.yml	.github/workflows/check_format.yml	holmanb	4d5898b8a73c93e1ed4434744c2fa7c3f7fbd501	2bd296ef8983a716a7b8d107571181333f093109	name: Lint Tests on: pull_request: push: branches: - main concurrency: group: 'ci-${{ github.workflow }}-${{ github.ref }}' cancel-in-progress: true defaults: run: shell: sh -ex {0} jobs: check_format: strategy: fail-fast: false matrix: env: [ruff, mypy, pylint, black, isort] lint-with: - {tip-versions: false, os: ubuntu-20.04} - {tip-versions: true, os: ubuntu-latest} name: Check ${{ matrix.lint-with.tip-versions && 'tip-' \|\| '' }}${{ matrix.env }} runs-on: ${{ matrix.lint-with.os }} services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: "Checkout #1" uses: actions/[email protected] - name: "Checkout #2 (for tools/read-version)" run: \| git fetch --unshallow git remote add upstream https://git.launchpad.net/cloud-init - name: Dependencies run: \| sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox - name: Print version run: python3 --version - name: Test if: ${{ !matrix.lint-with.tip-versions }} env: # matrix env: not to be confused w/environment variables or testenv TOXENV: ${{ matrix.env }} run: tox - name: Test (tip versions) if: matrix.lint-with.tip-versions continue-on-error: true env: TOXENV: tip-${{ matrix.env }} run: tox schema-format: strategy: fail-fast: false name: Check json format runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: "Checkout #1" uses: actions/[email protected] - name: "Test format" run: \| tools/check_json_format.sh cloudinit/config/schemas/schema-cloud-config-v1.json tools/check_json_format.sh cloudinit/config/schemas/schema-network-config-v1.json tools/check_json_format.sh cloudinit/config/schemas/versions.schema.cloud-config.json doc: strategy: fail-fast: false name: Check docs runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: "Checkout #1" uses: actions/[email protected] - name: "Checkout #2 (for tools/read-version)" run: \| git fetch --unshallow git remote add upstream https://git.launchpad.net/cloud-init - name: "Install Python 3.10" uses: actions/setup-python@v4 with: python-version: '3.10.8' - name: "Install dependencies" run: \| sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox - name: "Spellcheck" run: \| tox env: TOXENV: doc-spelling - name: "Build docs" env: TOXENV: doc run: \| tox shell-lint: name: Shell Lint runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: Checkout uses: actions/[email protected] - name: Install ShellCheck run: \| sudo apt-get update sudo apt install shellcheck - name: Run ShellCheck run: \| shellcheck ./tools/ds-identify check-cla-signers: runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/[email protected] - name: Check CLA signers file run: tools/check-cla-signers env: PIP_INDEX_URL: http://localhost:8629/2024-01-12 UV_INDEX_URL: http://localhost:8629/2024-01-12	[ { "step_name": "Check pylint/6_Test.txt", "log": "##[group]Run tox\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/sh -ex {0}\nenv:\n TOXENV: pylint\n##[endgroup]\n+ tox\nGLOB sdist-make: /home/runner/work/cloud-init/cloud-init/setup.py\npylint create: /home/runner/work/cloud-init/cloud-init/.tox/pylint\npylint installdeps: pylint===2.13.9, -r/home/runner/work/cloud-init/cloud-init/test-requirements.txt, -r/home/runner/work/cloud-init/cloud-init/integration-requirements.txt\npylint inst: /home/runner/work/cloud-init/cloud-init/.tox/.tmp/package/1/cloud-init-23.4+88.g0e8fe220.zip\npylint installed: adal==1.2.7,anyio==4.2.0,appdirs==1.4.4,applicationinsights==0.11.10,argcomplete==3.1.6,astroid==2.11.7,attrs==23.2.0,autopage==0.5.2,azure-cli-core==2.56.0,azure-cli-telemetry==1.1.0,azure-common==1.1.28,azure-core==1.29.6,azure-identity==1.15.0,azure-mgmt-compute==30.4.0,azure-mgmt-core==1.4.0,azure-mgmt-network==25.2.0,azure-mgmt-resource==23.0.1,bcrypt==4.1.2,boto3==1.34.17,botocore==1.34.17,cachetools==5.3.2,certifi==2023.11.17,cffi==1.16.0,charset-normalizer==3.3.2,circuitbreaker==1.4.0,cliff==4.5.0,cloud-init==23.4+88.g0e8fe220,cmd2==2.4.3,configobj==5.0.8,coverage==7.4.0,cryptography==41.0.7,debtcollector==2.5.0,decorator==5.1.1,dill==0.3.7,distro==1.9.0,dogpile.cache==1.3.0,exceptiongroup==1.2.0,google-api-core==2.15.0,google-api-python-client==2.113.0,google-auth==2.26.2,google-auth-httplib2==0.2.0,googleapis-common-protos==1.62.0,httplib2==0.22.0,humanfriendly==10.0,ibm-cloud-sdk-core==3.18.2,ibm-platform-services==0.49.0,ibm-vpc==0.20.0,idna==3.6,importlib-metadata==7.0.1,importlib-resources==6.1.1,iniconfig==2.0.0,iso8601==2.1.0,isodate==0.6.1,isort==5.13.2,Jinja2==3.1.3,jmespath==1.0.1,jsonpatch==1.33,jsonpointer==2.4,jsonschema==4.20.0,jsonschema-specifications==2023.12.1,keystoneauth1==5.5.0,knack==0.11.0,lazy-object-proxy==1.10.0,MarkupSafe==2.1.3,mccabe==0.7.0,msal==1.24.0b2,msal-extensions==1.0.0,msgpack==1.0.7,msrest==0.7.1,msrestazure==0.6.4,netaddr==0.10.1,netifaces==0.11.0,oauthlib==3.2.2,oci==2.118.2,openstacksdk==1.4.0,os-service-types==1.7.0,osc-lib==3.0.0,oslo.config==9.3.0,oslo.i18n==6.2.0,oslo.serialization==5.3.0,oslo.utils==6.3.0,packaging==23.2,paramiko==3.4.0,passlib==1.7.4,pbr==6.0.0,pkginfo==1.9.6,pkgutil-resolve-name==1.3.10,platformdirs==4.1.0,pluggy==1.3.0,portalocker==2.8.2,prettytable==3.9.0,protobuf==3.19.6,psutil==5.9.7,pyasn1==0.5.1,pyasn1-modules==0.3.0,pycloudlib==1!5.12.1,pycparser==2.21,pygments==2.17.2,PyJWT==2.8.0,pylint==2.13.9,PyNaCl==1.5.0,pyOpenSSL==23.3.0,pyparsing==2.4.7,pyperclip==1.8.2,pyserial==3.5,pytest==7.4.4,pytest-cov==4.1.0,pytest-mock==3.12.0,python-cinderclient==9.4.0,python-dateutil==2.8.2,python-keystoneclient==5.3.0,python-novaclient==18.4.0,python-openstackclient==6.4.0,pytz==2023.3.post1,PyYAML==6.0.1,qemu.qmp==0.0.3,referencing==0.32.1,requests==2.31.0,requests-oauthlib==1.3.1,requestsexceptions==1.4.0,responses==0.24.1,rfc3986==2.0.0,rpds-py==0.17.1,rsa==4.9,s3transfer==0.10.0,simplejson==3.19.2,six==1.16.0,sniffio==1.3.0,stevedore==5.1.0,tabulate==0.9.0,toml==0.10.0,tomli==2.0.1,typing-extensions==4.9.0,tzdata==2023.4,uritemplate==4.1.1,urllib3==2.1.0,wcwidth==0.2.13,wrapt==1.16.0,zipp==3.17.0\npylint run-test-pre: PYTHONHASHSEED='1345909868'\npylint run-test: commands[0] \| /home/runner/work/cloud-init/cloud-init/.tox/pylint/bin/python -m pylint cloudinit/ tests/ tools/ conftest.py setup.py\n************* Module cloudinit.net.dhcp\ncloudinit/net/dhcp.py:538: [W0235(useless-super-delegation), Dhcpcd.__init__] Useless super delegation in method '__init__'\n\n------------------------------------\nYour code has been rated at 10.00/10\n\nERROR: InvocationError for command /home/runner/work/cloud-init/cloud-init/.tox/pylint/bin/python -m pylint cloudinit/ tests/ tools/ conftest.py setup.py (exited with code 4)\n___________________________________ summary ____________________________________\nERROR: pylint: commands failed\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/cloudinit/distros/__init__.py b/cloudinit/distros/__init__.py index 5c891f26e..c02166ad2 100644 --- a/cloudinit/distros/__init__.py +++ b/cloudinit/distros/__init__.py @@ -170,6 +170,7 @@ class Distro(persistence.CloudInitPickleMixin, metaclass=abc.ABCMeta): self._runner = helpers.Runners(paths) self.package_managers: List[PackageManager] = [] self._dhcp_client = None + self._fallback_interface = None def _unpickle(self, ci_pkl_version: int) -> None: """Perform deserialization fixes for Distro.""" @@ -1274,6 +1275,13 @@ class Distro(persistence.CloudInitPickleMixin, metaclass=abc.ABCMeta): "/bin/true", ] + (["-cf", config_file, interface] if config_file else [interface]) + @property + def fallback_interface(self): + """Determine the network interface used during local network config.""" + if self._fallback_interface is None: + self._fallback_interface = net.find_fallback_nic() + return self._fallback_interface + def _apply_hostname_transformations_to_url(url: str, transformations: list): """ diff --git a/cloudinit/net/dhcp.py b/cloudinit/net/dhcp.py index 9c94b3f92..7b2d41df1 100644 --- a/cloudinit/net/dhcp.py +++ b/cloudinit/net/dhcp.py @@ -19,8 +19,6 @@ import configobj from cloudinit import subp, temp_utils, util from cloudinit.net import ( - find_fallback_nic, - get_devicelist, get_ib_interface_hwaddr, get_interface_mac, is_ib_interface, @@ -98,17 +96,8 @@ def maybe_perform_dhcp_discovery(distro, nic=None, dhcp_log_func=None): from the dhclient discovery if run, otherwise an empty list is returned. """ - if nic is None: - nic = find_fallback_nic() - if nic is None: - LOG.debug("Skip dhcp_discovery: Unable to find fallback nic.") - raise NoDHCPLeaseInterfaceError() - elif nic not in get_devicelist(): - LOG.debug( - "Skip dhcp_discovery: nic %s not found in get_devicelist.", nic - ) - raise NoDHCPLeaseInterfaceError() - return distro.dhcp_client.dhcp_discovery(nic, dhcp_log_func, distro) + interface = nic or distro.fallback_interface + return distro.dhcp_client.dhcp_discovery(interface, dhcp_log_func, distro) def networkd_parse_lease(content): @@ -185,7 +174,7 @@ class DhcpClient(abc.ABC): def parse_static_routes(routes: str) -> List[Tuple[str, str]]: return [] - def get_newest_lease(self, distro) -> Dict[str, Any]: + def get_newest_lease(self, interface: str) -> Dict[str, Any]: return {} @@ -218,15 +207,15 @@ class IscDhclient(DhcpClient): dhcp_leases.append(dict(lease_options)) return dhcp_leases - def get_newest_lease(self, distro) -> Dict[str, Any]: + def get_newest_lease(self, interface: str) -> Dict[str, Any]: """Get the most recent lease from the ephemeral phase as a dict. Return a dict of dhcp options. The dict contains key value pairs from the most recent lease. - @param distro: a distro object - not used in this class, but required - for function signature compatibility with other classes - that require a distro object + @param interface: an interface string - not used in this class, but + required for function signature compatibility with other classes + that require a distro object @raises: InvalidDHCPLeaseFileError on empty or unparseable leasefile content. """ @@ -355,7 +344,7 @@ class IscDhclient(DhcpClient): ) if dhcp_log_func is not None: dhcp_log_func(out, err) - lease = self.get_newest_lease(distro) + lease = self.get_newest_lease(interface) if lease: return lease raise InvalidDHCPLeaseFileError() @@ -535,9 +524,6 @@ class IscDhclient(DhcpClient): class Dhcpcd(DhcpClient): client_name = "dhcpcd" - def __init__(self): - super().__init__() - def dhcp_discovery( self, interface: str, @@ -547,12 +533,12 @@ class Dhcpcd(DhcpClient): """Run dhcpcd on the interface without scripts/filesystem artifacts. @param interface: Name of the network interface on which to send a - dhcp request + dhcp request @param dhcp_log_func: A callable accepting the client output and - error streams. + error streams. @param distro: a distro object for network interface manipulation @return: dict of lease options representing the most recent dhcp lease - parsed from the dhclient.lease file + parsed from the dhclient.lease file """ LOG.debug("Performing a dhcp discovery on %s", interface) @@ -580,7 +566,7 @@ class Dhcpcd(DhcpClient): ) if dhcp_log_func is not None: dhcp_log_func(out, err) - lease = self.get_newest_lease(distro) + lease = self.get_newest_lease(interface) if lease: return lease raise NoDHCPLeaseError("No lease found") @@ -644,12 +630,10 @@ class Dhcpcd(DhcpClient): # for compatibility we still expect a list of leases return lease - def get_newest_lease(self, distro) -> Dict[str, Any]: - """Return a lease - - Return a list of dicts of dhcp options. Each dict contains key value - pairs a specific lease in order from oldest to newest. + def get_newest_lease(self, interface: str) -> Dict[str, Any]: + """Return a dict of dhcp options. + @param interface: which interface to dump the lease from @raises: InvalidDHCPLeaseFileError on empty or unparseable leasefile content. """ @@ -659,11 +643,11 @@ class Dhcpcd(DhcpClient): [ "dhcpcd", "--dumplease", - distro.fallback_interface, + interface, ], rcs=[0, 1], ).stdout, - distro.fallback_interface, + interface, ) except subp.ProcessExecutionError as error: @@ -781,17 +765,17 @@ class Udhcpc(DhcpClient): if dhcp_log_func is not None: dhcp_log_func(out, err) - return self.get_newest_lease(distro) + return self.get_newest_lease(interface) - def get_newest_lease(self, distro) -> Dict[str, Any]: + def get_newest_lease(self, interface: str) -> Dict[str, Any]: """Get the most recent lease from the ephemeral phase as a dict. Return a dict of dhcp options. The dict contains key value pairs from the most recent lease. - @param distro: a distro object - not used in this class, but required - for function signature compatibility with other classes - that require a distro object + @param interface: an interface name - not used in this class, but + required for function signature compatibility with other classes + that require a distro object @raises: InvalidDHCPLeaseFileError on empty or unparseable leasefile content. """ diff --git a/cloudinit/sources/__init__.py b/cloudinit/sources/__init__.py index c207b5ed6..f9650268a 100644 --- a/cloudinit/sources/__init__.py +++ b/cloudinit/sources/__init__.py @@ -610,13 +610,11 @@ class DataSource(CloudInitPickleMixin, metaclass=abc.ABCMeta): @property def fallback_interface(self): """Determine the network interface used during local network config.""" - if self._fallback_interface is None: - self._fallback_interface = net.find_fallback_nic() - if self._fallback_interface is None: - LOG.warning( - "Did not find a fallback interface on %s.", self.cloud_name - ) - return self._fallback_interface + if self.distro.fallback_interface is None: + LOG.warning( + "Did not find a fallback interface on %s.", self.cloud_name + ) + return self.distro.fallback_interface @property def platform_type(self): diff --git a/tests/unittests/net/test_dhcp.py b/tests/unittests/net/test_dhcp.py index ffa3eab17..9af5f93aa 100644 --- a/tests/unittests/net/test_dhcp.py +++ b/tests/unittests/net/test_dhcp.py @@ -372,20 +372,7 @@ class TestDHCPDiscoveryClean(CiTestCase): with_logs = True ib_address_prefix = "00:00:00:00:00:00:00:00:00:00:00:00" - @mock.patch("cloudinit.net.dhcp.find_fallback_nic") - def test_no_fallback_nic_found(self, m_fallback_nic): - """Log and do nothing when nic is absent and no fallback is found.""" - m_fallback_nic.return_value = None # No fallback nic found - - with pytest.raises(NoDHCPLeaseInterfaceError): - maybe_perform_dhcp_discovery(MockDistro()) - - self.assertIn( - "Skip dhcp_discovery: Unable to find fallback nic.", - self.logs.getvalue(), - ) - - @mock.patch("cloudinit.net.dhcp.find_fallback_nic", return_value="eth9") + @mock.patch("cloudinit.distros.net.find_fallback_nic", return_value="eth9") @mock.patch("cloudinit.net.dhcp.os.remove") @mock.patch("cloudinit.net.dhcp.subp.subp") @mock.patch("cloudinit.net.dhcp.subp.which") @@ -406,7 +393,7 @@ class TestDHCPDiscoveryClean(CiTestCase): self.logs.getvalue(), ) - @mock.patch("cloudinit.net.dhcp.find_fallback_nic", return_value="eth9") + @mock.patch("cloudinit.distros.net.find_fallback_nic", return_value="eth9") @mock.patch("cloudinit.net.dhcp.os.remove") @mock.patch("cloudinit.net.dhcp.subp.subp") @mock.patch("cloudinit.net.dhcp.subp.which") @@ -435,17 +422,6 @@ class TestDHCPDiscoveryClean(CiTestCase): self.logs.getvalue(), ) - @mock.patch("cloudinit.net.dhcp.find_fallback_nic", return_value=None) - def test_provided_nic_does_not_exist(self, m_fallback_nic): - """When the provided nic doesn't exist, log a message and no-op.""" - with pytest.raises(NoDHCPLeaseInterfaceError): - maybe_perform_dhcp_discovery(MockDistro(), "idontexist") - - self.assertIn( - "Skip dhcp_discovery: nic idontexist not found in get_devicelist.", - self.logs.getvalue(), - ) - @mock.patch("cloudinit.net.dhcp.subp.which") @mock.patch("cloudinit.net.dhcp.find_fallback_nic") def test_absent_dhclient_command(self, m_fallback, m_which): diff --git a/tests/unittests/sources/test_cloudstack.py b/tests/unittests/sources/test_cloudstack.py index 8ee04b3e1..b33c5e492 100644 --- a/tests/unittests/sources/test_cloudstack.py +++ b/tests/unittests/sources/test_cloudstack.py @@ -244,6 +244,13 @@ class TestCloudStackHostname(CiTestCase): ) ) + self.patches.enter_context( + mock.patch( + "cloudinit.distros.net.find_fallback_nic", + return_value="eth0", + ) + ) + self.patches.enter_context( mock.patch( MOD_PATH @@ -304,7 +311,7 @@ class TestCloudStackHostname(CiTestCase): ) ds = DataSourceCloudStack( - {}, MockDistro(), helpers.Paths({"run_dir": self.tmp}) + {}, ubuntu.Distro("", {}, {}), helpers.Paths({"run_dir": self.tmp}) ) ds._fallback_interface = "eth0" with mock.patch(MOD_PATH + ".util.load_file"): diff --git a/tests/unittests/sources/test_ec2.py b/tests/unittests/sources/test_ec2.py index 5f60ad737..32fed89da 100644 --- a/tests/unittests/sources/test_ec2.py +++ b/tests/unittests/sources/test_ec2.py @@ -10,6 +10,7 @@ import requests import responses from cloudinit import helpers +from cloudinit.distros import ubuntu from cloudinit.sources import DataSourceEc2 as ec2 from tests.unittests import helpers as test_helpers @@ -342,9 +343,11 @@ class TestEc2(test_helpers.ResponsesTestCase): p.start() self.addCleanup(p.stop) - def _setup_ds(self, sys_cfg, platform_data, md, md_version=None): + def _setup_ds( + self, sys_cfg, platform_data, md, md_version=None, distro=None + ): self.uris = [] - distro = mock.MagicMock() + distro = distro or mock.MagicMock() distro.get_tmp_exec_path = self.tmp_dir paths = helpers.Paths({"run_dir": self.tmp}) if sys_cfg is None: @@ -846,7 +849,7 @@ class TestEc2(test_helpers.ResponsesTestCase): @mock.patch("cloudinit.net.ephemeral.EphemeralIPv6Network") @mock.patch("cloudinit.net.ephemeral.EphemeralIPv4Network") - @mock.patch("cloudinit.net.find_fallback_nic") + @mock.patch("cloudinit.distros.net.find_fallback_nic") @mock.patch("cloudinit.net.ephemeral.maybe_perform_dhcp_discovery") @mock.patch("cloudinit.sources.DataSourceEc2.util.is_FreeBSD") def test_ec2_local_performs_dhcp_on_non_bsd( @@ -873,6 +876,7 @@ class TestEc2(test_helpers.ResponsesTestCase): platform_data=self.valid_platform_data, sys_cfg={"datasource": {"Ec2": {"strict_id": False}}}, md={"md": DEFAULT_METADATA}, + distro=ubuntu.Distro("", {}, {}), ) ret = ds.get_data() diff --git a/tests/unittests/sources/test_init.py b/tests/unittests/sources/test_init.py index 44d63b816..b3764945d 100644 --- a/tests/unittests/sources/test_init.py +++ b/tests/unittests/sources/test_init.py @@ -6,6 +6,7 @@ import os import stat from cloudinit import importer, util +from cloudinit.distros import ubuntu from cloudinit.event import EventScope, EventType from cloudinit.helpers import Paths from cloudinit.sources import ( @@ -73,7 +74,7 @@ class TestDataSource(CiTestCase): def setUp(self): super(TestDataSource, self).setUp() self.sys_cfg = {"datasource": {"_undef": {"key1": False}}} - self.distro = "distrotest" # generally should be a Distro object + self.distro = ubuntu.Distro("", {}, {}) self.paths = Paths({}) self.datasource = DataSource(self.sys_cfg, self.distro, self.paths) @@ -201,7 +202,7 @@ class TestDataSource(CiTestCase): for log in expected_logs: self.assertIn(log, logs) - @mock.patch("cloudinit.sources.net.find_fallback_nic") + @mock.patch("cloudinit.distros.net.find_fallback_nic") def test_fallback_interface_is_discovered(self, m_get_fallback_nic): """The fallback_interface is discovered via find_fallback_nic.""" m_get_fallback_nic.return_value = "nic9" @@ -221,7 +222,7 @@ class TestDataSource(CiTestCase): @mock.patch("cloudinit.sources.net.find_fallback_nic") def test_wb_fallback_interface_is_cached(self, m_get_fallback_nic): """The fallback_interface is cached and won't be rediscovered.""" - self.datasource._fallback_interface = "nic10" + self.datasource.distro._fallback_interface = "nic10" self.assertEqual("nic10", self.datasource.fallback_interface) m_get_fallback_nic.assert_not_called() diff --git a/tests/unittests/sources/test_openstack.py b/tests/unittests/sources/test_openstack.py index 127123cff..97cc8c94e 100644 --- a/tests/unittests/sources/test_openstack.py +++ b/tests/unittests/sources/test_openstack.py @@ -338,7 +338,7 @@ class TestOpenStackDataSource(test_helpers.ResponsesTestCase): ds_os_local = ds.DataSourceOpenStackLocal( settings.CFG_BUILTIN, distro, helpers.Paths({"run_dir": self.tmp}) ) - ds_os_local._fallback_interface = "eth9" # Monkey patch for dhcp + distro.fallback_interface = "eth9" # Monkey patch for dhcp m_dhcp.return_value = { "interface": "eth9", "fixed-address": "192.168.2.9",	0	[ "cloudinit/distros/__init__.py", "cloudinit/net/dhcp.py", "cloudinit/sources/__init__.py", "tests/unittests/net/test_dhcp.py", "tests/unittests/sources/test_cloudstack.py", "tests/unittests/sources/test_ec2.py", "tests/unittests/sources/test_init.py", "tests/unittests/sources/test_openstack.py" ]	https://github.com/canonical/cloud-init/tree/4d5898b8a73c93e1ed4434744c2fa7c3f7fbd501	2024-01-12T20:05:57Z
Python	29	canonical	cloud-init	main	Lint Tests	check_format.yml	.github/workflows/check_format.yml	phsm	ecb486addc70aecc9b28f2b30a77eaf2fd587091	5e42147f3332b7694dacaada70f86a21f709d139	name: Lint Tests on: pull_request: push: branches: - main concurrency: group: 'ci-${{ github.workflow }}-${{ github.ref }}' cancel-in-progress: true defaults: run: shell: sh -ex {0} jobs: check_format: strategy: fail-fast: false matrix: env: [ruff, mypy, pylint, black, isort] lint-with: - {tip-versions: false, os: ubuntu-20.04} - {tip-versions: true, os: ubuntu-latest} name: Check ${{ matrix.lint-with.tip-versions && 'tip-' \|\| '' }}${{ matrix.env }} runs-on: ${{ matrix.lint-with.os }} services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: "Checkout #1" uses: actions/[email protected] - name: "Checkout #2 (for tools/read-version)" run: \| git fetch --unshallow git remote add upstream https://git.launchpad.net/cloud-init - name: Dependencies run: \| sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox - name: Print version run: python3 --version - name: Test if: ${{ !matrix.lint-with.tip-versions }} env: # matrix env: not to be confused w/environment variables or testenv TOXENV: ${{ matrix.env }} run: tox - name: Test (tip versions) if: matrix.lint-with.tip-versions continue-on-error: true env: TOXENV: tip-${{ matrix.env }} run: tox schema-format: strategy: fail-fast: false name: Check json format runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: "Checkout #1" uses: actions/[email protected] - name: "Test format" run: \| tools/check_json_format.sh cloudinit/config/schemas/schema-cloud-config-v1.json tools/check_json_format.sh cloudinit/config/schemas/schema-network-config-v1.json tools/check_json_format.sh cloudinit/config/schemas/versions.schema.cloud-config.json doc: strategy: fail-fast: false name: Check docs runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: "Checkout #1" uses: actions/[email protected] - name: "Checkout #2 (for tools/read-version)" run: \| git fetch --unshallow git remote add upstream https://git.launchpad.net/cloud-init - name: "Install Python 3.10" uses: actions/setup-python@v4 with: python-version: '3.10.8' - name: "Install dependencies" run: \| sudo DEBIAN_FRONTEND=noninteractive apt-get -qy update sudo DEBIAN_FRONTEND=noninteractive apt-get -qy install tox - name: "Spellcheck" run: \| tox env: TOXENV: doc-spelling - name: "Build docs" env: TOXENV: doc run: \| tox shell-lint: name: Shell Lint runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: Checkout uses: actions/[email protected] - name: Install ShellCheck run: \| sudo apt-get update sudo apt install shellcheck - name: Run ShellCheck run: \| shellcheck ./tools/ds-identify check-cla-signers: runs-on: ubuntu-22.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/[email protected] - name: Check CLA signers file run: tools/check-cla-signers env: PIP_INDEX_URL: http://localhost:8629/2024-01-05 UV_INDEX_URL: http://localhost:8629/2024-01-05	[ { "step_name": "Check mypy/6_Test.txt", "log": "##[group]Run tox\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/sh -ex {0}\nenv:\n TOXENV: mypy\n##[endgroup]\n+ tox\nGLOB sdist-make: /home/runner/work/cloud-init/cloud-init/setup.py\nmypy create: /home/runner/work/cloud-init/cloud-init/.tox/mypy\nmypy installdeps: hypothesis===6.31.6, hypothesis_jsonschema===0.20.1, mypy===0.950, pytest===7.0.1, types-jsonschema===4.4.2, types-passlib===1.7.7.12, types-pyyaml===6.0.4, types-oauthlib===3.1.6, types-requests===2.27.8, types-setuptools===57.4.9, typing-extensions===4.1.1\nmypy inst: /home/runner/work/cloud-init/cloud-init/.tox/.tmp/package/1/cloud-init-23.4+73.g786216e0.zip\nmypy installed: attrs==23.2.0,certifi==2023.11.17,charset-normalizer==3.3.2,cloud-init==23.4+73.g786216e0,configobj==5.0.8,hypothesis==6.31.6,hypothesis-jsonschema==0.20.1,idna==3.6,importlib-resources==6.1.1,iniconfig==2.0.0,Jinja2==3.1.2,jsonpatch==1.33,jsonpointer==2.4,jsonschema==4.20.0,jsonschema-specifications==2023.12.1,MarkupSafe==2.1.3,mypy==0.950,mypy-extensions==1.0.0,netifaces==0.11.0,oauthlib==3.2.2,packaging==23.2,pkgutil-resolve-name==1.3.10,pluggy==1.3.0,py==1.11.0,pyserial==3.5,pytest==7.0.1,PyYAML==6.0.1,referencing==0.32.0,requests==2.31.0,rpds-py==0.16.2,six==1.16.0,sortedcontainers==2.4.0,tomli==2.0.1,types-jsonschema==4.4.2,types-oauthlib==3.1.6,types-passlib==1.7.7.12,types-PyYAML==6.0.4,types-requests==2.27.8,types-setuptools==57.4.9,types-urllib3==1.26.25.14,typing-extensions==4.1.1,urllib3==2.1.0,zipp==3.17.0\nmypy run-test-pre: PYTHONHASHSEED='2984288895'\nmypy run-test: commands[0] \| /home/runner/work/cloud-init/cloud-init/.tox/mypy/bin/python -m mypy cloudinit/ tests/ tools/\ncloudinit/distros/__init__.py:154: error: X \| Y syntax for unions requires Python 3.10\ncloudinit/distros/__init__.py:158: error: X \| Y syntax for unions requires Python 3.10\nFound 2 errors in 1 file (checked 543 source files)\nERROR: InvocationError for command /home/runner/work/cloud-init/cloud-init/.tox/mypy/bin/python -m mypy cloudinit/ tests/ tools/ (exited with code 1)\n___________________________________ summary ____________________________________\nERROR: mypy: commands failed\n##[error]Process completed with exit code 1.\n" }, { "step_name": "Check pylint/6_Test.txt", "log": "##[group]Run tox\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/sh -ex {0}\nenv:\n TOXENV: pylint\n##[endgroup]\n+ tox\nGLOB sdist-make: /home/runner/work/cloud-init/cloud-init/setup.py\npylint create: /home/runner/work/cloud-init/cloud-init/.tox/pylint\npylint installdeps: pylint===2.13.9, -r/home/runner/work/cloud-init/cloud-init/test-requirements.txt, -r/home/runner/work/cloud-init/cloud-init/integration-requirements.txt\npylint inst: /home/runner/work/cloud-init/cloud-init/.tox/.tmp/package/1/cloud-init-23.4+73.g786216e0.zip\npylint installed: adal==1.2.7,anyio==4.2.0,appdirs==1.4.4,applicationinsights==0.11.10,argcomplete==3.1.6,astroid==2.11.7,attrs==23.2.0,autopage==0.5.2,azure-cli-core==2.55.0,azure-cli-telemetry==1.1.0,azure-common==1.1.28,azure-core==1.29.6,azure-identity==1.15.0,azure-mgmt-compute==30.4.0,azure-mgmt-core==1.4.0,azure-mgmt-network==25.2.0,azure-mgmt-resource==23.0.1,bcrypt==4.1.2,boto3==1.34.13,botocore==1.34.13,cachetools==5.3.2,certifi==2023.11.17,cffi==1.16.0,charset-normalizer==3.3.2,circuitbreaker==1.4.0,cliff==4.4.0,cloud-init==23.4+73.g786216e0,cmd2==2.4.3,configobj==5.0.8,coverage==7.4.0,cryptography==41.0.7,debtcollector==2.5.0,decorator==5.1.1,dill==0.3.7,distro==1.9.0,dogpile.cache==1.3.0,exceptiongroup==1.2.0,google-api-core==2.15.0,google-api-python-client==2.112.0,google-auth==2.26.1,google-auth-httplib2==0.2.0,googleapis-common-protos==1.62.0,httplib2==0.22.0,humanfriendly==10.0,ibm-cloud-sdk-core==3.18.2,ibm-platform-services==0.48.1,ibm-vpc==0.20.0,idna==3.6,importlib-metadata==7.0.1,importlib-resources==6.1.1,iniconfig==2.0.0,iso8601==2.1.0,isodate==0.6.1,isort==5.13.2,Jinja2==3.1.2,jmespath==1.0.1,jsonpatch==1.33,jsonpointer==2.4,jsonschema==4.20.0,jsonschema-specifications==2023.12.1,keystoneauth1==5.4.0,knack==0.11.0,lazy-object-proxy==1.10.0,MarkupSafe==2.1.3,mccabe==0.7.0,msal==1.24.0b2,msal-extensions==1.0.0,msgpack==1.0.7,msrest==0.7.1,msrestazure==0.6.4,netaddr==0.10.1,netifaces==0.11.0,oauthlib==3.2.2,oci==2.118.0,openstacksdk==1.4.0,os-service-types==1.7.0,osc-lib==2.9.0,oslo.config==9.2.0,oslo.i18n==6.2.0,oslo.serialization==5.2.0,oslo.utils==6.3.0,packaging==23.2,paramiko==3.4.0,passlib==1.7.4,pbr==6.0.0,pkginfo==1.9.6,pkgutil-resolve-name==1.3.10,platformdirs==4.1.0,pluggy==1.3.0,portalocker==2.8.2,prettytable==3.9.0,protobuf==3.19.6,psutil==5.9.7,pyasn1==0.5.1,pyasn1-modules==0.3.0,pycloudlib==1!5.12.1,pycparser==2.21,pygments==2.17.2,PyJWT==2.8.0,pylint==2.13.9,PyNaCl==1.5.0,pyOpenSSL==23.3.0,pyparsing==2.4.7,pyperclip==1.8.2,pyserial==3.5,pytest==7.4.4,pytest-cov==4.1.0,pytest-mock==3.12.0,python-cinderclient==9.4.0,python-dateutil==2.8.2,python-keystoneclient==5.2.0,python-novaclient==18.4.0,python-openstackclient==6.4.0,pytz==2023.3.post1,PyYAML==6.0.1,qemu.qmp==0.0.3,referencing==0.32.0,requests==2.31.0,requests-oauthlib==1.3.1,requestsexceptions==1.4.0,responses==0.24.1,rfc3986==2.0.0,rpds-py==0.16.2,rsa==4.9,s3transfer==0.10.0,simplejson==3.19.2,six==1.16.0,sniffio==1.3.0,stevedore==5.1.0,tabulate==0.9.0,toml==0.10.0,tomli==2.0.1,typing-extensions==4.9.0,tzdata==2023.4,uritemplate==4.1.1,urllib3==2.1.0,wcwidth==0.2.12,wrapt==1.16.0,zipp==3.17.0\npylint run-test-pre: PYTHONHASHSEED='2754439474'\npylint run-test: commands[0] \| /home/runner/work/cloud-init/cloud-init/.tox/pylint/bin/python -m pylint cloudinit/ tests/ tools/ conftest.py setup.py\n************* Module cloudinit.distros\ncloudinit/distros/__init__.py:154: [E1131(unsupported-binary-operation), Distro] unsupported operand type(s) for \|\ncloudinit/distros/__init__.py:158: [E1131(unsupported-binary-operation), Distro] unsupported operand type(s) for \|\n\n------------------------------------\nYour code has been rated at 10.00/10\n\nERROR: InvocationError for command /home/runner/work/cloud-init/cloud-init/.tox/pylint/bin/python -m pylint cloudinit/ tests/ tools/ conftest.py setup.py (exited with code 2)\n___________________________________ summary ____________________________________\nERROR: pylint: commands failed\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/cloudinit/distros/__init__.py b/cloudinit/distros/__init__.py index 9a073742c..c857a8737 100644 --- a/cloudinit/distros/__init__.py +++ b/cloudinit/distros/__init__.py @@ -151,11 +151,11 @@ class Distro(persistence.CloudInitPickleMixin, metaclass=abc.ABCMeta): # Directory where the distro stores their DHCP leases. # The children classes should override this with their dhcp leases # directory - dhclient_lease_directory: str \| None = None + dhclient_lease_directory: Optional[str] = None # A regex to match DHCP lease file(s) # The children classes should override this with a regex matching # their lease file name format - dhclient_lease_file_regex: str \| None = None + dhclient_lease_file_regex: Optional[str] = None def __init__(self, name, cfg, paths): self._paths = paths diff --git a/cloudinit/sources/DataSourceCloudStack.py b/cloudinit/sources/DataSourceCloudStack.py index e4b4d39b2..98078554e 100644 --- a/cloudinit/sources/DataSourceCloudStack.py +++ b/cloudinit/sources/DataSourceCloudStack.py @@ -299,16 +299,16 @@ def get_vr_address(distro=None): else: LOG.debug("Distro object is not defined, skipping leasefile search") - if not lease_file: - LOG.debug("No lease file found, using default gateway") - return get_default_gateway() - - lease_file = dhcp.IscDhclient.parse_dhcp_server_from_lease_file(lease_file) - if not latest_address: - # No virtual router found, fallback on default gateway - LOG.debug("No DHCP found, using default gateway") - return get_default_gateway() - return latest_address + if lease_file: + latest_address = dhcp.IscDhclient.parse_dhcp_server_from_lease_file( + lease_file + ) + if latest_address: + return latest_address + + # No virtual router found, fallback to default gateway + LOG.debug("No DHCP found, using default gateway") + return get_default_gateway() # Used to match classes to dependencies	2	[ "cloudinit/distros/__init__.py", "cloudinit/sources/DataSourceCloudStack.py" ]	https://github.com/canonical/cloud-init/tree/ecb486addc70aecc9b28f2b30a77eaf2fd587091	2024-01-05T08:18:36Z
Python	33	skypilot-org	skypilot	master	format	format.yml	.github/workflows/format.yml	jackyk02	cced5b5d68a3fe1a02d8ac1186e9d12b6c75dc8d	b639adb71066410b3b12d97a674ee7fcb51e9980	name: format on: # Trigger the workflow on push or pull request, # but only for the main branch push: branches: - master - 'releases/' pull_request: branches: - master - 'releases/' jobs: format: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: matrix: python-version: ["3.8"] steps: - uses: actions/checkout@v3 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: Install dependencies run: \| python -m pip install --upgrade pip pip install yapf==0.32.0 pip install toml==0.10.2 pip install black==22.10.0 pip install isort==5.12.0 - name: Running yapf run: \| yapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/' \ --exclude 'sky/skylet/providers/aws/' \ --exclude 'sky/skylet/providers/gcp/' \ --exclude 'sky/skylet/providers/azure/' \ --exclude 'sky/skylet/providers/ibm/' - name: Running black run: \| black --diff --check sky/skylet/providers/aws/ \ sky/skylet/providers/gcp/ \ sky/skylet/providers/azure/ \ sky/skylet/providers/ibm/ - name: Running isort for black formatted files run: \| isort --diff --check --profile black -l 88 -m 3 \ sky/skylet/providers/ibm/ - name: Running isort for yapf formatted files run: \| isort --diff --check ./ --sg 'sky/skylet/ray_patches/' \ --sg 'sky/skylet/providers/aws/' \ --sg 'sky/skylet/providers/gcp/' \ --sg 'sky/skylet/providers/azure/' \ --sg 'sky/skylet/providers/ibm/' env: PIP_INDEX_URL: http://localhost:8629/2023-11-07 UV_INDEX_URL: http://localhost:8629/2023-11-07	[ { "step_name": "format (3.8)/5_Running yapf.txt", "log": "##[group]Run yapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/' \\\n\u001b[36;1myapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/aws/' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/gcp/' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/azure/' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/ibm/'\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n--- ./sky/resources.py\t(original)\n+++ ./sky/resources.py\t(reformatted)\n@@ -152,8 +152,7 @@\n if round(disk_size) != disk_size:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f\"OS disk size must be an integer. Got: {disk_size}.\"\n- )\n+ f\"OS disk size must be an integer. Got: {disk_size}.\")\n self._disk_size = int(disk_size)\n else:\n self._disk_size = _DEFAULT_DISK_SIZE_GB\n@@ -167,7 +166,9 @@\n if None in image_id:\n self._image_id = {self._region: image_id[None].strip()}\n else:\n- self._image_id = {k.strip(): v.strip() for k, v in image_id.items()}\n+ self._image_id = {\n+ k.strip(): v.strip() for k, v in image_id.items()\n+ }\n self._is_image_managed = _is_image_managed\n \n self._disk_tier = disk_tier\n@@ -177,7 +178,8 @@\n ports = list(ports)\n if not isinstance(ports, list):\n ports = [ports]\n- ports = resources_utils.simplify_ports([str(port) for port in ports])\n+ ports = resources_utils.simplify_ports(\n+ [str(port) for port in ports])\n if not ports:\n # Set to None if empty. This is mainly for resources from\n # cli, which will comes in as an empty tuple.\n@@ -280,8 +282,7 @@\n hardware_str = (\n f\"{instance_type}{use_spot}\"\n f\"{cpus}{memory}{accelerators}{accelerator_args}{image_id}\"\n- f\"{disk_tier}{disk_size}{ports}\"\n- )\n+ f\"{disk_tier}{disk_size}{ports}\")\n # It may have leading ',' (for example, instance_type not set) or empty\n # spaces. Remove them.\n while hardware_str and hardware_str[0] in (\",\", \" \"):\n@@ -363,7 +364,8 @@\n if self._accelerators is not None:\n return self._accelerators\n if self.cloud is not None and self._instance_type is not None:\n- return self.cloud.get_accelerators_from_instance_type(self._instance_type)\n+ return self.cloud.get_accelerators_from_instance_type(\n+ self._instance_type)\n return None\n \n @property\n@@ -423,16 +425,14 @@\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f'The \"cpus\" field should be either a number or '\n- f'a string \"<number>+\". Found: {cpus!r}'\n- ) from None\n+ f'a string \"<number>+\". Found: {cpus!r}') from None\n else:\n num_cpus = float(cpus)\n \n if num_cpus <= 0:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f'The \"cpus\" field should be positive. Found: {cpus!r}'\n- )\n+ f'The \"cpus\" field should be positive. Found: {cpus!r}')\n \n def _set_memory(\n self,\n@@ -455,16 +455,14 @@\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f'The \"memory\" field should be either a number or '\n- f'a string \"<number>+\". Found: {memory!r}'\n- ) from None\n+ f'a string \"<number>+\". Found: {memory!r}') from None\n else:\n memory_gb = float(memory)\n \n if memory_gb <= 0:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- f'The \"cpus\" field should be positive. Found: {memory!r}'\n- )\n+ f'The \"cpus\" field should be positive. Found: {memory!r}')\n \n def _set_accelerators(\n self,\n@@ -483,11 +481,9 @@\n accelerators = {accelerators: 1}\n else:\n splits = accelerators.split(\":\")\n- parse_error = (\n- 'The \"accelerators\" field as a str '\n- \"should be <name> or <name>:<cnt>. \"\n- f\"Found: {accelerators!r}\"\n- )\n+ parse_error = ('The \"accelerators\" field as a str '\n+ \"should be <name> or <name>:<cnt>. \"\n+ f\"Found: {accelerators!r}\")\n if len(splits) != 2:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(parse_error)\n@@ -507,15 +503,16 @@\n \n # Canonicalize the accelerator names.\n accelerators = {\n- accelerator_registry.canonicalize_accelerator_name(acc): acc_count\n- for acc, acc_count in accelerators.items()\n+ accelerator_registry.canonicalize_accelerator_name(acc):\n+ acc_count for acc, acc_count in accelerators.items()\n }\n \n acc, _ = list(accelerators.items())[0]\n if \"tpu\" in acc.lower():\n if self.cloud is None:\n self._cloud = clouds.GCP()\n- assert self.cloud.is_same_cloud(clouds.GCP()), \"Cloud must be GCP.\"\n+ assert self.cloud.is_same_cloud(\n+ clouds.GCP()), \"Cloud must be GCP.\"\n if accelerator_args is None:\n accelerator_args = {}\n use_tpu_vm = accelerator_args.get(\"tpu_vm\", False)\n@@ -526,8 +523,7 @@\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n \"Cannot specify instance type\"\n- f' (got \"{self.instance_type}\") for TPU VM.'\n- )\n+ f' (got \"{self.instance_type}\") for TPU VM.')\n if \"runtime_version\" not in accelerator_args:\n if use_tpu_vm:\n accelerator_args[\"runtime_version\"] = \"tpu-vm-base\"\n@@ -535,8 +531,7 @@\n accelerator_args[\"runtime_version\"] = \"2.12.0\"\n logger.info(\n \"Missing runtime_version in accelerator_args, using\"\n- f' default ({accelerator_args[\"runtime_version\"]})'\n- )\n+ f' default ({accelerator_args[\"runtime_version\"]})')\n \n self._accelerators = accelerators\n self._accelerator_args = accelerator_args\n@@ -549,9 +544,8 @@\n assert self.is_launchable(), self\n return self.cloud.need_cleanup_after_preemption(self)\n \n- def _validate_and_set_region_zone(\n- self, region: Optional[str], zone: Optional[str]\n- ) -> None:\n+ def _validate_and_set_region_zone(self, region: Optional[str],\n+ zone: Optional[str]) -> None:\n if region is None and zone is None:\n return\n \n@@ -582,30 +576,28 @@\n table = log_utils.create_table([\"Cloud\", \"Hint\"])\n table.add_row([\"-----\", \"----\"])\n for cloud, error in cloud_to_errors.items():\n- reason_str = \"\\n\".join(textwrap.wrap(str(error), 80))\n+ reason_str = \"\\n\".join(textwrap.wrap(\n+ str(error), 80))\n table.add_row([str(cloud), reason_str])\n hint = table.get_string()\n raise ValueError(\n f\"Invalid (region {region!r}, zone {zone!r}) \"\n- f\"{cloud_str}. Details:\\n{hint}\"\n- )\n+ f\"{cloud_str}. Details:\\n{hint}\")\n elif len(valid_clouds) > 1:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f\"Cannot infer cloud from (region {region!r}, zone \"\n f\"{zone!r}). Multiple enabled clouds have region/zone \"\n f\"of the same names: {valid_clouds}. \"\n- f\"To fix: explicitly specify `cloud`.\"\n- )\n- logger.debug(\n- f\"Cloud is not specified, using {valid_clouds[0]} \"\n- f\"inferred from region {region!r} and zone {zone!r}\"\n- )\n+ f\"To fix: explicitly specify `cloud`.\")\n+ logger.debug(f\"Cloud is not specified, using {valid_clouds[0]} \"\n+ f\"inferred from region {region!r} and zone {zone!r}\")\n self._cloud = valid_clouds[0]\n \n # Validate if region and zone exist in the catalog, and set the region\n # if zone is specified.\n- self._region, self._zone = self._cloud.validate_region_zone(region, zone)\n+ self._region, self._zone = self._cloud.validate_region_zone(\n+ region, zone)\n \n def get_valid_regions_for_launchable(self) -> List[clouds.Region]:\n \"\"\"Returns a set of `Region`s that can provision this Resources.\n@@ -630,12 +622,9 @@\n \n # Filter the regions by the skypilot_config\n ssh_proxy_command_config = skypilot_config.get_nested(\n- (str(self._cloud).lower(), \"ssh_proxy_command\"), None\n- )\n- if (\n- isinstance(ssh_proxy_command_config, str)\n- or ssh_proxy_command_config is None\n- ):\n+ (str(self._cloud).lower(), \"ssh_proxy_command\"), None)\n+ if (isinstance(ssh_proxy_command_config, str) or\n+ ssh_proxy_command_config is None):\n # All regions are valid as the regions are not specified for the\n # ssh_proxy_command config.\n return regions\n@@ -659,8 +648,7 @@\n logger.warning(\n f\"{yellow}Request {self} cannot be satisfied by any feasible \"\n \"region. To fix, check that ssh_proxy_command's region keys \"\n- f\"include the regions to use.{reset}\"\n- )\n+ f\"include the regions to use.{reset}\")\n \n return filtered_regions\n \n@@ -675,8 +663,7 @@\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f\"Invalid instance type {self._instance_type!r} \"\n- f\"for cloud {self.cloud}.\"\n- )\n+ f\"for cloud {self.cloud}.\")\n else:\n # If cloud not specified\n valid_clouds = []\n@@ -692,8 +679,7 @@\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f\"Invalid instance type {self._instance_type!r} \"\n- f\"{cloud_str}.\"\n- )\n+ f\"{cloud_str}.\")\n if len(valid_clouds) > 1:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n@@ -702,8 +688,7 @@\n )\n logger.debug(\n f\"Cloud is not specified, using {valid_clouds[0]} \"\n- f\"inferred from the instance_type {self.instance_type!r}.\"\n- )\n+ f\"inferred from the instance_type {self.instance_type!r}.\")\n self._cloud = valid_clouds[0]\n \n def _try_validate_cpus_mem(self) -> None:\n@@ -715,7 +700,8 @@\n # The _try_validate_instance_type() method infers and sets\n # self.cloud if self.instance_type is not None.\n assert self.cloud is not None\n- cpus, mem = self.cloud.get_vcpus_mem_from_instance_type(self.instance_type)\n+ cpus, mem = self.cloud.get_vcpus_mem_from_instance_type(\n+ self.instance_type)\n if self.cpus is not None:\n if self.cpus.endswith(\"+\"):\n if cpus < float(self.cpus[:-1]):\n@@ -723,15 +709,13 @@\n raise ValueError(\n f\"{self.instance_type} does not have enough \"\n f\"vCPUs. {self.instance_type} has {cpus} \"\n- f\"vCPUs, but {self.cpus} is requested.\"\n- )\n+ f\"vCPUs, but {self.cpus} is requested.\")\n elif cpus != float(self.cpus):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f\"{self.instance_type} does not have the requested \"\n f\"number of vCPUs. {self.instance_type} has {cpus} \"\n- f\"vCPUs, but {self.cpus} is requested.\"\n- )\n+ f\"vCPUs, but {self.cpus} is requested.\")\n if self.memory is not None:\n if self.memory.endswith(\"+\"):\n if mem < float(self.memory[:-1]):\n@@ -739,15 +723,13 @@\n raise ValueError(\n f\"{self.instance_type} does not have enough \"\n f\"memory. {self.instance_type} has {mem} GB \"\n- f\"memory, but {self.memory} is requested.\"\n- )\n+ f\"memory, but {self.memory} is requested.\")\n elif mem != float(self.memory):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f\"{self.instance_type} does not have the requested \"\n f\"memory. {self.instance_type} has {mem} GB \"\n- f\"memory, but {self.memory} is requested.\"\n- )\n+ f\"memory, but {self.memory} is requested.\")\n \n def _try_validate_spot(self) -> None:\n if self._spot_recovery is None:\n@@ -762,31 +744,26 @@\n raise ValueError(\n f\"Spot recovery strategy {self._spot_recovery} \"\n \"is not supported. The strategy should be among \"\n- f\"{list(spot.SPOT_STRATEGIES.keys())}\"\n- )\n+ f\"{list(spot.SPOT_STRATEGIES.keys())}\")\n \n def _try_validate_local(self) -> None:\n if isinstance(self._cloud, clouds.Local):\n if self._use_spot:\n with ux_utils.print_exception_no_traceback():\n- raise ValueError(\n- \"Local/On-prem mode does not support spot \" \"instances.\"\n- )\n+ raise ValueError(\"Local/On-prem mode does not support spot \"\n+ \"instances.\")\n local_instance = clouds.Local.get_default_instance_type()\n- if (\n- self._instance_type is not None\n- and self._instance_type != local_instance\n- ):\n+ if (self._instance_type is not None and\n+ self._instance_type != local_instance):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n \"Local/On-prem mode does not support instance type:\"\n- f\" {self._instance_type}.\"\n- )\n+ f\" {self._instance_type}.\")\n if self._image_id is not None:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- \"Local/On-prem mode does not support custom \" \"images.\"\n- )\n+ \"Local/On-prem mode does not support custom \"\n+ \"images.\")\n \n def extract_docker_image(self) -> Optional[str]:\n if self.image_id is None:\n@@ -794,7 +771,7 @@\n if len(self.image_id) == 1 and self.region in self.image_id:\n image_id = self.image_id[self.region]\n if image_id.startswith(\"docker:\"):\n- return image_id[len(\"docker:\") :]\n+ return image_id[len(\"docker:\"):]\n return None\n \n def _try_validate_image_id(self) -> None:\n@@ -808,63 +785,53 @@\n if acc.lower().startswith(\"tpu\"):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- \"Docker image is not supported for TPU VM.\"\n- )\n+ \"Docker image is not supported for TPU VM.\")\n if self.cloud is not None:\n self.cloud.check_features_are_supported(\n- {clouds.CloudImplementationFeatures.DOCKER_IMAGE}\n- )\n+ {clouds.CloudImplementationFeatures.DOCKER_IMAGE})\n return\n \n if self.cloud is None:\n with ux_utils.print_exception_no_traceback():\n- raise ValueError(\"Cloud must be specified when image_id is provided.\")\n+ raise ValueError(\n+ \"Cloud must be specified when image_id is provided.\")\n \n # Apr, 2023 by Hysun([email protected]): Added support for OCI\n- if (\n- not self._cloud.is_same_cloud(clouds.AWS())\n- and not self._cloud.is_same_cloud(clouds.GCP())\n- and not self._cloud.is_same_cloud(clouds.IBM())\n- and not self._cloud.is_same_cloud(clouds.OCI())\n- ):\n+ if (not self._cloud.is_same_cloud(clouds.AWS()) and\n+ not self._cloud.is_same_cloud(clouds.GCP()) and\n+ not self._cloud.is_same_cloud(clouds.IBM()) and\n+ not self._cloud.is_same_cloud(clouds.OCI())):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n \"image_id is only supported for AWS/GCP/IBM/OCI, please \"\n- \"explicitly specify the cloud.\"\n- )\n+ \"explicitly specify the cloud.\")\n \n if self._region is not None:\n if self._region not in self._image_id:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f\"image_id {self._image_id} should contain the image \"\n- f\"for the specified region {self._region}.\"\n- )\n+ f\"for the specified region {self._region}.\")\n # Narrow down the image_id to the specified region.\n self._image_id = {self._region: self._image_id[self._region]}\n \n # Check the image_id's are valid.\n for region, image_id in self._image_id.items():\n- if image_id.startswith(\"skypilot:\") and not self._cloud.is_image_tag_valid(\n- image_id, region\n- ):\n+ if image_id.startswith(\n+ \"skypilot:\") and not self._cloud.is_image_tag_valid(\n+ image_id, region):\n region_str = f\" ({region})\" if region else \"\"\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f\"Image tag {image_id!r} is not valid, please make sure\"\n- f\" the tag exists in {self._cloud}{region_str}.\"\n- )\n-\n- if (\n- self._cloud.is_same_cloud(clouds.AWS())\n- and not image_id.startswith(\"skypilot:\")\n- and region is None\n- ):\n+ f\" the tag exists in {self._cloud}{region_str}.\")\n+\n+ if (self._cloud.is_same_cloud(clouds.AWS()) and\n+ not image_id.startswith(\"skypilot:\") and region is None):\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n \"image_id is only supported for AWS in a specific \"\n- \"region, please explicitly specify the region.\"\n- )\n+ \"region, please explicitly specify the region.\")\n \n # Validate the image exists and the size is smaller than the disk size.\n for region, image_id in self._image_id.items():\n@@ -873,9 +840,8 @@\n image_size = self.cloud.get_image_size(image_id, region)\n if image_size >= self.disk_size:\n with ux_utils.print_exception_no_traceback():\n- size_comparison = (\n- \"larger\" if image_size > self.disk_size else \"equal\"\n- )\n+ size_comparison = (\"larger\" if image_size > self.disk_size\n+ else \"equal\")\n raise ValueError(\n f\"Image {image_id!r} is {image_size}GB, which is \"\n f\"{size_comparison} than the specified disk_size: {self.disk_size}\"\n@@ -889,25 +855,25 @@\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n f\"Invalid disk_tier {self.disk_tier}. \"\n- 'Please use one of \"high\", \"medium\", or \"low\".'\n- )\n+ 'Please use one of \"high\", \"medium\", or \"low\".')\n if self.instance_type is None:\n return\n if self.cloud is not None:\n- self.cloud.check_disk_tier_enabled(self.instance_type, self.disk_tier)\n+ self.cloud.check_disk_tier_enabled(self.instance_type,\n+ self.disk_tier)\n \n def _try_validate_ports(self) -> None:\n if self.ports is None:\n return\n- if skypilot_config.get_nested((\"aws\", \"security_group_name\"), None) is not None:\n+ if skypilot_config.get_nested((\"aws\", \"security_group_name\"),\n+ None) is not None:\n with ux_utils.print_exception_no_traceback():\n raise ValueError(\n- \"Cannot specify ports when AWS security group name is \" \"specified.\"\n- )\n+ \"Cannot specify ports when AWS security group name is \"\n+ \"specified.\")\n if self.cloud is not None:\n self.cloud.check_features_are_supported(\n- {clouds.CloudImplementationFeatures.OPEN_PORTS}\n- )\n+ {clouds.CloudImplementationFeatures.OPEN_PORTS})\n # We don't need to check the ports format since we already done it\n # in resources_utils.simplify_ports\n \n@@ -916,13 +882,11 @@\n hours = seconds / 3600\n # Instance.\n hourly_cost = self.cloud.instance_type_to_hourly_cost(\n- self._instance_type, self.use_spot, self._region, self._zone\n- )\n+ self._instance_type, self.use_spot, self._region, self._zone)\n # Accelerators (if any).\n if self.accelerators is not None:\n hourly_cost += self.cloud.accelerators_to_hourly_cost(\n- self.accelerators, self.use_spot, self._region, self._zone\n- )\n+ self.accelerators, self.use_spot, self._region, self._zone)\n return hourly_cost * hours\n \n def make_deploy_variables(\n@@ -939,8 +903,7 @@\n variables are generated by this method.\n \"\"\"\n cloud_specific_variables = self.cloud.make_deploy_resources_variables(\n- self, cluster_name_on_cloud, region, zones\n- )\n+ self, cluster_name_on_cloud, region, zones)\n docker_image = self.extract_docker_image()\n return dict(\n cloud_specific_variables,\n@@ -951,7 +914,8 @@\n \"docker_image\": docker_image,\n # Docker container name. The name of the container. Default to\n # `sky_container`.\n- \"docker_container_name\": constants.DEFAULT_DOCKER_CONTAINER_NAME,\n+ \"docker_container_name\":\n+ constants.DEFAULT_DOCKER_CONTAINER_NAME,\n # Docker login config (if any). This helps pull the image from\n # private registries.\n \"docker_login_config\": self._docker_login_config,\n@@ -959,8 +923,7 @@\n )\n \n def get_reservations_available_resources(\n- self, specific_reservations: Set[str]\n- ) -> Dict[str, int]:\n+ self, specific_reservations: Set[str]) -> Dict[str, int]:\n \"\"\"Returns the number of available reservation resources.\"\"\"\n if self.use_spot:\n # GCP's & AWS's reservations do not support spot instances. We\n@@ -968,8 +931,8 @@\n # to each cloud if any cloud supports reservations for spot.\n return {}\n return self.cloud.get_reservations_available_resources(\n- self._instance_type, self._region, self._zone, specific_reservations\n- )\n+ self._instance_type, self._region, self._zone,\n+ specific_reservations)\n \n def less_demanding_than(\n self,\n@@ -1009,17 +972,15 @@\n if not self.image_id.items() <= other.image_id.items():\n return False\n else:\n- this_image = self.image_id.get(other.region) or self.image_id.get(None)\n- other_image = other.image_id.get(other.region) or other.image_id.get(\n- None\n- )\n+ this_image = self.image_id.get(\n+ other.region) or self.image_id.get(None)\n+ other_image = other.image_id.get(\n+ other.region) or other.image_id.get(None)\n if this_image != other_image:\n return False\n \n- if (\n- self._instance_type is not None\n- and self._instance_type != other.instance_type\n- ):\n+ if (self._instance_type is not None and\n+ self._instance_type != other.instance_type):\n return False\n # self._instance_type <= other.instance_type\n \n@@ -1034,10 +995,8 @@\n return False\n # self.accelerators <= other.accelerators\n \n- if (\n- self.accelerator_args is not None\n- and self.accelerator_args != other.accelerator_args\n- ):\n+ if (self.accelerator_args is not None and\n+ self.accelerator_args != other.accelerator_args):\n return False\n # self.accelerator_args == other.accelerator_args\n \n@@ -1049,7 +1008,8 @@\n return False\n if self.disk_tier != other.disk_tier:\n types = [\"low\", \"medium\", \"high\"]\n- return types.index(self.disk_tier) < types.index(other.disk_tier)\n+ return types.index(self.disk_tier) < types.index(\n+ other.disk_tier)\n \n if check_ports:\n if self.ports is not None:\n@@ -1070,42 +1030,37 @@\n for that field.\n \"\"\"\n is_matched = True\n- if blocked.cloud is not None and not self.cloud.is_same_cloud(blocked.cloud):\n+ if blocked.cloud is not None and not self.cloud.is_same_cloud(\n+ blocked.cloud):\n is_matched = False\n- if (\n- blocked.instance_type is not None\n- and self.instance_type != blocked.instance_type\n- ):\n+ if (blocked.instance_type is not None and\n+ self.instance_type != blocked.instance_type):\n is_matched = False\n if blocked.region is not None and self._region != blocked.region:\n is_matched = False\n if blocked.zone is not None and self._zone != blocked.zone:\n is_matched = False\n- if (\n- blocked.accelerators is not None\n- and self.accelerators != blocked.accelerators\n- ):\n+ if (blocked.accelerators is not None and\n+ self.accelerators != blocked.accelerators):\n is_matched = False\n return is_matched\n \n def is_empty(self) -> bool:\n \"\"\"Is this Resources an empty request (all fields None)?\"\"\"\n- return all(\n- [\n- self.cloud is None,\n- self._instance_type is None,\n- self.cpus is None,\n- self.memory is None,\n- self.accelerators is None,\n- self.accelerator_args is None,\n- not self._use_spot_specified,\n- self.disk_size == _DEFAULT_DISK_SIZE_GB,\n- self.disk_tier is None,\n- self._image_id is None,\n- self.ports is None,\n- self._docker_login_config is None,\n- ]\n- )\n+ return all([\n+ self.cloud is None,\n+ self._instance_type is None,\n+ self.cpus is None,\n+ self.memory is None,\n+ self.accelerators is None,\n+ self.accelerator_args is None,\n+ not self._use_spot_specified,\n+ self.disk_size == _DEFAULT_DISK_SIZE_GB,\n+ self.disk_tier is None,\n+ self._image_id is None,\n+ self.ports is None,\n+ self._docker_login_config is None,\n+ ])\n \n def copy(self, **override) -> \"Resources\":\n \"\"\"Returns a copy of the given Resources.\"\"\"\n@@ -1116,7 +1071,8 @@\n cpus=override.pop(\"cpus\", self.cpus),\n memory=override.pop(\"memory\", self.memory),\n accelerators=override.pop(\"accelerators\", self.accelerators),\n- accelerator_args=override.pop(\"accelerator_args\", self.accelerator_args),\n+ accelerator_args=override.pop(\"accelerator_args\",\n+ self.accelerator_args),\n use_spot=override.pop(\"use_spot\", use_spot),\n spot_recovery=override.pop(\"spot_recovery\", self.spot_recovery),\n disk_size=override.pop(\"disk_size\", self.disk_size),\n@@ -1125,10 +1081,10 @@\n image_id=override.pop(\"image_id\", self.image_id),\n disk_tier=override.pop(\"disk_tier\", self.disk_tier),\n ports=override.pop(\"ports\", self.ports),\n- _docker_login_config=override.pop(\n- \"_docker_login_config\", self._docker_login_config\n- ),\n- _is_image_managed=override.pop(\"_is_image_managed\", self._is_image_managed),\n+ _docker_login_config=override.pop(\"_docker_login_config\",\n+ self._docker_login_config),\n+ _is_image_managed=override.pop(\"_is_image_managed\",\n+ self._is_image_managed),\n )\n assert len(override) == 0\n return resources\n@@ -1144,7 +1100,8 @@\n return False\n return True\n \n- def get_required_cloud_features(self) -> Set[clouds.CloudImplementationFeatures]:\n+ def get_required_cloud_features(\n+ self) -> Set[clouds.CloudImplementationFeatures]:\n \"\"\"Returns the set of cloud features required by this Resources.\"\"\"\n features = set()\n if self.use_spot:\n@@ -1162,19 +1119,18 @@\n if config is None:\n return Resources()\n \n- common_utils.validate_schema(\n- config, schemas.get_resources_schema(), \"Invalid resources YAML: \"\n- )\n+ common_utils.validate_schema(config, schemas.get_resources_schema(),\n+ \"Invalid resources YAML: \")\n \n resources_fields = {}\n resources_fields[\"cloud\"] = clouds.CLOUD_REGISTRY.from_str(\n- config.pop(\"cloud\", None)\n- )\n+ config.pop(\"cloud\", None))\n resources_fields[\"instance_type\"] = config.pop(\"instance_type\", None)\n resources_fields[\"cpus\"] = config.pop(\"cpus\", None)\n resources_fields[\"memory\"] = config.pop(\"memory\", None)\n resources_fields[\"accelerators\"] = config.pop(\"accelerators\", None)\n- resources_fields[\"accelerator_args\"] = config.pop(\"accelerator_args\", None)\n+ resources_fields[\"accelerator_args\"] = config.pop(\n+ \"accelerator_args\", None)\n resources_fields[\"use_spot\"] = config.pop(\"use_spot\", None)\n resources_fields[\"spot_recovery\"] = config.pop(\"spot_recovery\", None)\n resources_fields[\"disk_size\"] = config.pop(\"disk_size\", None)\n@@ -1184,9 +1140,9 @@\n resources_fields[\"disk_tier\"] = config.pop(\"disk_tier\", None)\n resources_fields[\"ports\"] = config.pop(\"ports\", None)\n resources_fields[\"_docker_login_config\"] = config.pop(\n- \"_docker_login_config\", None\n- )\n- resources_fields[\"_is_image_managed\"] = config.pop(\"_is_image_managed\", None)\n+ \"_docker_login_config\", None)\n+ resources_fields[\"_is_image_managed\"] = config.pop(\n+ \"_is_image_managed\", None)\n \n if resources_fields[\"cpus\"] is not None:\n resources_fields[\"cpus\"] = str(resources_fields[\"cpus\"])\n@@ -1194,8 +1150,7 @@\n resources_fields[\"memory\"] = str(resources_fields[\"memory\"])\n if resources_fields[\"accelerator_args\"] is not None:\n resources_fields[\"accelerator_args\"] = dict(\n- resources_fields[\"accelerator_args\"]\n- )\n+ resources_fields[\"accelerator_args\"])\n if resources_fields[\"disk_size\"] is not None:\n resources_fields[\"disk_size\"] = int(resources_fields[\"disk_size\"])\n \n@@ -1273,8 +1228,8 @@\n accelerators = state.pop(\"_accelerators\", None)\n if accelerators is not None:\n accelerators = {\n- accelerator_registry.canonicalize_accelerator_name(acc): acc_count\n- for acc, acc_count in accelerators.items()\n+ accelerator_registry.canonicalize_accelerator_name(acc):\n+ acc_count for acc, acc_count in accelerators.items()\n }\n state[\"_accelerators\"] = accelerators\n \n@@ -1304,7 +1259,6 @@\n original_ports = state.get(\"_ports\", None)\n if original_ports is not None:\n state[\"_ports\"] = resources_utils.simplify_ports(\n- [str(port) for port in original_ports]\n- )\n+ [str(port) for port in original_ports])\n \n self.__dict__.update(state)\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/sky/resources.py b/sky/resources.py index ef8e888b..2f7aebce 100644 --- a/sky/resources.py +++ b/sky/resources.py @@ -42,7 +42,6 @@ class Resources: * for provisioning on a cloud """ - # If any fields changed, increment the version. For backward compatibility, # modify the __setstate__ method to handle the old version. _VERSION = 13 @@ -61,7 +60,7 @@ class Resources: zone: Optional[str] = None, image_id: Union[Dict[str, str], str, None] = None, disk_size: Optional[int] = None, - disk_tier: Optional[Literal["high", "medium", "low"]] = None, + disk_tier: Optional[Literal['high', 'medium', 'low']] = None, ports: Optional[Union[int, str, List[str], Tuple[str]]] = None, # Internal use only. _docker_login_config: Optional[docker_utils.DockerLoginConfig] = None, @@ -145,15 +144,14 @@ class Resources: self._use_spot = use_spot if use_spot is not None else False self._spot_recovery = None if spot_recovery is not None: - if spot_recovery.strip().lower() != "none": + if spot_recovery.strip().lower() != 'none': self._spot_recovery = spot_recovery.upper() if disk_size is not None: if round(disk_size) != disk_size: with ux_utils.print_exception_no_traceback(): raise ValueError( - f"OS disk size must be an integer. Got: {disk_size}." - ) + f'OS disk size must be an integer. Got: {disk_size}.') self._disk_size = int(disk_size) else: self._disk_size = _DEFAULT_DISK_SIZE_GB @@ -167,7 +165,9 @@ class Resources: if None in image_id: self._image_id = {self._region: image_id[None].strip()} else: - self._image_id = {k.strip(): v.strip() for k, v in image_id.items()} + self._image_id = { + k.strip(): v.strip() for k, v in image_id.items() + } self._is_image_managed = _is_image_managed self._disk_tier = disk_tier @@ -177,7 +177,8 @@ class Resources: ports = list(ports) if not isinstance(ports, list): ports = [ports] - ports = resources_utils.simplify_ports([str(port) for port in ports]) + ports = resources_utils.simplify_ports( + [str(port) for port in ports]) if not ports: # Set to None if empty. This is mainly for resources from # cli, which will comes in as an empty tuple. @@ -228,84 +229,83 @@ class Resources: >>> sky.Resources(disk_size=100) <Cloud>(disk_size=100) """ - accelerators = "" - accelerator_args = "" + accelerators = '' + accelerator_args = '' if self.accelerators is not None: - accelerators = f", {self.accelerators}" + accelerators = f', {self.accelerators}' if self.accelerator_args is not None: - accelerator_args = f", accelerator_args={self.accelerator_args}" + accelerator_args = f', accelerator_args={self.accelerator_args}' - cpus = "" + cpus = '' if self.cpus is not None: - cpus = f", cpus={self.cpus}" + cpus = f', cpus={self.cpus}' - memory = "" + memory = '' if self.memory is not None: - memory = f", mem={self.memory}" + memory = f', mem={self.memory}' if isinstance(self.cloud, clouds.Local): - return f"{self.cloud}({self.accelerators})" + return f'{self.cloud}({self.accelerators})' - use_spot = "" + use_spot = '' if self.use_spot: - use_spot = "[Spot]" + use_spot = '[Spot]' - image_id = "" + image_id = '' if self.image_id is not None: if None in self.image_id: - image_id = f", image_id={self.image_id[None]}" + image_id = f', image_id={self.image_id[None]}' else: - image_id = f", image_id={self.image_id}" + image_id = f', image_id={self.image_id}' - disk_tier = "" + disk_tier = '' if self.disk_tier is not None: - disk_tier = f", disk_tier={self.disk_tier}" + disk_tier = f', disk_tier={self.disk_tier}' - disk_size = "" + disk_size = '' if self.disk_size != _DEFAULT_DISK_SIZE_GB: - disk_size = f", disk_size={self.disk_size}" + disk_size = f', disk_size={self.disk_size}' - ports = "" + ports = '' if self.ports is not None: - ports = f", ports={self.ports}" + ports = f', ports={self.ports}' if self._instance_type is not None: - instance_type = f"{self._instance_type}" + instance_type = f'{self._instance_type}' else: - instance_type = "" + instance_type = '' # Do not show region/zone here as `sky status -a` would show them as # separate columns. Also, Resources repr will be printed during # failover, and the region may be dynamically determined. hardware_str = ( - f"{instance_type}{use_spot}" - f"{cpus}{memory}{accelerators}{accelerator_args}{image_id}" - f"{disk_tier}{disk_size}{ports}" - ) + f'{instance_type}{use_spot}' + f'{cpus}{memory}{accelerators}{accelerator_args}{image_id}' + f'{disk_tier}{disk_size}{ports}') # It may have leading ',' (for example, instance_type not set) or empty # spaces. Remove them. - while hardware_str and hardware_str[0] in (",", " "): + while hardware_str and hardware_str[0] in (',', ' '): hardware_str = hardware_str[1:] - cloud_str = "<Cloud>" + cloud_str = '<Cloud>' if self.cloud is not None: - cloud_str = f"{self.cloud}" + cloud_str = f'{self.cloud}' - return f"{cloud_str}({hardware_str})" + return f'{cloud_str}({hardware_str})' @property def repr_with_region_zone(self) -> str: - region_str = "" + region_str = '' if self.region is not None: - region_str = f", region={self.region}" - zone_str = "" + region_str = f', region={self.region}' + zone_str = '' if self.zone is not None: - zone_str = f", zone={self.zone}" + zone_str = f', zone={self.zone}' repr_str = str(self) - if repr_str.endswith(")"): - repr_str = repr_str[:-1] + f"{region_str}{zone_str})" + if repr_str.endswith(')'): + repr_str = repr_str[:-1] + f'{region_str}{zone_str})' else: - repr_str += f"{region_str}{zone_str}" + repr_str += f'{region_str}{zone_str}' return repr_str @property @@ -363,7 +363,8 @@ class Resources: if self._accelerators is not None: return self._accelerators if self.cloud is not None and self._instance_type is not None: - return self.cloud.get_accelerators_from_instance_type(self._instance_type) + return self.cloud.get_accelerators_from_instance_type( + self._instance_type) return None @property @@ -412,7 +413,7 @@ class Resources: self._cpus = str(cpus) if isinstance(cpus, str): - if cpus.endswith("+"): + if cpus.endswith('+'): num_cpus_str = cpus[:-1] else: num_cpus_str = cpus @@ -423,16 +424,14 @@ class Resources: with ux_utils.print_exception_no_traceback(): raise ValueError( f'The "cpus" field should be either a number or ' - f'a string "<number>+". Found: {cpus!r}' - ) from None + f'a string "<number>+". Found: {cpus!r}') from None else: num_cpus = float(cpus) if num_cpus <= 0: with ux_utils.print_exception_no_traceback(): raise ValueError( - f'The "cpus" field should be positive. Found: {cpus!r}' - ) + f'The "cpus" field should be positive. Found: {cpus!r}') def _set_memory( self, @@ -444,7 +443,7 @@ class Resources: self._memory = str(memory) if isinstance(memory, str): - if memory.endswith("+"): + if memory.endswith('+'): num_memory_gb = memory[:-1] else: num_memory_gb = memory @@ -455,16 +454,14 @@ class Resources: with ux_utils.print_exception_no_traceback(): raise ValueError( f'The "memory" field should be either a number or ' - f'a string "<number>+". Found: {memory!r}' - ) from None + f'a string "<number>+". Found: {memory!r}') from None else: memory_gb = float(memory) if memory_gb <= 0: with ux_utils.print_exception_no_traceback(): raise ValueError( - f'The "cpus" field should be positive. Found: {memory!r}' - ) + f'The "cpus" field should be positive. Found: {memory!r}') def _set_accelerators( self, @@ -479,15 +476,13 @@ class Resources: """ if accelerators is not None: if isinstance(accelerators, str): # Convert to Dict[str, int]. - if ":" not in accelerators: + if ':' not in accelerators: accelerators = {accelerators: 1} else: - splits = accelerators.split(":") - parse_error = ( - 'The "accelerators" field as a str ' - "should be <name> or <name>:<cnt>. " - f"Found: {accelerators!r}" - ) + splits = accelerators.split(':') + parse_error = ('The "accelerators" field as a str ' + 'should be <name> or <name>:<cnt>. ' + f'Found: {accelerators!r}') if len(splits) != 2: with ux_utils.print_exception_no_traceback(): raise ValueError(parse_error) @@ -507,36 +502,35 @@ class Resources: # Canonicalize the accelerator names. accelerators = { - accelerator_registry.canonicalize_accelerator_name(acc): acc_count - for acc, acc_count in accelerators.items() + accelerator_registry.canonicalize_accelerator_name(acc): + acc_count for acc, acc_count in accelerators.items() } acc, _ = list(accelerators.items())[0] - if "tpu" in acc.lower(): + if 'tpu' in acc.lower(): if self.cloud is None: self._cloud = clouds.GCP() - assert self.cloud.is_same_cloud(clouds.GCP()), "Cloud must be GCP." + assert self.cloud.is_same_cloud( + clouds.GCP()), 'Cloud must be GCP.' if accelerator_args is None: accelerator_args = {} - use_tpu_vm = accelerator_args.get("tpu_vm", False) + use_tpu_vm = accelerator_args.get('tpu_vm', False) if use_tpu_vm: tpu_utils.check_gcp_cli_include_tpu_vm() if self.instance_type is not None and use_tpu_vm: - if self.instance_type != "TPU-VM": + if self.instance_type != 'TPU-VM': with ux_utils.print_exception_no_traceback(): raise ValueError( - "Cannot specify instance type" - f' (got "{self.instance_type}") for TPU VM.' - ) - if "runtime_version" not in accelerator_args: + 'Cannot specify instance type' + f' (got "{self.instance_type}") for TPU VM.') + if 'runtime_version' not in accelerator_args: if use_tpu_vm: - accelerator_args["runtime_version"] = "tpu-vm-base" + accelerator_args['runtime_version'] = 'tpu-vm-base' else: - accelerator_args["runtime_version"] = "2.12.0" + accelerator_args['runtime_version'] = '2.12.0' logger.info( - "Missing runtime_version in accelerator_args, using" - f' default ({accelerator_args["runtime_version"]})' - ) + 'Missing runtime_version in accelerator_args, using' + f' default ({accelerator_args["runtime_version"]})') self._accelerators = accelerators self._accelerator_args = accelerator_args @@ -549,9 +543,8 @@ class Resources: assert self.is_launchable(), self return self.cloud.need_cleanup_after_preemption(self) - def _validate_and_set_region_zone( - self, region: Optional[str], zone: Optional[str] - ) -> None: + def _validate_and_set_region_zone(self, region: Optional[str], + zone: Optional[str]) -> None: if region is None and zone is None: return @@ -571,41 +564,39 @@ class Resources: if len(valid_clouds) == 0: if len(enabled_clouds) == 1: - cloud_str = f"for cloud {enabled_clouds[0]}" + cloud_str = f'for cloud {enabled_clouds[0]}' else: - cloud_str = f"for any cloud among {enabled_clouds}" + cloud_str = f'for any cloud among {enabled_clouds}' with ux_utils.print_exception_no_traceback(): if len(cloud_to_errors) == 1: # UX: if 1 cloud, don't print a table. hint = list(cloud_to_errors.items())[0][-1] else: - table = log_utils.create_table(["Cloud", "Hint"]) - table.add_row(["-----", "----"]) + table = log_utils.create_table(['Cloud', 'Hint']) + table.add_row(['-----', '----']) for cloud, error in cloud_to_errors.items(): - reason_str = "\n".join(textwrap.wrap(str(error), 80)) + reason_str = '\n'.join(textwrap.wrap( + str(error), 80)) table.add_row([str(cloud), reason_str]) hint = table.get_string() raise ValueError( - f"Invalid (region {region!r}, zone {zone!r}) " - f"{cloud_str}. Details:\n{hint}" - ) + f'Invalid (region {region!r}, zone {zone!r}) ' + f'{cloud_str}. Details:\n{hint}') elif len(valid_clouds) > 1: with ux_utils.print_exception_no_traceback(): raise ValueError( - f"Cannot infer cloud from (region {region!r}, zone " - f"{zone!r}). Multiple enabled clouds have region/zone " - f"of the same names: {valid_clouds}. " - f"To fix: explicitly specify `cloud`." - ) - logger.debug( - f"Cloud is not specified, using {valid_clouds[0]} " - f"inferred from region {region!r} and zone {zone!r}" - ) + f'Cannot infer cloud from (region {region!r}, zone ' + f'{zone!r}). Multiple enabled clouds have region/zone ' + f'of the same names: {valid_clouds}. ' + f'To fix: explicitly specify `cloud`.') + logger.debug(f'Cloud is not specified, using {valid_clouds[0]} ' + f'inferred from region {region!r} and zone {zone!r}') self._cloud = valid_clouds[0] # Validate if region and zone exist in the catalog, and set the region # if zone is specified. - self._region, self._zone = self._cloud.validate_region_zone(region, zone) + self._region, self._zone = self._cloud.validate_region_zone( + region, zone) def get_valid_regions_for_launchable(self) -> List[clouds.Region]: """Returns a set of `Region`s that can provision this Resources. @@ -618,24 +609,18 @@ class Resources: """ assert self.is_launchable(), self - regions = self._cloud.regions_with_offering( - self._instance_type, - self.accelerators, - self._use_spot, - self._region, - self._zone, - ) + regions = self._cloud.regions_with_offering(self._instance_type, + self.accelerators, + self._use_spot, + self._region, self._zone) if self._image_id is not None and None not in self._image_id: regions = [r for r in regions if r.name in self._image_id] # Filter the regions by the skypilot_config ssh_proxy_command_config = skypilot_config.get_nested( - (str(self._cloud).lower(), "ssh_proxy_command"), None - ) - if ( - isinstance(ssh_proxy_command_config, str) - or ssh_proxy_command_config is None - ): + (str(self._cloud).lower(), 'ssh_proxy_command'), None) + if (isinstance(ssh_proxy_command_config, str) or + ssh_proxy_command_config is None): # All regions are valid as the regions are not specified for the # ssh_proxy_command config. return regions @@ -657,10 +642,9 @@ class Resources: yellow = colorama.Fore.YELLOW reset = colorama.Style.RESET_ALL logger.warning( - f"{yellow}Request {self} cannot be satisfied by any feasible " - "region. To fix, check that ssh_proxy_command's region keys " - f"include the regions to use.{reset}" - ) + f'{yellow}Request {self} cannot be satisfied by any feasible ' + 'region. To fix, check that ssh_proxy_command\'s region keys ' + f'include the regions to use.{reset}') return filtered_regions @@ -674,9 +658,8 @@ class Resources: if not valid: with ux_utils.print_exception_no_traceback(): raise ValueError( - f"Invalid instance type {self._instance_type!r} " - f"for cloud {self.cloud}." - ) + f'Invalid instance type {self._instance_type!r} ' + f'for cloud {self.cloud}.') else: # If cloud not specified valid_clouds = [] @@ -686,24 +669,22 @@ class Resources: valid_clouds.append(cloud) if len(valid_clouds) == 0: if len(enabled_clouds) == 1: - cloud_str = f"for cloud {enabled_clouds[0]}" + cloud_str = f'for cloud {enabled_clouds[0]}' else: - cloud_str = f"for any cloud among {enabled_clouds}" + cloud_str = f'for any cloud among {enabled_clouds}' with ux_utils.print_exception_no_traceback(): raise ValueError( - f"Invalid instance type {self._instance_type!r} " - f"{cloud_str}." - ) + f'Invalid instance type {self._instance_type!r} ' + f'{cloud_str}.') if len(valid_clouds) > 1: with ux_utils.print_exception_no_traceback(): raise ValueError( - f"Ambiguous instance type {self._instance_type!r}. " - f"Please specify cloud explicitly among {valid_clouds}." + f'Ambiguous instance type {self._instance_type!r}. ' + f'Please specify cloud explicitly among {valid_clouds}.' ) logger.debug( - f"Cloud is not specified, using {valid_clouds[0]} " - f"inferred from the instance_type {self.instance_type!r}." - ) + f'Cloud is not specified, using {valid_clouds[0]} ' + f'inferred from the instance_type {self.instance_type!r}.') self._cloud = valid_clouds[0] def _try_validate_cpus_mem(self) -> None: @@ -715,39 +696,36 @@ class Resources: # The _try_validate_instance_type() method infers and sets # self.cloud if self.instance_type is not None. assert self.cloud is not None - cpus, mem = self.cloud.get_vcpus_mem_from_instance_type(self.instance_type) + cpus, mem = self.cloud.get_vcpus_mem_from_instance_type( + self.instance_type) if self.cpus is not None: - if self.cpus.endswith("+"): + if self.cpus.endswith('+'): if cpus < float(self.cpus[:-1]): with ux_utils.print_exception_no_traceback(): raise ValueError( - f"{self.instance_type} does not have enough " - f"vCPUs. {self.instance_type} has {cpus} " - f"vCPUs, but {self.cpus} is requested." - ) + f'{self.instance_type} does not have enough ' + f'vCPUs. {self.instance_type} has {cpus} ' + f'vCPUs, but {self.cpus} is requested.') elif cpus != float(self.cpus): with ux_utils.print_exception_no_traceback(): raise ValueError( - f"{self.instance_type} does not have the requested " - f"number of vCPUs. {self.instance_type} has {cpus} " - f"vCPUs, but {self.cpus} is requested." - ) + f'{self.instance_type} does not have the requested ' + f'number of vCPUs. {self.instance_type} has {cpus} ' + f'vCPUs, but {self.cpus} is requested.') if self.memory is not None: - if self.memory.endswith("+"): + if self.memory.endswith('+'): if mem < float(self.memory[:-1]): with ux_utils.print_exception_no_traceback(): raise ValueError( - f"{self.instance_type} does not have enough " - f"memory. {self.instance_type} has {mem} GB " - f"memory, but {self.memory} is requested." - ) + f'{self.instance_type} does not have enough ' + f'memory. {self.instance_type} has {mem} GB ' + f'memory, but {self.memory} is requested.') elif mem != float(self.memory): with ux_utils.print_exception_no_traceback(): raise ValueError( - f"{self.instance_type} does not have the requested " - f"memory. {self.instance_type} has {mem} GB " - f"memory, but {self.memory} is requested." - ) + f'{self.instance_type} does not have the requested ' + f'memory. {self.instance_type} has {mem} GB ' + f'memory, but {self.memory} is requested.') def _try_validate_spot(self) -> None: if self._spot_recovery is None: @@ -755,46 +733,41 @@ class Resources: if not self._use_spot: with ux_utils.print_exception_no_traceback(): raise ValueError( - "Cannot specify spot_recovery without use_spot set to True." + 'Cannot specify spot_recovery without use_spot set to True.' ) if self._spot_recovery not in spot.SPOT_STRATEGIES: with ux_utils.print_exception_no_traceback(): raise ValueError( - f"Spot recovery strategy {self._spot_recovery} " - "is not supported. The strategy should be among " - f"{list(spot.SPOT_STRATEGIES.keys())}" - ) + f'Spot recovery strategy {self._spot_recovery} ' + 'is not supported. The strategy should be among ' + f'{list(spot.SPOT_STRATEGIES.keys())}') def _try_validate_local(self) -> None: if isinstance(self._cloud, clouds.Local): if self._use_spot: with ux_utils.print_exception_no_traceback(): - raise ValueError( - "Local/On-prem mode does not support spot " "instances." - ) + raise ValueError('Local/On-prem mode does not support spot ' + 'instances.') local_instance = clouds.Local.get_default_instance_type() - if ( - self._instance_type is not None - and self._instance_type != local_instance - ): + if (self._instance_type is not None and + self._instance_type != local_instance): with ux_utils.print_exception_no_traceback(): raise ValueError( - "Local/On-prem mode does not support instance type:" - f" {self._instance_type}." - ) + 'Local/On-prem mode does not support instance type:' + f' {self._instance_type}.') if self._image_id is not None: with ux_utils.print_exception_no_traceback(): raise ValueError( - "Local/On-prem mode does not support custom " "images." - ) + 'Local/On-prem mode does not support custom ' + 'images.') def extract_docker_image(self) -> Optional[str]: if self.image_id is None: return None if len(self.image_id) == 1 and self.region in self.image_id: image_id = self.image_id[self.region] - if image_id.startswith("docker:"): - return image_id[len("docker:") :] + if image_id.startswith('docker:'): + return image_id[len('docker:'):] return None def _try_validate_image_id(self) -> None: @@ -805,66 +778,56 @@ class Resources: # TODO(tian): validate the docker image exists / of reasonable size if self.accelerators is not None: for acc in self.accelerators.keys(): - if acc.lower().startswith("tpu"): + if acc.lower().startswith('tpu'): with ux_utils.print_exception_no_traceback(): raise ValueError( - "Docker image is not supported for TPU VM." - ) + 'Docker image is not supported for TPU VM.') if self.cloud is not None: self.cloud.check_features_are_supported( - {clouds.CloudImplementationFeatures.DOCKER_IMAGE} - ) + {clouds.CloudImplementationFeatures.DOCKER_IMAGE}) return if self.cloud is None: with ux_utils.print_exception_no_traceback(): - raise ValueError("Cloud must be specified when image_id is provided.") + raise ValueError( + 'Cloud must be specified when image_id is provided.') # Apr, 2023 by Hysun([email protected]): Added support for OCI - if ( - not self._cloud.is_same_cloud(clouds.AWS()) - and not self._cloud.is_same_cloud(clouds.GCP()) - and not self._cloud.is_same_cloud(clouds.IBM()) - and not self._cloud.is_same_cloud(clouds.OCI()) - ): + if not self._cloud.is_same_cloud( + clouds.AWS()) and not self._cloud.is_same_cloud( + clouds.GCP()) and not self._cloud.is_same_cloud( + clouds.IBM()) and not self._cloud.is_same_cloud( + clouds.OCI()): with ux_utils.print_exception_no_traceback(): raise ValueError( - "image_id is only supported for AWS/GCP/IBM/OCI, please " - "explicitly specify the cloud." - ) + 'image_id is only supported for AWS/GCP/IBM/OCI, please ' + 'explicitly specify the cloud.') if self._region is not None: if self._region not in self._image_id: with ux_utils.print_exception_no_traceback(): raise ValueError( - f"image_id {self._image_id} should contain the image " - f"for the specified region {self._region}." - ) + f'image_id {self._image_id} should contain the image ' + f'for the specified region {self._region}.') # Narrow down the image_id to the specified region. self._image_id = {self._region: self._image_id[self._region]} # Check the image_id's are valid. for region, image_id in self._image_id.items(): - if image_id.startswith("skypilot:") and not self._cloud.is_image_tag_valid( - image_id, region - ): - region_str = f" ({region})" if region else "" + if (image_id.startswith('skypilot:') and + not self._cloud.is_image_tag_valid(image_id, region)): + region_str = f' ({region})' if region else '' with ux_utils.print_exception_no_traceback(): raise ValueError( - f"Image tag {image_id!r} is not valid, please make sure" - f" the tag exists in {self._cloud}{region_str}." - ) + f'Image tag {image_id!r} is not valid, please make sure' + f' the tag exists in {self._cloud}{region_str}.') - if ( - self._cloud.is_same_cloud(clouds.AWS()) - and not image_id.startswith("skypilot:") - and region is None - ): + if (self._cloud.is_same_cloud(clouds.AWS()) and + not image_id.startswith('skypilot:') and region is None): with ux_utils.print_exception_no_traceback(): raise ValueError( - "image_id is only supported for AWS in a specific " - "region, please explicitly specify the region." - ) + 'image_id is only supported for AWS in a specific ' + 'region, please explicitly specify the region.') # Validate the image exists and the size is smaller than the disk size. for region, image_id in self._image_id.items(): @@ -873,41 +836,40 @@ class Resources: image_size = self.cloud.get_image_size(image_id, region) if image_size >= self.disk_size: with ux_utils.print_exception_no_traceback(): - size_comparison = ( - "larger" if image_size > self.disk_size else "equal" - ) + size_compare = 'larger than' if image_size > self.disk_size \ + else 'equal to' raise ValueError( - f"Image {image_id!r} is {image_size}GB, which is " - f"{size_comparison} than the specified disk_size: {self.disk_size}" - " GB. Please specify a larger disk_size to use this image." - ) + f'Image {image_id!r} is {image_size}GB, which is ' + f'{size_compare} the specified disk_size: ' + f'{self.disk_size} GB. Please specify a larger ' + 'disk_size to use this image.') def _try_validate_disk_tier(self) -> None: if self.disk_tier is None: return - if self.disk_tier not in ["high", "medium", "low"]: + if self.disk_tier not in ['high', 'medium', 'low']: with ux_utils.print_exception_no_traceback(): raise ValueError( - f"Invalid disk_tier {self.disk_tier}. " - 'Please use one of "high", "medium", or "low".' - ) + f'Invalid disk_tier {self.disk_tier}. ' + 'Please use one of "high", "medium", or "low".') if self.instance_type is None: return if self.cloud is not None: - self.cloud.check_disk_tier_enabled(self.instance_type, self.disk_tier) + self.cloud.check_disk_tier_enabled(self.instance_type, + self.disk_tier) def _try_validate_ports(self) -> None: if self.ports is None: return - if skypilot_config.get_nested(("aws", "security_group_name"), None) is not None: + if skypilot_config.get_nested(('aws', 'security_group_name'), + None) is not None: with ux_utils.print_exception_no_traceback(): raise ValueError( - "Cannot specify ports when AWS security group name is " "specified." - ) + 'Cannot specify ports when AWS security group name is ' + 'specified.') if self.cloud is not None: self.cloud.check_features_are_supported( - {clouds.CloudImplementationFeatures.OPEN_PORTS} - ) + {clouds.CloudImplementationFeatures.OPEN_PORTS}) # We don't need to check the ports format since we already done it # in resources_utils.simplify_ports @@ -916,21 +878,16 @@ class Resources: hours = seconds / 3600 # Instance. hourly_cost = self.cloud.instance_type_to_hourly_cost( - self._instance_type, self.use_spot, self._region, self._zone - ) + self._instance_type, self.use_spot, self._region, self._zone) # Accelerators (if any). if self.accelerators is not None: hourly_cost += self.cloud.accelerators_to_hourly_cost( - self.accelerators, self.use_spot, self._region, self._zone - ) + self.accelerators, self.use_spot, self._region, self._zone) return hourly_cost * hours def make_deploy_variables( - self, - cluster_name_on_cloud: str, - region: clouds.Region, - zones: Optional[List[clouds.Zone]], - ) -> Dict[str, Optional[str]]: + self, cluster_name_on_cloud: str, region: clouds.Region, + zones: Optional[List[clouds.Zone]]) -> Dict[str, Optional[str]]: """Converts planned sky.Resources to resource variables. These variables are divided into two categories: cloud-specific and @@ -939,8 +896,7 @@ class Resources: variables are generated by this method. """ cloud_specific_variables = self.cloud.make_deploy_resources_variables( - self, cluster_name_on_cloud, region, zones - ) + self, cluster_name_on_cloud, region, zones) docker_image = self.extract_docker_image() return dict( cloud_specific_variables, @@ -948,19 +904,18 @@ class Resources: # Docker config # Docker image. The image name used to pull the image, e.g. # ubuntu:latest. - "docker_image": docker_image, + 'docker_image': docker_image, # Docker container name. The name of the container. Default to # `sky_container`. - "docker_container_name": constants.DEFAULT_DOCKER_CONTAINER_NAME, + 'docker_container_name': + constants.DEFAULT_DOCKER_CONTAINER_NAME, # Docker login config (if any). This helps pull the image from # private registries. - "docker_login_config": self._docker_login_config, - }, - ) + 'docker_login_config': self._docker_login_config + }) def get_reservations_available_resources( - self, specific_reservations: Set[str] - ) -> Dict[str, int]: + self, specific_reservations: Set[str]) -> Dict[str, int]: """Returns the number of available reservation resources.""" if self.use_spot: # GCP's & AWS's reservations do not support spot instances. We @@ -968,12 +923,12 @@ class Resources: # to each cloud if any cloud supports reservations for spot. return {} return self.cloud.get_reservations_available_resources( - self._instance_type, self._region, self._zone, specific_reservations - ) + self._instance_type, self._region, self._zone, + specific_reservations) def less_demanding_than( self, - other: Union[List["Resources"], "Resources"], + other: Union[List['Resources'], 'Resources'], requested_num_nodes: int = 1, check_ports: bool = False, ) -> bool: @@ -1009,17 +964,15 @@ class Resources: if not self.image_id.items() <= other.image_id.items(): return False else: - this_image = self.image_id.get(other.region) or self.image_id.get(None) - other_image = other.image_id.get(other.region) or other.image_id.get( - None - ) + this_image = (self.image_id.get(other.region) or + self.image_id.get(None)) + other_image = (other.image_id.get(other.region) or + other.image_id.get(None)) if this_image != other_image: return False - if ( - self._instance_type is not None - and self._instance_type != other.instance_type - ): + if (self._instance_type is not None and + self._instance_type != other.instance_type): return False # self._instance_type <= other.instance_type @@ -1034,10 +987,8 @@ class Resources: return False # self.accelerators <= other.accelerators - if ( - self.accelerator_args is not None - and self.accelerator_args != other.accelerator_args - ): + if (self.accelerator_args is not None and + self.accelerator_args != other.accelerator_args): return False # self.accelerator_args == other.accelerator_args @@ -1048,8 +999,9 @@ class Resources: if other.disk_tier is None: return False if self.disk_tier != other.disk_tier: - types = ["low", "medium", "high"] - return types.index(self.disk_tier) < types.index(other.disk_tier) + types = ['low', 'medium', 'high'] + return types.index(self.disk_tier) < types.index( + other.disk_tier) if check_ports: if self.ports is not None: @@ -1063,72 +1015,68 @@ class Resources: # self <= other return True - def should_be_blocked_by(self, blocked: "Resources") -> bool: + def should_be_blocked_by(self, blocked: 'Resources') -> bool: """Whether this Resources matches the blocked Resources. If a field in `blocked` is None, it should be considered as a wildcard for that field. """ is_matched = True - if blocked.cloud is not None and not self.cloud.is_same_cloud(blocked.cloud): + if (blocked.cloud is not None and + not self.cloud.is_same_cloud(blocked.cloud)): is_matched = False - if ( - blocked.instance_type is not None - and self.instance_type != blocked.instance_type - ): + if (blocked.instance_type is not None and + self.instance_type != blocked.instance_type): is_matched = False if blocked.region is not None and self._region != blocked.region: is_matched = False if blocked.zone is not None and self._zone != blocked.zone: is_matched = False - if ( - blocked.accelerators is not None - and self.accelerators != blocked.accelerators - ): + if (blocked.accelerators is not None and + self.accelerators != blocked.accelerators): is_matched = False return is_matched def is_empty(self) -> bool: """Is this Resources an empty request (all fields None)?""" - return all( - [ - self.cloud is None, - self._instance_type is None, - self.cpus is None, - self.memory is None, - self.accelerators is None, - self.accelerator_args is None, - not self._use_spot_specified, - self.disk_size == _DEFAULT_DISK_SIZE_GB, - self.disk_tier is None, - self._image_id is None, - self.ports is None, - self._docker_login_config is None, - ] - ) - - def copy(self, override) -> "Resources": + return all([ + self.cloud is None, + self._instance_type is None, + self.cpus is None, + self.memory is None, + self.accelerators is None, + self.accelerator_args is None, + not self._use_spot_specified, + self.disk_size == _DEFAULT_DISK_SIZE_GB, + self.disk_tier is None, + self._image_id is None, + self.ports is None, + self._docker_login_config is None, + ]) + + def copy(self, override) -> 'Resources': """Returns a copy of the given Resources.""" use_spot = self.use_spot if self._use_spot_specified else None resources = Resources( - cloud=override.pop("cloud", self.cloud), - instance_type=override.pop("instance_type", self.instance_type), - cpus=override.pop("cpus", self.cpus), - memory=override.pop("memory", self.memory), - accelerators=override.pop("accelerators", self.accelerators), - accelerator_args=override.pop("accelerator_args", self.accelerator_args), - use_spot=override.pop("use_spot", use_spot), - spot_recovery=override.pop("spot_recovery", self.spot_recovery), - disk_size=override.pop("disk_size", self.disk_size), - region=override.pop("region", self.region), - zone=override.pop("zone", self.zone), - image_id=override.pop("image_id", self.image_id), - disk_tier=override.pop("disk_tier", self.disk_tier), - ports=override.pop("ports", self.ports), - _docker_login_config=override.pop( - "_docker_login_config", self._docker_login_config - ), - _is_image_managed=override.pop("_is_image_managed", self._is_image_managed), + cloud=override.pop('cloud', self.cloud), + instance_type=override.pop('instance_type', self.instance_type), + cpus=override.pop('cpus', self.cpus), + memory=override.pop('memory', self.memory), + accelerators=override.pop('accelerators', self.accelerators), + accelerator_args=override.pop('accelerator_args', + self.accelerator_args), + use_spot=override.pop('use_spot', use_spot), + spot_recovery=override.pop('spot_recovery', self.spot_recovery), + disk_size=override.pop('disk_size', self.disk_size), + region=override.pop('region', self.region), + zone=override.pop('zone', self.zone), + image_id=override.pop('image_id', self.image_id), + disk_tier=override.pop('disk_tier', self.disk_tier), + ports=override.pop('ports', self.ports), + _docker_login_config=override.pop('_docker_login_config', + self._docker_login_config), + _is_image_managed=override.pop('_is_image_managed', + self._is_image_managed), ) assert len(override) == 0 return resources @@ -1144,7 +1092,8 @@ class Resources: return False return True - def get_required_cloud_features(self) -> Set[clouds.CloudImplementationFeatures]: + def get_required_cloud_features( + self) -> Set[clouds.CloudImplementationFeatures]: """Returns the set of cloud features required by this Resources.""" features = set() if self.use_spot: @@ -1158,48 +1107,46 @@ class Resources: return features @classmethod - def from_yaml_config(cls, config: Optional[Dict[str, str]]) -> "Resources": + def from_yaml_config(cls, config: Optional[Dict[str, str]]) -> 'Resources': if config is None: return Resources() - common_utils.validate_schema( - config, schemas.get_resources_schema(), "Invalid resources YAML: " - ) + common_utils.validate_schema(config, schemas.get_resources_schema(), + 'Invalid resources YAML: ') resources_fields = {} - resources_fields["cloud"] = clouds.CLOUD_REGISTRY.from_str( - config.pop("cloud", None) - ) - resources_fields["instance_type"] = config.pop("instance_type", None) - resources_fields["cpus"] = config.pop("cpus", None) - resources_fields["memory"] = config.pop("memory", None) - resources_fields["accelerators"] = config.pop("accelerators", None) - resources_fields["accelerator_args"] = config.pop("accelerator_args", None) - resources_fields["use_spot"] = config.pop("use_spot", None) - resources_fields["spot_recovery"] = config.pop("spot_recovery", None) - resources_fields["disk_size"] = config.pop("disk_size", None) - resources_fields["region"] = config.pop("region", None) - resources_fields["zone"] = config.pop("zone", None) - resources_fields["image_id"] = config.pop("image_id", None) - resources_fields["disk_tier"] = config.pop("disk_tier", None) - resources_fields["ports"] = config.pop("ports", None) - resources_fields["_docker_login_config"] = config.pop( - "_docker_login_config", None - ) - resources_fields["_is_image_managed"] = config.pop("_is_image_managed", None) - - if resources_fields["cpus"] is not None: - resources_fields["cpus"] = str(resources_fields["cpus"]) - if resources_fields["memory"] is not None: - resources_fields["memory"] = str(resources_fields["memory"]) - if resources_fields["accelerator_args"] is not None: - resources_fields["accelerator_args"] = dict( - resources_fields["accelerator_args"] - ) - if resources_fields["disk_size"] is not None: - resources_fields["disk_size"] = int(resources_fields["disk_size"]) - - assert not config, f"Invalid resource args: {config.keys()}" + resources_fields['cloud'] = clouds.CLOUD_REGISTRY.from_str( + config.pop('cloud', None)) + resources_fields['instance_type'] = config.pop('instance_type', None) + resources_fields['cpus'] = config.pop('cpus', None) + resources_fields['memory'] = config.pop('memory', None) + resources_fields['accelerators'] = config.pop('accelerators', None) + resources_fields['accelerator_args'] = config.pop( + 'accelerator_args', None) + resources_fields['use_spot'] = config.pop('use_spot', None) + resources_fields['spot_recovery'] = config.pop('spot_recovery', None) + resources_fields['disk_size'] = config.pop('disk_size', None) + resources_fields['region'] = config.pop('region', None) + resources_fields['zone'] = config.pop('zone', None) + resources_fields['image_id'] = config.pop('image_id', None) + resources_fields['disk_tier'] = config.pop('disk_tier', None) + resources_fields['ports'] = config.pop('ports', None) + resources_fields['_docker_login_config'] = config.pop( + '_docker_login_config', None) + resources_fields['_is_image_managed'] = config.pop( + '_is_image_managed', None) + + if resources_fields['cpus'] is not None: + resources_fields['cpus'] = str(resources_fields['cpus']) + if resources_fields['memory'] is not None: + resources_fields['memory'] = str(resources_fields['memory']) + if resources_fields['accelerator_args'] is not None: + resources_fields['accelerator_args'] = dict( + resources_fields['accelerator_args']) + if resources_fields['disk_size'] is not None: + resources_fields['disk_size'] = int(resources_fields['disk_size']) + + assert not config, f'Invalid resource args: {config.keys()}' return Resources(**resources_fields) def to_yaml_config(self) -> Dict[str, Union[str, int]]: @@ -1207,28 +1154,28 @@ class Resources: config = {} def add_if_not_none(key, value): - if value is not None and value != "None": + if value is not None and value != 'None': config[key] = value - add_if_not_none("cloud", str(self.cloud)) - add_if_not_none("instance_type", self.instance_type) - add_if_not_none("cpus", self.cpus) - add_if_not_none("memory", self.memory) - add_if_not_none("accelerators", self.accelerators) - add_if_not_none("accelerator_args", self.accelerator_args) + add_if_not_none('cloud', str(self.cloud)) + add_if_not_none('instance_type', self.instance_type) + add_if_not_none('cpus', self.cpus) + add_if_not_none('memory', self.memory) + add_if_not_none('accelerators', self.accelerators) + add_if_not_none('accelerator_args', self.accelerator_args) if self._use_spot_specified: - add_if_not_none("use_spot", self.use_spot) - config["spot_recovery"] = self.spot_recovery - config["disk_size"] = self.disk_size - add_if_not_none("region", self.region) - add_if_not_none("zone", self.zone) - add_if_not_none("image_id", self.image_id) - add_if_not_none("disk_tier", self.disk_tier) - add_if_not_none("ports", self.ports) - add_if_not_none("_docker_login_config", self._docker_login_config) + add_if_not_none('use_spot', self.use_spot) + config['spot_recovery'] = self.spot_recovery + config['disk_size'] = self.disk_size + add_if_not_none('region', self.region) + add_if_not_none('zone', self.zone) + add_if_not_none('image_id', self.image_id) + add_if_not_none('disk_tier', self.disk_tier) + add_if_not_none('ports', self.ports) + add_if_not_none('_docker_login_config', self._docker_login_config) if self._is_image_managed is not None: - config["_is_image_managed"] = self._is_image_managed + config['_is_image_managed'] = self._is_image_managed return config def __setstate__(self, state): @@ -1237,25 +1184,25 @@ class Resources: # TODO (zhwu): Design our persistent state format with `__getstate__`, # so that to get rid of the version tracking. - version = state.pop("_version", None) + version = state.pop('_version', None) # Handle old version(s) here. if version is None: version = -1 if version < 0: - cloud = state.pop("cloud", None) - state["_cloud"] = cloud + cloud = state.pop('cloud', None) + state['_cloud'] = cloud - instance_type = state.pop("instance_type", None) - state["_instance_type"] = instance_type + instance_type = state.pop('instance_type', None) + state['_instance_type'] = instance_type - use_spot = state.pop("use_spot", False) - state["_use_spot"] = use_spot + use_spot = state.pop('use_spot', False) + state['_use_spot'] = use_spot - accelerator_args = state.pop("accelerator_args", None) - state["_accelerator_args"] = accelerator_args + accelerator_args = state.pop('accelerator_args', None) + state['_accelerator_args'] = accelerator_args - disk_size = state.pop("disk_size", _DEFAULT_DISK_SIZE_GB) - state["_disk_size"] = disk_size + disk_size = state.pop('disk_size', _DEFAULT_DISK_SIZE_GB) + state['_disk_size'] = disk_size if version < 2: self._region = None @@ -1270,13 +1217,13 @@ class Resources: self._zone = None if version < 6: - accelerators = state.pop("_accelerators", None) + accelerators = state.pop('_accelerators', None) if accelerators is not None: accelerators = { - accelerator_registry.canonicalize_accelerator_name(acc): acc_count - for acc, acc_count in accelerators.items() + accelerator_registry.canonicalize_accelerator_name(acc): + acc_count for acc, acc_count in accelerators.items() } - state["_accelerators"] = accelerators + state['_accelerators'] = accelerators if version < 7: self._cpus = None @@ -1284,9 +1231,9 @@ class Resources: if version < 8: self._memory = None - image_id = state.get("_image_id", None) + image_id = state.get('_image_id', None) if isinstance(image_id, str): - state["_image_id"] = {state.get("_region", None): image_id} + state['_image_id'] = {state.get('_region', None): image_id} if version < 9: self._disk_tier = None @@ -1301,10 +1248,9 @@ class Resources: self._docker_login_config = None if version < 13: - original_ports = state.get("_ports", None) + original_ports = state.get('_ports', None) if original_ports is not None: - state["_ports"] = resources_utils.simplify_ports( - [str(port) for port in original_ports] - ) + state['_ports'] = resources_utils.simplify_ports( + [str(port) for port in original_ports]) self.__dict__.update(state)	0	[ "sky/resources.py" ]	https://github.com/skypilot-org/skypilot/tree/cced5b5d68a3fe1a02d8ac1186e9d12b6c75dc8d	2023-11-07T23:13:33Z
Python	34	skypilot-org	skypilot	continuous-sync-alpha-1	format	format.yml	.github/workflows/format.yml	landscapepainter	edaf59b69f96acdf155c4514061ea648ea6df122	8e88eeea59eb9cb2e877a4bdcf6cd5dab15b78c8	name: format on: # Trigger the workflow on push or pull request, # but only for the main branch push: branches: - master - 'releases/' pull_request: branches: - master - 'releases/' jobs: format: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: matrix: python-version: ["3.8"] steps: - uses: actions/checkout@v3 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: Install dependencies run: \| python -m pip install --upgrade pip pip install yapf==0.32.0 pip install toml==0.10.2 pip install black==22.10.0 pip install isort==5.12.0 - name: Running yapf run: \| yapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/' \ --exclude 'sky/skylet/providers/aws/' \ --exclude 'sky/skylet/providers/gcp/' \ --exclude 'sky/skylet/providers/azure/' \ --exclude 'sky/skylet/providers/ibm/' - name: Running black run: \| black --diff --check sky/skylet/providers/aws/ \ sky/skylet/providers/gcp/ \ sky/skylet/providers/azure/ \ sky/skylet/providers/ibm/ - name: Running isort for black formatted files run: \| isort --diff --check --profile black -l 88 -m 3 \ sky/skylet/providers/ibm/ - name: Running isort for yapf formatted files run: \| isort --diff --check ./ --sg 'sky/skylet/ray_patches/' \ --sg 'sky/skylet/providers/aws/' \ --sg 'sky/skylet/providers/gcp/' \ --sg 'sky/skylet/providers/azure/' \ --sg 'sky/skylet/providers/ibm/' env: PIP_INDEX_URL: http://localhost:8629/2023-11-09 UV_INDEX_URL: http://localhost:8629/2023-11-09	[ { "step_name": "format (3.8)/5_Running yapf.txt", "log": "##[group]Run yapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/' \\\n\u001b[36;1myapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/aws/' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/gcp/' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/azure/' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/ibm/'\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n--- ./sky/data/storage.py\t(original)\n+++ ./sky/data/storage.py\t(reformatted)\n@@ -819,7 +819,7 @@\n source = override_args.get('source', metadata.source)\n name = override_args.get('name', metadata.storage_name)\n # If the source is a list, it consists of local paths\n- if not isinstance(source, list): \n+ if not isinstance(source, list):\n if data_utils.is_cloud_store_url(source):\n name = None\n \n##[error]Process completed with exit code 1.\n" } ]	diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index 8a93b58c..08bc7ffb 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -4557,14 +4557,15 @@ class CloudVmRayBackend(backends.Backend['CloudVmRayResourceHandle']): end = time.time() logger.debug(f'File mount sync took {end - start} seconds.') - def _execute_storage_mounts(self, handle: CloudVmRayResourceHandle, - storage_mounts: Dict[Path, storage_lib.Storage], - mount_mode: storage_utils.StorageMode): + def _execute_storage_mounts( + self, handle: CloudVmRayResourceHandle, + storage_mounts: Optional[Dict[Path, storage_lib.Storage]], + mount_mode: storage_utils.StorageMode): """Executes storage mounts: installing mounting tools and mounting.""" # Handle cases where `storage_mounts` is None. This occurs when users # initiate a 'sky start' command from a Skypilot version that predates # the introduction of the `storage_mounts_metadata` feature. - if not storage_mounts: + if storage_mounts is None: return # Process only mount mode objects here. COPY mode objects have been @@ -4674,7 +4675,7 @@ class CloudVmRayBackend(backends.Backend['CloudVmRayResourceHandle']): def _has_csync(self, cluster_name: str) -> bool: """Chekcs if there are CSYNC mode storages within the cluster.""" - storage_mounts = self._get_storage_mounts_metadata(cluster_name) + storage_mounts = self.get_storage_mounts_metadata(cluster_name) if storage_mounts is not None: for _, storage_obj in storage_mounts.items(): if storage_obj.mode == storage_utils.StorageMode.CSYNC: diff --git a/sky/data/sky_csync.py b/sky/data/sky_csync.py index c0d521ff..c6c3f981 100644 --- a/sky/data/sky_csync.py +++ b/sky/data/sky_csync.py @@ -251,7 +251,7 @@ def csync(source: str, storetype: str, destination: str, num_threads: int, """Runs daemon to sync the source to the bucket every INTERVAL seconds. Creates an entry of pid of the sync process in local database while sync - command is runninng and removes it when completed. + command is running and removes it when completed. Args: source (str): The local path to the directory that you want to sync. diff --git a/sky/data/storage.py b/sky/data/storage.py index dea9b906..3f7c205f 100644 --- a/sky/data/storage.py +++ b/sky/data/storage.py @@ -819,7 +819,7 @@ class Storage(object): source = override_args.get('source', metadata.source) name = override_args.get('name', metadata.storage_name) # If the source is a list, it consists of local paths - if not isinstance(source, list): + if not isinstance(source, list): if data_utils.is_cloud_store_url(source): name = None	0	[ "sky/backends/cloud_vm_ray_backend.py", "sky/data/sky_csync.py", "sky/data/storage.py" ]	https://github.com/skypilot-org/skypilot/tree/edaf59b69f96acdf155c4514061ea648ea6df122	2023-11-09T06:59:57Z
Python	35	skypilot-org	skypilot	master	Pylint	pylint.yml	.github/workflows/pylint.yml	jackyk02	b639adb71066410b3b12d97a674ee7fcb51e9980	a1934063075cb08f0a0041a73026d8ea803617b3	name: Pylint on: # Trigger the workflow on push or pull request, # but only for the main branch push: branches: - master - 'releases/' pull_request: branches: - master - 'releases/' jobs: pylint: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: matrix: python-version: ["3.8"] steps: - uses: actions/checkout@v3 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: Install dependencies run: \| python -m pip install --upgrade pip pip install ".[all]" pip install pylint==2.8.2 pip install pylint-quotes==0.2.3 - name: Analysing the code with pylint run: \| pylint --load-plugins pylint_quotes sky env: PIP_INDEX_URL: http://localhost:8629/2023-11-07 UV_INDEX_URL: http://localhost:8629/2023-11-07	[ { "step_name": "pylint (3.8)/5_Analysing the code with pylint.txt", "log": "##[group]Run pylint --load-plugins pylint_quotes sky\n\u001b[36;1mpylint --load-plugins pylint_quotes sky\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n************* Module sky.resources\nsky/resources.py:839:0: C0301: Line too long (81/80) (line-too-long)\n\n------------------------------------\nYour code has been rated at 10.00/10\n\n##[error]Process completed with exit code 16.\n" } ]	diff --git a/sky/resources.py b/sky/resources.py index 2f7aebce..3056e104 100644 --- a/sky/resources.py +++ b/sky/resources.py @@ -836,11 +836,11 @@ class Resources: image_size = self.cloud.get_image_size(image_id, region) if image_size >= self.disk_size: with ux_utils.print_exception_no_traceback(): - size_compare = 'larger than' if image_size > self.disk_size \ + size_comp = 'larger than' if image_size > self.disk_size \ else 'equal to' raise ValueError( f'Image {image_id!r} is {image_size}GB, which is ' - f'{size_compare} the specified disk_size: ' + f'{size_comp} the specified disk_size: ' f'{self.disk_size} GB. Please specify a larger ' 'disk_size to use this image.')	0	[ "sky/resources.py" ]	https://github.com/skypilot-org/skypilot/tree/b639adb71066410b3b12d97a674ee7fcb51e9980	2023-11-07T23:36:12Z
Python	36	skypilot-org	skypilot	update-docs-dependency	format	format.yml	.github/workflows/format.yml	skypilot-org	d2f64daf7608d00cb7a8659cfd1dee42c54bb12c	29ddb92665e22538e0e50c17c250d9a07581a85d	name: format on: # Trigger the workflow on push or pull request, # but only for the main branch push: branches: - master - 'releases/' pull_request: branches: - master - 'releases/' jobs: format: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: matrix: python-version: ["3.8"] steps: - uses: actions/checkout@v3 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: Install dependencies run: \| python -m pip install --upgrade pip pip install yapf==0.32.0 pip install toml==0.10.2 pip install black==22.10.0 pip install isort==5.12.0 - name: Running yapf run: \| yapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/' \ --exclude 'sky/skylet/providers/gcp/' \ --exclude 'sky/skylet/providers/azure/' \ --exclude 'sky/skylet/providers/ibm/' - name: Running black run: \| black --diff --check sky/skylet/providers/gcp/ \ sky/skylet/providers/azure/ \ sky/skylet/providers/ibm/ - name: Running isort for black formatted files run: \| isort --diff --check --profile black -l 88 -m 3 \ sky/skylet/providers/ibm/ - name: Running isort for yapf formatted files run: \| isort --diff --check ./ --sg 'sky/skylet/ray_patches/' \ --sg 'sky/skylet/providers/gcp/' \ --sg 'sky/skylet/providers/azure/' \ --sg 'sky/skylet/providers/ibm/' env: PIP_INDEX_URL: http://localhost:8629/2024-01-22 UV_INDEX_URL: http://localhost:8629/2024-01-22	[ { "step_name": "format (3.8)/5_Running yapf.txt", "log": "##[group]Run yapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/' \\\n\u001b[36;1myapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/gcp/' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/azure/' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/ibm/**'\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n--- ./docs/source/conf.py\t(original)\n+++ ./docs/source/conf.py\t(reformatted)\n@@ -94,7 +94,6 @@\n # of the sidebar.\n html_logo = '_static/SkyPilot_wide_light.svg'\n \n-\n # The name of an image file (within the static path) to use as favicon of the\n # docs. This file should be a Windows icon file (.ico), 16x16 or 32x32 pixels.\n html_favicon = '_static/favicon.ico'\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/docs/source/conf.py b/docs/source/conf.py index 204ed7c1..9a597c5c 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -94,7 +94,6 @@ html_show_sourcelink = False # of the sidebar. html_logo = '_static/SkyPilot_wide_light.svg' - # The name of an image file (within the static path) to use as favicon of the # docs. This file should be a Windows icon file (.ico), 16x16 or 32x32 pixels. html_favicon = '_static/favicon.ico'	0	[ "docs/source/conf.py" ]	https://github.com/skypilot-org/skypilot/tree/d2f64daf7608d00cb7a8659cfd1dee42c54bb12c	2024-01-22T00:17:03Z
Python	37	skypilot-org	skypilot	master	format	format.yml	.github/workflows/format.yml	jackyk02	c3f4fe9eefdb297183b6d51bfc305e40feeec358	9cce23f0c62739e41b45abafccc619962de6db64	name: format on: # Trigger the workflow on push or pull request, # but only for the main branch push: branches: - master - 'releases/' pull_request: branches: - master - 'releases/' jobs: format: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: matrix: python-version: ["3.8"] steps: - uses: actions/checkout@v3 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: Install dependencies run: \| python -m pip install --upgrade pip pip install yapf==0.32.0 pip install toml==0.10.2 pip install black==22.10.0 pip install isort==5.12.0 - name: Running yapf run: \| yapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/' \ --exclude 'sky/skylet/providers/aws/' \ --exclude 'sky/skylet/providers/gcp/' \ --exclude 'sky/skylet/providers/azure/' \ --exclude 'sky/skylet/providers/ibm/' - name: Running black run: \| black --diff --check sky/skylet/providers/aws/ \ sky/skylet/providers/gcp/ \ sky/skylet/providers/azure/ \ sky/skylet/providers/ibm/ - name: Running isort for black formatted files run: \| isort --diff --check --profile black -l 88 -m 3 \ sky/skylet/providers/ibm/ - name: Running isort for yapf formatted files run: \| isort --diff --check ./ --sg 'sky/skylet/ray_patches/' \ --sg 'sky/skylet/providers/aws/' \ --sg 'sky/skylet/providers/gcp/' \ --sg 'sky/skylet/providers/azure/' \ --sg 'sky/skylet/providers/ibm/' env: PIP_INDEX_URL: http://localhost:8629/2023-11-08 UV_INDEX_URL: http://localhost:8629/2023-11-08	[ { "step_name": "format (3.8)/5_Running yapf.txt", "log": "##[group]Run yapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/' \\\n\u001b[36;1myapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/aws/' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/gcp/' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/azure/' \\\u001b[0m\n\u001b[36;1m --exclude 'sky/skylet/providers/ibm/'\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n--- ./sky/resources.py\t(original)\n+++ ./sky/resources.py\t(reformatted)\n@@ -836,8 +836,8 @@\n image_size = self.cloud.get_image_size(image_id, region)\n if image_size >= self.disk_size:\n with ux_utils.print_exception_no_traceback():\n- size_comp = ('larger than' if image_size > self.disk_size\n- else 'equal to')\n+ size_comp = ('larger than'\n+ if image_size > self.disk_size else 'equal to')\n raise ValueError(\n f'Image {image_id!r} is {image_size}GB, which is '\n f'{size_comp} the specified disk_size: '\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/sky/resources.py b/sky/resources.py index b965401b..01cb9cce 100644 --- a/sky/resources.py +++ b/sky/resources.py @@ -836,8 +836,8 @@ class Resources: image_size = self.cloud.get_image_size(image_id, region) if image_size >= self.disk_size: with ux_utils.print_exception_no_traceback(): - size_comp = ('larger than' if image_size > self.disk_size - else 'equal to') + size_comp = ('larger than' + if image_size > self.disk_size else 'equal to') raise ValueError( f'Image {image_id!r} is {image_size}GB, which is ' f'{size_comp} the specified disk_size: '	0	[ "sky/resources.py" ]	https://github.com/skypilot-org/skypilot/tree/c3f4fe9eefdb297183b6d51bfc305e40feeec358	2023-11-08T19:28:09Z
Python	38	beetbox	beets	master	Check code formatting	formatting_check.yml	.github/workflows/formatting_check.yml	niacdoial	0d26cc1482ff5080ec579b17b29f22657a20c562	828c6e7dbd1a1fe77b4b7be61aa2e3d220ff86d1	name: formatting_check run-name: Check code formatting on: [push, pull_request] jobs: formatting_check: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: Install dependencies uses: actions/checkout@v3 - name: Run formatting check uses: paolorechia/[email protected] with: tox_env: "format_check" env: PIP_INDEX_URL: http://localhost:8629/2023-12-23 UV_INDEX_URL: http://localhost:8629/2023-12-23	[ { "step_name": "formatting_check/3_Run formatting check.txt", "log": "##[group]Run paolorechia/[email protected]\nwith:\n tox_env: format_check\n##[endgroup]\nstdout: Defaulting to user installation because normal site-packages is not writeable\n\nstdout: Collecting tox\n\nstdout: Downloading tox-4.11.4-py3-none-any.whl (153 kB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 154.0/154.0 KB 4.1 MB/s eta 0:00:00\nstdout: \n\nstdout: Requirement already satisfied: platformdirs>=3.10 in /usr/local/lib/python3.10/dist-packages (from tox) (4.1.0)\n\nstdout: Collecting pluggy>=1.3\n\nstdout: Downloading pluggy-1.3.0-py3-none-any.whl (18 kB)\n\nstdout: Collecting virtualenv>=20.24.3\n\nstdout: Downloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.8/3.8 MB 12.0 MB/s eta 0:00:00\nstdout: \n\nstdout: Collecting cachetools>=5.3.1\n\nstdout: Downloading cachetools-5.3.2-py3-none-any.whl (9.3 kB)\n\nstdout: Requirement already satisfied: packaging>=23.1 in /usr/local/lib/python3.10/dist-packages (from tox) (23.2)\n\nstdout: Requirement already satisfied: tomli>=2.0.1 in /usr/local/lib/python3.10/dist-packages (from tox) (2.0.1)\n\nstdout: Collecting filelock>=3.12.3\n\nstdout: Downloading filelock-3.13.1-py3-none-any.whl (11 kB)\n\nstdout: Collecting colorama>=0.4.6\n\nstdout: Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\n\nstdout: Collecting pyproject-api>=1.6.1\n\nstdout: Downloading pyproject_api-1.6.1-py3-none-any.whl (12 kB)\n\nstdout: Collecting chardet>=5.2\n\nstdout: Downloading chardet-5.2.0-py3-none-any.whl (199 kB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.4/199.4 KB 21.1 MB/s eta 0:00:00\nstdout: \n\nstdout: Collecting distlib<1,>=0.3.7\n\nstdout: Downloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 468.9/468.9 KB 15.4 MB/s eta 0:00:00\nstdout: \n\nstdout: Installing collected packages: distlib, pyproject-api, pluggy, filelock, colorama, chardet, cachetools, virtualenv, tox\n\nstdout: Successfully installed cachetools-5.3.2 chardet-5.2.0 colorama-0.4.6 distlib-0.3.8 filelock-3.13.1 pluggy-1.3.0 pyproject-api-1.6.1 tox-4.11.4 virtualenv-20.25.0\n\nReceived 6565789 of 6565789 (100.0%), 18.9 MBs/sec\nCache Size: ~6 MB (6565789 B)\n[command]/usr/bin/tar -z -xf /home/runner/work/_temp/d6197f94-ef69-4efe-9ad2-cb7265f9e34d/cache.tgz -P -C /home/runner/work/beets/beets\nCache restored successfully\nHit cache on tox\nstdout: format_check: recreate env because python changed virtualenv version='20.24.5'->'20.25.0'\n\nstdout: format_check: remove tox env folder /home/runner/work/beets/beets/.tox/format_check\n\nstdout: format_check: install_deps> python -I -m pip install black isort\n\nstdout: format_check: commands[0]> isort beets beetsplug test --check\n\nstderr: ERROR: /home/runner/work/beets/beets/beetsplug/edit.py Imports are incorrectly sorted and/or formatted.\n\nstdout: format_check: exit 1 (0.54 seconds) /home/runner/work/beets/beets> isort beets beetsplug test --check pid=1759\n\nstdout: format_check: FAIL code 1 (3.49=setup[2.95]+cmd[0.54] seconds)\n evaluation failed :( (3.64 seconds)\n\nchild process exited with code 1\n##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/\n##[error]Tox failed\n" } ]	diff --git a/beetsplug/advancedrewrite.py b/beetsplug/advancedrewrite.py index 639aa5247..20f2b7e03 100644 --- a/beetsplug/advancedrewrite.py +++ b/beetsplug/advancedrewrite.py @@ -161,7 +161,7 @@ class AdvancedRewritePlugin(BeetsPlugin): ) elif isinstance(replacement, str): if Item._fields[fieldname] is MULTI_VALUE_DSV: - replacement = list(replacement) + replacement = [replacement] else: raise UserError( f"Invalid type of replacement {replacement} " diff --git a/beetsplug/edit.py b/beetsplug/edit.py index 8a07fccaa..323dd9e41 100644 --- a/beetsplug/edit.py +++ b/beetsplug/edit.py @@ -23,7 +23,7 @@ from tempfile import NamedTemporaryFile import yaml -from beets import plugins, ui, util, config +from beets import plugins, ui, util from beets.dbcore import types from beets.importer import action from beets.ui.commands import PromptChoice, _do_query @@ -155,8 +155,6 @@ class EditPlugin(plugins.BeetsPlugin): } ) - self.has_shown_ui = False - self.register_listener( "before_choose_candidate", self.before_choose_candidate_listener ) @@ -238,23 +236,11 @@ class EditPlugin(plugins.BeetsPlugin): # Get the content to edit as raw data structures. old_data = [flatten(o, fields) for o in objs] - # take set fields into account - set_fields = config["import"]["set_fields"] - if set_fields and not self.has_shown_ui: - old_str = "\n\n# note: the following fields will be reset to their current values:\n" - for key in set_fields: - old_str += f"# - {key}\n" - for obj in old_data: - # those values will be enforced later anyway - obj.update({k:v.get() for k,v in set_fields.items()}) - else: - old_str = "" - # Set up a temporary file with the initial data for editing. new = NamedTemporaryFile( mode="w", suffix=".yaml", delete=False, encoding="utf-8" ) - old_str = dump(old_data) + old_str + old_str = dump(old_data) new.write(old_str) new.close() @@ -263,7 +249,6 @@ class EditPlugin(plugins.BeetsPlugin): while True: # Ask the user to edit the data. edit(new.name, self._log) - self.has_shown_ui = True # Read the data back after editing and check whether anything # changed. diff --git a/beetsplug/web/__init__.py b/beetsplug/web/__init__.py index cebb0be0a..cd7e8a3fc 100644 --- a/beetsplug/web/__init__.py +++ b/beetsplug/web/__init__.py @@ -336,7 +336,6 @@ def item_file(item_id): response = flask.send_file( item_path, as_attachment=True, download_name=safe_filename ) - response.headers["Content-Length"] = os.path.getsize(item_path) return response diff --git a/docs/changelog.rst b/docs/changelog.rst index 73cc10f3d..b3b63f1c2 100644 --- a/docs/changelog.rst +++ b/docs/changelog.rst @@ -279,6 +279,8 @@ Bug fixes: :bug:`4973` * Fix bug regarding displaying tracks that have been changed not being displayed unless the detail configuration is enabled. +* :doc:`/plugins/web`: Fix range request support, allowing to play large audio/ + opus files using e.g. a browser/firefox or gstreamer/mopidy directly. For plugin developers:	0	[ "beetsplug/advancedrewrite.py", "beetsplug/edit.py", "beetsplug/web/__init__.py", "docs/changelog.rst" ]	https://github.com/beetbox/beets/tree/0d26cc1482ff5080ec579b17b29f22657a20c562	2023-12-23T00:37:17Z
Python	39	beetbox	beets	lb	Check code formatting	formatting_check.yml	.github/workflows/formatting_check.yml	arsaboo	7440ca51fb0ff3fb94a725fcd278f7fd5ea77c04	71a6a4fb4a862b7062d538c99115b01ed4975ef9	name: formatting_check run-name: Check code formatting on: [push, pull_request] jobs: formatting_check: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: Install dependencies uses: actions/checkout@v3 - name: Run formatting check uses: paolorechia/[email protected] with: tox_env: "format_check" env: PIP_INDEX_URL: http://localhost:8629/2023-12-22 UV_INDEX_URL: http://localhost:8629/2023-12-22	[ { "step_name": "formatting_check/3_Run formatting check.txt", "log": "##[group]Run paolorechia/[email protected]\nwith:\n tox_env: format_check\n##[endgroup]\nstdout: Defaulting to user installation because normal site-packages is not writeable\n\nstdout: Collecting tox\n\nstdout: Downloading tox-4.11.4-py3-none-any.whl (153 kB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 154.0/154.0 KB 5.4 MB/s eta 0:00:00\nstdout: \n\nstdout: Collecting pyproject-api>=1.6.1\n\nstdout: Downloading pyproject_api-1.6.1-py3-none-any.whl (12 kB)\n\nstdout: Collecting cachetools>=5.3.1\n\nstdout: Downloading cachetools-5.3.2-py3-none-any.whl (9.3 kB)\n\nstdout: Collecting colorama>=0.4.6\n\nstdout: Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\n\nstdout: Collecting virtualenv>=20.24.3\n\nstdout: Downloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.8/3.8 MB 101.0 MB/s eta 0:00:00\nstdout: \n\nstdout: Requirement already satisfied: tomli>=2.0.1 in /usr/local/lib/python3.10/dist-packages (from tox) (2.0.1)\n\nstdout: Requirement already satisfied: packaging>=23.1 in /usr/local/lib/python3.10/dist-packages (from tox) (23.2)\n\nstdout: Collecting pluggy>=1.3\n\nstdout: Downloading pluggy-1.3.0-py3-none-any.whl (18 kB)\n\nstdout: Collecting chardet>=5.2\n\nstdout: Downloading chardet-5.2.0-py3-none-any.whl (199 kB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.4/199.4 KB 67.0 MB/s eta 0:00:00\nstdout: \n\nstdout: Requirement already satisfied: platformdirs>=3.10 in /usr/local/lib/python3.10/dist-packages (from tox) (4.1.0)\n\nstdout: Collecting filelock>=3.12.3\n\nstdout: Downloading filelock-3.13.1-py3-none-any.whl (11 kB)\n\nstdout: Collecting distlib<1,>=0.3.7\n\nstdout: Downloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 468.9/468.9 KB 91.0 MB/s eta 0:00:00\nstdout: \n\nstdout: Installing collected packages: distlib, pyproject-api, pluggy, filelock, colorama, chardet, cachetools, virtualenv, tox\n\nstdout: Successfully installed cachetools-5.3.2 chardet-5.2.0 colorama-0.4.6 distlib-0.3.8 filelock-3.13.1 pluggy-1.3.0 pyproject-api-1.6.1 tox-4.11.4 virtualenv-20.25.0\n\nReceived 6565789 of 6565789 (100.0%), 68.1 MBs/sec\nCache Size: ~6 MB (6565789 B)\n[command]/usr/bin/tar -z -xf /home/runner/work/_temp/08d2fe35-d4b5-4e46-8f80-f8054e4cb267/cache.tgz -P -C /home/runner/work/beets/beets\nCache restored successfully\nHit cache on tox\nstdout: format_check: recreate env because python changed virtualenv version='20.24.5'->'20.25.0'\n\nstdout: format_check: remove tox env folder /home/runner/work/beets/beets/.tox/format_check\n\nstdout: format_check: install_deps> python -I -m pip install black isort\n\nstdout: format_check: commands[0]> isort beets beetsplug test --check\n\nstdout: format_check: commands[1]> black beets beetsplug test --check\n\nstderr: would reformat /home/runner/work/beets/beets/beetsplug/listenbrainz.py\n\nstderr: \n\nstderr: Oh no! 💥 💔 💥\n1 file would be reformatted, 186 files would be left unchanged.\n\nstdout: format_check: exit 1 (4.03 seconds) /home/runner/work/beets/beets> black beets beetsplug test --check pid=1855\n\nstdout: format_check: FAIL code 1 (7.61=setup[3.02]+cmd[0.55,4.03] seconds)\n evaluation failed :( (7.66 seconds)\n\nchild process exited with code 1\n##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/\n##[error]Tox failed\n" } ]	diff --git a/beetsplug/listenbrainz.py b/beetsplug/listenbrainz.py index d7ef0d44a..945b720ef 100644 --- a/beetsplug/listenbrainz.py +++ b/beetsplug/listenbrainz.py @@ -162,7 +162,9 @@ class ListenBrainzPlugin(BeetsPlugin): ) if "week of " in title: date_str = title.split("week of ")[1].split(" ")[0] - date = datetime.datetime.strptime(date_str, "%Y-%m-%d").date() + date = datetime.datetime.strptime( + date_str, "%Y-%m-%d" + ).date() else: date = None identifier = playlist_info.get("identifier")	2	[ "beetsplug/listenbrainz.py" ]	https://github.com/beetbox/beets/tree/7440ca51fb0ff3fb94a725fcd278f7fd5ea77c04	2023-12-22T15:25:27Z
Python	40	beetbox	beets	smartplaylist-track-path-template	Check code formatting	formatting_check.yml	.github/workflows/formatting_check.yml	mgoltzsche	b94b7e71f74eb6e8c4ef7f299c24a20f5cded2f8	a7c3aea4d2a63d4882f1d2fd8e6495a78e743fcf	name: formatting_check run-name: Check code formatting on: [push, pull_request] jobs: formatting_check: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: Install dependencies uses: actions/checkout@v3 - name: Run formatting check uses: paolorechia/[email protected] with: tox_env: "format_check" env: PIP_INDEX_URL: http://localhost:8629/2023-12-15 UV_INDEX_URL: http://localhost:8629/2023-12-15	[ { "step_name": "formatting_check/3_Run formatting check.txt", "log": "##[group]Run paolorechia/[email protected]\nwith:\n tox_env: format_check\n##[endgroup]\nstdout: Defaulting to user installation because normal site-packages is not writeable\n\nstdout: Collecting tox\n\nstdout: Downloading tox-4.11.4-py3-none-any.whl (153 kB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 154.0/154.0 KB 7.5 MB/s eta 0:00:00\nstdout: \n\nstdout: Collecting colorama>=0.4.6\n\nstdout: Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\n\nstdout: Collecting pyproject-api>=1.6.1\n\nstdout: Downloading pyproject_api-1.6.1-py3-none-any.whl (12 kB)\n\nstdout: Requirement already satisfied: tomli>=2.0.1 in /usr/local/lib/python3.10/dist-packages (from tox) (2.0.1)\n\nstdout: Collecting cachetools>=5.3.1\n\nstdout: Downloading cachetools-5.3.2-py3-none-any.whl (9.3 kB)\n\nstdout: Requirement already satisfied: packaging>=23.1 in /usr/local/lib/python3.10/dist-packages (from tox) (23.2)\n\nstdout: Requirement already satisfied: platformdirs>=3.10 in /usr/local/lib/python3.10/dist-packages (from tox) (4.1.0)\n\nstdout: Collecting virtualenv>=20.24.3\n\nstdout: Downloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.8/3.8 MB 113.9 MB/s eta 0:00:00\nstdout: \n\nstdout: Collecting chardet>=5.2\n\nstdout: Downloading chardet-5.2.0-py3-none-any.whl (199 kB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.4/199.4 KB 64.6 MB/s eta 0:00:00\nstdout: \n\nstdout: Collecting pluggy>=1.3\n\nstdout: Downloading pluggy-1.3.0-py3-none-any.whl (18 kB)\n\nstdout: Collecting filelock>=3.12.3\n\nstdout: Downloading filelock-3.13.1-py3-none-any.whl (11 kB)\n\nstdout: Collecting distlib<1,>=0.3.7\n\nstdout: Downloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 468.9/468.9 KB 93.3 MB/s eta 0:00:00\nstdout: \n\nstdout: Installing collected packages: distlib, pyproject-api, pluggy, filelock, colorama, chardet, cachetools, virtualenv, tox\n\nstdout: Successfully installed cachetools-5.3.2 chardet-5.2.0 colorama-0.4.6 distlib-0.3.8 filelock-3.13.1 pluggy-1.3.0 pyproject-api-1.6.1 tox-4.11.4 virtualenv-20.25.0\n\nReceived 6565789 of 6565789 (100.0%), 54.9 MBs/sec\nCache Size: ~6 MB (6565789 B)\n[command]/usr/bin/tar -z -xf /home/runner/work/_temp/0c8d4284-0657-4faf-b272-a37c723c364c/cache.tgz -P -C /home/runner/work/beets/beets\nCache restored successfully\nHit cache on tox\nstdout: format_check: recreate env because python changed virtualenv version='20.24.5'->'20.25.0'\n\nstdout: format_check: remove tox env folder /home/runner/work/beets/beets/.tox/format_check\n\nstdout: format_check: install_deps> python -I -m pip install black isort\n\nstdout: format_check: commands[0]> isort beets beetsplug test --check\n\nstdout: format_check: commands[1]> black beets beetsplug test --check\n\nstderr: would reformat /home/runner/work/beets/beets/test/plugins/test_smartplaylist.py\n\nstderr: \n\nstderr: Oh no! 💥 💔 💥\n1 file would be reformatted, 184 files would be left unchanged.\n\nstdout: format_check: exit 1 (4.00 seconds) /home/runner/work/beets/beets> black beets beetsplug test --check pid=1908\n\nstdout: format_check: FAIL code 1 (7.58=setup[3.02]+cmd[0.55,4.00] seconds)\n evaluation failed :( (7.66 seconds)\n\nchild process exited with code 1\n##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/\n##[error]Tox failed\n" } ]	diff --git a/test/plugins/test_smartplaylist.py b/test/plugins/test_smartplaylist.py index eecf408f1..4685e1491 100644 --- a/test/plugins/test_smartplaylist.py +++ b/test/plugins/test_smartplaylist.py @@ -241,7 +241,6 @@ class SmartPlaylistTest(_common.TestCase): + b"http://beets:8337/files/tagada.mp3\n", ) - def test_playlist_update_uri_template(self): spl = SmartPlaylistPlugin() @@ -263,7 +262,8 @@ class SmartPlaylistTest(_common.TestCase): spl._matched_playlists = [pl] dir = bytestring_path(mkdtemp()) - config["smartplaylist"]["uri_template"] = "http://beets:8337/item/$id/file" + tpl = "http://beets:8337/item/$id/file" + config["smartplaylist"]["uri_template"] = tpl config["smartplaylist"]["playlist_dir"] = py3_path(dir) try: spl.update_playlists(lib)	2	[ "test/plugins/test_smartplaylist.py" ]	https://github.com/beetbox/beets/tree/b94b7e71f74eb6e8c4ef7f299c24a20f5cded2f8	2023-12-15T03:31:05Z
Python	41	beetbox	beets	lb	Check code formatting	formatting_check.yml	.github/workflows/formatting_check.yml	arsaboo	454164496177fd8b9d6aad4f106e68e816becb6c	0ed65564b30e002d7f5884e32132098542c3c7dd	name: formatting_check run-name: Check code formatting on: [push, pull_request] jobs: formatting_check: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: Install dependencies uses: actions/checkout@v3 - name: Run formatting check uses: paolorechia/[email protected] with: tox_env: "format_check" env: PIP_INDEX_URL: http://localhost:8629/2023-12-21 UV_INDEX_URL: http://localhost:8629/2023-12-21	[ { "step_name": "formatting_check/3_Run formatting check.txt", "log": "##[group]Run paolorechia/[email protected]\nwith:\n tox_env: format_check\n##[endgroup]\nstdout: Defaulting to user installation because normal site-packages is not writeable\n\nstdout: Collecting tox\n\nstdout: Downloading tox-4.11.4-py3-none-any.whl (153 kB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 154.0/154.0 KB 5.2 MB/s eta 0:00:00\nstdout: \n\nstdout: Collecting pyproject-api>=1.6.1\n\nstdout: Downloading pyproject_api-1.6.1-py3-none-any.whl (12 kB)\n\nstdout: Collecting colorama>=0.4.6\n\nstdout: Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\n\nstdout: Collecting filelock>=3.12.3\n\nstdout: Downloading filelock-3.13.1-py3-none-any.whl (11 kB)\n\nstdout: Requirement already satisfied: tomli>=2.0.1 in /usr/local/lib/python3.10/dist-packages (from tox) (2.0.1)\n\nstdout: Collecting pluggy>=1.3\n\nstdout: Downloading pluggy-1.3.0-py3-none-any.whl (18 kB)\n\nstdout: Collecting chardet>=5.2\n\nstdout: Downloading chardet-5.2.0-py3-none-any.whl (199 kB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.4/199.4 KB 9.1 MB/s eta 0:00:00\nstdout: \n\nstdout: Requirement already satisfied: packaging>=23.1 in /usr/local/lib/python3.10/dist-packages (from tox) (23.2)\n\nstdout: Collecting virtualenv>=20.24.3\n\nstdout: Downloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.8/3.8 MB 18.1 MB/s eta 0:00:00\nstdout: \n\nstdout: Collecting cachetools>=5.3.1\n\nstdout: Downloading cachetools-5.3.2-py3-none-any.whl (9.3 kB)\n\nstdout: Requirement already satisfied: platformdirs>=3.10 in /usr/local/lib/python3.10/dist-packages (from tox) (4.1.0)\n\nstdout: Collecting distlib<1,>=0.3.7\n\nstdout: Downloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 468.9/468.9 KB 30.1 MB/s eta 0:00:00\nstdout: \n\nstdout: Installing collected packages: distlib, pyproject-api, pluggy, filelock, colorama, chardet, cachetools, virtualenv, tox\n\nstdout: Successfully installed cachetools-5.3.2 chardet-5.2.0 colorama-0.4.6 distlib-0.3.8 filelock-3.13.1 pluggy-1.3.0 pyproject-api-1.6.1 tox-4.11.4 virtualenv-20.25.0\n\nReceived 6565789 of 6565789 (100.0%), 7.4 MBs/sec\nCache Size: ~6 MB (6565789 B)\n[command]/usr/bin/tar -z -xf /home/runner/work/_temp/2ecbc63f-4679-45d0-8b2e-0acac9db60db/cache.tgz -P -C /home/runner/work/beets/beets\nCache restored successfully\nHit cache on tox\nstdout: format_check: recreate env because python changed virtualenv version='20.24.5'->'20.25.0'\n\nstdout: format_check: remove tox env folder /home/runner/work/beets/beets/.tox/format_check\n\nstdout: format_check: install_deps> python -I -m pip install black isort\n\nstdout: format_check: commands[0]> isort beets beetsplug test --check\n\nstderr: ERROR: /home/runner/work/beets/beets/beetsplug/listenbrainz.py Imports are incorrectly sorted and/or formatted.\n\nstdout: format_check: exit 1 (0.57 seconds) /home/runner/work/beets/beets> isort beets beetsplug test --check pid=1921\n\nstdout: format_check: FAIL code 1 (4.17=setup[3.60]+cmd[0.57] seconds)\n evaluation failed :( (4.22 seconds)\n\nchild process exited with code 1\n##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/\n##[error]Tox failed\n" } ]	diff --git a/beetsplug/listenbrainz.py b/beetsplug/listenbrainz.py index bb5020902..a5595642f 100644 --- a/beetsplug/listenbrainz.py +++ b/beetsplug/listenbrainz.py @@ -4,13 +4,15 @@ import datetime import musicbrainzngs import requests + from beets import config, ui from beets.plugins import BeetsPlugin from beetsplug.lastimport import process_tracks class ListenBrainzPlugin(BeetsPlugin): - """ A Beets plugin for interacting with ListenBrainz.""" + """A Beets plugin for interacting with ListenBrainz.""" + data_source = "ListenBrainz" ROOT = "http://api.listenbrainz.org/1/" @@ -101,7 +103,6 @@ class ListenBrainzPlugin(BeetsPlugin): else: return None - def get_tracks_from_listens(self, listens): """Returns a list of tracks from a list of listens.""" tracks = []	0	[ "beetsplug/listenbrainz.py" ]	https://github.com/beetbox/beets/tree/454164496177fd8b9d6aad4f106e68e816becb6c	2023-12-21T16:57:14Z
Python	43	beetbox	beets	lb	Check code formatting	formatting_check.yml	.github/workflows/formatting_check.yml	arsaboo	537b57d99d10ecbcf8a9835bda18a73ee284d88f	47584f20cb63577670fa2c96b860ab7dfc8a00cf	name: formatting_check run-name: Check code formatting on: [push, pull_request] jobs: formatting_check: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: Install dependencies uses: actions/checkout@v3 - name: Run formatting check uses: paolorechia/[email protected] with: tox_env: "format_check" env: PIP_INDEX_URL: http://localhost:8629/2023-12-22 UV_INDEX_URL: http://localhost:8629/2023-12-22	[ { "step_name": "formatting_check/3_Run formatting check.txt", "log": "##[group]Run paolorechia/[email protected]\nwith:\n tox_env: format_check\n##[endgroup]\nstdout: Defaulting to user installation because normal site-packages is not writeable\n\nstdout: Collecting tox\n\nstdout: Downloading tox-4.11.4-py3-none-any.whl (153 kB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 154.0/154.0 KB 4.6 MB/s eta 0:00:00\nstdout: \n\nstdout: Collecting pyproject-api>=1.6.1\n\nstdout: Downloading pyproject_api-1.6.1-py3-none-any.whl (12 kB)\n\nstdout: Collecting cachetools>=5.3.1\n\nstdout: Downloading cachetools-5.3.2-py3-none-any.whl (9.3 kB)\n\nstdout: Requirement already satisfied: tomli>=2.0.1 in /usr/local/lib/python3.10/dist-packages (from tox) (2.0.1)\n\nstdout: Collecting pluggy>=1.3\n\nstdout: Downloading pluggy-1.3.0-py3-none-any.whl (18 kB)\n\nstdout: Collecting colorama>=0.4.6\n\nstdout: Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\n\nstdout: Collecting chardet>=5.2\n\nstdout: Downloading chardet-5.2.0-py3-none-any.whl (199 kB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.4/199.4 KB 22.3 MB/s eta 0:00:00\nstdout: \n\nstdout: Requirement already satisfied: platformdirs>=3.10 in /usr/local/lib/python3.10/dist-packages (from tox) (4.1.0)\n\nstdout: Collecting filelock>=3.12.3\n\nstdout: Downloading filelock-3.13.1-py3-none-any.whl (11 kB)\n\nstdout: Collecting virtualenv>=20.24.3\n\nstdout: Downloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.8/3.8 MB 45.9 MB/s eta 0:00:00\nstdout: \n\nstdout: Requirement already satisfied: packaging>=23.1 in /usr/local/lib/python3.10/dist-packages (from tox) (23.2)\n\nstdout: Collecting distlib<1,>=0.3.7\n\nstdout: Downloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n\nstdout: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 468.9/468.9 KB 27.6 MB/s eta 0:00:00\nstdout: \n\nstdout: Installing collected packages: distlib, pyproject-api, pluggy, filelock, colorama, chardet, cachetools, virtualenv, tox\n\nstdout: Successfully installed cachetools-5.3.2 chardet-5.2.0 colorama-0.4.6 distlib-0.3.8 filelock-3.13.1 pluggy-1.3.0 pyproject-api-1.6.1 tox-4.11.4 virtualenv-20.25.0\n\nReceived 6565789 of 6565789 (100.0%), 72.8 MBs/sec\nCache Size: ~6 MB (6565789 B)\n[command]/usr/bin/tar -z -xf /home/runner/work/_temp/bd9f7584-4a40-4ffd-8076-eb2de008007e/cache.tgz -P -C /home/runner/work/beets/beets\nCache restored successfully\nHit cache on tox\nstdout: format_check: recreate env because python changed virtualenv version='20.24.5'->'20.25.0'\n\nstdout: format_check: remove tox env folder /home/runner/work/beets/beets/.tox/format_check\n\nstdout: format_check: install_deps> python -I -m pip install black isort\n\nstdout: format_check: commands[0]> isort beets beetsplug test --check\n\nstdout: format_check: commands[1]> black beets beetsplug test --check\n\nstderr: would reformat /home/runner/work/beets/beets/beetsplug/listenbrainz.py\n\nstderr: \nOh no! 💥 💔 💥\n1 file would be reformatted, 186 files would be left unchanged.\n\nstdout: format_check: exit 1 (4.15 seconds) /home/runner/work/beets/beets> black beets beetsplug test --check pid=1777\n\nstdout: format_check: FAIL code 1 (7.74=setup[3.02]+cmd[0.56,4.15] seconds)\n evaluation failed :( (7.80 seconds)\n\nchild process exited with code 1\n##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/\n##[error]Tox failed\n" } ]	diff --git a/beetsplug/listenbrainz.py b/beetsplug/listenbrainz.py index 11ef71597..3127237ee 100644 --- a/beetsplug/listenbrainz.py +++ b/beetsplug/listenbrainz.py @@ -150,6 +150,7 @@ class ListenBrainzPlugin(BeetsPlugin): def get_listenbrainz_playlists(self): """Returns a list of playlists created by ListenBrainz.""" import re + resp = self.get_playlists_createdfor(self.username) playlists = resp.get("playlists") listenbrainz_playlists = [] @@ -158,7 +159,9 @@ class ListenBrainzPlugin(BeetsPlugin): playlist_info = playlist.get("playlist") if playlist_info.get("creator") == "listenbrainz": title = playlist_info.get("title") - match = re.search(r"(Missed Recordings of \d{4}\|Discoveries of \d{4})", title) + match = re.search( + r"(Missed Recordings of \d{4}\|Discoveries of \d{4})", title + ) if "Exploration" in title: playlist_type = "Exploration" elif "Jams" in title: @@ -178,7 +181,7 @@ class ListenBrainzPlugin(BeetsPlugin): id = identifier.split("/")[-1] if playlist_type in ["Jams", "Exploration"]: listenbrainz_playlists.append( - {"type": playlist_type, "date": date, "identifier": id} + {"type": playlist_type, "date": date, "identifier": id} ) return listenbrainz_playlists	2	[ "beetsplug/listenbrainz.py" ]	https://github.com/beetbox/beets/tree/537b57d99d10ecbcf8a9835bda18a73ee284d88f	2023-12-22T21:12:42Z
Python	44	huggingface	diffusers	refactor-single-file	Run code quality checks	pr_quality.yml	.github/workflows/pr_quality.yml	huggingface	68ddb2559e616656301858d441a523ebd64a710f	7395283f23a66b634d0d316fdceadf17ed5f4f97	name: Run code quality checks on: pull_request: branches: - main push: branches: - main concurrency: group: ${{ github.workflow }}-${{ github.head_ref \|\| github.run_id }} cancel-in-progress: true jobs: check_code_quality: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - name: Set up Python uses: actions/setup-python@v4 with: python-version: "3.8" - name: Install dependencies run: \| python -m pip install --upgrade pip pip install .[quality] - name: Check quality run: \| ruff check examples tests src utils scripts ruff format examples tests src utils scripts --check check_repository_consistency: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - name: Set up Python uses: actions/setup-python@v4 with: python-version: "3.8" - name: Install dependencies run: \| python -m pip install --upgrade pip pip install .[quality] - name: Check quality run: \| python utils/check_copies.py python utils/check_dummies.py make deps_table_check_updated env: PIP_INDEX_URL: http://localhost:8629/2024-01-19 UV_INDEX_URL: http://localhost:8629/2024-01-19	[ { "step_name": "check_code_quality/5_Check quality.txt", "log": "##[group]Run ruff check examples tests src utils scripts\n\u001b[36;1mruff check examples tests src utils scripts\u001b[0m\n\u001b[36;1mruff format examples tests src utils scripts --check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nsrc/diffusers/loaders/single_file_utils.py:23:8: F401 [] `torch` imported but unused\nsrc/diffusers/loaders/single_file_utils.py:25:44: F401 [] `safetensors.torch.load_file` imported but unused\nFound 2 errors.\n[*] 2 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/src/diffusers/loaders/single_file_utils.py b/src/diffusers/loaders/single_file_utils.py index 55b438b036..4dc4c71013 100644 --- a/src/diffusers/loaders/single_file_utils.py +++ b/src/diffusers/loaders/single_file_utils.py @@ -20,9 +20,7 @@ from contextlib import nullcontext from io import BytesIO import requests -import torch import yaml -from safetensors.torch import load_file as safe_load from transformers import ( CLIPTextConfig, CLIPTextModel, @@ -1117,7 +1115,9 @@ def create_text_encoders_and_tokenizers_from_ldm( elif model_type == "FrozenCLIPEmbedder": try: config_name = "openai/clip-vit-large-patch14" - text_encoder = create_text_encoder_from_ldm_clip_checkpoint(config_name, checkpoint, local_files_only=local_files_only) + text_encoder = create_text_encoder_from_ldm_clip_checkpoint( + config_name, checkpoint, local_files_only=local_files_only + ) tokenizer = CLIPTokenizer.from_pretrained(config_name, local_files_only=local_files_only) except Exception: @@ -1159,7 +1159,9 @@ def create_text_encoders_and_tokenizers_from_ldm( try: config_name = "openai/clip-vit-large-patch14" tokenizer = CLIPTokenizer.from_pretrained(config_name, local_files_only=local_files_only) - text_encoder = create_text_encoder_from_ldm_clip_checkpoint(config_name, checkpoint, local_files_only=local_files_only) + text_encoder = create_text_encoder_from_ldm_clip_checkpoint( + config_name, checkpoint, local_files_only=local_files_only + ) except Exception: raise ValueError(	0	[ "src/diffusers/loaders/single_file_utils.py" ]	https://github.com/huggingface/diffusers/tree/68ddb2559e616656301858d441a523ebd64a710f	2024-01-19T08:16:52Z
Python	45	huggingface	diffusers	refactor-single-file	Run Torch dependency tests	pr_torch_dependency_test.yml	.github/workflows/pr_torch_dependency_test.yml	huggingface	ba66fb81a0c8db48fed7abe833409f447b95708b	36203576d5c8e58b0dc823207c6628599d70a343	name: Run Torch dependency tests on: pull_request: branches: - main push: branches: - main concurrency: group: ${{ github.workflow }}-${{ github.head_ref \|\| github.run_id }} cancel-in-progress: true jobs: check_torch_dependencies: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - name: Set up Python uses: actions/setup-python@v4 with: python-version: "3.8" - name: Install dependencies run: \| python -m pip install --upgrade pip pip install -e . pip install torch torchvision torchaudio pip install pytest - name: Check for soft dependencies run: \| pytest tests/others/test_dependencies.py env: PIP_INDEX_URL: http://localhost:8629/2024-01-19 UV_INDEX_URL: http://localhost:8629/2024-01-19	[ { "step_name": "check_torch_dependencies/5_Check for soft dependencies.txt", "log": "##[group]Run pytest tests/others/test_dependencies.py\n\u001b[36;1mpytest tests/others/test_dependencies.py\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/actions-runner/_work/_tool/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/actions-runner/_work/_tool/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/actions-runner/_work/_tool/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/actions-runner/_work/_tool/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/actions-runner/_work/_tool/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/actions-runner/_work/_tool/Python/3.8.18/x64/lib\n##[endgroup]\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.4, pluggy-1.3.0\nrootdir: /opt/actions-runner/_work/diffusers/diffusers\ncollected 3 items\n\ntests/others/test_dependencies.py F.F [100%]\n\n=================================== FAILURES ===================================\n__________________ DependencyTester.test_backend_registration __________________\n\nself = <module 'diffusers.models' from '/opt/actions-runner/_work/diffusers/diffusers/src/diffusers/models/__init__.py'>\nmodule_name = 'autoencoders.autoencoder_asym_kl'\n\n def _get_module(self, module_name: str):\n try:\n> return importlib.import_module(\".\" + module_name, self.__name__)\n\nsrc/diffusers/utils/import_utils.py:693: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n../../_tool/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nsrc/diffusers/models/autoencoders/__init__.py:2: in <module>\n from .autoencoder_kl import AutoencoderKL\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n from typing import Dict, Optional, Tuple, Union\n \n import torch\n import torch.nn as nn\n \n from ...configuration_utils import ConfigMixin, register_to_config\n> from ...loaders import FromSingleFileMixin\nE ImportError: cannot import name 'FromSingleFileMixin' from 'diffusers.loaders' (/opt/actions-runner/_work/diffusers/diffusers/src/diffusers/loaders/__init__.py)\n\nsrc/diffusers/models/autoencoders/autoencoder_kl.py:20: ImportError\n\nThe above exception was the direct cause of the following exception:\n\nself = <test_dependencies.DependencyTester testMethod=test_backend_registration>\n\n def test_backend_registration(self):\n import diffusers\n from diffusers.dependency_versions_table import deps\n \n> all_classes = inspect.getmembers(diffusers, inspect.isclass)\n\ntests/others/test_dependencies.py:31: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n../../_tool/Python/3.8.18/x64/lib/python3.8/inspect.py:350: in getmembers\n value = getattr(object, key)\nsrc/diffusers/utils/import_utils.py:684: in __getattr__\n value = getattr(module, name)\nsrc/diffusers/utils/import_utils.py:683: in __getattr__\n module = self._get_module(self._class_to_module[name])\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <module 'diffusers.models' from '/opt/actions-runner/_work/diffusers/diffusers/src/diffusers/models/__init__.py'>\nmodule_name = 'autoencoders.autoencoder_asym_kl'\n\n def _get_module(self, module_name: str):\n try:\n return importlib.import_module(\".\" + module_name, self.__name__)\n except Exception as e:\n> raise RuntimeError(\n f\"Failed to import {self.__name__}.{module_name} because of the following error (look up to see its\"\n f\" traceback):\\n{e}\"\n ) from e\nE RuntimeError: Failed to import diffusers.models.autoencoders.autoencoder_asym_kl because of the following error (look up to see its traceback):\nE cannot import name 'FromSingleFileMixin' from 'diffusers.loaders' (/opt/actions-runner/_work/diffusers/diffusers/src/diffusers/loaders/__init__.py)\n\nsrc/diffusers/utils/import_utils.py:695: RuntimeError\n____________________ DependencyTester.test_pipeline_imports ____________________\n\nself = <module 'diffusers.models' from '/opt/actions-runner/_work/diffusers/diffusers/src/diffusers/models/__init__.py'>\nmodule_name = 'autoencoders.autoencoder_kl'\n\n def _get_module(self, module_name: str):\n try:\n> return importlib.import_module(\".\" + module_name, self.__name__)\n\nsrc/diffusers/utils/import_utils.py:693: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n../../_tool/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nsrc/diffusers/models/autoencoders/__init__.py:2: in <module>\n from .autoencoder_kl import AutoencoderKL\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n from typing import Dict, Optional, Tuple, Union\n \n import torch\n import torch.nn as nn\n \n from ...configuration_utils import ConfigMixin, register_to_config\n> from ...loaders import FromSingleFileMixin\nE ImportError: cannot import name 'FromSingleFileMixin' from 'diffusers.loaders' (/opt/actions-runner/_work/diffusers/diffusers/src/diffusers/loaders/__init__.py)\n\nsrc/diffusers/models/autoencoders/autoencoder_kl.py:20: ImportError\n\nThe above exception was the direct cause of the following exception:\n\nself = <test_dependencies.DependencyTester testMethod=test_pipeline_imports>\n\n def test_pipeline_imports(self):\n import diffusers\n import diffusers.pipelines\n \n> all_classes = inspect.getmembers(diffusers, inspect.isclass)\n\ntests/others/test_dependencies.py:46: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n../../_tool/Python/3.8.18/x64/lib/python3.8/inspect.py:350: in getmembers\n value = getattr(object, key)\nsrc/diffusers/utils/import_utils.py:684: in __getattr__\n value = getattr(module, name)\nsrc/diffusers/utils/import_utils.py:683: in __getattr__\n module = self._get_module(self._class_to_module[name])\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <module 'diffusers.models' from '/opt/actions-runner/_work/diffusers/diffusers/src/diffusers/models/__init__.py'>\nmodule_name = 'autoencoders.autoencoder_kl'\n\n def _get_module(self, module_name: str):\n try:\n return importlib.import_module(\".\" + module_name, self.__name__)\n except Exception as e:\n> raise RuntimeError(\n f\"Failed to import {self.__name__}.{module_name} because of the following error (look up to see its\"\n f\" traceback):\\n{e}\"\n ) from e\nE RuntimeError: Failed to import diffusers.models.autoencoders.autoencoder_kl because of the following error (look up to see its traceback):\nE cannot import name 'FromSingleFileMixin' from 'diffusers.loaders' (/opt/actions-runner/_work/diffusers/diffusers/src/diffusers/loaders/__init__.py)\n\nsrc/diffusers/utils/import_utils.py:695: RuntimeError\n=========================== short test summary info ============================\nFAILED tests/others/test_dependencies.py::DependencyTester::test_backend_registration - RuntimeError: Failed to import diffusers.models.autoencoders.autoencoder_asym_kl because of the following error (look up to see its traceback):\ncannot import name 'FromSingleFileMixin' from 'diffusers.loaders' (/opt/actions-runner/_work/diffusers/diffusers/src/diffusers/loaders/__init__.py)\nFAILED tests/others/test_dependencies.py::DependencyTester::test_pipeline_imports - RuntimeError: Failed to import diffusers.models.autoencoders.autoencoder_kl because of the following error (look up to see its traceback):\ncannot import name 'FromSingleFileMixin' from 'diffusers.loaders' (/opt/actions-runner/_work/diffusers/diffusers/src/diffusers/loaders/__init__.py)\n========================= 2 failed, 1 passed in 0.71s ==========================\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/src/diffusers/loaders/__init__.py b/src/diffusers/loaders/__init__.py index 675246e408..4da047435d 100644 --- a/src/diffusers/loaders/__init__.py +++ b/src/diffusers/loaders/__init__.py @@ -54,9 +54,11 @@ if is_transformers_available(): _import_structure = {} if is_torch_available(): + _import_structure["autoencoder"] = ["FromOriginalVAEMixin"] + + _import_structure["controlnet"] = ["FromOriginalControlNetMixin"] _import_structure["unet"] = ["UNet2DConditionLoadersMixin"] _import_structure["utils"] = ["AttnProcsLayers"] - if is_transformers_available(): _import_structure["single_file"] = ["FromSingleFileMixin"] _import_structure["lora"] = ["LoraLoaderMixin", "StableDiffusionXLLoraLoaderMixin"] @@ -68,6 +70,8 @@ _import_structure["peft"] = ["PeftAdapterMixin"] if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT: if is_torch_available(): + from .autoencoder import FromOriginalVAEMixin + from .controlnet import FromOriginalControlNetMixin from .unet import UNet2DConditionLoadersMixin from .utils import AttnProcsLayers diff --git a/src/diffusers/loaders/autoencoder.py b/src/diffusers/loaders/autoencoder.py new file mode 100644 index 0000000000..e21f651b8d --- /dev/null +++ b/src/diffusers/loaders/autoencoder.py @@ -0,0 +1,126 @@ +# Copyright 2023 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from huggingface_hub.utils import validate_hf_hub_args + +from .single_file_utils import ( + create_diffusers_vae_model_from_ldm, + fetch_ldm_config_and_checkpoint, +) + + +class FromOriginalVAEMixin: + """ + Load pretrained AutoencoderKL weights saved in the `.ckpt` or `.safetensors` format into a [`ControlNetModel`]. + """ + + @classmethod + @validate_hf_hub_args + def from_single_file(cls, pretrained_model_link_or_path, *kwargs): + r""" + Instantiate a [`AutoencoderKL`] from pretrained ControlNet weights saved in the original `.ckpt` or + `.safetensors` format. The pipeline is set in evaluation mode (`model.eval()`) by default. + + Parameters: + pretrained_model_link_or_path (`str` or `os.PathLike`, optional): + Can be either: + - A link to the `.ckpt` file (for example + `"https://huggingface.co/<repo_id>/blob/main/<path_to_file>.ckpt"`) on the Hub. + - A path to a file* containing all pipeline weights. + torch_dtype (`str` or `torch.dtype`, optional): + Override the default `torch.dtype` and load the model with another dtype. If `"auto"` is passed, the + dtype is automatically derived from the model's weights. + force_download (`bool`, optional, defaults to `False`): + Whether or not to force the (re-)download of the model weights and configuration files, overriding the + cached versions if they exist. + cache_dir (`Union[str, os.PathLike]`, optional): + Path to a directory where a downloaded pretrained model configuration is cached if the standard cache + is not used. + resume_download (`bool`, optional, defaults to `False`): + Whether or not to resume downloading the model weights and configuration files. If set to `False`, any + incompletely downloaded files are deleted. + proxies (`Dict[str, str]`, optional): + A dictionary of proxy servers to use by protocol or endpoint, for example, `{'http': 'foo.bar:3128', + 'http://hostname': 'foo.bar:4012'}`. The proxies are used on each request. + local_files_only (`bool`, optional, defaults to `False`): + Whether to only load local model weights and configuration files or not. If set to True, the model + won't be downloaded from the Hub. + token (`str` or bool, optional): + The token to use as HTTP bearer authorization for remote files. If `True`, the token generated from + `diffusers-cli login` (stored in `~/.huggingface`) is used. + revision (`str`, optional, defaults to `"main"`): + The specific model version to use. It can be a branch name, a tag name, a commit id, or any identifier + allowed by Git. + image_size (`int`, optional, defaults to 512): + The image size the model was trained on. Use 512 for all Stable Diffusion v1 models and the Stable + Diffusion v2 base model. Use 768 for Stable Diffusion v2. + use_safetensors (`bool`, optional, defaults to `None`): + If set to `None`, the safetensors weights are downloaded if they're available and if the + safetensors library is installed. If set to `True`, the model is forcibly loaded from safetensors + weights. If set to `False`, safetensors weights are not loaded. + kwargs (remaining dictionary of keyword arguments, optional): + Can be used to overwrite load and saveable variables (for example the pipeline components of the + specific pipeline class). The overwritten components are directly passed to the pipelines `__init__` + method. See example below for more information. + + <Tip warning={true}> + + Make sure to pass both `image_size` and `scaling_factor` to `from_single_file()` if you're loading + a VAE from SDXL or a Stable Diffusion v2 model or higher. + + </Tip> + + Examples: + + ```py + from diffusers import AutoencoderKL + + url = "https://huggingface.co/stabilityai/sd-vae-ft-mse-original/blob/main/vae-ft-mse-840000-ema-pruned.safetensors" # can also be local file + model = AutoencoderKL.from_single_file(url) + ``` + """ + + original_config_file = kwargs.pop("original_config_file", None) + resume_download = kwargs.pop("resume_download", False) + force_download = kwargs.pop("force_download", False) + proxies = kwargs.pop("proxies", None) + token = kwargs.pop("token", None) + cache_dir = kwargs.pop("cache_dir", None) + local_files_only = kwargs.pop("local_files_only", None) + revision = kwargs.pop("revision", None) + torch_dtype = kwargs.pop("torch_dtype", None) + use_safetensors = kwargs.pop("use_safetensors", True) + + class_name = cls.__name__ + original_config, checkpoint = fetch_ldm_config_and_checkpoint( + pretrained_model_link_or_path=pretrained_model_link_or_path, + class_name=class_name, + original_config_file=original_config_file, + resume_download=resume_download, + force_download=force_download, + proxies=proxies, + token=token, + revision=revision, + local_files_only=local_files_only, + use_safetensors=use_safetensors, + cache_dir=cache_dir, + ) + + image_size = kwargs.pop("image_size", None) + component = create_diffusers_vae_model_from_ldm(class_name, original_config, checkpoint, image_size=image_size) + vae = component["vae"] + if torch_dtype is not None: + vae = vae.to(torch_dtype) + + return vae diff --git a/src/diffusers/loaders/controlnet.py b/src/diffusers/loaders/controlnet.py new file mode 100644 index 0000000000..527a77109a --- /dev/null +++ b/src/diffusers/loaders/controlnet.py @@ -0,0 +1,127 @@ +# Copyright 2023 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from huggingface_hub.utils import validate_hf_hub_args + +from .single_file_utils import ( + create_diffusers_controlnet_model_from_ldm, + fetch_ldm_config_and_checkpoint, +) + + +class FromOriginalControlNetMixin: + """ + Load pretrained ControlNet weights saved in the `.ckpt` or `.safetensors` format into a [`ControlNetModel`]. + """ + + @classmethod + @validate_hf_hub_args + def from_single_file(cls, pretrained_model_link_or_path, *kwargs): + r""" + Instantiate a [`ControlNetModel`] from pretrained ControlNet weights saved in the original `.ckpt` or + `.safetensors` format. The pipeline is set in evaluation mode (`model.eval()`) by default. + + Parameters: + pretrained_model_link_or_path (`str` or `os.PathLike`, optional): + Can be either: + - A link to the `.ckpt` file (for example + `"https://huggingface.co/<repo_id>/blob/main/<path_to_file>.ckpt"`) on the Hub. + - A path to a file* containing all pipeline weights. + torch_dtype (`str` or `torch.dtype`, optional): + Override the default `torch.dtype` and load the model with another dtype. If `"auto"` is passed, the + dtype is automatically derived from the model's weights. + force_download (`bool`, optional, defaults to `False`): + Whether or not to force the (re-)download of the model weights and configuration files, overriding the + cached versions if they exist. + cache_dir (`Union[str, os.PathLike]`, optional): + Path to a directory where a downloaded pretrained model configuration is cached if the standard cache + is not used. + resume_download (`bool`, optional, defaults to `False`): + Whether or not to resume downloading the model weights and configuration files. If set to `False`, any + incompletely downloaded files are deleted. + proxies (`Dict[str, str]`, optional): + A dictionary of proxy servers to use by protocol or endpoint, for example, `{'http': 'foo.bar:3128', + 'http://hostname': 'foo.bar:4012'}`. The proxies are used on each request. + local_files_only (`bool`, optional, defaults to `False`): + Whether to only load local model weights and configuration files or not. If set to True, the model + won't be downloaded from the Hub. + token (`str` or bool, optional): + The token to use as HTTP bearer authorization for remote files. If `True`, the token generated from + `diffusers-cli login` (stored in `~/.huggingface`) is used. + revision (`str`, optional, defaults to `"main"`): + The specific model version to use. It can be a branch name, a tag name, a commit id, or any identifier + allowed by Git. + use_safetensors (`bool`, optional, defaults to `None`): + If set to `None`, the safetensors weights are downloaded if they're available and if the + safetensors library is installed. If set to `True`, the model is forcibly loaded from safetensors + weights. If set to `False`, safetensors weights are not loaded. + image_size (`int`, optional, defaults to 512): + The image size the model was trained on. Use 512 for all Stable Diffusion v1 models and the Stable + Diffusion v2 base model. Use 768 for Stable Diffusion v2. + upcast_attention (`bool`, optional, defaults to `None`): + Whether the attention computation should always be upcasted. + kwargs (remaining dictionary of keyword arguments, optional): + Can be used to overwrite load and saveable variables (for example the pipeline components of the + specific pipeline class). The overwritten components are directly passed to the pipelines `__init__` + method. See example below for more information. + + Examples: + + ```py + from diffusers import StableDiffusionControlNetPipeline, ControlNetModel + + url = "https://huggingface.co/lllyasviel/ControlNet-v1-1/blob/main/control_v11p_sd15_canny.pth" # can also be a local path + model = ControlNetModel.from_single_file(url) + + url = "https://huggingface.co/runwayml/stable-diffusion-v1-5/blob/main/v1-5-pruned.safetensors" # can also be a local path + pipe = StableDiffusionControlNetPipeline.from_single_file(url, controlnet=controlnet) + ``` + """ + original_config_file = kwargs.pop("original_config_file", None) + resume_download = kwargs.pop("resume_download", False) + force_download = kwargs.pop("force_download", False) + proxies = kwargs.pop("proxies", None) + token = kwargs.pop("token", None) + cache_dir = kwargs.pop("cache_dir", None) + local_files_only = kwargs.pop("local_files_only", None) + revision = kwargs.pop("revision", None) + torch_dtype = kwargs.pop("torch_dtype", None) + use_safetensors = kwargs.pop("use_safetensors", True) + + class_name = cls.__name__ + original_config, checkpoint = fetch_ldm_config_and_checkpoint( + pretrained_model_link_or_path=pretrained_model_link_or_path, + class_name=class_name, + original_config_file=original_config_file, + resume_download=resume_download, + force_download=force_download, + proxies=proxies, + token=token, + revision=revision, + local_files_only=local_files_only, + use_safetensors=use_safetensors, + cache_dir=cache_dir, + ) + + upcast_attention = kwargs.pop("upcast_attention", False) + image_size = kwargs.pop("image_size", None) + + component = create_diffusers_controlnet_model_from_ldm( + class_name, original_config, checkpoint, upcast_attention=upcast_attention, image_size=image_size + ) + controlnet = component["controlnet"] + if torch_dtype is not None: + controlnet = controlnet.to(torch_dtype) + + return controlnet diff --git a/src/diffusers/loaders/single_file.py b/src/diffusers/loaders/single_file.py index d23b2b9e87..d747bfacde 100644 --- a/src/diffusers/loaders/single_file.py +++ b/src/diffusers/loaders/single_file.py @@ -11,32 +11,22 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -import os -import re from huggingface_hub.utils import validate_hf_hub_args -from transformers import AutoFeatureExtractor -from ..models.modeling_utils import load_state_dict -from ..utils import ( - logging, -) -from ..utils.hub_utils import _get_model_file +from ..utils import logging from .single_file_utils import ( - create_diffusers_controlnet_model_from_ldm, create_diffusers_unet_model_from_ldm, create_diffusers_vae_model_from_ldm, create_scheduler_from_ldm, create_text_encoders_and_tokenizers_from_ldm, - fetch_original_config, + fetch_ldm_config_and_checkpoint, infer_model_type, ) logger = logging.get_logger(__name__) - -VALID_URL_PREFIXES = ["https://huggingface.co/", "huggingface.co/", "hf.co/", "https://hf.co/"] # Pipelines that support the SDXL Refiner checkpoint REFINER_PIPELINES = [ "StableDiffusionXLImg2ImgPipeline", @@ -45,29 +35,12 @@ REFINER_PIPELINES = [ ] -def _extract_repo_id_and_weights_name(pretrained_model_name_or_path): - pattern = r"([^/]+)/([^/]+)/(?:blob/main/)?(.+)" - weights_name = None - repo_id = (None,) - for prefix in VALID_URL_PREFIXES: - pretrained_model_name_or_path = pretrained_model_name_or_path.replace(prefix, "") - match = re.match(pattern, pretrained_model_name_or_path) - if not match: - return repo_id, weights_name - - repo_id = f"{match.group(1)}/{match.group(2)}" - weights_name = match.group(3) - - return repo_id, weights_name - - def build_sub_model_components( pipeline_components, pipeline_class_name, component_name, original_config, checkpoint, - checkpoint_path_or_dict, local_files_only=False, load_safety_checker=False, **kwargs, @@ -117,6 +90,8 @@ def build_sub_model_components( if component_name == "safety_checker": if load_safety_checker: + from transformers import AutoFeatureExtractor + from ..pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker safety_checker = StableDiffusionSafetyChecker.from_pretrained( @@ -233,50 +208,20 @@ class FromSingleFileMixin: use_safetensors = kwargs.pop("use_safetensors", True) class_name = cls.__name__ - file_extension = pretrained_model_link_or_path.rsplit(".", 1)[-1] - from_safetensors = file_extension == "safetensors" - - if from_safetensors and use_safetensors is False: - raise ValueError("Make sure to install `safetensors` with `pip install safetensors`.") - - if os.path.isfile(pretrained_model_link_or_path): - checkpoint = load_state_dict(pretrained_model_link_or_path) - else: - repo_id, weights_name = _extract_repo_id_and_weights_name(pretrained_model_link_or_path) - checkpoint_path = _get_model_file( - repo_id, - weights_name=weights_name, - force_download=force_download, - cache_dir=cache_dir, - resume_download=resume_download, - proxies=proxies, - local_files_only=local_files_only, - token=token, - revision=revision, - ) - checkpoint = load_state_dict(checkpoint_path) - - # some checkpoints contain the model state dict under a "state_dict" key - while "state_dict" in checkpoint: - checkpoint = checkpoint["state_dict"] - - original_config = fetch_original_config(class_name, checkpoint, original_config_file) - - if class_name == "AutoencoderKL": - image_size = kwargs.pop("image_size", None) - component = create_diffusers_vae_model_from_ldm( - class_name, original_config, checkpoint, image_size=image_size - ) - return component["vae"] - if class_name == "ControlNetModel": - upcast_attention = kwargs.pop("upcast_attention", False) - image_size = kwargs.pop("image_size", None) - - component = create_diffusers_controlnet_model_from_ldm( - class_name, original_config, checkpoint, upcast_attention=upcast_attention, image_size=image_size - ) - return component["controlnet"] + original_config, checkpoint = fetch_ldm_config_and_checkpoint( + pretrained_model_link_or_path=pretrained_model_link_or_path, + class_name=class_name, + original_config_file=original_config_file, + resume_download=resume_download, + force_download=force_download, + proxies=proxies, + token=token, + revision=revision, + local_files_only=local_files_only, + use_safetensors=use_safetensors, + cache_dir=cache_dir, + ) from ..pipelines.pipeline_utils import _get_pipeline_class diff --git a/src/diffusers/loaders/single_file_utils.py b/src/diffusers/loaders/single_file_utils.py index 475b7d3819..e76ea516d8 100644 --- a/src/diffusers/loaders/single_file_utils.py +++ b/src/diffusers/loaders/single_file_utils.py @@ -15,20 +15,15 @@ """ Conversion script for the Stable Diffusion checkpoints.""" import os +import re from contextlib import nullcontext from io import BytesIO from urllib.parse import urlparse import requests import yaml -from transformers import ( - CLIPTextConfig, - CLIPTextModel, - CLIPTextModelWithProjection, - CLIPTokenizer, -) -from ..models import UNet2DConditionModel +from ..models.modeling_utils import load_state_dict from ..schedulers import ( DDIMScheduler, DDPMScheduler, @@ -39,8 +34,17 @@ from ..schedulers import ( LMSDiscreteScheduler, PNDMScheduler, ) -from ..utils import is_accelerate_available, logging +from ..utils import is_accelerate_available, is_transformers_available, logging +from ..utils.hub_utils import _get_model_file + +if is_transformers_available(): + from transformers import ( + CLIPTextConfig, + CLIPTextModel, + CLIPTextModelWithProjection, + CLIPTokenizer, + ) if is_accelerate_available(): from accelerate import init_empty_weights @@ -187,6 +191,71 @@ SD_2_TEXT_ENCODER_KEYS_TO_IGNORE = [ ] +VALID_URL_PREFIXES = ["https://huggingface.co/", "huggingface.co/", "hf.co/", "https://hf.co/"] + + +def _extract_repo_id_and_weights_name(pretrained_model_name_or_path): + pattern = r"([^/]+)/([^/]+)/(?:blob/main/)?(.+)" + weights_name = None + repo_id = (None,) + for prefix in VALID_URL_PREFIXES: + pretrained_model_name_or_path = pretrained_model_name_or_path.replace(prefix, "") + match = re.match(pattern, pretrained_model_name_or_path) + if not match: + return repo_id, weights_name + + repo_id = f"{match.group(1)}/{match.group(2)}" + weights_name = match.group(3) + + return repo_id, weights_name + + +def fetch_ldm_config_and_checkpoint( + pretrained_model_link_or_path, + class_name, + original_config_file=None, + resume_download=False, + force_download=False, + proxies=None, + token=None, + cache_dir=None, + local_files_only=None, + revision=None, + use_safetensors=True, +): + file_extension = pretrained_model_link_or_path.rsplit(".", 1)[-1] + from_safetensors = file_extension == "safetensors" + + if from_safetensors and use_safetensors is False: + raise ValueError("Make sure to install `safetensors` with `pip install safetensors`.") + + if os.path.isfile(pretrained_model_link_or_path): + checkpoint = load_state_dict(pretrained_model_link_or_path) + + else: + repo_id, weights_name = _extract_repo_id_and_weights_name(pretrained_model_link_or_path) + checkpoint_path = _get_model_file( + repo_id, + weights_name=weights_name, + force_download=force_download, + cache_dir=cache_dir, + resume_download=resume_download, + proxies=proxies, + local_files_only=local_files_only, + token=token, + revision=revision, + ) + checkpoint = load_state_dict(checkpoint_path) + + # some checkpoints contain the model state dict under a "state_dict" key + while "state_dict" in checkpoint: + checkpoint = checkpoint["state_dict"] + + original_config = fetch_original_config(class_name, checkpoint, original_config_file) + + return original_config, checkpoint + + def infer_original_config_file(class_name, checkpoint): if CHECKPOINT_KEY_NAMES["v2"] in checkpoint and checkpoint[CHECKPOINT_KEY_NAMES["v2"]].shape[-1] == 1024: config_url = CONFIG_URLS["v2"] @@ -438,7 +507,7 @@ def create_controlnet_diffusers_config(original_config, image_size: int): return controlnet_config -def create_vae_diffusers_config(original_config, image_size: int): +def create_vae_diffusers_config(original_config, image_size, scaling_factor=0.18125): """ Creates a config for the diffusers based on the config of the LDM model. """ @@ -457,6 +526,7 @@ def create_vae_diffusers_config(original_config, image_size: int): "block_out_channels": tuple(block_out_channels), "latent_channels": vae_params["z_channels"], "layers_per_block": vae_params["num_res_blocks"], + "scaling_factor": scaling_factor, } return config @@ -1029,6 +1099,8 @@ def create_diffusers_unet_model_from_ldm( extract_ema=False, image_size=None, ): + from ..models import UNet2DConditionModel + if num_in_channels is None: if pipeline_class_name in [ "StableDiffusionInpaintPipeline", @@ -1063,17 +1135,14 @@ def create_diffusers_unet_model_from_ldm( def create_diffusers_vae_model_from_ldm( - pipeline_class_name, - original_config, - checkpoint, - image_size=None, + pipeline_class_name, original_config, checkpoint, image_size=None, scaling_factor=0.18125 ): # import here to avoid circular imports from ..models import AutoencoderKL image_size = set_image_size(pipeline_class_name, original_config, checkpoint, image_size=image_size) - vae_config = create_vae_diffusers_config(original_config, image_size=image_size) + vae_config = create_vae_diffusers_config(original_config, image_size=image_size, scaling_factor=scaling_factor) diffusers_format_vae_checkpoint = convert_ldm_vae_checkpoint(checkpoint, vae_config) ctx = init_empty_weights if is_accelerate_available() else nullcontext diff --git a/src/diffusers/models/autoencoders/autoencoder_kl.py b/src/diffusers/models/autoencoders/autoencoder_kl.py index 92d12a220f..10a3ae58de 100644 --- a/src/diffusers/models/autoencoders/autoencoder_kl.py +++ b/src/diffusers/models/autoencoders/autoencoder_kl.py @@ -17,7 +17,7 @@ import torch import torch.nn as nn from ...configuration_utils import ConfigMixin, register_to_config -from ...loaders import FromSingleFileMixin +from ...loaders import FromOriginalVAEMixin from ...utils.accelerate_utils import apply_forward_hook from ..attention_processor import ( ADDED_KV_ATTENTION_PROCESSORS, @@ -32,7 +32,7 @@ from ..modeling_utils import ModelMixin from .vae import Decoder, DecoderOutput, DiagonalGaussianDistribution, Encoder -class AutoencoderKL(ModelMixin, ConfigMixin, FromSingleFileMixin): +class AutoencoderKL(ModelMixin, ConfigMixin, FromOriginalVAEMixin): r""" A VAE model with KL loss for encoding images into latents and decoding latent representations into images. diff --git a/src/diffusers/models/controlnet.py b/src/diffusers/models/controlnet.py index 8af13a6ec7..7f30410c41 100644 --- a/src/diffusers/models/controlnet.py +++ b/src/diffusers/models/controlnet.py @@ -19,7 +19,7 @@ from torch import nn from torch.nn import functional as F from ..configuration_utils import ConfigMixin, register_to_config -from ..loaders import FromSingleFileMixin +from ..loaders import FromOriginalControlNetMixin from ..utils import BaseOutput, logging from .attention_processor import ( ADDED_KV_ATTENTION_PROCESSORS, @@ -102,7 +102,7 @@ class ControlNetConditioningEmbedding(nn.Module): return embedding -class ControlNetModel(ModelMixin, ConfigMixin, FromSingleFileMixin): +class ControlNetModel(ModelMixin, ConfigMixin, FromOriginalControlNetMixin): """ A ControlNet model.	2	[ "src/diffusers/loaders/__init__.py", "src/diffusers/loaders/autoencoder.py", "src/diffusers/loaders/controlnet.py", "src/diffusers/loaders/single_file.py", "src/diffusers/loaders/single_file_utils.py", "src/diffusers/models/autoencoders/autoencoder_kl.py", "src/diffusers/models/controlnet.py" ]	https://github.com/huggingface/diffusers/tree/ba66fb81a0c8db48fed7abe833409f447b95708b	2024-01-19T09:08:23Z
Python	53	yt-dlp	yt-dlp	elemental_tv_to_upstream	Quick Test	quick-test.yml	.github/workflows/quick-test.yml	mp107	e29a1f6d5a51a55349b025c23fa01bddb8858a71	96e3af9c5cdc78606196e9b04023eb263f85821a	name: Quick Test on: [push, pull_request] permissions: contents: read jobs: tests: name: Core Test if: "!contains(github.event.head_commit.message, 'ci skip all')" runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v4 - name: Set up Python 3.8 uses: actions/setup-python@v4 with: python-version: '3.8' - name: Install test requirements run: pip install pytest -r requirements.txt - name: Run tests run: \| python3 -m yt_dlp -v \|\| true python3 ./devscripts/run_tests.py core flake8: name: Linter if: "!contains(github.event.head_commit.message, 'ci skip all')" runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v4 - uses: actions/setup-python@v4 - name: Install flake8 run: pip install flake8 - name: Make lazy extractors run: python devscripts/make_lazy_extractors.py - name: Run flake8 run: flake8 . env: PIP_INDEX_URL: http://localhost:8629/2024-01-14 UV_INDEX_URL: http://localhost:8629/2024-01-14	[ { "step_name": "Linter/5_Make lazy extractors.txt", "log": "##[group]Run python devscripts/make_lazy_extractors.py\n\u001b[36;1mpython devscripts/make_lazy_extractors.py\u001b[0m\nshell: /usr/bin/bash -e {0}\n##[endgroup]\nTraceback (most recent call last):\n File \"/home/runner/work/yt-dlp/yt-dlp/devscripts/make_lazy_extractors.py\", line 132, in <module>\n main()\n File \"/home/runner/work/yt-dlp/yt-dlp/devscripts/make_lazy_extractors.py\", line 41, in main\n _ALL_CLASSES = get_all_ies() # Must be before import\n File \"/home/runner/work/yt-dlp/yt-dlp/devscripts/make_lazy_extractors.py\", line 68, in get_all_ies\n from yt_dlp.extractor.extractors import _ALL_CLASSES\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/extractors.py\", line 17, in <module>\n from ._extractors import * # noqa: F403\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/_extractors.py\", line 544, in <module>\n from .elevensports import ElevenSportsIE\nModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\n##[error]Process completed with exit code 1.\n" }, { "step_name": "Core Test/5_Run tests.txt", "log": "##[group]Run python3 -m yt_dlp -v \|\| true\n\u001b[36;1mpython3 -m yt_dlp -v \|\| true\u001b[0m\n\u001b[36;1mpython3 ./devscripts/run_tests.py core\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n[debug] Command-line config: ['-v']\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/runpy.py\", line 194, in _run_module_as_main\n return _run_code(code, main_globals, None,\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/runpy.py\", line 87, in _run_code\n exec(code, run_globals)\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__main__.py\", line 17, in <module>\n yt_dlp.main()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 1009, in main\n _exit(variadic(_real_main(argv)))\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/__init__.py\", line 963, in _real_main\n with YoutubeDL(ydl_opts) as ydl:\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 690, in __init__\n self.print_debug_header()\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/YoutubeDL.py\", line 3920, in print_debug_header\n from .extractor.extractors import _LAZY_LOADER\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/extractors.py\", line 17, in <module>\n from ._extractors import # noqa: F403\n File \"/home/runner/work/yt-dlp/yt-dlp/yt_dlp/extractor/_extractors.py\", line 544, in <module>\n from .elevensports import ElevenSportsIE\nModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\nRunning ['pytest', '-Werror', '--tb=short', '--color=yes', '-m', 'not download']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.8.18, pytest-7.4.4, pluggy-1.3.0 -- /opt/hostedtoolcache/Python/3.8.18/x64/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/yt-dlp/yt-dlp\nconfigfile: setup.cfg\n\u001b[1mcollecting ... \u001b[0mcollected 653 items / 9 errors / 6 deselected / 647 selected\n\n==================================== ERRORS ====================================\n\u001b[31m\u001b[1m_________________ ERROR collecting test/test_InfoExtractor.py __________________\u001b[0m\n\u001b[31mImportError while importing test module '/home/runner/work/yt-dlp/yt-dlp/test/test_InfoExtractor.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\ntest/test_InfoExtractor.py:16: in <module>\n from yt_dlp.extractor import YoutubeIE, get_info_extractor\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in <module>\n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:544: in <module>\n from .elevensports import ElevenSportsIE\nE ModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\u001b[0m\n\u001b[31m\u001b[1m___________________ ERROR collecting test/test_YoutubeDL.py ____________________\u001b[0m\n\u001b[31mImportError while importing test module '/home/runner/work/yt-dlp/yt-dlp/test/test_YoutubeDL.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\ntest/test_YoutubeDL.py:17: in <module>\n from yt_dlp.extractor import YoutubeIE\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in <module>\n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:544: in <module>\n from .elevensports import ElevenSportsIE\nE ModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\u001b[0m\n\u001b[31m\u001b[1m____________________ ERROR collecting test/test_all_urls.py ____________________\u001b[0m\n\u001b[31mImportError while importing test module '/home/runner/work/yt-dlp/yt-dlp/test/test_all_urls.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\ntest/test_all_urls.py:14: in <module>\n from yt_dlp.extractor import FacebookIE, YoutubeIE, gen_extractors\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in <module>\n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:544: in <module>\n from .elevensports import ElevenSportsIE\nE ModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\u001b[0m\n\u001b[31m\u001b[1m____________________ ERROR collecting test/test_download.py ____________________\u001b[0m\n\u001b[31mImportError while importing test module '/home/runner/work/yt-dlp/yt-dlp/test/test_download.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\ntest/test_download.py:286: in <module>\n inject_tests(normal_test_cases)\ntest/test_download.py:275: in inject_tests\n for test_case in test_cases:\ntest/helper.py:91: in gettestcases\n for ie in yt_dlp.extractor.gen_extractors():\nyt_dlp/extractor/__init__.py:20: in gen_extractors\n return [klass() for klass in gen_extractor_classes()]\nyt_dlp/extractor/__init__.py:11: in gen_extractor_classes\n from .extractors import _ALL_CLASSES\nyt_dlp/extractor/extractors.py:17: in <module>\n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:544: in <module>\n from .elevensports import ElevenSportsIE\nE ModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\u001b[0m\n\u001b[31m\u001b[1m_____________ ERROR collecting test/test_iqiyi_sdk_interpreter.py ______________\u001b[0m\n\u001b[31mImportError while importing test module '/home/runner/work/yt-dlp/yt-dlp/test/test_iqiyi_sdk_interpreter.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\ntest/test_iqiyi_sdk_interpreter.py:12: in <module>\n from yt_dlp.extractor import IqiyiIE\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in <module>\n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:544: in <module>\n from .elevensports import ElevenSportsIE\nE ModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\u001b[0m\n\u001b[31m\u001b[1m___________________ ERROR collecting test/test_subtitles.py ____________________\u001b[0m\n\u001b[31mImportError while importing test module '/home/runner/work/yt-dlp/yt-dlp/test/test_subtitles.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\ntest/test_subtitles.py:12: in <module>\n from yt_dlp.extractor import (\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in <module>\n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:544: in <module>\n from .elevensports import ElevenSportsIE\nE ModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\u001b[0m\n\u001b[31m\u001b[1m_________________ ERROR collecting test/test_youtube_lists.py __________________\u001b[0m\n\u001b[31mImportError while importing test module '/home/runner/work/yt-dlp/yt-dlp/test/test_youtube_lists.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\ntest/test_youtube_lists.py:12: in <module>\n from yt_dlp.extractor import YoutubeIE, YoutubeTabIE\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in <module>\n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:544: in <module>\n from .elevensports import ElevenSportsIE\nE ModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\u001b[0m\n\u001b[31m\u001b[1m__________________ ERROR collecting test/test_youtube_misc.py __________________\u001b[0m\n\u001b[31mImportError while importing test module '/home/runner/work/yt-dlp/yt-dlp/test/test_youtube_misc.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\ntest/test_youtube_misc.py:11: in <module>\n from yt_dlp.extractor import YoutubeIE\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in <module>\n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:544: in <module>\n from .elevensports import ElevenSportsIE\nE ModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\u001b[0m\n\u001b[31m\u001b[1m_______________ ERROR collecting test/test_youtube_signature.py ________________\u001b[0m\n\u001b[31mImportError while importing test module '/home/runner/work/yt-dlp/yt-dlp/test/test_youtube_signature.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\ntest/test_youtube_signature.py:17: in <module>\n from yt_dlp.extractor import YoutubeIE\nyt_dlp/compat/compat_utils.py:36: in __getattribute__\n ret = super().__getattribute__(attr)\nyt_dlp/compat/compat_utils.py:54: in __getattr__\n ret = from_child(attr)\nyt_dlp/compat/compat_utils.py:68: in from_child\n child = importlib.import_module(child, parent.__name__)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py:127: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\nyt_dlp/extractor/extractors.py:17: in <module>\n from ._extractors import * # noqa: F403\nyt_dlp/extractor/_extractors.py:544: in <module>\n from .elevensports import ElevenSportsIE\nE ModuleNotFoundError: No module named 'yt_dlp.extractor.elevensports'\u001b[0m\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[31mERROR\u001b[0m test/test_InfoExtractor.py\n\u001b[31mERROR\u001b[0m test/test_YoutubeDL.py\n\u001b[31mERROR\u001b[0m test/test_all_urls.py\n\u001b[31mERROR\u001b[0m test/test_download.py\n\u001b[31mERROR\u001b[0m test/test_iqiyi_sdk_interpreter.py\n\u001b[31mERROR\u001b[0m test/test_subtitles.py\n\u001b[31mERROR\u001b[0m test/test_youtube_lists.py\n\u001b[31mERROR\u001b[0m test/test_youtube_misc.py\n\u001b[31mERROR\u001b[0m test/test_youtube_signature.py\n!!!!!!!!!!!!!!!!!!! Interrupted: 9 errors during collection !!!!!!!!!!!!!!!!!!!!\n\u001b[31m======================= \u001b[33m6 deselected\u001b[0m, \u001b[31m\u001b[1m9 errors\u001b[0m\u001b[31m in 1.17s\u001b[0m\u001b[31m ========================\u001b[0m\n##[error]Process completed with exit code 2.\n" } ]	diff --git a/yt_dlp/extractor/_extractors.py b/yt_dlp/extractor/_extractors.py index e5c6b219e..0667a5255 100644 --- a/yt_dlp/extractor/_extractors.py +++ b/yt_dlp/extractor/_extractors.py @@ -541,12 +541,6 @@ from .einthusan import EinthusanIE from .eitb import EitbIE from .elemental_tv import ElementalTVIE -from .elevensports import ElevenSportsIE -from .ellentube import ( - EllenTubeIE, - EllenTubeVideoIE, - EllenTubePlaylistIE, -) from .elonet import ElonetIE from .elpais import ElPaisIE from .eltrecetv import ElTreceTVIE	1	[ "yt_dlp/extractor/_extractors.py" ]	https://github.com/yt-dlp/yt-dlp/tree/e29a1f6d5a51a55349b025c23fa01bddb8858a71	2024-01-14T13:00:44Z
Python	55	hacs	integration	more-proxy-tests	Lint	lint.yaml	.github/workflows/lint.yaml	hacs	d985231d83ec0cb50784548dae26236dd03bd2a6	db6846d27aa9eee7b6ded5bdf4a1192f7c129ad2	name: Lint on: pull_request: branches: - main push: branches: - main concurrency: group: lint-${{ github.ref }} cancel-in-progress: true jobs: matrix: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 name: Run ${{ matrix.check }} strategy: matrix: check: - pyupgrade - black - codespell - check-executables-have-shebangs - check-json - requirements-txt-fixer - check-ast - mixed-line-ending steps: - name: 📥 Checkout the repository uses: actions/[email protected] - name: 🛠️ Set up Python uses: actions/[email protected] id: python with: python-version: "3.11" - name: 📦 Install pre-commit run: \| scripts/install/pip_packages pre-commit pre-commit install-hooks --config .github/pre-commit-config.yaml - name: 🏃 Run the check (${{ matrix.check }}) run: pre-commit run --hook-stage manual ${{ matrix.check }} --all-files --config .github/pre-commit-config.yaml lint-json: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 name: With JQ steps: - name: 📥 Checkout the repository uses: actions/[email protected] - name: 🏃 Run validation run: jq -r -e -c . tests/fixtures/*.json env: PIP_INDEX_URL: http://localhost:8629/2023-12-30 UV_INDEX_URL: http://localhost:8629/2023-12-30	[ { "step_name": "Run codespell/5_🏃 Run the check (codespell).txt", "log": "##[group]Run pre-commit run --hook-stage manual codespell --all-files --config .github/pre-commit-config.yaml\n\u001b[36;1mpre-commit run --hook-stage manual codespell --all-files --config .github/pre-commit-config.yaml\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\ncodespell................................................................Failed\n- hook id: codespell\n- exit code: 65\n\ntests/repositories/test_remove_repository.py:23: instad ==> instead\n\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/tests/repositories/test_remove_repository.py b/tests/repositories/test_remove_repository.py index 57effda5..85fec925 100644 --- a/tests/repositories/test_remove_repository.py +++ b/tests/repositories/test_remove_repository.py @@ -20,7 +20,7 @@ from tests.conftest import SnapshotFixture "category_test_data", category_test_data_parametrized( skip_categories=[HacsCategory.PYTHON_SCRIPT], - skip_reason="bug in cleanup, using repo name instad of file name.", + skip_reason="bug in cleanup, using repo name instead of file name.", ), ) async def test_remove_repository(	1	[ "tests/repositories/test_remove_repository.py" ]	https://github.com/hacs/integration/tree/d985231d83ec0cb50784548dae26236dd03bd2a6	2023-12-30T20:18:11Z
Python	57	hacs	integration	more-proxy-tests	Lint	lint.yaml	.github/workflows/lint.yaml	hacs	5b9b7a0f0f73cc0257f1b41b4904dc9056e9baa1	04d2ec72235a322abe7140afa8cbbd65fa35090a	name: Lint on: pull_request: branches: - main push: branches: - main concurrency: group: lint-${{ github.ref }} cancel-in-progress: true jobs: matrix: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 name: Run ${{ matrix.check }} strategy: matrix: check: - pyupgrade - black - codespell - check-executables-have-shebangs - check-json - requirements-txt-fixer - check-ast - mixed-line-ending steps: - name: 📥 Checkout the repository uses: actions/[email protected] - name: 🛠️ Set up Python uses: actions/[email protected] id: python with: python-version: "3.11" - name: 📦 Install pre-commit run: \| scripts/install/pip_packages pre-commit pre-commit install-hooks --config .github/pre-commit-config.yaml - name: 🏃 Run the check (${{ matrix.check }}) run: pre-commit run --hook-stage manual ${{ matrix.check }} --all-files --config .github/pre-commit-config.yaml lint-json: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 name: With JQ steps: - name: 📥 Checkout the repository uses: actions/[email protected] - name: 🏃 Run validation run: jq -r -e -c . tests/fixtures/*.json env: PIP_INDEX_URL: http://localhost:8629/2023-12-16 UV_INDEX_URL: http://localhost:8629/2023-12-16	[ { "step_name": "Run pyupgrade/5_🏃 Run the check (pyupgrade).txt", "log": "##[group]Run pre-commit run --hook-stage manual pyupgrade --all-files --config .github/pre-commit-config.yaml\n\u001b[36;1mpre-commit run --hook-stage manual pyupgrade --all-files --config .github/pre-commit-config.yaml\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\npyupgrade................................................................Failed\n- hook id: pyupgrade\n- exit code: 1\n- files were modified by this hook\n\nRewriting tests/common.py\n\n##[error]Process completed with exit code 1.\n" }, { "step_name": "Run black/5_🏃 Run the check (black).txt", "log": "##[group]Run pre-commit run --hook-stage manual black --all-files --config .github/pre-commit-config.yaml\n\u001b[36;1mpre-commit run --hook-stage manual black --all-files --config .github/pre-commit-config.yaml\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\nblack....................................................................Failed\n- hook id: black\n- files were modified by this hook\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/tests/common.py b/tests/common.py index 190a2fba..ea30646a 100644 --- a/tests/common.py +++ b/tests/common.py @@ -13,7 +13,13 @@ from unittest.mock import AsyncMock, Mock, patch from aiohttp import ClientSession, ClientWebSocketResponse from aiohttp.typedefs import StrOrURL from awesomeversion import AwesomeVersion -from homeassistant import auth, bootstrap, config_entries, core as ha, config as ha_config +from homeassistant import ( + auth, + bootstrap, + config as ha_config, + config_entries, + core as ha, +) from homeassistant.auth import auth_store, models as auth_models from homeassistant.const import ( EVENT_HOMEASSISTANT_CLOSE, @@ -49,13 +55,13 @@ TOKEN = "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX" INSTANCES = [] REQUEST_CONTEXT: ContextVar[pytest.FixtureRequest] = ContextVar("request_context", default=None) -IGNORED_BASE_FILES = set([ - "/config/automations.yaml", - "/config/configuration.yaml", - "/config/scenes.yaml", - "/config/scripts.yaml", - "/config/secrets.yaml", - ]) +IGNORED_BASE_FILES = { + "/config/automations.yaml", + "/config/configuration.yaml", + "/config/scenes.yaml", + "/config/scripts.yaml", + "/config/secrets.yaml", +} def safe_json_dumps(data: dict \| list) -> str:	2	[ "tests/common.py" ]	https://github.com/hacs/integration/tree/5b9b7a0f0f73cc0257f1b41b4904dc9056e9baa1	2023-12-16T21:16:03Z
Python	60	hacs	integration	proxy-test	Lint	lint.yaml	.github/workflows/lint.yaml	hacs	5fea24b4a3fc4952e83474db5e7dc05af9ec76f6	bcf0ea6453a095804fdadff500d023a5a1e2d2c4	name: Lint on: pull_request: branches: - main push: branches: - main concurrency: group: lint-${{ github.ref }} cancel-in-progress: true jobs: matrix: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 name: Run ${{ matrix.check }} strategy: matrix: check: - pyupgrade - black - codespell - check-executables-have-shebangs - check-json - requirements-txt-fixer - check-ast - mixed-line-ending steps: - name: 📥 Checkout the repository uses: actions/[email protected] - name: 🛠️ Set up Python uses: actions/[email protected] id: python with: python-version: "3.11" - name: 📦 Install pre-commit run: \| scripts/install/pip_packages pre-commit pre-commit install-hooks --config .github/pre-commit-config.yaml - name: 🏃 Run the check (${{ matrix.check }}) run: pre-commit run --hook-stage manual ${{ matrix.check }} --all-files --config .github/pre-commit-config.yaml lint-json: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 name: With JQ steps: - name: 📥 Checkout the repository uses: actions/[email protected] - name: 🏃 Run validation run: jq -r -e -c . tests/fixtures/*.json env: PIP_INDEX_URL: http://localhost:8629/2023-11-17 UV_INDEX_URL: http://localhost:8629/2023-11-17	[ { "step_name": "Run pyupgrade/5_🏃 Run the check (pyupgrade).txt", "log": "##[group]Run pre-commit run --hook-stage manual pyupgrade --all-files --config .github/pre-commit-config.yaml\n\u001b[36;1mpre-commit run --hook-stage manual pyupgrade --all-files --config .github/pre-commit-config.yaml\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n##[endgroup]\npyupgrade................................................................Failed\n- hook id: pyupgrade\n- exit code: 1\n- files were modified by this hook\n\nRewriting tests/repositories/test_get_hacs_json.py\nRewriting tests/repositories/test_get_documentation.py\n\n##[error]Process completed with exit code 1.\n" }, { "step_name": "Run black/5_🏃 Run the check (black).txt", "log": "##[group]Run pre-commit run --hook-stage manual black --all-files --config .github/pre-commit-config.yaml\n\u001b[36;1mpre-commit run --hook-stage manual black --all-files --config .github/pre-commit-config.yaml\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n##[endgroup]\nblack....................................................................Failed\n- hook id: black\n- files were modified by this hook\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/1.0.0/README.md b/tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/1.0.0/README.md index 547ce4ac..530ac586 100644 --- a/tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/1.0.0/README.md +++ b/tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/1.0.0/README.md @@ -1 +1 @@ -## Example readme file \ No newline at end of file +## Example readme file (1.0.0) \ No newline at end of file diff --git a/tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/2.0.0/README.md b/tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/2.0.0/README.md index 547ce4ac..67d48bfd 100644 --- a/tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/2.0.0/README.md +++ b/tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/2.0.0/README.md @@ -1 +1 @@ -## Example readme file \ No newline at end of file +## Example readme file (2.0.0) \ No newline at end of file diff --git a/tests/repositories/test_get_documentation.py b/tests/repositories/test_get_documentation.py index e289d295..0b3bcbb6 100644 --- a/tests/repositories/test_get_documentation.py +++ b/tests/repositories/test_get_documentation.py @@ -1,19 +1,27 @@ - from typing import Any + import pytest + from custom_components.hacs.base import HacsBase from custom_components.hacs.repositories.base import HacsRepository from tests.common import client_session_proxy - [email protected]("data,result", [ - ({"installed": True, "installed_version": "1.0.0"}, "Example readme file"), - ({"installed": False, "last_version": "2.0.0"}, "Example readme file") -]) [email protected]( + "data,result", + [ + ({"installed": True, "installed_version": "1.0.0"}, "Example readme file (1.0.0)"), + ( + {"installed": True, "installed_version": "1.0.0", "last_version": "2.0.0"}, + "Example readme file (1.0.0)", + ), + ({"installed": False, "last_version": "2.0.0"}, "Example readme file (2.0.0)"), + ({"installed": False, "last_version": "99.99.99"}, None), + ], +) @pytest.mark.asyncio -async def test_validate_repository(hacs: HacsBase, data: dict[str, Any], result: str): +async def test_validate_repository(hacs: HacsBase, data: dict[str, Any], result: str \| None): repository = HacsRepository(hacs=hacs) repository.data.full_name = "octocat/integration" for key, value in data.items(): @@ -22,4 +30,7 @@ async def test_validate_repository(hacs: HacsBase, data: dict[str, Any], result: hacs.session = await client_session_proxy(hacs.hass) docs = await repository.get_documentation(filename="README.md") - assert result in docs + if result: + assert result in docs + else: + assert result is None diff --git a/tests/repositories/test_get_hacs_json.py b/tests/repositories/test_get_hacs_json.py index 495f346d..a1a5c2eb 100644 --- a/tests/repositories/test_get_hacs_json.py +++ b/tests/repositories/test_get_hacs_json.py @@ -1,16 +1,12 @@ - import pytest + from custom_components.hacs.base import HacsBase from custom_components.hacs.repositories.base import HacsRepository from tests.common import client_session_proxy - [email protected]("version,name", [ - ("1.0.0", "Proxy integration"), - ("99.99.99", None) -]) [email protected]("version,name", [("1.0.0", "Proxy integration"), ("99.99.99", None)]) @pytest.mark.asyncio async def test_validate_repository(hacs: HacsBase, version: str, name: str \| None): repository = HacsRepository(hacs=hacs)	2	[ "tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/1.0.0/README.md", "tests/fixtures/proxy/raw.githubusercontent.com/octocat/integration/2.0.0/README.md", "tests/repositories/test_get_documentation.py", "tests/repositories/test_get_hacs_json.py" ]	https://github.com/hacs/integration/tree/5fea24b4a3fc4952e83474db5e7dc05af9ec76f6	2023-11-17T17:36:01Z
Python	68	optuna	optuna	doc/remove-motpe-sampler-and-add-its-description-to-tpe-sampler	Sphinx	sphinx-build.yml	.github/workflows/sphinx-build.yml	nabenabe0928	0b08b8e82f8e67d89dd4335e63ecd95ab6f5f048	c0834a225b9fb703b6aacb789dd822f1b4c8dd21	name: Sphinx on: push: branches: - master pull_request: {} concurrency: group: ${{ github.workflow }}-${{ github.ref == 'refs/heads/master' && github.run_number \|\| github.ref }} cancel-in-progress: true jobs: documentation: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 with: python-version: 3.8 # note (crcrpar): We've not updated tutorial frequently enough so far thus # it'd be okay to discard cache by any small changes including typo fix under tutorial directory. - name: Sphinx Gallery Cache uses: actions/cache@v3 env: cache-name: sphx-glry-documentation with: path: \| tutorial/MNIST docs/source/tutorial key: py3.8-${{ env.cache-name }}-${{ hashFiles('tutorial/*/') }} - name: Install Dependencies run: \| python -m pip install -U pip pip install --progress-bar off -U .[document] --extra-index-url https://download.pytorch.org/whl/cpu - name: Output installed packages run: \| pip freeze --all - name: Output dependency tree run: \| pip install pipdeptree pipdeptree - name: Build Document run: \| cd docs make html cd ../ - uses: actions/upload-artifact@v3 with: name: built-html path: \| docs/build/html - uses: actions/upload-artifact@v3 with: name: tutorial path: \| docs/source/tutorial doctest: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 with: python-version: 3.8 - name: Sphinx Gallery Cache uses: actions/cache@v3 env: cache-name: sphx-glry-doctest with: path: \| tutorial/MNIST docs/source/tutorial key: py3.8-${{ env.cache-name }}-${{ hashFiles('tutorial/*/') }} - name: Install Dependencies run: \| python -m pip install -U pip pip install --progress-bar off -U .[document] --extra-index-url https://download.pytorch.org/whl/cpu - name: Output installed packages run: \| pip freeze --all - name: Output dependency tree run: \| pip install pipdeptree pipdeptree - name: Run Doctest run: \| cd docs make doctest env: PIP_INDEX_URL: http://localhost:8629/2023-11-01 UV_INDEX_URL: http://localhost:8629/2023-11-01	[ { "step_name": "doctest/8_Run Doctest.txt", "log": "##[group]Run cd docs\n\u001b[36;1mcd docs\u001b[0m\n\u001b[36;1mmake doctest\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nsphinx-autogen source/*/.rst\n[autosummary] generating autosummary for: source/reference/artifacts.rst, source/reference/cli.rst, source/reference/distributions.rst, source/reference/exceptions.rst, source/reference/importance.rst, source/reference/index.rst, source/reference/integration.rst, source/reference/logging.rst, source/reference/optuna.rst, source/reference/pruners.rst, source/reference/search_space.rst, source/reference/storages.rst, source/reference/study.rst, source/reference/terminator.rst, source/reference/trial.rst, source/tutorial/index.rst\n[autosummary] generating autosummary for: /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.TrialPruned.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.Backoff.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.Boto3ArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.FileSystemArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.GCSArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.upload_artifact.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.copy_study.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.create_study.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.delete_study.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.CategoricalDistribution.rst, ..., /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.terminator.RegretBoundEvaluator.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.terminator.StaticErrorEvaluator.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.terminator.Terminator.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.terminator.TerminatorCallback.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.terminator.report_cross_validation_scores.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.trial.FixedTrial.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.trial.FrozenTrial.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.trial.Trial.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.trial.TrialState.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.trial.create_trial.rst\nRunning Sphinx v7.1.2\nmaking output directory... done\nUsing Sphinx-Gallery to convert rst text blocks to markdown for .ipynb files.\n[autosummary] generating autosummary for: faq.rst, index.rst, installation.rst, license_thirdparty.rst, privacy.rst, reference/artifacts.rst, reference/cli.rst, reference/distributions.rst, reference/exceptions.rst, reference/generated/optuna.TrialPruned.rst, ..., reference/samplers/index.rst, reference/samplers/nsgaii.rst, reference/search_space.rst, reference/storages.rst, reference/study.rst, reference/terminator.rst, reference/trial.rst, reference/visualization/index.rst, reference/visualization/matplotlib.rst, tutorial/index.rst\n[autosummary] generating autosummary for: /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.Backoff.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.Boto3ArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.FileSystemArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.GCSArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.CategoricalDistribution.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.DiscreteUniformDistribution.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.FloatDistribution.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.IntDistribution.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.IntLogUniformDistribution.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.IntUniformDistribution.rst, ..., /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_hypervolume_history.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_intermediate_values.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_optimization_history.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_parallel_coordinate.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_param_importances.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_pareto_front.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_rank.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_slice.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_terminator_improvement.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_timeline.rst\nloading intersphinx inventory from https://docs.python.org/3/objects.inv...\nloading intersphinx inventory from https://distributed.dask.org/en/stable/objects.inv...\nloading intersphinx inventory from https://lightgbm.readthedocs.io/en/latest/objects.inv...\nloading intersphinx inventory from https://matplotlib.org/stable/objects.inv...\nloading intersphinx inventory from https://numpy.org/doc/stable/objects.inv...\nloading intersphinx inventory from https://docs.scipy.org/doc/scipy/objects.inv...\nloading intersphinx inventory from https://scikit-learn.org/stable/objects.inv...\nloading intersphinx inventory from https://pytorch.org/docs/stable/objects.inv...\nloading intersphinx inventory from https://pandas.pydata.org/docs/objects.inv...\nloading intersphinx inventory from https://plotly.com/python-api-reference/objects.inv...\ngenerating gallery...\n[I 2023-11-01 05:06:52,260] A new study created in memory with name: no-name-ec490657-3332-406a-9faa-d6af677bbbec\n[I 2023-11-01 05:06:52,261] Trial 0 finished with value: 26.608714791257388 and parameters: {'x': -3.1583635768775924}. Best is trial 0 with value: 26.608714791257388.\n[I 2023-11-01 05:06:52,262] Trial 1 finished with value: 1.5285752915058195 and parameters: {'x': 3.2363556492796963}. Best is trial 1 with value: 1.5285752915058195.\n[I 2023-11-01 05:06:52,262] Trial 2 finished with value: 62.61511060819589 and parameters: {'x': -5.912971035470552}. Best is trial 1 with value: 1.5285752915058195.\n[I 2023-11-01 05:06:52,263] Trial 3 finished with value: 13.270676902855739 and parameters: {'x': -1.6428940284965385}. Best is trial 1 with value: 1.5285752915058195.\n[I 2023-11-01 05:06:52,263] Trial 4 finished with value: 0.06747860131740525 and parameters: {'x': 2.259766436087123}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,264] Trial 5 finished with value: 61.93462043790284 and parameters: {'x': -5.869855172612953}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,264] Trial 6 finished with value: 8.529241838009128 and parameters: {'x': 4.9204865755570815}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,265] Trial 7 finished with value: 6.327280416306507 and parameters: {'x': 4.515408598281104}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,265] Trial 8 finished with value: 34.87678251007827 and parameters: {'x': -3.9056568229180293}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,266] Trial 9 finished with value: 5.85614322177441 and parameters: {'x': -0.41994694606605165}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,272] Trial 10 finished with value: 41.49873929915151 and parameters: {'x': 8.441951513256795}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,277] Trial 11 finished with value: 0.08190012289686961 and parameters: {'x': 1.7138180248567887}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,282] Trial 12 finished with value: 122.27482876022076 and parameters: {'x': -9.05779493209296}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,287] Trial 13 finished with value: 0.1103268056442651 and parameters: {'x': 1.6678452083075346}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,293] Trial 14 finished with value: 1.239806570001033 and parameters: {'x': 0.8865339834548012}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,300] Trial 15 finished with value: 29.33277548813995 and parameters: {'x': 7.415974103348349}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,305] Trial 16 finished with value: 0.04002250139876792 and parameters: {'x': 1.7999437544119956}. Best is trial 16 with value: 0.04002250139876792.\n[I 2023-11-01 05:06:52,310] Trial 17 finished with value: 11.131224898493468 and parameters: {'x': 5.336349037270152}. Best is trial 16 with value: 0.04002250139876792.\n[I 2023-11-01 05:06:52,315] Trial 18 finished with value: 0.42213929972985975 and parameters: {'x': 2.6497224790091995}. Best is trial 16 with value: 0.04002250139876792.\n[I 2023-11-01 05:06:52,321] Trial 19 finished with value: 5.986613479725296 and parameters: {'x': -0.44675570495407146}. Best is trial 16 with value: 0.04002250139876792.\n[I 2023-11-01 05:06:52,326] Trial 20 finished with value: 23.390376393441542 and parameters: {'x': 6.836359828780479}. Best is trial 16 with value: 0.04002250139876792.\n[I 2023-11-01 05:06:52,331] Trial 21 finished with value: 0.03152288205560932 and parameters: {'x': 1.8224531553206047}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,337] Trial 22 finished with value: 2.2797419051239296 and parameters: {'x': 3.5098814208817624}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,342] Trial 23 finished with value: 60.707266557023715 and parameters: {'x': 9.79148680015719}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,347] Trial 24 finished with value: 1.9983058273111458 and parameters: {'x': 0.5863855450261037}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,352] Trial 25 finished with value: 0.27255197998168285 and parameters: {'x': 2.522065110864232}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,358] Trial 26 finished with value: 3.8339596133140934 and parameters: {'x': 3.958049951690225}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,364] Trial 27 finished with value: 15.797502171649247 and parameters: {'x': 5.974607171991875}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,369] Trial 28 finished with value: 0.036032534445352295 and parameters: {'x': 2.189822376039687}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,375] Trial 29 finished with value: 14.648704718863884 and parameters: {'x': -1.8273626322657075}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,380] Trial 30 finished with value: 1.0269261088545933 and parameters: {'x': 0.9866263725285755}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,386] Trial 31 finished with value: 0.14994724527244452 and parameters: {'x': 1.6127697774289247}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,391] Trial 32 finished with value: 2.095181403370709 and parameters: {'x': 3.4474741460111504}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,397] Trial 33 finished with value: 0.22103028406150582 and parameters: {'x': 2.470138579635309}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,402] Trial 34 finished with value: 4.808124813926069 and parameters: {'x': -0.192743672645316}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,408] Trial 35 finished with value: 2.667684266770483 and parameters: {'x': 3.633304707263921}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,414] Trial 36 finished with value: 6.223307412268121 and parameters: {'x': 4.494655770295397}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,419] Trial 37 finished with value: 10.886106074137919 and parameters: {'x': -1.2994099584831709}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,424] Trial 38 finished with value: 9.344296986739726 and parameters: {'x': 5.056844285654689}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,430] Trial 39 finished with value: 0.03674555820263529 and parameters: {'x': 2.191691309669049}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,435] Trial 40 finished with value: 0.9188229435958446 and parameters: {'x': 2.958552525214891}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,440] Trial 41 finished with value: 0.00034717018847745906 and parameters: {'x': 1.9813674964516987}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,446] Trial 42 finished with value: 2.619120131897846 and parameters: {'x': 0.3816304093632239}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,451] Trial 43 finished with value: 0.12683816720242805 and parameters: {'x': 1.6438565356454957}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,457] Trial 44 finished with value: 0.07131841255934805 and parameters: {'x': 2.267055074019102}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,462] Trial 45 finished with value: 4.992843783751005 and parameters: {'x': 4.234467225929037}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,467] Trial 46 finished with value: 1.2321955101630584 and parameters: {'x': 0.8899569782377539}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,473] Trial 47 finished with value: 8.882543126285444 and parameters: {'x': -0.9803595632549849}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,478] Trial 48 finished with value: 17.79971460302885 and parameters: {'x': -2.2189707990253797}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,483] Trial 49 finished with value: 3.603912201007066 and parameters: {'x': 0.10160272835028916}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,489] Trial 50 finished with value: 1.2683340411217978 and parameters: {'x': 3.1262033746716433}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,494] Trial 51 finished with value: 0.0039178234777032354 and parameters: {'x': 1.9374074806570047}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,499] Trial 52 finished with value: 0.35520398581016316 and parameters: {'x': 1.4040100791035446}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,504] Trial 53 finished with value: 0.00042813986239516116 and parameters: {'x': 1.9793084591585073}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,510] Trial 54 finished with value: 0.0020887609244023622 and parameters: {'x': 2.045702964065828}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,515] Trial 55 finished with value: 0.7737692767703207 and parameters: {'x': 2.87964156152965}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,520] Trial 56 finished with value: 0.9164401942170134 and parameters: {'x': 1.042691170929144}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,526] Trial 57 finished with value: 3.012310015670226 and parameters: {'x': 0.2643992349419104}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,531] Trial 58 finished with value: 3.296708433144217 and parameters: {'x': 3.815684012471393}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,537] Trial 59 finished with value: 7.004590546965399 and parameters: {'x': -0.6466187007133078}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,542] Trial 60 finished with value: 9.52035594438783e-05 and parameters: {'x': 2.0097572311361307}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,548] Trial 61 finished with value: 0.14922466349020133 and parameters: {'x': 2.3862960826751953}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,553] Trial 62 finished with value: 0.02991706214469467 and parameters: {'x': 1.827034505913189}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,558] Trial 63 finished with value: 0.202400583996796 and parameters: {'x': 1.5501104757867816}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,564] Trial 64 finished with value: 1.2606421607247438 and parameters: {'x': 0.8772167792825083}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,569] Trial 65 finished with value: 1.299118549404685 and parameters: {'x': 3.1397888178977214}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,575] Trial 66 finished with value: 4.450895898329239 and parameters: {'x': -0.10971464855540103}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,580] Trial 67 finished with value: 0.03088479384351814 and parameters: {'x': 1.824259299410984}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,586] Trial 68 finished with value: 5.332971739906828 and parameters: {'x': 4.309322788158214}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,591] Trial 69 finished with value: 0.6271268853930936 and parameters: {'x': 1.208086566982796}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,597] Trial 70 finished with value: 0.007719178236032712 and parameters: {'x': 2.0878588540559955}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,602] Trial 71 finished with value: 0.012661624433072366 and parameters: {'x': 1.8874761161660674}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,608] Trial 72 finished with value: 1.9794461764262585 and parameters: {'x': 0.5930720784538184}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,614] Trial 73 finished with value: 1.2368870640660339 and parameters: {'x': 3.112154244727787}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,619] Trial 74 finished with value: 0.3880469786902271 and parameters: {'x': 2.622934168825428}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,625] Trial 75 finished with value: 3.4042775619536743 and parameters: {'x': 3.8450684437043723}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,631] Trial 76 finished with value: 2.079245934316126 and parameters: {'x': 3.4419590612483164}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,636] Trial 77 finished with value: 0.010562340631641274 and parameters: {'x': 2.1027732486187007}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,642] Trial 78 finished with value: 0.0005364228531103238 and parameters: {'x': 2.0231608042414404}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,648] Trial 79 finished with value: 0.46940820454763404 and parameters: {'x': 2.685133712896712}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,653] Trial 80 finished with value: 2.041032452665234 and parameters: {'x': 0.5713529292840607}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,659] Trial 81 finished with value: 0.018334572014982113 and parameters: {'x': 2.1354052141351363}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,664] Trial 82 finished with value: 0.00023888961001901598 and parameters: {'x': 1.984543945845753}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,670] Trial 83 finished with value: 0.7162777033771291 and parameters: {'x': 1.1536680891180287}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,675] Trial 84 finished with value: 0.4129379896263159 and parameters: {'x': 2.6426025129318402}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,681] Trial 85 finished with value: 0.4137478576458505 and parameters: {'x': 1.3567676487878968}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,686] Trial 86 finished with value: 2.084447275652484 and parameters: {'x': 3.443761502344651}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,692] Trial 87 finished with value: 8.183821197705687 and parameters: {'x': 4.8607378764412665}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,698] Trial 88 finished with value: 0.1281480021517645 and parameters: {'x': 2.3579776559392562}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,703] Trial 89 finished with value: 3.4607527987768063 and parameters: {'x': 0.13969013366675753}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,709] Trial 90 finished with value: 0.021947604417298688 and parameters: {'x': 2.1481472389796674}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,715] Trial 91 finished with value: 0.0005660721930479176 and parameters: {'x': 1.9762077282915667}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,720] Trial 92 finished with value: 0.8713972154630523 and parameters: {'x': 2.933486590939073}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,726] Trial 93 finished with value: 0.17529342491340852 and parameters: {'x': 1.581319423768658}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,731] Trial 94 finished with value: 1.5719042453384775 and parameters: {'x': 0.7462439450441416}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,737] Trial 95 finished with value: 0.5388814779848659 and parameters: {'x': 1.2659145295097676}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,743] Trial 96 finished with value: 0.0038909507156649694 and parameters: {'x': 2.0623774856471866}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,748] Trial 97 finished with value: 3.2921552986347877 and parameters: {'x': 3.814429744750341}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,754] Trial 98 finished with value: 0.6657259605136908 and parameters: {'x': 2.8159203150514704}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,760] Trial 99 finished with value: 0.03229801578929924 and parameters: {'x': 1.8202835127505013}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,784] Trial 100 finished with value: 1.7977761460270023 and parameters: {'x': 3.340811748914441}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,790] Trial 101 finished with value: 0.0015492781617407647 and parameters: {'x': 2.0393608709474367}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,795] Trial 102 finished with value: 0.38745474241702155 and parameters: {'x': 1.377541372927468}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,801] Trial 103 finished with value: 0.290390960306263 and parameters: {'x': 2.538879355984494}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,807] Trial 104 finished with value: 1.4702567506803865 and parameters: {'x': 0.7874585571287114}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,812] Trial 105 finished with value: 2.5834200423581404 and parameters: {'x': 0.39269789947311384}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,818] Trial 106 finished with value: 0.012297194796291239 and parameters: {'x': 2.1108927175079195}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,823] Trial 107 finished with value: 0.7629299986844984 and parameters: {'x': 1.126541358343454}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,829] Trial 108 finished with value: 1.2993761658491407 and parameters: {'x': 3.139901822899297}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,835] Trial 109 finished with value: 4.548133553679544 and parameters: {'x': 4.132635354128676}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,840] Trial 110 finished with value: 0.023689542742086577 and parameters: {'x': 1.8460859241586833}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,846] Trial 111 finished with value: 0.055444269754601976 and parameters: {'x': 2.2354660692214527}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,852] Trial 112 finished with value: 0.5847192650232681 and parameters: {'x': 2.76466938282062}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,857] Trial 113 finished with value: 0.2899129176879371 and parameters: {'x': 1.4615643792541795}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,863] Trial 114 finished with value: 0.032535087837991236 and parameters: {'x': 2.180374853674206}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,869] Trial 115 finished with value: 0.020159864570020378 and parameters: {'x': 1.8580145621198414}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,875] Trial 116 finished with value: 0.9879295616051216 and parameters: {'x': 1.0060535418820984}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,880] Trial 117 finished with value: 2.551364606636544 and parameters: {'x': 3.5972991600312523}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,886] Trial 118 finished with value: 4.516099912776148 and parameters: {'x': -0.1251117412447158}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,892] Trial 119 finished with value: 0.24720642514466806 and parameters: {'x': 2.4971985771748226}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,897] Trial 120 finished with value: 1.1985053056002706 and parameters: {'x': 3.094762670901904}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,903] Trial 121 finished with value: 0.017754796280656574 and parameters: {'x': 2.1332471248494937}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,909] Trial 122 finished with value: 0.13659655806605955 and parameters: {'x': 1.6304102841446213}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,915] Trial 123 finished with value: 0.0007676543544602042 and parameters: {'x': 2.0277065760147335}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,921] Trial 124 finished with value: 2.0071958786712862 and parameters: {'x': 0.583244594620763}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,927] Trial 125 finished with value: 0.3308586659802233 and parameters: {'x': 2.575203151921322}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,932] Trial 126 finished with value: 0.2125129602248248 and parameters: {'x': 1.5390087200121625}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,938] Trial 127 finished with value: 0.6259951561439652 and parameters: {'x': 1.208801443287486}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,944] Trial 128 finished with value: 0.7859687714896907 and parameters: {'x': 2.8865487981435036}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,949] Trial 129 finished with value: 0.0006006820548318606 and parameters: {'x': 1.9754911841405616}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,955] Trial 130 finished with value: 2.2429562501708737 and parameters: {'x': 3.4976502429375405}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,961] Trial 131 finished with value: 0.00011253701871529082 and parameters: {'x': 1.9893916533467608}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,967] Trial 132 finished with value: 0.0209618098622641 and parameters: {'x': 1.8552180609942521}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,972] Trial 133 finished with value: 0.17621392417763895 and parameters: {'x': 2.41977842271565}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,978] Trial 134 finished with value: 1.4533589646647718 and parameters: {'x': 0.7944466147595239}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,984] Trial 135 finished with value: 0.4174340790762665 and parameters: {'x': 1.3539086139900436}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,990] Trial 136 finished with value: 2.777605885776695 and parameters: {'x': 0.3333849017314481}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,995] Trial 137 finished with value: 0.8883978527105661 and parameters: {'x': 2.9425485943496845}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:53,001] Trial 138 finished with value: 7.287764723062673e-06 and parameters: {'x': 2.0026995860280907}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,007] Trial 139 finished with value: 0.1908167698458435 and parameters: {'x': 1.5631742111025912}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,013] Trial 140 finished with value: 0.982539312337715 and parameters: {'x': 1.0087687896672568}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,018] Trial 141 finished with value: 0.0011628353041402502 and parameters: {'x': 2.034100371026431}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,024] Trial 142 finished with value: 0.1477837656309404 and parameters: {'x': 2.384426541267562}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,030] Trial 143 finished with value: 0.0392530943660645 and parameters: {'x': 1.801876063116885}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,035] Trial 144 finished with value: 0.3726630781423081 and parameters: {'x': 2.6104613649874233}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,041] Trial 145 finished with value: 1.5037231427469366 and parameters: {'x': 3.2262638960464165}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,047] Trial 146 finished with value: 8.930459546692173e-05 and parameters: {'x': 1.9905498891293847}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,053] Trial 147 finished with value: 0.5262730092186017 and parameters: {'x': 1.2745532347452353}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,059] Trial 148 finished with value: 0.03468330934633238 and parameters: {'x': 2.186234554651741}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,065] Trial 149 finished with value: 0.6561418640590586 and parameters: {'x': 2.8100258415995496}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,071] Trial 150 finished with value: 0.03455445881272944 and parameters: {'x': 1.8141117034003231}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,077] Trial 151 finished with value: 0.00016291918048279416 and parameters: {'x': 1.987236020194203}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,083] Trial 152 finished with value: 0.1553347660191627 and parameters: {'x': 2.394125317658182}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,089] Trial 153 finished with value: 0.22797095404488588 and parameters: {'x': 1.522536960545755}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,095] Trial 154 finished with value: 1.6252264649018378 and parameters: {'x': 0.7251562978537966}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,101] Trial 155 finished with value: 0.0003107441476857592 and parameters: {'x': 1.9823720634308561}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,107] Trial 156 finished with value: 0.6484228362854632 and parameters: {'x': 1.1947529346309524}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,113] Trial 157 finished with value: 3.606314473317992 and parameters: {'x': 3.899029876889248}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,119] Trial 158 finished with value: 1.485900536901773 and parameters: {'x': 3.2189751994613234}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,125] Trial 159 finished with value: 5.571555943083334e-07 and parameters: {'x': 2.0007464285594136}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,131] Trial 160 finished with value: 0.3458850264082026 and parameters: {'x': 2.58811990818897}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,137] Trial 161 finished with value: 0.0012573926077099906 and parameters: {'x': 1.9645402677997987}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,143] Trial 162 finished with value: 0.08996503427815297 and parameters: {'x': 1.7000582818643712}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,149] Trial 163 finished with value: 4.053186084098206e-05 and parameters: {'x': 2.006366463762638}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,155] Trial 164 finished with value: 0.8599437283498954 and parameters: {'x': 1.0726684905871604}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,161] Trial 165 finished with value: 0.15142353224696364 and parameters: {'x': 2.3891317672035575}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,167] Trial 166 finished with value: 0.12678853589781203 and parameters: {'x': 1.6439262212717538}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,173] Trial 167 finished with value: 0.6124097371858583 and parameters: {'x': 2.7825661232035657}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,179] Trial 168 finished with value: 0.0007524802517180948 and parameters: {'x': 2.0274313734931027}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,185] Trial 169 finished with value: 0.3625921356521654 and parameters: {'x': 1.3978437614271813}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,191] Trial 170 finished with value: 2.977781431940371 and parameters: {'x': 0.27437506046639126}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,197] Trial 171 finished with value: 0.0036529565650316835 and parameters: {'x': 2.0604396936212592}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,203] Trial 172 finished with value: 0.005102265546228446 and parameters: {'x': 1.9285698554794375}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,209] Trial 173 finished with value: 0.14773664354757124 and parameters: {'x': 2.3843652475804378}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,215] Trial 174 finished with value: 0.7716860532460863 and parameters: {'x': 2.8784566313974107}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,222] Trial 175 finished with value: 1.0892766979534005 and parameters: {'x': 0.9563158054500391}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,228] Trial 176 finished with value: 0.08563815801306056 and parameters: {'x': 1.7073600197972592}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,234] Trial 177 finished with value: 0.04203893691246153 and parameters: {'x': 2.2050339896516222}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,240] Trial 178 finished with value: 2.0208840436138202 and parameters: {'x': 3.4215780117931693}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,246] Trial 179 finished with value: 0.34835760338758703 and parameters: {'x': 1.409781732417924}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,252] Trial 180 finished with value: 0.4470981958472258 and parameters: {'x': 2.668654018044628}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,259] Trial 181 finished with value: 0.009857507394026792 and parameters: {'x': 1.9007150192928115}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,265] Trial 182 finished with value: 0.024833541032370725 and parameters: {'x': 2.157586614381967}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,271] Trial 183 finished with value: 0.010286709971932408 and parameters: {'x': 1.8985765807521142}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,278] Trial 184 finished with value: 0.2031001081037554 and parameters: {'x': 2.4506662935074637}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,284] Trial 185 finished with value: 0.2937193146517275 and parameters: {'x': 1.458041224213753}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,290] Trial 186 finished with value: 1.096744472882214 and parameters: {'x': 3.0472556864883638}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,297] Trial 187 finished with value: 1.265630771745698 and parameters: {'x': 0.8749974347826144}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,303] Trial 188 finished with value: 0.007264540001865099 and parameters: {'x': 2.0852322708946858}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,309] Trial 189 finished with value: 0.5860713232470158 and parameters: {'x': 1.2344470473918765}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,315] Trial 190 finished with value: 0.13859698316225091 and parameters: {'x': 1.6277138423708841}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,321] Trial 191 finished with value: 0.1437858423743974 and parameters: {'x': 2.37919103678014}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,327] Trial 192 finished with value: 0.0013242415425513698 and parameters: {'x': 1.9636098702592122}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,333] Trial 193 finished with value: 0.000944399679360933 and parameters: {'x': 1.969268913469242}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,339] Trial 194 finished with value: 0.39192080206158825 and parameters: {'x': 2.6260357833715164}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,345] Trial 195 finished with value: 0.08694635068699279 and parameters: {'x': 1.705133334052503}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,351] Trial 196 finished with value: 0.007331088410886693 and parameters: {'x': 2.085621775331318}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,357] Trial 197 finished with value: 0.8764518381388364 and parameters: {'x': 2.936190065178453}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,364] Trial 198 finished with value: 1.7679372567216034 and parameters: {'x': 0.6703619828232936}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,370] Trial 199 finished with value: 0.437360507702615 and parameters: {'x': 1.3386676269056421}. Best is trial 159 with value: 5.571555943083334e-07.\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 20%] 001_first.py\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 40%] 002_configurations.py\n[I 2023-11-01 05:06:53,819] A new study created in memory with name: no-name-c98cc390-1e1d-4500-8156-80aca2433df2\n[I 2023-11-01 05:06:53,820] A new study created in memory with name: no-name-a7bca16f-16b0-4bb3-aa4e-ebfe5119a2fa\n[I 2023-11-01 05:06:53,820] A new study created in memory with name: no-name-06bf416c-6691-47a9-b7df-1cf6d959645f\n[I 2023-11-01 05:06:53,858] A new study created in memory with name: no-name-615497d2-db57-4505-ba63-a1c110cb44e3\n[I 2023-11-01 05:06:54,101] Trial 0 finished with value: 0.07894736842105265 and parameters: {'alpha': 0.00032647483001837867}. Best is trial 0 with value: 0.07894736842105265.\n[I 2023-11-01 05:06:54,339] Trial 1 finished with value: 0.02631578947368418 and parameters: {'alpha': 0.004348236984547518}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:54,578] Trial 2 finished with value: 0.3157894736842105 and parameters: {'alpha': 0.0003852959755573086}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:54,815] Trial 3 finished with value: 0.07894736842105265 and parameters: {'alpha': 0.010649406919174391}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:55,052] Trial 4 finished with value: 0.13157894736842102 and parameters: {'alpha': 0.0007825615017938177}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:55,057] Trial 5 pruned. \n[I 2023-11-01 05:06:55,063] Trial 6 pruned. \n[I 2023-11-01 05:06:55,324] Trial 7 finished with value: 0.23684210526315785 and parameters: {'alpha': 0.0017470067379907659}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:55,329] Trial 8 pruned. \n[I 2023-11-01 05:06:55,590] Trial 9 finished with value: 0.052631578947368474 and parameters: {'alpha': 0.012155791296470103}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:55,601] Trial 10 pruned. \n[I 2023-11-01 05:06:55,867] Trial 11 finished with value: 0.39473684210526316 and parameters: {'alpha': 1.4157956202798484e-05}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:55,877] Trial 12 pruned. \n[I 2023-11-01 05:06:55,887] Trial 13 pruned. \n[I 2023-11-01 05:06:55,897] Trial 14 pruned. \n[I 2023-11-01 05:06:56,164] Trial 15 finished with value: 0.052631578947368474 and parameters: {'alpha': 0.020237302363224755}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:56,175] Trial 16 pruned. \n[I 2023-11-01 05:06:56,185] Trial 17 pruned. \n[I 2023-11-01 05:06:56,195] Trial 18 pruned. \n[I 2023-11-01 05:06:56,205] Trial 19 pruned. \n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 60%] 003_efficient_optimization_algorithms.py\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 80%] 004_distributed.py\n[I 2023-11-01 05:06:56,641] A new study created in memory with name: no-name-e0e6c113-a6c6-4f37-af4e-af661b994556\n[I 2023-11-01 05:06:56,679] Trial 0 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.6247240713084175, 'bagging_freq': 7, 'min_child_samples': 75}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:06:56,775] Trial 1 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.759195090518222, 'bagging_freq': 2, 'min_child_samples': 19}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:06:56,806] Trial 2 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.4348501673009197, 'bagging_freq': 7, 'min_child_samples': 62}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:06:56,840] Trial 3 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.8248435466776274, 'bagging_freq': 1, 'min_child_samples': 98}. Best is trial 3 with value: 0.9790209790209791.\n[I 2023-11-01 05:06:56,952] Trial 4 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.899465584480253, 'bagging_freq': 2, 'min_child_samples': 22}. Best is trial 3 with value: 0.9790209790209791.\n[I 2023-11-01 05:06:57,013] Trial 5 finished with value: 0.993006993006993 and parameters: {'bagging_fraction': 0.5100427059120604, 'bagging_freq': 3, 'min_child_samples': 55}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:57,029] Trial 6 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,045] Trial 7 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,067] Trial 8 pruned. Trial was pruned at iteration 14.\n[I 2023-11-01 05:06:57,102] Trial 9 pruned. Trial was pruned at iteration 18.\n[I 2023-11-01 05:06:57,146] Trial 10 pruned. Trial was pruned at iteration 28.\n[I 2023-11-01 05:06:57,189] Trial 11 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,268] Trial 12 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.9733907188988407, 'bagging_freq': 1, 'min_child_samples': 98}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:57,301] Trial 13 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,333] Trial 14 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,367] Trial 15 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,400] Trial 16 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,436] Trial 17 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,531] Trial 18 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.9905077333938093, 'bagging_freq': 2, 'min_child_samples': 54}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:57,564] Trial 19 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,597] Trial 20 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,674] Trial 21 pruned. Trial was pruned at iteration 70.\n[I 2023-11-01 05:06:57,709] Trial 22 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,743] Trial 23 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,780] Trial 24 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,949] Trial 25 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.9539760625736883, 'bagging_freq': 1, 'min_child_samples': 5}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:57,984] Trial 26 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,020] Trial 27 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,055] Trial 28 pruned. Trial was pruned at iteration 11.\n[I 2023-11-01 05:06:58,091] Trial 29 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,125] Trial 30 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,161] Trial 31 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,207] Trial 32 pruned. Trial was pruned at iteration 18.\n[I 2023-11-01 05:06:58,244] Trial 33 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,280] Trial 34 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,317] Trial 35 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,355] Trial 36 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,392] Trial 37 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,436] Trial 38 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,473] Trial 39 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,512] Trial 40 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,555] Trial 41 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,595] Trial 42 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,653] Trial 43 pruned. Trial was pruned at iteration 18.\n[I 2023-11-01 05:06:58,752] Trial 44 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.8823409487656904, 'bagging_freq': 1, 'min_child_samples': 48}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:58,790] Trial 45 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,828] Trial 46 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,866] Trial 47 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,904] Trial 48 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,943] Trial 49 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,981] Trial 50 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,017] Trial 51 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,057] Trial 52 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,101] Trial 53 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,142] Trial 54 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,267] Trial 55 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.973380947872035, 'bagging_freq': 2, 'min_child_samples': 39}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:59,308] Trial 56 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,350] Trial 57 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,389] Trial 58 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,428] Trial 59 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,468] Trial 60 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,515] Trial 61 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,558] Trial 62 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,596] Trial 63 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,637] Trial 64 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,676] Trial 65 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,716] Trial 66 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,755] Trial 67 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,795] Trial 68 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,836] Trial 69 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,875] Trial 70 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,913] Trial 71 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,950] Trial 72 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,988] Trial 73 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,026] Trial 74 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,069] Trial 75 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,109] Trial 76 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,147] Trial 77 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,186] Trial 78 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,231] Trial 79 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,271] Trial 80 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,320] Trial 81 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,469] Trial 82 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.8183457327801615, 'bagging_freq': 3, 'min_child_samples': 22}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:07:00,515] Trial 83 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,555] Trial 84 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,597] Trial 85 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,640] Trial 86 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,682] Trial 87 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,731] Trial 88 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,775] Trial 89 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,814] Trial 90 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,861] Trial 91 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,903] Trial 92 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,949] Trial 93 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,996] Trial 94 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:01,036] Trial 95 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:01,081] Trial 96 pruned. Trial was pruned at iteration 21.\n[I 2023-11-01 05:07:01,123] Trial 97 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:01,166] Trial 98 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:01,210] Trial 99 pruned. Trial was pruned at iteration 10.\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [100%] 005_visualization.py\n[I 2023-11-01 05:07:02,876] A new study created in RDB with name: example-study\n[I 2023-11-01 05:07:02,956] Trial 0 finished with value: 0.33490634481534554 and parameters: {'x': 2.5787109337271463}. Best is trial 0 with value: 0.33490634481534554.\n[I 2023-11-01 05:07:03,005] Trial 1 finished with value: 26.67211255173214 and parameters: {'x': 7.164505063578904}. Best is trial 0 with value: 0.33490634481534554.\n[I 2023-11-01 05:07:03,055] Trial 2 finished with value: 14.314840521575489 and parameters: {'x': -1.783495806998534}. Best is trial 0 with value: 0.33490634481534554.\n[I 2023-11-01 05:07:03,099] Using an existing study with name 'example-study' instead of creating a new one.\n[I 2023-11-01 05:07:03,176] Trial 3 finished with value: 41.27136646058192 and parameters: {'x': 8.424279450691877}. Best is trial 0 with value: 0.33490634481534554.\n[I 2023-11-01 05:07:03,226] Trial 4 finished with value: 31.190927670689717 and parameters: {'x': 7.584883854717994}. Best is trial 0 with value: 0.33490634481534554.\n[I 2023-11-01 05:07:03,285] Trial 5 finished with value: 107.56513627120556 and parameters: {'x': -8.371361350912693}. Best is trial 0 with value: 0.33490634481534554.\n[I 2023-11-01 05:07:03,324] Using an existing study with name 'example-study' instead of creating a new one.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 8%] 001_rdb.py\n[I 2023-11-01 05:07:04,398] A new study created in memory with name: no-name-002515b0-fa3e-4de1-b56c-aa05d116f06a\n[I 2023-11-01 05:07:16,479] Trial 0 finished with values: [105348.0, 0.79140625] and parameters: {'n_layers': 3, 'n_units_l0': 104, 'dropout_0': 0.24956895433948517, 'n_units_l1': 104, 'dropout_1': 0.35496815252355707, 'n_units_l2': 114, 'dropout_2': 0.46325134857234446, 'lr': 0.0007698151792807535}. \n[I 2023-11-01 05:07:21,071] Trial 1 finished with values: [60874.0, 0.69609375] and parameters: {'n_layers': 2, 'n_units_l0': 76, 'dropout_0': 0.24983659065722524, 'n_units_l1': 15, 'dropout_1': 0.46926815958785756, 'lr': 0.0016611774401982106}. \n[I 2023-11-01 05:07:25,804] Trial 2 finished with values: [107624.0, 0.7] and parameters: {'n_layers': 2, 'n_units_l0': 126, 'dropout_0': 0.24684311505551484, 'n_units_l1': 65, 'dropout_1': 0.3961075714179222, 'lr': 0.02225462006839636}. \n[I 2023-11-01 05:07:30,227] Trial 3 finished with values: [5558.0, 0.20625] and parameters: {'n_layers': 1, 'n_units_l0': 7, 'dropout_0': 0.4435641144230779, 'lr': 3.090400889831696e-05}. \n[I 2023-11-01 05:07:34,911] Trial 4 finished with values: [101810.0, 0.80390625] and parameters: {'n_layers': 2, 'n_units_l0': 119, 'dropout_0': 0.31997300028839787, 'n_units_l1': 66, 'dropout_1': 0.22514517270963202, 'lr': 0.000729244456978862}. \n[I 2023-11-01 05:07:39,500] Trial 5 finished with values: [78606.0, 0.83984375] and parameters: {'n_layers': 1, 'n_units_l0': 99, 'dropout_0': 0.3449197398100824, 'lr': 0.0014605996718168237}. \n[I 2023-11-01 05:07:44,192] Trial 6 finished with values: [30508.0, 0.36015625] and parameters: {'n_layers': 3, 'n_units_l0': 26, 'dropout_0': 0.4159076697448685, 'n_units_l1': 78, 'dropout_1': 0.44867040827927707, 'n_units_l2': 92, 'dropout_2': 0.4861703544333892, 'lr': 3.5266314558309925e-05}. \n[I 2023-11-01 05:07:49,153] Trial 7 finished with values: [117440.0, 0.66015625] and parameters: {'n_layers': 3, 'n_units_l0': 118, 'dropout_0': 0.3782921537441116, 'n_units_l1': 112, 'dropout_1': 0.4170572283822108, 'n_units_l2': 96, 'dropout_2': 0.36448023692444503, 'lr': 0.00016986486458041102}. \n[I 2023-11-01 05:07:53,946] Trial 8 finished with values: [32528.0, 0.55] and parameters: {'n_layers': 3, 'n_units_l0': 22, 'dropout_0': 0.3492300896821219, 'n_units_l1': 114, 'dropout_1': 0.4467619683447263, 'n_units_l2': 103, 'dropout_2': 0.29122277286425713, 'lr': 7.903131465682663e-05}. \n[I 2023-11-01 05:07:58,792] Trial 9 finished with values: [105255.0, 0.78359375] and parameters: {'n_layers': 3, 'n_units_l0': 118, 'dropout_0': 0.28842588628980215, 'n_units_l1': 53, 'dropout_1': 0.4593642955513967, 'n_units_l2': 103, 'dropout_2': 0.4269481563654046, 'lr': 0.010111136630874212}. \n[I 2023-11-01 05:08:03,429] Trial 10 finished with values: [38747.0, 0.8109375] and parameters: {'n_layers': 2, 'n_units_l0': 43, 'dropout_0': 0.34230632972748165, 'n_units_l1': 95, 'dropout_1': 0.2296719077243844, 'lr': 0.0015639055654327215}. \n[I 2023-11-01 05:08:08,356] Trial 11 finished with values: [96720.0, 0.790625] and parameters: {'n_layers': 3, 'n_units_l0': 109, 'dropout_0': 0.223661279744852, 'n_units_l1': 48, 'dropout_1': 0.277546167373325, 'n_units_l2': 104, 'dropout_2': 0.4841613142761236, 'lr': 0.0008887050405521802}. \n[I 2023-11-01 05:08:13,241] Trial 12 finished with values: [43212.0, 0.45703125] and parameters: {'n_layers': 3, 'n_units_l0': 52, 'dropout_0': 0.4471047354826121, 'n_units_l1': 16, 'dropout_1': 0.370826430182015, 'n_units_l2': 62, 'dropout_2': 0.38632638924124574, 'lr': 0.0001390911921469741}. \n[I 2023-11-01 05:08:17,851] Trial 13 finished with values: [73048.0, 0.66484375] and parameters: {'n_layers': 1, 'n_units_l0': 92, 'dropout_0': 0.42020632442759187, 'lr': 8.645180560472176e-05}. \n[I 2023-11-01 05:08:22,379] Trial 14 finished with values: [42876.0, 0.2625] and parameters: {'n_layers': 1, 'n_units_l0': 54, 'dropout_0': 0.4146210585206047, 'lr': 0.09791385276881996}. \n[I 2023-11-01 05:08:27,253] Trial 15 finished with values: [112519.0, 0.1015625] and parameters: {'n_layers': 3, 'n_units_l0': 124, 'dropout_0': 0.28468072929303634, 'n_units_l1': 61, 'dropout_1': 0.3725311636755989, 'n_units_l2': 109, 'dropout_2': 0.36066303711000247, 'lr': 0.062435382928635666}. \n[I 2023-11-01 05:08:31,814] Trial 16 finished with values: [61138.0, 0.80859375] and parameters: {'n_layers': 1, 'n_units_l0': 77, 'dropout_0': 0.369007061027577, 'lr': 0.0007933535312767438}. \n[I 2023-11-01 05:08:36,369] Trial 17 finished with values: [57168.0, 0.625] and parameters: {'n_layers': 1, 'n_units_l0': 72, 'dropout_0': 0.49859810250787917, 'lr': 3.606146967413893e-05}. \n[I 2023-11-01 05:08:41,142] Trial 18 finished with values: [61308.0, 0.1640625] and parameters: {'n_layers': 3, 'n_units_l0': 76, 'dropout_0': 0.2637138810356875, 'n_units_l1': 17, 'dropout_1': 0.46224765623881464, 'n_units_l2': 16, 'dropout_2': 0.2056946825269088, 'lr': 1.878263308874819e-05}. \n[I 2023-11-01 05:08:45,848] Trial 19 finished with values: [58304.0, 0.8203125] and parameters: {'n_layers': 2, 'n_units_l0': 68, 'dropout_0': 0.20296093073293825, 'n_units_l1': 64, 'dropout_1': 0.2695153045051587, 'lr': 0.0031642207643237234}. \n[I 2023-11-01 05:08:50,558] Trial 20 finished with values: [42056.0, 0.7203125] and parameters: {'n_layers': 2, 'n_units_l0': 46, 'dropout_0': 0.402142543949216, 'n_units_l1': 107, 'dropout_1': 0.3770534371786281, 'lr': 0.0003481266955933459}. \n[I 2023-11-01 05:08:55,573] Trial 21 finished with values: [7083.0, 0.609375] and parameters: {'n_layers': 3, 'n_units_l0': 7, 'dropout_0': 0.3511524619618836, 'n_units_l1': 27, 'dropout_1': 0.33182127866482014, 'n_units_l2': 38, 'dropout_2': 0.3858991240770281, 'lr': 0.0020251927379916256}. \n[I 2023-11-01 05:09:00,423] Trial 22 finished with values: [86076.0, 0.6296875] and parameters: {'n_layers': 3, 'n_units_l0': 106, 'dropout_0': 0.36136123427627087, 'n_units_l1': 22, 'dropout_1': 0.4930384261792156, 'n_units_l2': 20, 'dropout_2': 0.24401437641334633, 'lr': 0.00026955859205410093}. \n[I 2023-11-01 05:09:05,242] Trial 23 finished with values: [10766.0, 0.3015625] and parameters: {'n_layers': 2, 'n_units_l0': 11, 'dropout_0': 0.2747262177917529, 'n_units_l1': 102, 'dropout_1': 0.4616908063698536, 'lr': 4.177538580133748e-05}. \n[I 2023-11-01 05:09:09,967] Trial 24 finished with values: [43248.0, 0.6625] and parameters: {'n_layers': 2, 'n_units_l0': 52, 'dropout_0': 0.38904275206157446, 'n_units_l1': 40, 'dropout_1': 0.2650596493987497, 'lr': 0.00017727680768609067}. \n[I 2023-11-01 05:09:14,721] Trial 25 finished with values: [90516.0, 0.63671875] and parameters: {'n_layers': 1, 'n_units_l0': 114, 'dropout_0': 0.4594040180786691, 'lr': 2.0256962534158853e-05}. \n[I 2023-11-01 05:09:19,424] Trial 26 finished with values: [100838.0, 0.725] and parameters: {'n_layers': 1, 'n_units_l0': 127, 'dropout_0': 0.4665568603889022, 'lr': 0.00016437519173408615}. \n[I 2023-11-01 05:09:24,055] Trial 27 finished with values: [12200.0, 0.2328125] and parameters: {'n_layers': 2, 'n_units_l0': 14, 'dropout_0': 0.28699075192630635, 'n_units_l1': 51, 'dropout_1': 0.4750433764289269, 'lr': 1.906900101744108e-05}. \n[I 2023-11-01 05:09:28,629] Trial 28 finished with values: [19319.0, 0.74140625] and parameters: {'n_layers': 2, 'n_units_l0': 23, 'dropout_0': 0.30807009297564847, 'n_units_l1': 39, 'dropout_1': 0.33240413084280396, 'lr': 0.0009428316077351141}. \n[I 2023-11-01 05:09:33,357] Trial 29 finished with values: [60028.0, 0.71875] and parameters: {'n_layers': 3, 'n_units_l0': 73, 'dropout_0': 0.25997134493333, 'n_units_l1': 33, 'dropout_1': 0.4823825615785637, 'n_units_l2': 9, 'dropout_2': 0.20795463183435764, 'lr': 0.012975437735538404}. \n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 17%] 002_multi_objective.py\n[I 2023-11-01 05:09:34,181] A new study created in RDB with name: no-name-21452886-e9bd-4290-b017-a153229562c3\n[I 2023-11-01 05:09:34,337] Trial 0 finished with value: 0.040000000000000036 and parameters: {'svc_c': 1278.8599702937138}. Best is trial 0 with value: 0.040000000000000036.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 25%] 003_attributes.py\n[I 2023-11-01 05:09:34,613] A new study created in memory with name: no-name-a4290e00-861a-4e8d-805b-8ca1a8ddc760\n[I 2023-11-01 05:09:34,614] Trial 0 finished with value: 0.8902268142688082 and parameters: {'x': 1.0564816831302064}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,615] Trial 1 finished with value: 12.332906466076487 and parameters: {'x': 5.511823809087877}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,616] Trial 2 finished with value: 14.530842978322715 and parameters: {'x': -1.8119342830540397}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,616] Trial 3 finished with value: 56.83672561890514 and parameters: {'x': -5.539013570680527}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,617] Trial 4 finished with value: 27.777188938806724 and parameters: {'x': 7.270406904481543}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,617] Trial 5 finished with value: 89.12295013747419 and parameters: {'x': -7.440495227342376}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,618] Trial 6 finished with value: 11.5979361818721 and parameters: {'x': -1.4055742807744043}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,618] Trial 7 finished with value: 28.643239180567083 and parameters: {'x': 7.351937890200809}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,619] Trial 8 finished with value: 62.87720425729934 and parameters: {'x': -5.9295147554752266}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,620] Trial 9 finished with value: 63.68230140232903 and parameters: {'x': -5.980119134594986}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,626] Trial 10 finished with value: 2.0469368607767398 and parameters: {'x': 3.430712011823742}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,632] Trial 11 finished with value: 0.17737702626693397 and parameters: {'x': 2.4211615204015366}. Best is trial 11 with value: 0.17737702626693397.\n[I 2023-11-01 05:09:34,638] Trial 12 finished with value: 0.02358928982650982 and parameters: {'x': 2.1535880523560014}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,643] Trial 13 finished with value: 0.10543677646475949 and parameters: {'x': 2.3247102962099593}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,648] Trial 14 finished with value: 59.745962067670014 and parameters: {'x': 9.729551220327737}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,654] Trial 15 finished with value: 3.8028973923231635 and parameters: {'x': 0.0498981071946103}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,661] Trial 16 finished with value: 2.232919374904762 and parameters: {'x': 3.4942956116193216}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,667] Trial 17 finished with value: 22.60722332850201 and parameters: {'x': -2.754705388191997}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,672] Trial 18 finished with value: 0.629793975064785 and parameters: {'x': 1.2064044008030381}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,678] Trial 19 finished with value: 4.657789253158387 and parameters: {'x': 4.158191199397863}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,683] Trial 20 finished with value: 136.19322947091 and parameters: {'x': -9.670185494280286}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,689] Trial 21 finished with value: 0.08960289374742199 and parameters: {'x': 2.2993374245686997}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,695] Trial 22 finished with value: 0.25116937527717365 and parameters: {'x': 1.4988319889725865}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,700] Trial 23 finished with value: 3.570255641736849 and parameters: {'x': 0.11048798846452179}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,709] Trial 24 finished with value: 0.0676048745720197 and parameters: {'x': 2.2600093740079763}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,715] Trial 25 finished with value: 8.240866770840704 and parameters: {'x': 4.870690991876469}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,721] Trial 26 finished with value: 0.3050733165074443 and parameters: {'x': 2.5523344245178317}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,727] Trial 27 finished with value: 7.931690390334494 and parameters: {'x': -0.8163256896769759}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,732] Trial 28 finished with value: 23.888521133207703 and parameters: {'x': -2.887588478299672}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,738] Trial 29 finished with value: 0.06662826676655055 and parameters: {'x': 1.7418754820507154}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,744] Trial 30 finished with value: 3.2817008114443493 and parameters: {'x': 0.1884534752194882}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,749] Trial 31 finished with value: 0.4210808805143607 and parameters: {'x': 1.3510925485754068}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,755] Trial 32 finished with value: 10.23343622493383 and parameters: {'x': 5.198974245744068}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,761] Trial 33 finished with value: 1.121781585613964 and parameters: {'x': 3.059141910045091}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,767] Trial 34 finished with value: 0.3291093418994368 and parameters: {'x': 1.426319477496894}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,773] Trial 35 finished with value: 6.013899246164516 and parameters: {'x': 4.452325273320103}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,779] Trial 36 finished with value: 16.976926164827635 and parameters: {'x': 6.120306561996041}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,785] Trial 37 finished with value: 8.03849111812035 and parameters: {'x': -0.8352232924622269}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,790] Trial 38 finished with value: 2.707087855977501 and parameters: {'x': 3.6453230248123014}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,796] Trial 39 finished with value: 0.005284565324173927 and parameters: {'x': 2.0726950158138364}. Best is trial 39 with value: 0.005284565324173927.\n[I 2023-11-01 05:09:34,802] Trial 40 finished with value: 1.8064659944292683 and parameters: {'x': 0.6559516398472605}. Best is trial 39 with value: 0.005284565324173927.\n[I 2023-11-01 05:09:34,808] Trial 41 finished with value: 0.014035425902544961 and parameters: {'x': 1.8815287971592043}. Best is trial 39 with value: 0.005284565324173927.\n[I 2023-11-01 05:09:34,813] Trial 42 finished with value: 0.003527135405656923 and parameters: {'x': 2.059389691072247}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,820] Trial 43 finished with value: 0.941294868667509 and parameters: {'x': 1.0297964808002864}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,826] Trial 44 finished with value: 2.93161497324026 and parameters: {'x': 3.7121959505968527}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,832] Trial 45 finished with value: 7.194270246882442 and parameters: {'x': -0.6822136840457813}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,837] Trial 46 finished with value: 0.8728350420204694 and parameters: {'x': 2.934256411281437}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,843] Trial 47 finished with value: 0.007996960608665808 and parameters: {'x': 2.0894257267718066}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,848] Trial 48 finished with value: 5.470121979003275 and parameters: {'x': 4.338829189787761}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,853] Trial 49 finished with value: 2.0832892995951715 and parameters: {'x': 0.5566395808408866}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,859] Trial 50 finished with value: 0.9189804048897546 and parameters: {'x': 2.9586346566287673}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,864] Trial 51 finished with value: 0.05148368181094175 and parameters: {'x': 1.7730998417564638}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,870] Trial 52 finished with value: 0.012476748718382434 and parameters: {'x': 1.8883006324172673}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,875] Trial 53 finished with value: 1.71666645491702 and parameters: {'x': 0.6897838136715682}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,881] Trial 54 finished with value: 0.0833322559431024 and parameters: {'x': 2.2886732684941617}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,886] Trial 55 finished with value: 1.6922091460444806 and parameters: {'x': 3.300849394067}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,891] Trial 56 finished with value: 4.942375266785536 and parameters: {'x': -0.22314535439892813}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,897] Trial 57 finished with value: 3.060427327115338 and parameters: {'x': 3.7494077075157004}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,902] Trial 58 finished with value: 0.0012484684850965861 and parameters: {'x': 1.9646663264703967}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,908] Trial 59 finished with value: 0.0014879680275504876 and parameters: {'x': 1.9614258113818257}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,913] Trial 60 finished with value: 13.988894738836104 and parameters: {'x': 5.740173089421946}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,919] Trial 61 finished with value: 0.043231936009403026 and parameters: {'x': 1.792077091186654}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,924] Trial 62 finished with value: 0.4706513836004359 and parameters: {'x': 2.6860403658680996}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,930] Trial 63 finished with value: 1.08233513525393 and parameters: {'x': 0.9596466296234102}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,936] Trial 64 finished with value: 0.09908650573442851 and parameters: {'x': 1.685219908929379}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,941] Trial 65 finished with value: 0.30598407713163056 and parameters: {'x': 2.553158274937319}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,947] Trial 66 finished with value: 2.833364943744101e-09 and parameters: {'x': 2.0000532293616695}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,952] Trial 67 finished with value: 0.9157972119263196 and parameters: {'x': 1.0430270578922727}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,958] Trial 68 finished with value: 0.9078285650577469 and parameters: {'x': 2.9528003804878264}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,963] Trial 69 finished with value: 4.573302662402291 and parameters: {'x': 4.138528153287277}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,969] Trial 70 finished with value: 2.6050567839515426 and parameters: {'x': 0.38598116988941467}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,976] Trial 71 finished with value: 0.001234910057876034 and parameters: {'x': 2.035141287083373}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,981] Trial 72 finished with value: 0.012309798506479635 and parameters: {'x': 1.8890504686513745}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,987] Trial 73 finished with value: 0.10040593752041742 and parameters: {'x': 2.3168689595407184}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,993] Trial 74 finished with value: 0.5446120981918416 and parameters: {'x': 1.2620216140076719}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,999] Trial 75 finished with value: 1.9405677009892417 and parameters: {'x': 3.3930426055900953}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,004] Trial 76 finished with value: 4.859985103187532 and parameters: {'x': -0.20453738983659164}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,010] Trial 77 finished with value: 0.23965573098029785 and parameters: {'x': 2.4895464543639325}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,016] Trial 78 finished with value: 0.34982118875278573 and parameters: {'x': 1.408543164083138}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,022] Trial 79 finished with value: 1.3271881526063738 and parameters: {'x': 3.1520365239897448}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,027] Trial 80 finished with value: 0.01620505608373855 and parameters: {'x': 2.12729908123682}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,033] Trial 81 finished with value: 0.0070892383728512615 and parameters: {'x': 1.9158023849930934}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,039] Trial 82 finished with value: 1.2678880949385036 and parameters: {'x': 0.8739946292585885}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,045] Trial 83 finished with value: 3.015533044104391 and parameters: {'x': 0.26347097804142905}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,051] Trial 84 finished with value: 0.5000460360977717 and parameters: {'x': 2.707139332874202}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,057] Trial 85 finished with value: 0.0005701637259828814 and parameters: {'x': 2.0238781013898275}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,064] Trial 86 finished with value: 2.3946860380471344 and parameters: {'x': 3.5474773142269758}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,070] Trial 87 finished with value: 0.34743063875962393 and parameters: {'x': 1.410567528244648}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,076] Trial 88 finished with value: 4.227424879630563 and parameters: {'x': 4.056070251628228}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,082] Trial 89 finished with value: 7.7241085987872315 and parameters: {'x': 4.779228058074262}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,088] Trial 90 finished with value: 0.05369835395169352 and parameters: {'x': 2.2317290528865414}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,093] Trial 91 finished with value: 0.005353530996815471 and parameters: {'x': 1.9268321723924}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,099] Trial 92 finished with value: 1.3526041569217222 and parameters: {'x': 0.8369848853425326}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,104] Trial 93 finished with value: 0.905500654490347 and parameters: {'x': 2.951577981297564}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,110] Trial 94 finished with value: 0.16413695128004605 and parameters: {'x': 1.5948618121183267}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,116] Trial 95 finished with value: 0.0003309238157886264 and parameters: {'x': 2.018191311546687}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,122] Trial 96 finished with value: 0.6016140875028843 and parameters: {'x': 1.224362141522937}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,128] Trial 97 finished with value: 0.6067802032772965 and parameters: {'x': 2.7789609767358674}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,133] Trial 98 finished with value: 2.1733231019356762 and parameters: {'x': 0.5257805109361509}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,139] Trial 99 finished with value: 1.603046686354178 and parameters: {'x': 3.266114799832218}. Best is trial 66 with value: 2.833364943744101e-09.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 33%] 004_cli.py\n[I 2023-11-01 05:09:35,391] A new study created in memory with name: no-name-b6c4e1cb-39e8-40e8-b506-3e5da365de72\n[I 2023-11-01 05:09:35,393] Trial 0 finished with value: 46.12097547912244 and parameters: {'x': 6.587544643909023, 'y': 2.7252310436279874}. Best is trial 0 with value: 46.12097547912244.\n[I 2023-11-01 05:09:35,394] Trial 1 finished with value: 54.815706421892585 and parameters: {'x': 7.2319402555878805, 'y': 2.514746561500087}. Best is trial 0 with value: 46.12097547912244.\n[I 2023-11-01 05:09:35,394] Trial 2 finished with value: 34.17179964261246 and parameters: {'x': 5.635635182727399, 'y': 2.4114157298175765}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,395] Trial 3 finished with value: 43.66793004614673 and parameters: {'x': 6.45023494430968, 'y': 2.0623992093530275}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,396] Trial 4 finished with value: 54.417209509839886 and parameters: {'x': 7.276857442128437, 'y': 1.4645552767798673}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,398] Trial 5 finished with value: 66.14211613472753 and parameters: {'x': 7.996740489982232, 'y': 2.1942576706062624}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,399] Trial 6 finished with value: 63.01686189321345 and parameters: {'x': 7.753639478896108, 'y': 2.8979367245171397}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,400] Trial 7 finished with value: 66.16118709512496 and parameters: {'x': 7.911371781878496, 'y': 3.571383624021628}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,401] Trial 8 finished with value: 79.86980242757681 and parameters: {'x': 8.732527050608208, 'y': 3.6127737379727156}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,403] Trial 9 finished with value: 90.4239196780801 and parameters: {'x': 9.360791358339913, 'y': 2.799504823708902}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,404] Trial 10 finished with value: 89.52937067051779 and parameters: {'x': 9.30901519309164, 'y': 2.8716068053068247}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,406] Trial 11 finished with value: 78.86565068370601 and parameters: {'x': 8.67368050218234, 'y': 3.6329172297679246}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,407] Trial 12 finished with value: 97.85678594492688 and parameters: {'x': 9.71975582327745, 'y': 3.3831326807909625}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,409] Trial 13 finished with value: 76.12924259860719 and parameters: {'x': 8.490577741313404, 'y': 4.039332217320576}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,411] Trial 14 finished with value: 90.89112410381287 and parameters: {'x': 9.300602190062197, 'y': 4.389923006023146}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,413] Trial 15 finished with value: 79.58682269246604 and parameters: {'x': 8.67551141601314, 'y': 4.322324363091704}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,414] Trial 16 finished with value: 62.1610726849644 and parameters: {'x': 7.606723748348073, 'y': 4.298826501281846}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,416] Trial 17 finished with value: 91.58002416786519 and parameters: {'x': 9.35678909251046, 'y': 4.030522046142462}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,418] Trial 18 finished with value: 88.49412521439918 and parameters: {'x': 9.211190722682886, 'y': 3.6480906847599095}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,421] Trial 19 finished with value: 59.03712391341939 and parameters: {'x': 7.413509379458291, 'y': 4.077002594103341}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,423] Trial 20 finished with value: 58.976189500915865 and parameters: {'x': 7.4471554977966425, 'y': 3.516064492553103}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,425] Trial 21 finished with value: 64.2909615392022 and parameters: {'x': 7.849638745545348, 'y': 2.6741331036354556}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,427] Trial 22 finished with value: 56.010513719970334 and parameters: {'x': 7.241501623631142, 'y': 3.571167954917872}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,430] Trial 23 finished with value: 65.73803663231661 and parameters: {'x': 7.831635304719015, 'y': 4.403525086195309}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,432] Trial 24 finished with value: 32.73062355027994 and parameters: {'x': 5.4469742220240205, 'y': 3.061095374885753}. Best is trial 24 with value: 32.73062355027994.\n[I 2023-11-01 05:09:35,435] Trial 25 finished with value: 33.34326674433777 and parameters: {'x': 5.446181770474323, 'y': 3.682370867290941}. Best is trial 24 with value: 32.73062355027994.\n[I 2023-11-01 05:09:35,437] Trial 26 finished with value: 31.3560697507764 and parameters: {'x': 5.23916240774504, 'y': 3.907247016047595}. Best is trial 26 with value: 31.3560697507764.\n[I 2023-11-01 05:09:35,440] Trial 27 finished with value: 26.065394868866054 and parameters: {'x': 4.661943859430464, 'y': 4.331674320384647}. Best is trial 27 with value: 26.065394868866054.\n[I 2023-11-01 05:09:35,443] Trial 28 finished with value: 38.79437238050056 and parameters: {'x': 5.907193937069378, 'y': 3.899432170351348}. Best is trial 27 with value: 26.065394868866054.\n[I 2023-11-01 05:09:35,445] Trial 29 finished with value: 27.579265988050064 and parameters: {'x': 4.91869331424352, 'y': 3.3857220684661598}. Best is trial 27 with value: 26.065394868866054.\n[I 2023-11-01 05:09:35,448] Trial 30 finished with value: 28.27561018906632 and parameters: {'x': 4.914826834415594, 'y': 4.120087376774709}. Best is trial 27 with value: 26.065394868866054.\n[I 2023-11-01 05:09:35,451] Trial 31 finished with value: 24.86182092966081 and parameters: {'x': 4.585885444794622, 'y': 3.8314756168816455}. Best is trial 31 with value: 24.86182092966081.\n[I 2023-11-01 05:09:35,454] Trial 32 finished with value: 47.85920943743388 and parameters: {'x': 6.578479246282816, 'y': 4.582820243660149}. Best is trial 31 with value: 24.86182092966081.\n[I 2023-11-01 05:09:35,457] Trial 33 finished with value: 13.639147290434384 and parameters: {'x': 3.2496999052680087, 'y': 3.0785978161354794}. Best is trial 33 with value: 13.639147290434384.\n[I 2023-11-01 05:09:35,461] Trial 34 finished with value: 6.74830234812279 and parameters: {'x': 1.9522912082627126, 'y': 2.9368613862629074}. Best is trial 34 with value: 6.74830234812279.\n[I 2023-11-01 05:09:35,464] Trial 35 finished with value: 14.720616766186929 and parameters: {'x': 3.2953564725947246, 'y': 3.8612424847149818}. Best is trial 34 with value: 6.74830234812279.\n[I 2023-11-01 05:09:35,467] Trial 36 finished with value: 5.750772066024963 and parameters: {'x': 1.5009540357974505, 'y': 3.4979090484483084}. Best is trial 36 with value: 5.750772066024963.\n[I 2023-11-01 05:09:35,470] Trial 37 finished with value: 3.2729046071266112 and parameters: {'x': 0.12800717491289415, 'y': 3.256518770297431}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,474] Trial 38 finished with value: 3.4162909137684845 and parameters: {'x': 0.03851300537349189, 'y': 3.414807662185586}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,477] Trial 39 finished with value: 4.7402179669166955 and parameters: {'x': -0.9183202679709619, 'y': 3.896905852350436}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,481] Trial 40 finished with value: 8.663563600112177 and parameters: {'x': -2.2332479290655423, 'y': 3.676167287436644}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,484] Trial 41 finished with value: 5.473484027011917 and parameters: {'x': -0.8453215843961916, 'y': 4.75891544596583}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,488] Trial 42 finished with value: 6.4400520811210225 and parameters: {'x': -1.5540249616307804, 'y': 4.025058499749473}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,492] Trial 43 finished with value: 3.763641666580321 and parameters: {'x': 0.1741818408673974, 'y': 3.7333023528923657}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,496] Trial 44 finished with value: 8.283152492431942 and parameters: {'x': 1.9451371800628747, 'y': 4.499593843168989}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,500] Trial 45 finished with value: 4.277810942895938 and parameters: {'x': 0.11946410658672546, 'y': 4.263539270133373}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,503] Trial 46 finished with value: 7.994628470861279 and parameters: {'x': 1.8283280806982614, 'y': 4.651844900191492}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,507] Trial 47 finished with value: 5.766919987286867 and parameters: {'x': -1.1172839739437501, 'y': 4.518596508855329}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,511] Trial 48 finished with value: 5.7698751154357675 and parameters: {'x': -0.9219180260620652, 'y': 4.919942268657593}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,515] Trial 49 finished with value: 7.992496124570652 and parameters: {'x': 1.9151207152401475, 'y': 4.324808770628718}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,520] Trial 50 finished with value: 4.937312276238336 and parameters: {'x': 0.3284085985236205, 'y': 4.829460068654087}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,524] Trial 51 finished with value: 3.3706042796689832 and parameters: {'x': -0.14834137843089756, 'y': 3.3485991151142045}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,528] Trial 52 finished with value: 3.5612024817643664 and parameters: {'x': 0.9832784006996618, 'y': 2.594366068481882}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,533] Trial 53 finished with value: 8.161728680145249 and parameters: {'x': -1.9775689396574196, 'y': 4.250949769047478}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,537] Trial 54 finished with value: 8.040943235892652 and parameters: {'x': -2.1026147102406405, 'y': 3.6199546161723193}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,542] Trial 55 finished with value: 8.181378915862005 and parameters: {'x': -2.1434101148561835, 'y': 3.5871719953942076}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,546] Trial 56 finished with value: 4.5109399859377035 and parameters: {'x': 0.8785346925875257, 'y': 3.739116779857845}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,551] Trial 57 finished with value: 6.9948749654547795 and parameters: {'x': 1.7843479921696823, 'y': 3.810977208294803}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,556] Trial 58 finished with value: 5.547213567078827 and parameters: {'x': -1.204507871887298, 'y': 4.09637435364036}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,561] Trial 59 finished with value: 3.893573918020521 and parameters: {'x': -0.21169856538287002, 'y': 3.8487576354353554}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,566] Trial 60 finished with value: 5.880010280355952 and parameters: {'x': -1.623716447476164, 'y': 3.243555178551337}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,571] Trial 61 finished with value: 5.94268930407026 and parameters: {'x': 1.5345953416711131, 'y': 3.58770644139158}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,576] Trial 62 finished with value: 5.76673078023068 and parameters: {'x': -1.6068649607363592, 'y': 3.1847157781884188}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,581] Trial 63 finished with value: 6.837476978495528 and parameters: {'x': -1.737620296121301, 'y': 3.81815268500285}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,586] Trial 64 finished with value: 5.553294155861788 and parameters: {'x': 1.3937644158172517, 'y': 3.6107149090633825}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,591] Trial 65 finished with value: 2.9359804326272183 and parameters: {'x': 0.5564767745213044, 'y': 2.626314032045584}. Best is trial 65 with value: 2.9359804326272183.\n[I 2023-11-01 05:09:35,596] Trial 66 finished with value: 3.91975746451676 and parameters: {'x': 0.7071655068270388, 'y': 3.419674410470817}. Best is trial 65 with value: 2.9359804326272183.\n[I 2023-11-01 05:09:35,602] Trial 67 finished with value: 2.757853815578322 and parameters: {'x': 0.9138393263488318, 'y': 1.9227515011966356}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,607] Trial 68 finished with value: 3.952783205401828 and parameters: {'x': 1.0284351866956096, 'y': 2.895104272168195}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,613] Trial 69 finished with value: 6.852717036826063 and parameters: {'x': 2.3653587400287472, 'y': 1.257795067795681}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,618] Trial 70 finished with value: 8.115137502385 and parameters: {'x': 2.5767086668014594, 'y': 1.4757099488152463}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,624] Trial 71 finished with value: 5.414605783203195 and parameters: {'x': 1.760367799553138, 'y': 2.315710993499638}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,630] Trial 72 finished with value: 5.077916082981332 and parameters: {'x': 1.551774872588565, 'y': 2.6699108277840757}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,636] Trial 73 finished with value: 6.477949415002694 and parameters: {'x': 1.987461487594493, 'y': 2.5279462503313788}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,641] Trial 74 finished with value: 1.1752292551350583 and parameters: {'x': -0.142037574001197, 'y': 1.1550545827069127}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,647] Trial 75 finished with value: 3.5981004594893093 and parameters: {'x': 1.6909700493431887, 'y': 0.7387207517136032}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,653] Trial 76 finished with value: 1.846887657739813 and parameters: {'x': -0.5578676966120564, 'y': 1.5356712908165717}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,659] Trial 77 finished with value: 4.394485608021643 and parameters: {'x': -1.885482188624704, 'y': 0.8394425244006398}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,665] Trial 78 finished with value: 3.1704755622836736 and parameters: {'x': -1.074752579969445, 'y': 2.0153824541326952}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,672] Trial 79 finished with value: 2.3596872093580368 and parameters: {'x': -0.926614629348181, 'y': 1.50107253803597}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,678] Trial 80 finished with value: 3.069457170568402 and parameters: {'x': 1.06355988621095, 'y': 1.9382975390113528}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,684] Trial 81 finished with value: 0.265687750091935 and parameters: {'x': -0.0858614841628933, 'y': 0.2583155556292802}. Best is trial 81 with value: 0.265687750091935.\n[I 2023-11-01 05:09:35,691] Trial 82 finished with value: -0.29205312588730276 and parameters: {'x': -0.32953889746575893, 'y': -0.40064901083025073}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,697] Trial 83 finished with value: -0.13172607771253858 and parameters: {'x': 0.5983993337193532, 'y': -0.4898078403083044}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,704] Trial 84 finished with value: 0.3653816529370192 and parameters: {'x': -0.14065469034728384, 'y': 0.3455979110203289}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,710] Trial 85 finished with value: 0.08420430855484151 and parameters: {'x': 0.8904661421712223, 'y': -0.708725641798458}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,717] Trial 86 finished with value: 0.869534577882956 and parameters: {'x': 1.0551660254165522, 'y': -0.24384076331040827}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,724] Trial 87 finished with value: 0.9989828738177257 and parameters: {'x': 0.842161011383598, 'y': 0.289747704723081}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,731] Trial 88 finished with value: 3.1896436002495756 and parameters: {'x': -1.91050502975619, 'y': -0.4603858684741249}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,737] Trial 89 finished with value: 1.4272879385659096 and parameters: {'x': -1.5767014291631911, 'y': -1.0586994581593396}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,744] Trial 90 finished with value: 2.936475354199171 and parameters: {'x': -1.877346527788152, 'y': -0.5879546311990598}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,751] Trial 91 finished with value: 0.3496090263253482 and parameters: {'x': -0.7520041523011303, 'y': -0.21590121875279333}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,759] Trial 92 finished with value: -0.8585836095198327 and parameters: {'x': 0.2573517717772149, 'y': -0.9248135439567045}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,766] Trial 93 finished with value: 0.8913335964812661 and parameters: {'x': 1.607492798406061, 'y': -1.692699500446083}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,773] Trial 94 finished with value: -0.5102996038955608 and parameters: {'x': 0.5216295138640499, 'y': -0.7823969536296058}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,780] Trial 95 finished with value: 0.06959804010355142 and parameters: {'x': -1.4004091337824534, 'y': -1.89154770187777}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,788] Trial 96 finished with value: 2.0536474939152116 and parameters: {'x': 1.8185372865756206, 'y': -1.2534303687506096}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,795] Trial 97 finished with value: -0.4311509127501286 and parameters: {'x': 0.9367076203942397, 'y': -1.3085720788547677}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,803] Trial 98 finished with value: 4.274647736338719 and parameters: {'x': 2.0745926026595107, 'y': -0.029286730670843975}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,810] Trial 99 finished with value: 0.0859057678175491 and parameters: {'x': 0.7233847212492792, 'y': -0.43737968711934827}. Best is trial 92 with value: -0.8585836095198327.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 42%] 005_user_defined_sampler.py\n[I 2023-11-01 05:09:36,063] A new study created in memory with name: no-name-7c8f34d4-acac-4aba-9dd6-1b7c692bf5fc\n[I 2023-11-01 05:09:36,080] Trial 0 finished with value: 0.76 and parameters: {'loss': 'perceptron', 'alpha': 0.00021345695337510908}. Best is trial 0 with value: 0.76.\n[I 2023-11-01 05:09:36,096] Trial 1 finished with value: 0.68 and parameters: {'loss': 'hinge', 'alpha': 2.8235134532239217e-05}. Best is trial 0 with value: 0.76.\n[I 2023-11-01 05:09:36,112] Trial 2 finished with value: 0.72 and parameters: {'loss': 'perceptron', 'alpha': 0.00032737881389929857}. Best is trial 0 with value: 0.76.\n[I 2023-11-01 05:09:36,127] Trial 3 finished with value: 0.68 and parameters: {'loss': 'perceptron', 'alpha': 0.0001334820743131281}. Best is trial 0 with value: 0.76.\n[I 2023-11-01 05:09:36,143] Trial 4 finished with value: 0.9 and parameters: {'loss': 'log_loss', 'alpha': 3.3600127524571215e-05}. Best is trial 4 with value: 0.9.\n[I 2023-11-01 05:09:36,159] Trial 5 finished with value: 0.68 and parameters: {'loss': 'log_loss', 'alpha': 1.581041251370177e-05}. Best is trial 4 with value: 0.9.\n[I 2023-11-01 05:09:36,175] Trial 6 finished with value: 0.76 and parameters: {'loss': 'perceptron', 'alpha': 0.00012757258952983733}. Best is trial 4 with value: 0.9.\n[I 2023-11-01 05:09:36,190] Trial 7 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 2.8717398036567325e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,206] Trial 8 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.4409942516636285e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,221] Trial 9 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 3.248492608423829e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,244] Trial 10 finished with value: 0.72 and parameters: {'loss': 'hinge', 'alpha': 0.00073453306045796}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,265] Trial 11 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.054021474951671e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,281] Trial 12 pruned. \n[I 2023-11-01 05:09:36,303] Trial 13 finished with value: 0.92 and parameters: {'loss': 'hinge', 'alpha': 1.6115842466694484e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,325] Trial 14 finished with value: 0.76 and parameters: {'loss': 'perceptron', 'alpha': 5.9690219263973595e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,338] Trial 15 pruned. \n[I 2023-11-01 05:09:36,360] Trial 16 finished with value: 0.72 and parameters: {'loss': 'perceptron', 'alpha': 6.706127391119783e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,382] Trial 17 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.0870099176399007e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,404] Trial 18 finished with value: 0.68 and parameters: {'loss': 'hinge', 'alpha': 2.1840338236606943e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,426] Trial 19 finished with value: 0.94 and parameters: {'loss': 'log_loss', 'alpha': 4.448085290666837e-05}. Best is trial 19 with value: 0.94.\n[I 2023-11-01 05:09:36,446] Trial 20 pruned. \n[I 2023-11-01 05:09:36,468] Trial 21 finished with value: 0.96 and parameters: {'loss': 'log_loss', 'alpha': 2.53721132531332e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,481] Trial 22 pruned. \n[I 2023-11-01 05:09:36,504] Trial 23 finished with value: 0.92 and parameters: {'loss': 'log_loss', 'alpha': 4.228673201103842e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,518] Trial 24 pruned. \n[I 2023-11-01 05:09:36,531] Trial 25 pruned. \n[I 2023-11-01 05:09:36,545] Trial 26 pruned. \n[I 2023-11-01 05:09:36,559] Trial 27 pruned. \n[I 2023-11-01 05:09:36,574] Trial 28 pruned. \n[I 2023-11-01 05:09:36,593] Trial 29 pruned. \n[I 2023-11-01 05:09:36,616] Trial 30 finished with value: 0.72 and parameters: {'loss': 'hinge', 'alpha': 5.2187210828336567e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,638] Trial 31 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.4956981553039531e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,660] Trial 32 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.9250038961532406e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,682] Trial 33 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 3.165828955388632e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,704] Trial 34 finished with value: 0.84 and parameters: {'loss': 'perceptron', 'alpha': 1.313764916287009e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,719] Trial 35 pruned. \n[I 2023-11-01 05:09:36,741] Trial 36 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.767174689113415e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,763] Trial 37 finished with value: 0.68 and parameters: {'loss': 'hinge', 'alpha': 2.6907790845523036e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,778] Trial 38 pruned. \n[I 2023-11-01 05:09:36,800] Trial 39 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 3.735712676411028e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,822] Trial 40 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 3.3385256184134405e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,845] Trial 41 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 2.8080677197105286e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,867] Trial 42 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 3.441258846097398e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,890] Trial 43 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.8854701498578382e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,913] Trial 44 finished with value: 0.72 and parameters: {'loss': 'perceptron', 'alpha': 5.0315696597960055e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,935] Trial 45 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 2.378186378144991e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,958] Trial 46 finished with value: 0.92 and parameters: {'loss': 'hinge', 'alpha': 1.6093412351481648e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,980] Trial 47 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.0322336744837793e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,995] Trial 48 pruned. \n[I 2023-11-01 05:09:37,018] Trial 49 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 2.04552105754934e-05}. Best is trial 21 with value: 0.96.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 50%] 006_user_defined_pruner.py\n[I 2023-11-01 05:09:37,269] A new study created in memory with name: no-name-5380433d-e376-4689-9b15-fa3863e1f861\n[I 2023-11-01 05:09:37,270] Trial 0 finished with value: 0.14388782659877442 and parameters: {'x': 0.14388782659877442}. Best is trial 0 with value: 0.14388782659877442.\n[I 2023-11-01 05:09:37,271] Trial 1 finished with value: 0.6966338725404763 and parameters: {'x': 0.6966338725404763}. Best is trial 0 with value: 0.14388782659877442.\n[I 2023-11-01 05:09:37,271] Trial 2 finished with value: 0.4067314077321882 and parameters: {'x': 0.4067314077321882}. Best is trial 0 with value: 0.14388782659877442.\n[I 2023-11-01 05:09:37,272] Trial 3 finished with value: 0.6068892985695601 and parameters: {'x': 0.6068892985695601}. Best is trial 0 with value: 0.14388782659877442.\n[I 2023-11-01 05:09:37,272] Trial 4 finished with value: 0.33620148086865853 and parameters: {'x': 0.33620148086865853}. Best is trial 0 with value: 0.14388782659877442.\n[I 2023-11-01 05:09:37,273] Trial 5 pruned. \n[I 2023-11-01 05:09:37,273] Trial 6 pruned. \n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 58%] 007_optuna_callback.py\n[I 2023-11-01 05:09:37,519] A new study created in memory with name: no-name-50227c93-64a3-4610-bf3c-43157e3f8a8a\n[I 2023-11-01 05:09:37,622] Trial 0 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 1.0, 'bagging_freq': 0, 'min_child_samples': 20}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:09:37,705] Trial 1 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.75, 'bagging_freq': 5, 'min_child_samples': 20}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:09:37,813] Trial 2 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.4903034849706194, 'bagging_freq': 4, 'min_child_samples': 8}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:09:37,935] Trial 3 finished with value: 0.965034965034965 and parameters: {'bagging_fraction': 0.5952333804139491, 'bagging_freq': 0, 'min_child_samples': 10}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:09:37,976] Trial 4 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.5138610028837161, 'bagging_freq': 1, 'min_child_samples': 40}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:09:37,990] Trial 5 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,005] Trial 6 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,019] Trial 7 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,045] Trial 8 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:09:38,060] Trial 9 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,092] Trial 10 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,122] Trial 11 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,153] Trial 12 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,184] Trial 13 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,214] Trial 14 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,331] Trial 15 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.7627127100384092, 'bagging_freq': 3, 'min_child_samples': 45}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:09:38,381] Trial 16 pruned. Trial was pruned at iteration 32.\n[I 2023-11-01 05:09:38,412] Trial 17 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,442] Trial 18 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,473] Trial 19 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,504] Trial 20 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,535] Trial 21 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,723] Trial 22 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.6479827463806397, 'bagging_freq': 4, 'min_child_samples': 6}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:09:38,844] Trial 23 finished with value: 0.993006993006993 and parameters: {'bagging_fraction': 0.6802929513655142, 'bagging_freq': 3, 'min_child_samples': 23}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:39,025] Trial 24 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.6548156952063472, 'bagging_freq': 3, 'min_child_samples': 6}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:39,129] Trial 25 pruned. Trial was pruned at iteration 94.\n[I 2023-11-01 05:09:39,163] Trial 26 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,197] Trial 27 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,231] Trial 28 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,264] Trial 29 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,297] Trial 30 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,330] Trial 31 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,509] Trial 32 finished with value: 0.951048951048951 and parameters: {'bagging_fraction': 0.8009009246311558, 'bagging_freq': 0, 'min_child_samples': 9}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:39,543] Trial 33 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,576] Trial 34 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,611] Trial 35 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:39,645] Trial 36 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,678] Trial 37 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,713] Trial 38 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,746] Trial 39 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,781] Trial 40 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,815] Trial 41 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,850] Trial 42 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,896] Trial 43 pruned. Trial was pruned at iteration 16.\n[I 2023-11-01 05:09:39,930] Trial 44 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,966] Trial 45 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,001] Trial 46 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,035] Trial 47 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,069] Trial 48 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,174] Trial 49 pruned. Trial was pruned at iteration 52.\n[I 2023-11-01 05:09:40,208] Trial 50 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,244] Trial 51 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,295] Trial 52 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,331] Trial 53 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,368] Trial 54 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,404] Trial 55 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,440] Trial 56 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,476] Trial 57 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,663] Trial 58 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.8093382496817264, 'bagging_freq': 3, 'min_child_samples': 5}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:40,701] Trial 59 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,738] Trial 60 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,775] Trial 61 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,811] Trial 62 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,946] Trial 63 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.7350789370874817, 'bagging_freq': 3, 'min_child_samples': 22}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:41,090] Trial 64 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.7294576578569729, 'bagging_freq': 2, 'min_child_samples': 20}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:41,133] Trial 65 pruned. Trial was pruned at iteration 8.\n[I 2023-11-01 05:09:41,168] Trial 66 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,203] Trial 67 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,238] Trial 68 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,274] Trial 69 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,313] Trial 70 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,495] Trial 71 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.7049366280023138, 'bagging_freq': 4, 'min_child_samples': 10}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:41,531] Trial 72 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,660] Trial 73 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.6907379488346678, 'bagging_freq': 3, 'min_child_samples': 23}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:41,699] Trial 74 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,736] Trial 75 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,772] Trial 76 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,809] Trial 77 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,845] Trial 78 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,882] Trial 79 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,918] Trial 80 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,954] Trial 81 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,993] Trial 82 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,030] Trial 83 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,067] Trial 84 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,105] Trial 85 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,140] Trial 86 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,177] Trial 87 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,216] Trial 88 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,253] Trial 89 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,292] Trial 90 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,330] Trial 91 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,390] Trial 92 pruned. Trial was pruned at iteration 16.\n[I 2023-11-01 05:09:42,427] Trial 93 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,464] Trial 94 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,521] Trial 95 pruned. Trial was pruned at iteration 15.\n[I 2023-11-01 05:09:42,558] Trial 96 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,598] Trial 97 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,635] Trial 98 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,682] Trial 99 pruned. Trial was pruned at iteration 15.\n[I 2023-11-01 05:09:42,684] A new study created in memory with name: no-name-d7a6c00b-d74e-4727-860c-ee2fb8c7938e\n[I 2023-11-01 05:09:42,736] Trial 2 finished with value: 0.965034965034965 and parameters: {'bagging_fraction': 0.8715341173213569, 'bagging_freq': 5, 'min_child_samples': 63}. Best is trial 2 with value: 0.965034965034965.\n[I 2023-11-01 05:09:42,871] Trial 3 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.7797993522325375, 'bagging_freq': 5, 'min_child_samples': 9}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:42,938] Trial 4 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.585298350127812, 'bagging_freq': 1, 'min_child_samples': 23}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:42,953] Trial 5 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,968] Trial 6 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,982] Trial 7 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,050] Trial 8 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.668856778489588, 'bagging_freq': 6, 'min_child_samples': 58}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:43,066] Trial 9 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,097] Trial 10 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,128] Trial 11 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,160] Trial 12 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,192] Trial 13 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,223] Trial 14 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,258] Trial 15 pruned. Trial was pruned at iteration 4.\n[I 2023-11-01 05:09:43,290] Trial 16 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,329] Trial 17 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:43,362] Trial 18 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:09:43,396] Trial 19 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,429] Trial 20 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,461] Trial 21 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,493] Trial 22 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,526] Trial 23 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,558] Trial 24 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,591] Trial 25 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,625] Trial 26 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,658] Trial 27 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,693] Trial 28 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,725] Trial 29 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,759] Trial 30 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,792] Trial 31 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,826] Trial 32 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:43,860] Trial 33 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:43,894] Trial 34 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,927] Trial 35 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,963] Trial 36 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,998] Trial 37 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:44,032] Trial 38 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,068] Trial 39 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,102] Trial 40 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,285] Trial 41 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.8588110154496078, 'bagging_freq': 5, 'min_child_samples': 10}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:44,337] Trial 42 pruned. Trial was pruned at iteration 5.\n[I 2023-11-01 05:09:44,373] Trial 43 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,416] Trial 44 pruned. Trial was pruned at iteration 7.\n[I 2023-11-01 05:09:44,461] Trial 45 pruned. Trial was pruned at iteration 7.\n[I 2023-11-01 05:09:44,496] Trial 46 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,532] Trial 47 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,567] Trial 48 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:44,604] Trial 49 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,640] Trial 50 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,676] Trial 51 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,712] Trial 52 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,823] Trial 53 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.7745150488937625, 'bagging_freq': 5, 'min_child_samples': 34}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:44,859] Trial 54 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,896] Trial 55 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:44,931] Trial 56 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,967] Trial 57 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,092] Trial 58 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.6286081793925987, 'bagging_freq': 5, 'min_child_samples': 26}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:45,128] Trial 59 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,164] Trial 60 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,202] Trial 61 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,238] Trial 62 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,275] Trial 63 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,311] Trial 64 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,350] Trial 65 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,387] Trial 66 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,423] Trial 67 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,459] Trial 68 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,498] Trial 69 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,534] Trial 70 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,672] Trial 71 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.7311639302895071, 'bagging_freq': 5, 'min_child_samples': 24}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:45,709] Trial 72 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,746] Trial 73 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,852] Trial 74 finished with value: 0.993006993006993 and parameters: {'bagging_fraction': 0.7190856978599004, 'bagging_freq': 6, 'min_child_samples': 39}. Best is trial 74 with value: 0.993006993006993.\n[I 2023-11-01 05:09:45,889] Trial 75 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,925] Trial 76 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,962] Trial 77 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,999] Trial 78 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,036] Trial 79 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,075] Trial 80 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:46,113] Trial 81 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,151] Trial 82 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,187] Trial 83 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,224] Trial 84 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,261] Trial 85 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,298] Trial 86 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,334] Trial 87 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,374] Trial 88 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,415] Trial 89 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,454] Trial 90 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,493] Trial 91 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,531] Trial 92 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,572] Trial 93 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,615] Trial 94 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,654] Trial 95 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,693] Trial 96 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,734] Trial 97 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,776] Trial 98 pruned. Trial was pruned at iteration 4.\n[I 2023-11-01 05:09:46,814] Trial 99 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,854] Trial 100 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,894] Trial 101 pruned. Trial was pruned at iteration 2.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 67%] 008_specify_params.py\n[I 2023-11-01 05:09:47,163] A new study created in memory with name: no-name-9d7994ff-5064-4b18-ba12-1b74d17ffdae\n[I 2023-11-01 05:09:47,168] Trial 0 finished with value: 0.8 and parameters: {'C': 0.0037100120471898943, 'solver': 'lbfgs'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,173] Trial 1 finished with value: 0.28 and parameters: {'C': 0.0002708650126165858, 'solver': 'saga'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,178] Trial 2 finished with value: 0.36 and parameters: {'C': 2.8699838763804296e-07, 'solver': 'lbfgs'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,182] Trial 3 finished with value: 0.56 and parameters: {'C': 7.083053222355594e-06, 'solver': 'saga'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,186] Trial 4 finished with value: 0.8 and parameters: {'C': 0.0022233012489781775, 'solver': 'saga'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,190] Trial 5 finished with value: 0.56 and parameters: {'C': 0.0004847767990257645, 'solver': 'saga'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,194] Trial 6 finished with value: 0.8 and parameters: {'C': 0.0523464287709032, 'solver': 'saga'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,197] Trial 7 finished with value: 0.56 and parameters: {'C': 0.0006162796412942151, 'solver': 'saga'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,202] Trial 8 finished with value: 0.96 and parameters: {'C': 0.7785834765599597, 'solver': 'saga'}. Best is trial 8 with value: 0.96.\n[I 2023-11-01 05:09:47,207] Trial 9 finished with value: 0.4 and parameters: {'C': 7.073202208637796e-07, 'solver': 'lbfgs'}. Best is trial 8 with value: 0.96.\n[I 2023-11-01 05:09:47,208] A new study created in memory with name: no-name-24c7e25b-b5db-40c0-948b-a93565b8dd21\n[I 2023-11-01 05:09:47,241] A new study created in memory with name: no-name-e0634c01-3b1f-4eda-b5c9-7ddc9a975d0e\n[I 2023-11-01 05:09:47,273] A new study created in memory with name: no-name-e838e037-91da-41ed-8acb-103517b3faf4\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 75%] 009_ask_and_tell.py\n[I 2023-11-01 05:09:47,573] A new study created in memory with name: no-name-9b8b7efe-e5c5-4853-9478-e4d84ff1c8ae\n[I 2023-11-01 05:09:47,579] Trial 0 finished with value: 0.92 and parameters: {'C': 1.664084251597465}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,584] Trial 1 finished with value: 0.44 and parameters: {'C': 0.0007863745138313611}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,590] Trial 2 finished with value: 0.92 and parameters: {'C': 3.483193388818337}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,595] Trial 3 finished with value: 0.44 and parameters: {'C': 0.00031472142880741504}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,600] Trial 4 finished with value: 0.92 and parameters: {'C': 0.054646391282601785}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,605] Trial 5 finished with value: 0.44 and parameters: {'C': 0.00010191624495775013}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,610] Trial 6 finished with value: 0.44 and parameters: {'C': 3.766933583527544e-07}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,615] Trial 7 finished with value: 0.44 and parameters: {'C': 2.3489818637664162e-05}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,621] Trial 8 finished with value: 0.44 and parameters: {'C': 7.30347625297428e-06}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,626] Trial 9 finished with value: 0.92 and parameters: {'C': 0.9890668024258267}. Best is trial 0 with value: 0.92.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 83%] 010_reuse_best_trial.py\n[I 2023-11-01 05:09:47,885] A new study created in Journal with name: example-study\n[I 2023-11-01 05:09:47,890] Trial 0 finished with value: 50.55471221731724 and parameters: {'x': -5.11018369786022}. Best is trial 0 with value: 50.55471221731724.\n[I 2023-11-01 05:09:47,893] Trial 1 finished with value: 106.99763812740689 and parameters: {'x': -8.343966266737672}. Best is trial 0 with value: 50.55471221731724.\n[I 2023-11-01 05:09:47,896] Trial 2 finished with value: 77.15556056539192 and parameters: {'x': -6.783823800907662}. Best is trial 0 with value: 50.55471221731724.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 92%] 011_journal_storage.py\n[I 2023-11-01 05:09:48,223] A new study created in RDB with name: test_study\n[I 2023-11-01 05:10:17,371] Trial 0 finished with value: -0.9833950694824145 and parameters: {'phi': -0.3852263360386732, 'theta': -0.9827508644218659, 'psi': -0.41023923030411114, 'x_pos': 0.15422435863762296, 'y_pos': 0.11106188598463751, 'z_hig': 1.8254373481385473}. Best is trial 0 with value: -0.9833950694824145.\n[I 2023-11-01 05:12:17,107] Trial 1 finished with value: -0.9849498863507284 and parameters: {'phi': 0.841890623048869, 'theta': -0.5825250527736188, 'psi': 0.6077486250509136, 'x_pos': 0.11294600793231296, 'y_pos': 0.2426765335877925, 'z_hig': 3.057915847436877}. Best is trial 1 with value: -0.9849498863507284.\n[I 2023-11-01 05:12:25,198] Trial 2 finished with value: -0.9853528910542393 and parameters: {'phi': -0.13129219028535122, 'theta': 0.978188558367846, 'psi': 0.7023039993281388, 'x_pos': 0.4360070240267705, 'y_pos': 0.4783531803407083, 'z_hig': 1.435415269862622}. Best is trial 2 with value: -0.9853528910542393.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [100%] 012_artifact_tutorial.py\ncomputation time summary:\n - ../../tutorial/20_recipes/012_artifact_tutorial.py: 157.38 sec 0.0 MB\n - ../../tutorial/20_recipes/002_multi_objective.py: 150.13 sec 0.0 MB\n - ../../tutorial/20_recipes/008_specify_params.py: 9.38 sec 0.0 MB\n - ../../tutorial/10_key_features/005_visualization.py: 5.68 sec 0.0 MB\n - ../../tutorial/10_key_features/003_efficient_optimization_algorithms.py: 2.39 sec 0.0 MB\n - ../../tutorial/10_key_features/001_first.py: 1.13 sec 0.0 MB\n - ../../tutorial/20_recipes/006_user_defined_pruner.py: 0.96 sec 0.0 MB\n - ../../tutorial/20_recipes/001_rdb.py: 0.83 sec 0.0 MB\n - ../../tutorial/20_recipes/004_cli.py: 0.53 sec 0.0 MB\n - ../../tutorial/20_recipes/005_user_defined_sampler.py: 0.42 sec 0.0 MB\n - ../../tutorial/20_recipes/003_attributes.py: 0.32 sec 0.0 MB\n - ../../tutorial/20_recipes/009_ask_and_tell.py: 0.16 sec 0.0 MB\n - ../../tutorial/20_recipes/010_reuse_best_trial.py: 0.07 sec 0.0 MB\n - ../../tutorial/20_recipes/011_journal_storage.py: 0.01 sec 0.0 MB\n - ../../tutorial/20_recipes/007_optuna_callback.py: 0.01 sec 0.0 MB\n - ../../tutorial/10_key_features/002_configurations.py: 0.00 sec 0.0 MB\n - ../../tutorial/10_key_features/004_distributed.py: 0.00 sec 0.0 MB\nbuilding [mo]: targets for 0 po files that are out of date\nwriting output... \nbuilding [doctest]: targets for 132 source files that are out of date\nupdating environment: [new config] 198 added, 0 changed, 0 removed\n\u001b[2Kreading sources... 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[ 44%] reference/generated/optuna.storages.JournalRedisStorage\n\u001b[2Kreading sources... [ 44%] reference/generated/optuna.storages.JournalStorage\n\u001b[2Kreading sources... [ 45%] reference/generated/optuna.storages.RDBStorage\n\u001b[2Kreading sources... [ 45%] reference/generated/optuna.storages.RetryFailedTrialCallback\n\u001b[2Kreading sources... [ 46%] reference/generated/optuna.storages.fail_stale_trials\n\u001b[2Kreading sources... [ 46%] reference/generated/optuna.study.MaxTrialsCallback\n\u001b[2Kreading sources... [ 47%] reference/generated/optuna.study.Study\n\u001b[2Kreading sources... [ 47%] reference/generated/optuna.study.StudyDirection\n\u001b[2Kreading sources... [ 48%] reference/generated/optuna.study.StudySummary\n\u001b[2Kreading sources... [ 48%] reference/generated/optuna.study.copy_study\n\u001b[2Kreading sources... [ 49%] reference/generated/optuna.study.create_study\n\u001b[2Kreading sources... [ 49%] reference/generated/optuna.study.delete_study\n\u001b[2Kreading sources... [ 50%] reference/generated/optuna.study.get_all_study_names\n\u001b[2Kreading sources... [ 51%] reference/generated/optuna.study.get_all_study_summaries\n\u001b[2Kreading sources... [ 51%] reference/generated/optuna.study.load_study\n\u001b[2Kreading sources... [ 52%] reference/generated/optuna.terminator.BaseErrorEvaluator\n\u001b[2Kreading sources... [ 52%] reference/generated/optuna.terminator.BaseImprovementEvaluator\n\u001b[2Kreading sources... [ 53%] reference/generated/optuna.terminator.BaseTerminator\n\u001b[2Kreading sources... [ 53%] reference/generated/optuna.terminator.BestValueStagnationEvaluator\n\u001b[2Kreading sources... [ 54%] reference/generated/optuna.terminator.CrossValidationErrorEvaluator\n\u001b[2Kreading sources... [ 54%] reference/generated/optuna.terminator.RegretBoundEvaluator\n\u001b[2Kreading sources... [ 55%] reference/generated/optuna.terminator.StaticErrorEvaluator\n\u001b[2Kreading sources... [ 55%] reference/generated/optuna.terminator.Terminator\n\u001b[2Kreading sources... [ 56%] reference/generated/optuna.terminator.TerminatorCallback\n\u001b[2Kreading sources... [ 56%] reference/generated/optuna.terminator.report_cross_validation_scores\n\u001b[2Kreading sources... [ 57%] reference/generated/optuna.trial.FixedTrial\n\u001b[2Kreading sources... [ 57%] reference/generated/optuna.trial.FrozenTrial\n\u001b[2Kreading sources... [ 58%] reference/generated/optuna.trial.Trial\n\u001b[2Kreading sources... [ 58%] reference/generated/optuna.trial.TrialState\n\u001b[2Kreading sources... [ 59%] reference/generated/optuna.trial.create_trial\n\u001b[2Kreading sources... [ 59%] reference/importance\n\u001b[2Kreading sources... [ 60%] reference/index\n\u001b[2Kreading sources... [ 60%] reference/integration\n\u001b[2Kreading sources... [ 61%] reference/logging\n\u001b[2Kreading sources... [ 61%] reference/optuna\n\u001b[2Kreading sources... [ 62%] reference/pruners\n\u001b[2Kreading sources... [ 62%] reference/samplers/generated/optuna.samplers.BaseSampler\n\u001b[2Kreading sources... [ 63%] reference/samplers/generated/optuna.samplers.BruteForceSampler\n\u001b[2Kreading sources... [ 63%] reference/samplers/generated/optuna.samplers.CmaEsSampler\n\u001b[2Kreading sources... [ 64%] reference/samplers/generated/optuna.samplers.GridSampler\n\u001b[2Kreading sources... [ 64%] reference/samplers/generated/optuna.samplers.IntersectionSearchSpace\n\u001b[2Kreading sources... [ 65%] reference/samplers/generated/optuna.samplers.NSGAIIISampler\n\u001b[2Kreading sources... [ 65%] reference/samplers/generated/optuna.samplers.NSGAIISampler\n\u001b[2Kreading sources... [ 66%] reference/samplers/generated/optuna.samplers.PartialFixedSampler\n\u001b[2Kreading sources... [ 66%] reference/samplers/generated/optuna.samplers.QMCSampler\n\u001b[2Kreading sources... [ 67%] reference/samplers/generated/optuna.samplers.RandomSampler\n\u001b[2Kreading sources... [ 67%] reference/samplers/generated/optuna.samplers.TPESampler\n\u001b[2Kreading sources... [ 68%] reference/samplers/generated/optuna.samplers.intersection_search_space\n\u001b[2Kreading sources... [ 68%] reference/samplers/generated/optuna.samplers.nsgaii.BLXAlphaCrossover\n\u001b[2Kreading sources... [ 69%] reference/samplers/generated/optuna.samplers.nsgaii.BaseCrossover\n\u001b[2Kreading sources... [ 69%] reference/samplers/generated/optuna.samplers.nsgaii.SBXCrossover\n\u001b[2Kreading sources... [ 70%] reference/samplers/generated/optuna.samplers.nsgaii.SPXCrossover\n\u001b[2Kreading sources... [ 70%] reference/samplers/generated/optuna.samplers.nsgaii.UNDXCrossover\n\u001b[2Kreading sources... [ 71%] reference/samplers/generated/optuna.samplers.nsgaii.UniformCrossover\n\u001b[2Kreading sources... [ 71%] reference/samplers/generated/optuna.samplers.nsgaii.VSBXCrossover\n\u001b[2Kreading sources... [ 72%] reference/samplers/index\n\u001b[2Kreading sources... [ 72%] reference/samplers/nsgaii\n\u001b[2Kreading sources... [ 73%] reference/search_space\n\u001b[2Kreading sources... [ 73%] reference/storages\n\u001b[2Kreading sources... [ 74%] reference/study\n\u001b[2Kreading sources... [ 74%] reference/terminator\n\u001b[2Kreading sources... [ 75%] reference/trial\n\u001b[2Kreading sources... [ 75%] reference/visualization/generated/optuna.visualization.is_available\n\u001b[2Kreading sources... [ 76%] reference/visualization/generated/optuna.visualization.matplotlib.is_available\n[I 2023-11-01 05:12:37,040] A new study created in memory with name: no-name-2b450eff-406d-4704-a599-a8d3d154e656\n[I 2023-11-01 05:12:37,041] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:12:37,042] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,043] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,044] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,044] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,045] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,046] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,047] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,047] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,048] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,055] Trial 10 finished with value: 734.0822030665411 and parameters: {'x': -27.075490818571343, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,062] Trial 11 finished with value: 73.65352512080509 and parameters: {'x': 8.523703720848413, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,069] Trial 12 finished with value: 772.5301395134916 and parameters: {'x': -27.776431367500965, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,075] Trial 13 finished with value: 144.99637750321034 and parameters: {'x': 11.999849061684499, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,082] Trial 14 finished with value: 58.008999214248114 and parameters: {'x': -7.550430399271827, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,088] Trial 15 finished with value: 1811.5559443721502 and parameters: {'x': -42.574122943076, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,095] Trial 16 finished with value: 101.03717560874351 and parameters: {'x': -10.001858607716043, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,101] Trial 17 finished with value: 9671.11610067409 and parameters: {'x': 98.33674847519664, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,108] Trial 18 finished with value: 731.8040203733697 and parameters: {'x': 27.03338714207618, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,114] Trial 19 finished with value: 1940.8126679916945 and parameters: {'x': -44.06600354004995, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,120] Trial 20 finished with value: 22.671858597340137 and parameters: {'x': -4.6553043506671115, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,127] Trial 21 finished with value: 36.2737132672693 and parameters: {'x': -5.939167725133657, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,133] Trial 22 finished with value: 467.498830386074 and parameters: {'x': 21.598583990300707, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,140] Trial 23 finished with value: 57.683827568626214 and parameters: {'x': -7.5288662870731216, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,147] Trial 24 finished with value: 14.559465794510222 and parameters: {'x': 3.6823179920411846, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,153] Trial 25 finished with value: 1454.2889615335619 and parameters: {'x': 38.1220272484762, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,160] Trial 26 finished with value: 210.54412862953976 and parameters: {'x': 14.475639144077189, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,166] Trial 27 finished with value: 3133.9754124740953 and parameters: {'x': 55.97298823963301, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,173] Trial 28 finished with value: 583.7660288159207 and parameters: {'x': -24.181936002229445, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,180] Trial 29 finished with value: 31.445003865150788 and parameters: {'x': 5.607584494695625, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n<string>:14: ExperimentalWarning:\n\nplot_contour is experimental (supported from v2.2.0). The interface can change in the future.\n\n[W 2023-11-01 05:12:37,180] Output figures of this Matplotlib-based `plot_contour` function would be different from those of the Plotly-based `plot_contour`.\n\u001b[2Kreading sources... [ 76%] reference/visualization/generated/optuna.visualization.matplotlib.plot_contour\n[I 2023-11-01 05:12:37,562] A new study created in memory with name: x=[0,5), y=[0,5)\n[I 2023-11-01 05:12:37,563] Trial 0 finished with value: 9.098775784310966 and parameters: {'x': 3.85660321633373, 'y': 0.1037597467970075}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:12:37,564] Trial 1 finished with value: 11.468279264943558 and parameters: {'x': 3.168241174631377, 'y': 3.744019412693059}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:12:37,565] Trial 2 finished with value: 8.26591744896594 and parameters: {'x': 2.4925350615129522, 'y': 1.1239832276542383}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:12:37,565] Trial 3 finished with value: 9.307353958700034 and parameters: {'x': 0.9903143237981199, 'y': 3.8026535609947936}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:12:37,566] Trial 4 finished with value: 4.4107752374673055 and parameters: {'x': 0.8455541828126772, 'y': 0.44169907087005134}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,567] Trial 5 finished with value: 13.32581053856714 and parameters: {'x': 3.426799091838986, 'y': 4.766966730974683}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,568] Trial 6 finished with value: 7.762294992698612 and parameters: {'x': 0.019741331639572257, 'y': 2.560961316928883}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,568] Trial 7 finished with value: 10.462168809225723 and parameters: {'x': 4.063104808260568, 'y': 3.0626303341469407}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,569] Trial 8 finished with value: 10.766844213449511 and parameters: {'x': 3.6087765871589976, 'y': 1.4593803408531658}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,570] Trial 9 finished with value: 13.513529451283143 and parameters: {'x': 4.588870612564717, 'y': 3.572878916988453}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,571] Trial 10 finished with value: 8.477722801529927 and parameters: {'x': 2.7127218400563065, 'y': 0.7108502380076348}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,571] Trial 11 finished with value: 10.129432776476957 and parameters: {'x': 1.866703800257346, 'y': 3.3706680753317264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,572] Trial 12 finished with value: 8.366790606869595 and parameters: {'x': 2.2091658721149803, 'y': 2.1700699666664685}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,573] Trial 13 finished with value: 10.416955768145217 and parameters: {'x': 3.088834892346586, 'y': 2.5656912127719544}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,574] Trial 14 finished with value: 10.387909622465159 and parameters: {'x': 3.251985909657336, 'y': 3.005194767022722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,574] Trial 15 finished with value: 11.459718019586177 and parameters: {'x': 4.026115984163733, 'y': 2.608235761968171}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,575] Trial 16 finished with value: 12.18680554317172 and parameters: {'x': 4.5432444040433415, 'y': 1.5961804449427264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,576] Trial 17 finished with value: 6.324395711691771 and parameters: {'x': 0.45229674635453687, 'y': 1.5035002831810167}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,577] Trial 18 finished with value: 10.780656392800164 and parameters: {'x': 0.5699218093177488, 'y': 4.143406631538383}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,577] Trial 19 finished with value: 8.416640220838426 and parameters: {'x': 0.23448159694624882, 'y': 3.1314357415569627}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,578] Trial 20 finished with value: 11.302576421368904 and parameters: {'x': 2.737930779596218, 'y': 4.096434978350343}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,579] Trial 21 finished with value: 10.499563087675314 and parameters: {'x': 0.9947376983940615, 'y': 4.284251512288666}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,580] Trial 22 finished with value: 10.513666838860214 and parameters: {'x': 1.7582631971604394, 'y': 3.773238457649286}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,581] Trial 23 finished with value: 11.97926994777533 and parameters: {'x': 1.4798085343983935, 'y': 4.419682397805931}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,581] Trial 24 finished with value: 6.380894606936472 and parameters: {'x': 1.627558189161244, 'y': 0.8250794885957424}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,582] Trial 25 finished with value: 6.685983992257508 and parameters: {'x': 1.9626462197329364, 'y': 0.4673018727932515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,583] Trial 26 finished with value: 10.125719905741311 and parameters: {'x': 4.105528289184642, 'y': 0.7557600982128193}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,584] Trial 27 finished with value: 11.573099481049313 and parameters: {'x': 1.920572243460998, 'y': 4.721303561194006}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,584] Trial 28 finished with value: 12.011941244892594 and parameters: {'x': 4.938127374509361, 'y': 2.2815227354739203}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,585] Trial 29 finished with value: 10.481651724828257 and parameters: {'x': 4.130614219213699, 'y': 1.2568706710352968}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,586] Trial 30 finished with value: 12.415913516504961 and parameters: {'x': 2.9868582411544216, 'y': 4.514158801658137}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,587] Trial 31 finished with value: 10.053592439013652 and parameters: {'x': 2.6727897440090755, 'y': 2.9510068149271147}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,587] Trial 32 finished with value: 5.886579856572837 and parameters: {'x': 0.19640883612693671, 'y': 1.7859087931726814}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,588] Trial 33 finished with value: 6.310127074999574 and parameters: {'x': 0.3980654507798209, 'y': 1.5272995917140912}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,589] Trial 34 finished with value: 10.63044720131769 and parameters: {'x': 1.65359655991066, 'y': 3.8691514810529792}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,590] Trial 35 finished with value: 6.399093285230432 and parameters: {'x': 0.19979604344988633, 'y': 2.1474608921581915}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,590] Trial 36 finished with value: 9.82714713251584 and parameters: {'x': 1.5746343592134415, 'y': 3.1824557153377233}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,591] Trial 37 finished with value: 6.040622694875182 and parameters: {'x': 1.7317357504001651, 'y': 0.2154867810249722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,592] Trial 38 finished with value: 13.124359919044599 and parameters: {'x': 4.39957587258958, 'y': 3.816202935718405}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,593] Trial 39 finished with value: 11.621017540390913 and parameters: {'x': 4.390483213624291, 'y': 2.087545719196335}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,593] Trial 40 finished with value: 10.273148823731859 and parameters: {'x': 3.027887821968784, 'y': 2.567333137041442}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,594] Trial 41 finished with value: 8.74724695064551 and parameters: {'x': 2.989183239814868, 'y': 1.3110783056597515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,595] Trial 42 finished with value: 5.703235939620228 and parameters: {'x': 1.504356544703536, 'y': 0.12699891025053034}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,596] Trial 43 finished with value: 6.8281049033658086 and parameters: {'x': 1.5153128032551737, 'y': 1.2103793770176368}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,596] Trial 44 finished with value: 9.889991012666522 and parameters: {'x': 2.787890943313221, 'y': 2.827535099440838}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,597] Trial 45 finished with value: 8.809099112861492 and parameters: {'x': 2.375661237075253, 'y': 1.4639898814475454}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,598] Trial 46 finished with value: 11.529514400367189 and parameters: {'x': 0.32125530347412223, 'y': 4.894095728788213}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,599] Trial 47 finished with value: 9.116346691166768 and parameters: {'x': 1.6985392181893184, 'y': 2.4752431544122717}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,599] Trial 48 finished with value: 11.665729583461987 and parameters: {'x': 4.885403629613409, 'y': 2.2038691245033326}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,600] Trial 49 finished with value: 9.283138260008634 and parameters: {'x': 1.591364027394756, 'y': 2.5989849293769005}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,601] Trial 50 finished with value: 11.688309982114646 and parameters: {'x': 2.8906821494123376, 'y': 4.269668752502432}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,602] Trial 51 finished with value: 7.7554312065139825 and parameters: {'x': 0.34048636768975016, 'y': 2.3226540388966628}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,602] Trial 52 finished with value: 12.275135396487016 and parameters: {'x': 3.909745593095742, 'y': 3.5930140519112514}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,603] Trial 53 finished with value: 7.599136984880452 and parameters: {'x': 2.9301099002658795, 'y': 0.18547206617203937}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,604] Trial 54 finished with value: 8.971518754151079 and parameters: {'x': 1.7532819564156648, 'y': 2.815953422463725}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,605] Trial 55 finished with value: 9.191843219831416 and parameters: {'x': 1.4986493621228143, 'y': 2.5616707663677465}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,605] Trial 56 finished with value: 9.633721562166217 and parameters: {'x': 3.3673346264236024, 'y': 0.7959686668904675}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,606] Trial 57 finished with value: 6.186229741277476 and parameters: {'x': 0.2523883507699881, 'y': 1.6890794353233973}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,607] Trial 58 finished with value: 4.552022343284264 and parameters: {'x': 0.5403188638972628, 'y': 0.8945140428554521}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,608] Trial 59 finished with value: 11.758020264004587 and parameters: {'x': 4.429135480838529, 'y': 1.826824856070579}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,608] Trial 60 finished with value: 9.65103717665648 and parameters: {'x': 1.0938467458976837, 'y': 3.762480851093014}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,609] Trial 61 finished with value: 10.404668371552354 and parameters: {'x': 0.5343979219678457, 'y': 3.723016203877803}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,610] Trial 62 finished with value: 9.807137735649274 and parameters: {'x': 2.3489264672024723, 'y': 2.991278356395546}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,611] Trial 63 finished with value: 4.297890789772584 and parameters: {'x': 0.7381009614264883, 'y': 0.9201741104657563}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,611] Trial 64 finished with value: 8.956435845330386 and parameters: {'x': 3.2253606323412094, 'y': 0.24314003131702788}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,612] Trial 65 finished with value: 8.694250835326496 and parameters: {'x': 1.2430625390138472, 'y': 2.7120425811400213}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,613] Trial 66 finished with value: 5.986545159935034 and parameters: {'x': 1.133866716350046, 'y': 1.9070576745231604}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,614] Trial 67 finished with value: 14.297386483409563 and parameters: {'x': 4.611163934517731, 'y': 4.626784364338884}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,614] Trial 68 finished with value: 10.180452207698272 and parameters: {'x': 2.8337496228749997, 'y': 2.667354424945013}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,615] Trial 69 finished with value: 10.407363938709986 and parameters: {'x': 0.07430012316614054, 'y': 4.889496317010025}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,616] Trial 70 finished with value: 10.440149099446987 and parameters: {'x': 2.8651445201659294, 'y': 3.95878498138312}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,617] Trial 71 finished with value: 12.32523091547919 and parameters: {'x': 2.8077868013818446, 'y': 4.3866762078246735}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,618] Trial 72 finished with value: 11.31269157398866 and parameters: {'x': 2.9209791426533775, 'y': 3.544249131844776}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,618] Trial 73 finished with value: 6.868040784289896 and parameters: {'x': 0.7426672567822928, 'y': 2.142253694839482}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,619] Trial 74 finished with value: 10.168253595722678 and parameters: {'x': 3.4694503317120584, 'y': 0.5230987226142658}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,620] Trial 75 finished with value: 6.875279830510534 and parameters: {'x': 2.1980261888729524, 'y': 0.8310107385226684}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,621] Trial 76 finished with value: 11.669355532080532 and parameters: {'x': 2.5348931463202367, 'y': 4.095179320681063}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,621] Trial 77 finished with value: 10.375729066395554 and parameters: {'x': 0.45053367362219265, 'y': 4.000343753470726}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,622] Trial 78 finished with value: 9.47494195262567 and parameters: {'x': 2.8256317697890228, 'y': 2.946738558403037}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,623] Trial 79 finished with value: 6.429800222532773 and parameters: {'x': 0.9905032860813445, 'y': 2.1805912766941713}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,624] Trial 80 finished with value: 5.784554009886445 and parameters: {'x': 1.4795188111041868, 'y': 0.18778837970838846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,624] Trial 81 finished with value: 6.944951718546044 and parameters: {'x': 0.15342420186473138, 'y': 2.2655250010061674}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,625] Trial 82 finished with value: 11.32465496841092 and parameters: {'x': 3.7243203847503388, 'y': 2.7864770311819846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,626] Trial 83 finished with value: 5.814616800694608 and parameters: {'x': 1.9255679978274327, 'y': 0.8403639876630931}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,627] Trial 84 finished with value: 11.092120639966868 and parameters: {'x': 4.1913066035184645, 'y': 2.995258987307463}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,627] Trial 85 finished with value: 12.30613781768253 and parameters: {'x': 3.9135740912248558, 'y': 4.242545909473573}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,628] Trial 86 finished with value: 10.276422024397286 and parameters: {'x': 3.0158148793101742, 'y': 3.9053030864514104}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,629] Trial 87 finished with value: 7.479769890494953 and parameters: {'x': 3.0786843801678465, 'y': 0.10582595586077492}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,630] Trial 88 finished with value: 9.671206282931806 and parameters: {'x': 3.752323052437455, 'y': 0.8802106664184695}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,631] Trial 89 finished with value: 9.869658626214864 and parameters: {'x': 2.292571031186365, 'y': 2.5656135386612258}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,631] Trial 90 finished with value: 11.964499715377078 and parameters: {'x': 2.420104451434129, 'y': 4.2219289726967375}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,632] Trial 91 finished with value: 2.826913907516392 and parameters: {'x': 0.874069474110597, 'y': 0.0731743755162495}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,633] Trial 92 finished with value: 12.799381162755227 and parameters: {'x': 4.24382035905616, 'y': 3.7133728864971705}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,634] Trial 93 finished with value: 8.415639605279267 and parameters: {'x': 2.283487676600861, 'y': 2.084492035246889}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,634] Trial 94 finished with value: 6.648507949382903 and parameters: {'x': 0.5836475547348163, 'y': 1.6933956649466986}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,635] Trial 95 finished with value: 10.321671031403987 and parameters: {'x': 0.4732952037182653, 'y': 3.579154363756571}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,636] Trial 96 finished with value: 4.476198346748607 and parameters: {'x': 0.3854270220801931, 'y': 1.0297512918448626}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,637] Trial 97 finished with value: 9.179908484929722 and parameters: {'x': 2.868881157256011, 'y': 1.4691577760188401}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,637] Trial 98 finished with value: 11.609756716580515 and parameters: {'x': 3.278633713572991, 'y': 4.017841738716098}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,638] Trial 99 finished with value: 6.625902168595072 and parameters: {'x': 1.7560675149820437, 'y': 0.4672018847188353}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,639] Trial 100 finished with value: 11.261545077172835 and parameters: {'x': 4.066580418354021, 'y': 3.9243335913847344}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,640] Trial 101 finished with value: 11.190968700537157 and parameters: {'x': 1.967095562182577, 'y': 4.322395969009766}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,640] Trial 102 finished with value: 6.911109890757974 and parameters: {'x': 1.9201538405786622, 'y': 1.2865144360250191}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,641] Trial 103 finished with value: 12.490683781539499 and parameters: {'x': 4.1470095991361795, 'y': 3.681913519192817}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,642] Trial 104 finished with value: 10.848166908046393 and parameters: {'x': 2.538004540274797, 'y': 3.2216330752070848}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,643] Trial 105 finished with value: 11.32542096737529 and parameters: {'x': 1.0659328268932406, 'y': 4.478544743517791}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,643] Trial 106 finished with value: 12.145433872665942 and parameters: {'x': 4.829731257539075, 'y': 1.5850078115289405}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,644] Trial 107 finished with value: 11.786981252421768 and parameters: {'x': 4.327763091136416, 'y': 1.5514185347005949}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,645] Trial 108 finished with value: 2.0472944535777273 and parameters: {'x': 0.12631972715908546, 'y': 0.24597578886864313}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,646] Trial 109 finished with value: 4.145224959722373 and parameters: {'x': 0.9231341900713275, 'y': 0.34516670808627026}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,646] Trial 110 finished with value: 11.931360118539573 and parameters: {'x': 1.2873771170227155, 'y': 4.567908657853373}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,647] Trial 111 finished with value: 7.772705651810355 and parameters: {'x': 2.2892475598720523, 'y': 0.6510589473979744}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,648] Trial 112 finished with value: 9.524332905886311 and parameters: {'x': 4.0494583270008935, 'y': 2.01734920240333}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,649] Trial 113 finished with value: 10.520695532088595 and parameters: {'x': 0.12216322491582055, 'y': 4.284155213138763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,650] Trial 114 finished with value: 10.597438973670814 and parameters: {'x': 1.371474095076981, 'y': 3.5455298203599526}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,650] Trial 115 finished with value: 10.120097947889937 and parameters: {'x': 1.7788617141183165, 'y': 3.971545309132671}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,651] Trial 116 finished with value: 11.960450407585382 and parameters: {'x': 4.223094305719252, 'y': 2.690737585699792}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,652] Trial 117 finished with value: 8.587748682117635 and parameters: {'x': 2.795432582016292, 'y': 0.6125499071870993}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,653] Trial 118 finished with value: 7.369283296210424 and parameters: {'x': 1.8882095928704012, 'y': 2.1437366456452134}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,653] Trial 119 finished with value: 12.663827787679372 and parameters: {'x': 2.556043231427327, 'y': 4.458812849678472}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,654] Trial 120 finished with value: 7.650631541913702 and parameters: {'x': 1.5010530579700654, 'y': 1.9822093943922525}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,655] Trial 121 finished with value: 9.498157519309544 and parameters: {'x': 3.9663661651380706, 'y': 2.061380386767003}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,656] Trial 122 finished with value: 10.019682178888301 and parameters: {'x': 0.9243377499545619, 'y': 4.201236580441953}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,656] Trial 123 finished with value: 8.237633967855434 and parameters: {'x': 2.8463569985064425, 'y': 0.3002510277540982}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,657] Trial 124 finished with value: 10.781591638486919 and parameters: {'x': 4.944584870981005, 'y': 1.1439116660098265}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,658] Trial 125 finished with value: 8.621572297432854 and parameters: {'x': 3.0735085649008482, 'y': 1.8401334041772972}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,659] Trial 126 finished with value: 10.713009182969788 and parameters: {'x': 4.013879681741232, 'y': 3.1378092635281445}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,659] Trial 127 finished with value: 10.98074403397134 and parameters: {'x': 4.106082380991301, 'y': 1.441265693961082}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,660] Trial 128 finished with value: 9.024647633357716 and parameters: {'x': 1.3739756579638436, 'y': 3.00525945566255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,661] Trial 129 finished with value: 13.49082379516863 and parameters: {'x': 4.692570986046688, 'y': 3.5364815467071864}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,662] Trial 130 finished with value: 5.874821960577492 and parameters: {'x': 1.3170158247837875, 'y': 0.6116796055750251}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,663] Trial 131 finished with value: 12.140532436293423 and parameters: {'x': 2.2936211459493183, 'y': 4.8740624969833455}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,663] Trial 132 finished with value: 9.508596165882706 and parameters: {'x': 3.4028718722222235, 'y': 0.9662686614323052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,664] Trial 133 finished with value: 11.43232227635066 and parameters: {'x': 0.233696135806975, 'y': 4.763219683853119}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,665] Trial 134 finished with value: 12.909468873966272 and parameters: {'x': 4.2932450773421325, 'y': 4.139515878742856}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,666] Trial 135 finished with value: 11.717204018330282 and parameters: {'x': 4.819502614191414, 'y': 2.994682245363374}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,666] Trial 136 finished with value: 11.730163602366163 and parameters: {'x': 4.654579179238757, 'y': 0.733844071393634}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,667] Trial 137 finished with value: 6.653881018965677 and parameters: {'x': 0.569801543773461, 'y': 1.8601445108691723}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,668] Trial 138 finished with value: 10.741151207828954 and parameters: {'x': 3.832800632854534, 'y': 1.6057101573247974}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,669] Trial 139 finished with value: 8.041035108445248 and parameters: {'x': 3.1901754067231334, 'y': 0.04610550834939442}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,669] Trial 140 finished with value: 9.248413466368948 and parameters: {'x': 2.71732519237458, 'y': 1.6887732344259176}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,670] Trial 141 finished with value: 14.219077219048492 and parameters: {'x': 4.490121544247577, 'y': 4.703535192416116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,671] Trial 142 finished with value: 6.631265309603911 and parameters: {'x': 1.920609245767847, 'y': 1.9805889617029848}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,672] Trial 143 finished with value: 11.598473392731933 and parameters: {'x': 4.48639972409674, 'y': 0.2941118405092352}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,672] Trial 144 finished with value: 6.694767599306697 and parameters: {'x': 2.0268964421478453, 'y': 0.6508777031545621}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,673] Trial 145 finished with value: 10.288922686627453 and parameters: {'x': 0.4348470446230879, 'y': 3.919821434794939}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,674] Trial 146 finished with value: 9.21998684759554 and parameters: {'x': 1.5228667767331006, 'y': 2.9202793627763453}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,675] Trial 147 finished with value: 13.970932382384035 and parameters: {'x': 4.392330892133315, 'y': 4.403960303067703}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,675] Trial 148 finished with value: 10.220646476518713 and parameters: {'x': 3.004771036228382, 'y': 3.2261387284201657}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,676] Trial 149 finished with value: 6.025594798063533 and parameters: {'x': 0.28314101419053106, 'y': 1.487420484879609}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,677] Trial 150 finished with value: 9.686112989082387 and parameters: {'x': 3.458873037882333, 'y': 0.9451472642781766}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,678] Trial 151 finished with value: 11.477795880312842 and parameters: {'x': 4.015037683584489, 'y': 2.5738187492835642}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,679] Trial 152 finished with value: 9.536662274540596 and parameters: {'x': 3.7864302015780735, 'y': 0.8889437430854896}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,679] Trial 153 finished with value: 8.138475011363663 and parameters: {'x': 0.41310145647746377, 'y': 2.4103598486142923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,680] Trial 154 finished with value: 11.493703576527055 and parameters: {'x': 2.6442693968106306, 'y': 3.481541359044985}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,681] Trial 155 finished with value: 9.341702473870399 and parameters: {'x': 1.023808070150981, 'y': 3.356861649786817}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,682] Trial 156 finished with value: 9.45980967724605 and parameters: {'x': 3.966346626632103, 'y': 0.20868906258480535}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,682] Trial 157 finished with value: 13.378541634779003 and parameters: {'x': 4.816787528607454, 'y': 4.876963585866664}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,683] Trial 158 finished with value: 8.398878019226897 and parameters: {'x': 2.7533039211090755, 'y': 0.3245349120330482}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,684] Trial 159 finished with value: 5.671727248950585 and parameters: {'x': 1.7261839493092874, 'y': 0.1021498440574764}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,685] Trial 160 finished with value: 8.900670733919403 and parameters: {'x': 4.0042590489180805, 'y': 1.039635490660757}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,685] Trial 161 finished with value: 10.104130916382784 and parameters: {'x': 0.7162625545259099, 'y': 3.4994699226462638}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,686] Trial 162 finished with value: 5.315897263639183 and parameters: {'x': 0.28974903005027364, 'y': 1.2830378342449826}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,687] Trial 163 finished with value: 12.628574431426383 and parameters: {'x': 2.551658922744225, 'y': 4.97629392410128}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,688] Trial 164 finished with value: 7.447601498443641 and parameters: {'x': 0.7325783965840083, 'y': 2.247573887993382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,689] Trial 165 finished with value: 8.717294962338975 and parameters: {'x': 3.007201880914031, 'y': 0.48636247069940075}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,689] Trial 166 finished with value: 10.747736503597993 and parameters: {'x': 1.4436744027098762, 'y': 3.603999509537035}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,690] Trial 167 finished with value: 11.672696062044226 and parameters: {'x': 2.754030320204744, 'y': 4.192885075269436}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,691] Trial 168 finished with value: 7.3765020440620965 and parameters: {'x': 2.901656757339883, 'y': 0.9228586830481306}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,692] Trial 169 finished with value: 12.413208648223295 and parameters: {'x': 3.077510585292704, 'y': 4.434775442343052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,692] Trial 170 finished with value: 10.541150607138487 and parameters: {'x': 2.5839463891022096, 'y': 3.130718345632117}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,693] Trial 171 finished with value: 12.756318698680404 and parameters: {'x': 2.525295587782306, 'y': 4.5483128829327715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,694] Trial 172 finished with value: 9.05472987128604 and parameters: {'x': 2.0665232778228515, 'y': 2.677343581458615}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,695] Trial 173 finished with value: 6.621158640130886 and parameters: {'x': 1.713215627822633, 'y': 0.6478838857163005}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,696] Trial 174 finished with value: 13.166998514264037 and parameters: {'x': 3.3141087569999437, 'y': 4.678350009978248}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,696] Trial 175 finished with value: 11.37039215348121 and parameters: {'x': 3.06364590964527, 'y': 4.213692497248822}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,697] Trial 176 finished with value: 11.421697035283117 and parameters: {'x': 1.0895421810142136, 'y': 4.515858698649607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,698] Trial 177 finished with value: 3.399518378372946 and parameters: {'x': 0.04884988559842873, 'y': 1.1290636333171737}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,699] Trial 178 finished with value: 11.790711998551938 and parameters: {'x': 0.6602756363599344, 'y': 4.537714732580255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,700] Trial 179 finished with value: 12.457058855171512 and parameters: {'x': 4.5511531832988155, 'y': 2.9052895356745245}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,700] Trial 180 finished with value: 4.270689977380076 and parameters: {'x': 0.4374652626195269, 'y': 0.5843971978719908}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,701] Trial 181 finished with value: 12.240165558984787 and parameters: {'x': 3.8553562765392724, 'y': 3.6639763439826103}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,702] Trial 182 finished with value: 6.590515277343432 and parameters: {'x': 0.435641784662561, 'y': 1.7873159905994234}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,703] Trial 183 finished with value: 10.17214430542262 and parameters: {'x': 3.8660581087613077, 'y': 0.6573580080587804}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,703] Trial 184 finished with value: 11.43917166431362 and parameters: {'x': 2.68916216926987, 'y': 3.7736178311347457}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,704] Trial 185 finished with value: 8.969937960798413 and parameters: {'x': 1.3626308799556757, 'y': 2.8325849795366413}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,705] Trial 186 finished with value: 10.041893106125363 and parameters: {'x': 2.3834248535833096, 'y': 2.7831034627091973}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,706] Trial 187 finished with value: 10.826547273250752 and parameters: {'x': 2.2036852870690056, 'y': 3.4686868213095585}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,706] Trial 188 finished with value: 12.426924191010318 and parameters: {'x': 3.5911859015982364, 'y': 3.7819117894779923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,707] Trial 189 finished with value: 9.532608489210268 and parameters: {'x': 0.18661004505669543, 'y': 3.394176984464907}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,708] Trial 190 finished with value: 8.135150111944762 and parameters: {'x': 2.386104004539672, 'y': 0.5008569383546607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,709] Trial 191 finished with value: 11.234871968202231 and parameters: {'x': 3.070981168573452, 'y': 4.18957254483098}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,710] Trial 192 finished with value: 10.837341646724049 and parameters: {'x': 3.6694701882941674, 'y': 1.6078279135595364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,710] Trial 193 finished with value: 2.853729868628715 and parameters: {'x': 0.33927655543450175, 'y': 0.1866511853213626}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,711] Trial 194 finished with value: 8.102320702453188 and parameters: {'x': 2.7956265198024104, 'y': 0.8042634963427392}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,712] Trial 195 finished with value: 6.2265106786220485 and parameters: {'x': 1.3394409285104592, 'y': 1.1785597821799847}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,713] Trial 196 finished with value: 3.2200767735665927 and parameters: {'x': 0.0967373080891365, 'y': 0.7584321219748957}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,713] Trial 197 finished with value: 10.792978685682154 and parameters: {'x': 0.1695125656628088, 'y': 4.909174290439391}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,714] Trial 198 finished with value: 10.474479619963939 and parameters: {'x': 1.8024265507702935, 'y': 4.127322642810085}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,715] Trial 199 finished with value: 7.000149994893448 and parameters: {'x': 2.0611870425872763, 'y': 1.2658957315496995}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,716] Trial 200 finished with value: 9.720250252035754 and parameters: {'x': 1.1835543824008021, 'y': 3.865577996383569}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,716] Trial 201 finished with value: 12.227465780083314 and parameters: {'x': 3.3562845256281584, 'y': 3.531654426003335}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,717] Trial 202 finished with value: 12.210582618377428 and parameters: {'x': 4.265777065952011, 'y': 2.6102478341800395}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,718] Trial 203 finished with value: 9.417005707712555 and parameters: {'x': 2.2138482666072563, 'y': 2.7687422062775187}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,719] Trial 204 finished with value: 11.469682332813566 and parameters: {'x': 3.25997424203055, 'y': 3.942769372376201}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,720] Trial 205 finished with value: 12.079734998646657 and parameters: {'x': 4.461347258463439, 'y': 1.5455257933952686}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,720] Trial 206 finished with value: 10.242782580711673 and parameters: {'x': 0.6780488613353464, 'y': 3.7546332592209364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,721] Trial 207 finished with value: 11.349746970151045 and parameters: {'x': 2.634166107685379, 'y': 3.9236929038023707}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,722] Trial 208 finished with value: 10.85409333443086 and parameters: {'x': 2.1496305142828613, 'y': 4.19423293806763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,723] Trial 209 finished with value: 8.748226607352638 and parameters: {'x': 2.6867701271181477, 'y': 1.2521196657508715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,723] Trial 210 finished with value: 3.6675219100206 and parameters: {'x': 0.2944700572038689, 'y': 0.4597464245382382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,724] Trial 211 finished with value: 6.733554910774435 and parameters: {'x': 0.8709997157072319, 'y': 2.1962717529913767}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,725] Trial 212 finished with value: 13.275572772621532 and parameters: {'x': 4.054671125375529, 'y': 4.552010618031673}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,726] Trial 213 finished with value: 9.156372510625387 and parameters: {'x': 2.8804535600599386, 'y': 1.455772148901746}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,726] Trial 214 finished with value: 11.053685497303166 and parameters: {'x': 3.258931858906078, 'y': 3.1896035037778403}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,727] Trial 215 finished with value: 12.688867058298401 and parameters: {'x': 2.5178736985866528, 'y': 4.827763578108981}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,728] Trial 216 finished with value: 13.143915044023823 and parameters: {'x': 4.033455748052451, 'y': 4.642596782018086}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,729] Trial 217 finished with value: 11.501118854064435 and parameters: {'x': 3.0696756333221895, 'y': 4.910019581715506}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,730] Trial 218 finished with value: 9.618849650879131 and parameters: {'x': 3.574939779226631, 'y': 0.043296357086455295}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,730] Trial 219 finished with value: 11.337201623088333 and parameters: {'x': 1.4407279049690558, 'y': 4.206993287509106}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,731] Trial 220 finished with value: 6.882791405849485 and parameters: {'x': 2.215885435136737, 'y': 0.8652486173830182}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,732] Trial 221 finished with value: 10.356085023005411 and parameters: {'x': 0.5726355611313177, 'y': 3.9894029801061537}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,733] Trial 222 finished with value: 10.902930543766338 and parameters: {'x': 3.244525757228069, 'y': 2.50872999073498}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,733] Trial 223 finished with value: 9.72674798257857 and parameters: {'x': 1.428201041160826, 'y': 3.1834791424269584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,734] Trial 224 finished with value: 8.999635175804276 and parameters: {'x': 1.8417095266511174, 'y': 2.6976927167612597}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,735] Trial 225 finished with value: 12.342284304379254 and parameters: {'x': 3.810334009899379, 'y': 4.199437405771903}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,736] Trial 226 finished with value: 8.504027200451612 and parameters: {'x': 0.5247870601084398, 'y': 2.553156541729579}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,736] Trial 227 finished with value: 9.080756473737205 and parameters: {'x': 3.2274433137208787, 'y': 0.7653340712632956}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,737] Trial 228 finished with value: 10.498147057144351 and parameters: {'x': 0.008798245521798864, 'y': 4.8352287661502515}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,738] Trial 229 finished with value: 10.625090716792682 and parameters: {'x': 4.039332666325461, 'y': 1.3703379468173575}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,739] Trial 230 finished with value: 6.1355422884542605 and parameters: {'x': 1.3954480353606296, 'y': 0.6033982071098909}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,740] Trial 231 finished with value: 12.682917751678975 and parameters: {'x': 2.403441324954285, 'y': 4.661509893812813}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,740] Trial 232 finished with value: 11.774995548643213 and parameters: {'x': 4.574637128841343, 'y': 1.219375479879055}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,741] Trial 233 finished with value: 10.978375842604487 and parameters: {'x': 1.9742914820793693, 'y': 4.851197651132945}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,742] Trial 234 finished with value: 12.119938844650308 and parameters: {'x': 1.378098168018807, 'y': 4.6892472043320685}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,743] Trial 235 finished with value: 13.137380053631484 and parameters: {'x': 3.845060785117532, 'y': 4.423593440530303}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,743] Trial 236 finished with value: 11.31174382971022 and parameters: {'x': 4.355024876220002, 'y': 0.7323547961340754}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,744] Trial 237 finished with value: 13.188985764251004 and parameters: {'x': 3.9459439396258817, 'y': 4.546111228357549}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,745] Trial 238 finished with value: 12.775291947108045 and parameters: {'x': 4.190852742653525, 'y': 3.5601559319358116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,746] Trial 239 finished with value: 7.707597241407441 and parameters: {'x': 1.536897092687322, 'y': 1.7689227738549467}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,747] Trial 240 finished with value: 5.22672624314151 and parameters: {'x': 1.1817669761188916, 'y': 0.4490581953161277}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,747] Trial 241 finished with value: 7.510297578894374 and parameters: {'x': 0.9723908716101909, 'y': 3.079039376835584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,748] Trial 242 finished with value: 13.44024542713433 and parameters: {'x': 4.660418377825547, 'y': 3.4554197489155487}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,749] Trial 243 finished with value: 8.844390826703956 and parameters: {'x': 2.8142352335212815, 'y': 1.3187789770627112}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,750] Trial 244 finished with value: 11.40539149996344 and parameters: {'x': 2.6357344044248325, 'y': 4.021914573545422}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,751] Trial 245 finished with value: 6.133436500818917 and parameters: {'x': 1.4753794695299933, 'y': 0.9166927527975044}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,751] Trial 246 finished with value: 9.542874483876695 and parameters: {'x': 0.09866229753310307, 'y': 3.716606159862748}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,752] Trial 247 finished with value: 6.48812817105026 and parameters: {'x': 0.191467020929183, 'y': 2.1683983448692428}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,753] Trial 248 finished with value: 9.554429765837991 and parameters: {'x': 4.1604238065637436, 'y': 0.06729279249878872}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,754] Trial 249 finished with value: 10.10757671940421 and parameters: {'x': 2.546676957570693, 'y': 2.397743500706264}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,755] Trial 250 finished with value: 1.0107616991357382 and parameters: {'x': 0.14827470398864118, 'y': 0.05714263412033127}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,755] Trial 251 finished with value: 6.323876055572224 and parameters: {'x': 1.6592200011724718, 'y': 0.30715539302647477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,756] Trial 252 finished with value: 12.27777005427824 and parameters: {'x': 2.990867540282372, 'y': 4.4296012676131165}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,757] Trial 253 finished with value: 5.888565518184436 and parameters: {'x': 2.0606688768197037, 'y': 0.19136099451097843}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,758] Trial 254 finished with value: 3.846931736921775 and parameters: {'x': 0.40421201895402825, 'y': 0.4095727115092429}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,759] Trial 255 finished with value: 11.116741954263512 and parameters: {'x': 4.046836669107675, 'y': 4.003470014424989}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,759] Trial 256 finished with value: 10.548427810995527 and parameters: {'x': 0.08454905677353852, 'y': 4.306471626153089}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,760] Trial 257 finished with value: 11.794532699469258 and parameters: {'x': 4.556501121762242, 'y': 2.0043834231758106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,761] Trial 258 finished with value: 11.358371336061872 and parameters: {'x': 1.4344534916885388, 'y': 4.2152244263191925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,762] Trial 259 finished with value: 8.604726890176462 and parameters: {'x': 3.0852227648870825, 'y': 0.702993633926971}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,762] Trial 260 finished with value: 10.368046930771534 and parameters: {'x': 1.1437780685795795, 'y': 4.20748985587598}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,763] Trial 261 finished with value: 10.292732211355425 and parameters: {'x': 4.22179236754099, 'y': 1.1007299669031934}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,764] Trial 262 finished with value: 11.369252561448086 and parameters: {'x': 4.05568819876081, 'y': 2.679767669445578}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,765] Trial 263 finished with value: 10.280651858444699 and parameters: {'x': 3.052142244912166, 'y': 2.6193494156314086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,766] Trial 264 finished with value: 8.07278439807948 and parameters: {'x': 3.1981457424778132, 'y': 0.025781740169585343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,766] Trial 265 finished with value: 9.556500701329405 and parameters: {'x': 0.12369391707809763, 'y': 3.4501319265785617}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,767] Trial 266 finished with value: 9.816116481887354 and parameters: {'x': 0.857965097811067, 'y': 3.469653368443282}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,768] Trial 267 finished with value: 5.842310943888105 and parameters: {'x': 1.426328115609064, 'y': 0.27552960390844206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,769] Trial 268 finished with value: 9.184290769515863 and parameters: {'x': 2.911114512930047, 'y': 1.4790936328279773}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,769] Trial 269 finished with value: 12.106973431816996 and parameters: {'x': 1.6140806778765233, 'y': 4.834946939274982}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,770] Trial 270 finished with value: 6.055173789253882 and parameters: {'x': 0.9746733239154337, 'y': 1.7369825257280702}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,771] Trial 271 finished with value: 6.801636111260548 and parameters: {'x': 0.5200703255535455, 'y': 2.0089092623724447}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,772] Trial 272 finished with value: 8.431382325178696 and parameters: {'x': 0.46423822543645576, 'y': 2.5242190323084963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,773] Trial 273 finished with value: 9.429375698322708 and parameters: {'x': 3.712953704723704, 'y': 0.026452545846914477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,773] Trial 274 finished with value: 3.601690824054902 and parameters: {'x': 0.45080584422510395, 'y': 0.2809199045597016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,774] Trial 275 finished with value: 13.867914662524237 and parameters: {'x': 4.421628316832168, 'y': 4.927929283264253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,775] Trial 276 finished with value: 8.12543959172015 and parameters: {'x': 2.6008734281374934, 'y': 0.9920871476639787}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,776] Trial 277 finished with value: 13.061611962615949 and parameters: {'x': 4.666741580415096, 'y': 3.2729910167106846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,776] Trial 278 finished with value: 11.43329057734574 and parameters: {'x': 3.9589587358004352, 'y': 2.556078393056895}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,777] Trial 279 finished with value: 10.536218642414656 and parameters: {'x': 3.9410594618961015, 'y': 1.6739836583743362}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,778] Trial 280 finished with value: 11.836721075355921 and parameters: {'x': 0.5662656720869486, 'y': 4.524069883514123}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,779] Trial 281 finished with value: 2.56045959627064 and parameters: {'x': 0.021119567542035034, 'y': 0.36751940303380193}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,780] Trial 282 finished with value: 11.83237063871328 and parameters: {'x': 0.6614568197768117, 'y': 4.7107495963735}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,780] Trial 283 finished with value: 6.367933259946817 and parameters: {'x': 1.514648431213112, 'y': 1.066565255901516}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,781] Trial 284 finished with value: 5.672598765407816 and parameters: {'x': 1.2783127625776287, 'y': 0.4796003339718996}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,782] Trial 285 finished with value: 10.385824371877787 and parameters: {'x': 2.0089894149954834, 'y': 3.655138201778497}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,783] Trial 286 finished with value: 9.468906639144176 and parameters: {'x': 3.2410496762079544, 'y': 1.2542279041725952}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,783] Trial 287 finished with value: 8.275616859112345 and parameters: {'x': 1.1371945697591408, 'y': 2.4790807917023434}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,784] Trial 288 finished with value: 12.332042617986879 and parameters: {'x': 4.323824833914893, 'y': 3.1703187656142324}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,785] Trial 289 finished with value: 10.616297086619696 and parameters: {'x': 3.7724623745413237, 'y': 2.1856159563386592}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,786] Trial 290 finished with value: 10.436104291698209 and parameters: {'x': 2.001060451213909, 'y': 3.6145815697262718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,787] Trial 291 finished with value: 8.794036139572007 and parameters: {'x': 1.861842897061573, 'y': 2.7629901519965023}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,787] Trial 292 finished with value: 8.543717978852516 and parameters: {'x': 0.40231808678595715, 'y': 2.97137783551767}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,788] Trial 293 finished with value: 10.720706351202566 and parameters: {'x': 1.404607334666036, 'y': 3.712237931572004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,789] Trial 294 finished with value: 10.791279999427607 and parameters: {'x': 1.4941359832634156, 'y': 3.787683420855808}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,790] Trial 295 finished with value: 3.3759630562706633 and parameters: {'x': 1.1318006900942001, 'y': 0.022038224615346658}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,790] Trial 296 finished with value: 6.328225222651152 and parameters: {'x': 0.6989014049359793, 'y': 1.4788185112007963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,791] Trial 297 finished with value: 7.859824043178897 and parameters: {'x': 0.9779690812537833, 'y': 2.7444101892144577}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,792] Trial 298 finished with value: 9.03281296423037 and parameters: {'x': 1.0499608504502294, 'y': 3.8924608513935106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,793] Trial 299 finished with value: 10.620615567321307 and parameters: {'x': 2.423399515211379, 'y': 3.1967019636164173}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,794] Trial 300 finished with value: 11.516797528464172 and parameters: {'x': 0.8384815371736137, 'y': 4.623413018911441}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,794] Trial 301 finished with value: 10.111886767394223 and parameters: {'x': 3.586699756816521, 'y': 0.7740680574908343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,795] Trial 302 finished with value: 9.836637987623748 and parameters: {'x': 3.6181680290969664, 'y': 0.932049629125622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,796] Trial 303 finished with value: 9.558754652272322 and parameters: {'x': 4.148322826217383, 'y': 0.9832088166987718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,797] Trial 304 finished with value: 12.425351652364135 and parameters: {'x': 4.806503345558579, 'y': 2.7379879240822897}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,797] Trial 305 finished with value: 4.323918901870375 and parameters: {'x': 1.114317998680301, 'y': 1.0636334525707207}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,798] Trial 306 finished with value: 10.305612608299866 and parameters: {'x': 3.1399398120322, 'y': 3.16638064574976}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,799] Trial 307 finished with value: 10.97430213769254 and parameters: {'x': 1.516395186429309, 'y': 4.081838757267333}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,800] Trial 308 finished with value: 9.870730647526344 and parameters: {'x': 2.0952835850444718, 'y': 4.069291426169951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,801] Trial 309 finished with value: 11.759512309986066 and parameters: {'x': 1.3260758528051553, 'y': 4.917127357017433}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,801] Trial 310 finished with value: 11.981160675499067 and parameters: {'x': 4.361526613299537, 'y': 2.242622946824728}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,802] Trial 311 finished with value: 5.876524131282984 and parameters: {'x': 1.676922549236917, 'y': 0.1485302699169916}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,803] Trial 312 finished with value: 13.102557317214668 and parameters: {'x': 4.954683743247883, 'y': 3.404747624152946}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,804] Trial 313 finished with value: 3.556361695609432 and parameters: {'x': 0.9457909320079672, 'y': 0.2252277474858655}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,804] Trial 314 finished with value: 8.87521749375287 and parameters: {'x': 0.0656977268124953, 'y': 3.309053083147978}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,805] Trial 315 finished with value: 6.476920544203612 and parameters: {'x': 0.5375617234826391, 'y': 1.5497881965234401}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,806] Trial 316 finished with value: 6.474013023556381 and parameters: {'x': 1.5397372414690502, 'y': 0.5873611308241922}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,807] Trial 317 finished with value: 13.685574803390994 and parameters: {'x': 4.734657103975001, 'y': 4.886952746178025}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,808] Trial 318 finished with value: 13.186159803321855 and parameters: {'x': 4.522396271343545, 'y': 3.980900747325177}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,808] Trial 319 finished with value: 10.182630143544603 and parameters: {'x': 0.32714711433914023, 'y': 3.5851931299846216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,809] Trial 320 finished with value: 7.545386493181928 and parameters: {'x': 2.2795521713986853, 'y': 0.7574185647525072}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,810] Trial 321 finished with value: 8.638261103686963 and parameters: {'x': 3.2336009756118003, 'y': 0.14617285939798774}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,811] Trial 322 finished with value: 13.291024791731683 and parameters: {'x': 3.7676043625502604, 'y': 4.448664730450772}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,811] Trial 323 finished with value: 5.694105094624511 and parameters: {'x': 0.05190019638577792, 'y': 1.6371392140332086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,812] Trial 324 finished with value: 10.783326963098192 and parameters: {'x': 4.142455457362445, 'y': 0.5629879698020956}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,813] Trial 325 finished with value: 9.235517675024784 and parameters: {'x': 0.12347868956855801, 'y': 4.071767644361329}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,814] Trial 326 finished with value: 6.097217281302395 and parameters: {'x': 1.2445263598758256, 'y': 1.2459829781456622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,815] Trial 327 finished with value: 5.959002451181533 and parameters: {'x': 0.7911840003011694, 'y': 1.3802797427861135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,816] Trial 328 finished with value: 7.483850239123026 and parameters: {'x': 2.14355172786834, 'y': 1.2921090270223545}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,816] Trial 329 finished with value: 7.465298730631504 and parameters: {'x': 1.8347352105276098, 'y': 1.746477966487205}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,817] Trial 330 finished with value: 7.702404747451398 and parameters: {'x': 1.66517890218663, 'y': 1.5168359888758993}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,818] Trial 331 finished with value: 7.329359741427874 and parameters: {'x': 1.575636430769551, 'y': 1.351125886959632}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,819] Trial 332 finished with value: 14.078439072449353 and parameters: {'x': 4.501473093762016, 'y': 4.834871016468915}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,819] Trial 333 finished with value: 11.805430242079208 and parameters: {'x': 4.483492736708329, 'y': 1.8663768989833134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,820] Trial 334 finished with value: 10.047661277193004 and parameters: {'x': 3.241396081360119, 'y': 1.5572090773062781}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,821] Trial 335 finished with value: 11.15966514900903 and parameters: {'x': 4.049860509608515, 'y': 4.023864483544081}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,822] Trial 336 finished with value: 10.351940922778217 and parameters: {'x': 3.9720884433516837, 'y': 0.5571758641568014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,823] Trial 337 finished with value: 11.312331656251716 and parameters: {'x': 4.057990718166497, 'y': 3.8977616929827925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,823] Trial 338 finished with value: 12.006578213933567 and parameters: {'x': 4.425400775488195, 'y': 1.612105259116436}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,824] Trial 339 finished with value: 4.546941065900725 and parameters: {'x': 0.5358271586999214, 'y': 0.8062487863403994}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,825] Trial 340 finished with value: 12.265954484314824 and parameters: {'x': 3.3639318073143447, 'y': 3.5707494667728037}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,826] Trial 341 finished with value: 9.686972424965605 and parameters: {'x': 1.1861710149027471, 'y': 4.028586842399676}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,827] Trial 342 finished with value: 13.975807137190671 and parameters: {'x': 4.59148148699102, 'y': 4.923109231094016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,827] Trial 343 finished with value: 12.615031694753085 and parameters: {'x': 4.985235725102164, 'y': 2.5796198033147206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,828] Trial 344 finished with value: 10.144438364863607 and parameters: {'x': 3.5004215430859222, 'y': 0.38279387609597704}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,829] Trial 345 finished with value: 13.285695130939878 and parameters: {'x': 4.5057074837582505, 'y': 4.0679132355585885}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,830] Trial 346 finished with value: 11.478174070108826 and parameters: {'x': 1.7953085662528945, 'y': 4.878518685464871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,830] Trial 347 finished with value: 5.066670251181307 and parameters: {'x': 1.9299304849809777, 'y': 0.0810469599552216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,831] Trial 348 finished with value: 7.725318776920252 and parameters: {'x': 0.09337227681652627, 'y': 2.7206977168107755}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,832] Trial 349 finished with value: 6.533854655052597 and parameters: {'x': 2.2157315861663758, 'y': 0.12850073723539135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,833] Trial 350 finished with value: 7.2859343683842965 and parameters: {'x': 1.8415225727936901, 'y': 2.1016025395545164}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,834] Trial 351 finished with value: 10.684908763016509 and parameters: {'x': 2.0270198062608795, 'y': 4.990388323243462}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,834] Trial 352 finished with value: 6.960187867889932 and parameters: {'x': 0.7833768772095029, 'y': 2.184794533969097}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,835] Trial 353 finished with value: 11.914386023386182 and parameters: {'x': 1.3511632715491224, 'y': 4.844817182998316}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,836] Trial 354 finished with value: 11.293224743723567 and parameters: {'x': 2.949045207579127, 'y': 3.5209321207041686}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,837] Trial 355 finished with value: 11.743346380615318 and parameters: {'x': 3.2496833610633677, 'y': 3.7770354167726987}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,837] Trial 356 finished with value: 11.679458875312944 and parameters: {'x': 4.426571355138362, 'y': 1.2652636739771244}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,838] Trial 357 finished with value: 7.773193283576287 and parameters: {'x': 1.1399690325804452, 'y': 3.013208541388202}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,839] Trial 358 finished with value: 10.168683800840451 and parameters: {'x': 1.1808208021313833, 'y': 3.6549315019705926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,840] Trial 359 finished with value: 9.62287503614435 and parameters: {'x': 3.3199945879638477, 'y': 1.1963746011645409}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,841] Trial 360 finished with value: 6.263740157827893 and parameters: {'x': 0.9295736477647659, 'y': 1.5638785802177801}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,841] Trial 361 finished with value: 8.422765161329606 and parameters: {'x': 1.8316448318363294, 'y': 2.949533951061176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,842] Trial 362 finished with value: 10.768903724134223 and parameters: {'x': 3.796194699561968, 'y': 1.6117538913772222}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,843] Trial 363 finished with value: 10.175476140465943 and parameters: {'x': 2.510110725524435, 'y': 2.9191553264881014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,844] Trial 364 finished with value: 10.554224493626993 and parameters: {'x': 1.3330044128659595, 'y': 3.56923322272833}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,845] Trial 365 finished with value: 10.428277943619925 and parameters: {'x': 2.2863555352433185, 'y': 3.251156861961829}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,845] Trial 366 finished with value: 9.397435687476593 and parameters: {'x': 2.513344192595443, 'y': 2.15696782708575}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,846] Trial 367 finished with value: 9.640255388206626 and parameters: {'x': 3.5888323054397455, 'y': 0.061804212855827156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,847] Trial 368 finished with value: 8.503077368268185 and parameters: {'x': 0.4014718752766372, 'y': 2.881864726744231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,848] Trial 369 finished with value: 10.89528845137693 and parameters: {'x': 4.06810858236602, 'y': 2.807681168241926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,848] Trial 370 finished with value: 7.572310130022002 and parameters: {'x': 3.017958480806348, 'y': 1.1029041260820605}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,849] Trial 371 finished with value: 11.35822683786316 and parameters: {'x': 4.597705213070565, 'y': 1.0275035020467445}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,850] Trial 372 finished with value: 10.334301783289174 and parameters: {'x': 3.441692822984785, 'y': 1.8760491085648985}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,851] Trial 373 finished with value: 9.366825163062781 and parameters: {'x': 1.0576451338911523, 'y': 4.104956711060199}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,852] Trial 374 finished with value: 10.319887087205322 and parameters: {'x': 0.572872190428042, 'y': 3.865253471404385}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,852] Trial 375 finished with value: 12.656247846838099 and parameters: {'x': 2.4153025902913856, 'y': 4.748548781570176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,853] Trial 376 finished with value: 10.336268730046392 and parameters: {'x': 2.7485185814912407, 'y': 2.622131045851649}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,854] Trial 377 finished with value: 12.6936342764527 and parameters: {'x': 4.367924052208163, 'y': 3.23362910079036}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,855] Trial 378 finished with value: 5.688948182824891 and parameters: {'x': 1.6461538485913811, 'y': 0.05224659864543846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,856] Trial 379 finished with value: 10.110830500819509 and parameters: {'x': 0.6854770412019723, 'y': 3.851589561924845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,856] Trial 380 finished with value: 12.273207645707943 and parameters: {'x': 4.165333083527113, 'y': 3.3233982753678104}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,857] Trial 381 finished with value: 12.484656744452234 and parameters: {'x': 2.8777810221359696, 'y': 4.542240526758478}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,858] Trial 382 finished with value: 11.425499761607393 and parameters: {'x': 3.5718757576050404, 'y': 2.4095000943864937}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,859] Trial 383 finished with value: 11.803245457094556 and parameters: {'x': 3.5369494495495686, 'y': 3.1968646099923888}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,859] Trial 384 finished with value: 9.042549452967808 and parameters: {'x': 0.12469722720175491, 'y': 4.015370361224231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,860] Trial 385 finished with value: 10.186575518036205 and parameters: {'x': 3.731743586736484, 'y': 1.9353467643436872}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,861] Trial 386 finished with value: 7.988209696799993 and parameters: {'x': 2.9316049100820516, 'y': 1.1817841776438487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,862] Trial 387 finished with value: 11.299408930796828 and parameters: {'x': 4.943151059515143, 'y': 2.9439116523280573}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,863] Trial 388 finished with value: 10.272115300169695 and parameters: {'x': 0.9953894225731719, 'y': 4.9508387129758065}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,863] Trial 389 finished with value: 11.413230783280214 and parameters: {'x': 4.265506968629001, 'y': 1.7206051686515156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,864] Trial 390 finished with value: 13.098549108408804 and parameters: {'x': 3.2852051919341596, 'y': 4.665301925763098}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,865] Trial 391 finished with value: 9.849913964349092 and parameters: {'x': 2.7953817518114112, 'y': 3.0855253870565784}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,866] Trial 392 finished with value: 12.292270609101232 and parameters: {'x': 2.3449460237387805, 'y': 4.974148831105845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,867] Trial 393 finished with value: 11.315203140090853 and parameters: {'x': 4.667368546076479, 'y': 0.14127706194105194}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,867] Trial 394 finished with value: 8.40520651084406 and parameters: {'x': 2.2419646994476965, 'y': 1.6998795591296951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,868] Trial 395 finished with value: 6.260505038728272 and parameters: {'x': 0.778811726152957, 'y': 1.478223468324038}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,869] Trial 396 finished with value: 11.472437481822912 and parameters: {'x': 3.586250970322703, 'y': 2.4350476434490167}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,870] Trial 397 finished with value: 12.235704085862338 and parameters: {'x': 1.5414894309370952, 'y': 4.599743491318141}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,870] Trial 398 finished with value: 10.519853942161596 and parameters: {'x': 3.478770004972627, 'y': 1.3835972523776308}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,871] Trial 399 finished with value: 11.915337561227599 and parameters: {'x': 3.9657694708972295, 'y': 4.993195560328999}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,872] Trial 400 finished with value: 11.320253002288661 and parameters: {'x': 3.521502151128004, 'y': 2.374145628966899}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,873] Trial 401 finished with value: 11.29090329121093 and parameters: {'x': 3.977316749198101, 'y': 2.6625305621987865}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,874] Trial 402 finished with value: 11.875663331991058 and parameters: {'x': 2.873164558462395, 'y': 4.831149901117671}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,874] Trial 403 finished with value: 12.175443931137195 and parameters: {'x': 4.713437402146087, 'y': 2.946326447389634}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,875] Trial 404 finished with value: 8.300926935758039 and parameters: {'x': 1.147792118520532, 'y': 2.4767743459617138}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,876] Trial 405 finished with value: 8.196354605338419 and parameters: {'x': 2.178274914321877, 'y': 1.6548526008809084}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,877] Trial 406 finished with value: 8.732343943691152 and parameters: {'x': 3.018750335116476, 'y': 0.4734319073153487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,878] Trial 407 finished with value: 11.831532846162496 and parameters: {'x': 0.5787878859449158, 'y': 4.848441660674134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,878] Trial 408 finished with value: 11.467460198669075 and parameters: {'x': 4.7644736377631, 'y': 1.9000070726471474}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,879] Trial 409 finished with value: 13.241272533641627 and parameters: {'x': 4.937879774226172, 'y': 3.5911532254609426}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,880] Trial 410 finished with value: 12.199229033452848 and parameters: {'x': 4.621158542946111, 'y': 1.659022406354706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,881] Trial 411 finished with value: 11.274497517651321 and parameters: {'x': 4.213027646130707, 'y': 3.024612028996253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,882] Trial 412 finished with value: 11.011320355706633 and parameters: {'x': 4.209069911893718, 'y': 0.4391846452987075}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,883] Trial 413 finished with value: 7.835987772707956 and parameters: {'x': 1.7524743073911475, 'y': 2.1459799105722226}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,883] Trial 414 finished with value: 9.801001789392005 and parameters: {'x': 4.0132414178067455, 'y': 1.2103487743058405}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,884] Trial 415 finished with value: 4.897269335440885 and parameters: {'x': 0.016661386459545513, 'y': 1.9432817255369261}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,885] Trial 416 finished with value: 11.680835279899052 and parameters: {'x': 4.607965659748283, 'y': 0.763119379038707}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,886] Trial 417 finished with value: 13.246856664211204 and parameters: {'x': 3.749972298117215, 'y': 4.7374180952583425}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,887] Trial 418 finished with value: 5.387323888817008 and parameters: {'x': 1.253885077828284, 'y': 0.787196297398004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,887] Trial 419 finished with value: 7.624139513333427 and parameters: {'x': 1.7152766785823403, 'y': 1.461602709177967}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,888] Trial 420 finished with value: 8.601597924364475 and parameters: {'x': 1.3520658837907396, 'y': 2.372438113797351}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,889] Trial 421 finished with value: 7.379291585291298 and parameters: {'x': 2.7930189821136464, 'y': 0.031737380005553706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,890] Trial 422 finished with value: 10.891688058409025 and parameters: {'x': 4.217288485526173, 'y': 0.6801696396168871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,890] Trial 423 finished with value: 10.299411814439988 and parameters: {'x': 3.8122101873765697, 'y': 0.41218452352049795}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,891] Trial 424 finished with value: 10.208464294714064 and parameters: {'x': 3.81880576682492, 'y': 1.8169659683865675}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,892] Trial 425 finished with value: 10.028817047410373 and parameters: {'x': 1.2087293105524348, 'y': 3.793127415195745}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,893] Trial 426 finished with value: 7.261182866121507 and parameters: {'x': 0.2790957476830819, 'y': 2.2438680755679603}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,894] Trial 427 finished with value: 14.24707476875786 and parameters: {'x': 4.504128191663766, 'y': 4.536426179394706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,894] Trial 428 finished with value: 11.53130854114426 and parameters: {'x': 2.34440646591819, 'y': 4.155224828254459}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,895] Trial 429 finished with value: 10.035148728001966 and parameters: {'x': 3.339457159272726, 'y': 1.3085702530437353}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,896] Trial 430 finished with value: 12.00190998770292 and parameters: {'x': 1.7877920284854298, 'y': 4.638094994544125}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,897] Trial 431 finished with value: 14.01538390195471 and parameters: {'x': 4.410506190386242, 'y': 4.788139963768522}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,898] Trial 432 finished with value: 4.666091133704892 and parameters: {'x': 1.1059764324677757, 'y': 0.7542856870743286}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,898] Trial 433 finished with value: 8.142015730690124 and parameters: {'x': 0.6161159090355595, 'y': 2.3898397730907184}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,899] Trial 434 finished with value: 11.879730726613051 and parameters: {'x': 1.2871110125996195, 'y': 4.732209161219746}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,900] Trial 435 finished with value: 11.50770167045246 and parameters: {'x': 2.4547123105592443, 'y': 3.6044560976192708}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,901] Trial 436 finished with value: 11.39469182989561 and parameters: {'x': 4.981161330369753, 'y': 2.1766888161941926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,902] Trial 437 finished with value: 0.7804106054859936 and parameters: {'x': 0.10732164140456302, 'y': 0.07550790294400644}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,902] Trial 438 finished with value: 10.429537583216518 and parameters: {'x': 2.3584819107069817, 'y': 3.190198197830021}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,903] Trial 439 finished with value: 4.96540431517192 and parameters: {'x': 0.5277377187120708, 'y': 1.0982878491684678}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,904] Trial 440 finished with value: 12.51959837127892 and parameters: {'x': 3.6746873579644275, 'y': 3.5656393265313238}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,905] Trial 441 finished with value: 13.310419785020215 and parameters: {'x': 4.801937205804211, 'y': 3.656659960854932}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,905] Trial 442 finished with value: 11.149675940912598 and parameters: {'x': 4.200232100305174, 'y': 2.9712838594594713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,906] Trial 443 finished with value: 12.343066204190144 and parameters: {'x': 3.4099618227374546, 'y': 3.554075909742147}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,907] Trial 444 finished with value: 5.6759505823925345 and parameters: {'x': 0.8780434126462405, 'y': 1.9094461322518268}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,908] Trial 445 finished with value: 6.607630149326052 and parameters: {'x': 1.9938793894736069, 'y': 1.935711389319521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,909] Trial 446 finished with value: 6.00431305323762 and parameters: {'x': 0.9366003382596688, 'y': 2.1169233194543096}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,909] Trial 447 finished with value: 13.027263446057466 and parameters: {'x': 3.689892011332293, 'y': 4.950600642632251}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,910] Trial 448 finished with value: 11.06575203582668 and parameters: {'x': 0.3441815521175967, 'y': 4.262229256565206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,911] Trial 449 finished with value: 11.233300822016634 and parameters: {'x': 3.9237478347273207, 'y': 2.3966823952125753}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,912] Trial 450 finished with value: 8.935380249107924 and parameters: {'x': 1.4876991240229658, 'y': 2.4164676051324174}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,913] Trial 451 finished with value: 11.741073301615504 and parameters: {'x': 1.9644552766060486, 'y': 4.498472398791405}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,913] Trial 452 finished with value: 6.082732869229478 and parameters: {'x': 1.400062597877147, 'y': 0.47308219360903625}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,914] Trial 453 finished with value: 8.122986607956738 and parameters: {'x': 2.5225478308799607, 'y': 0.8888340113786181}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,915] Trial 454 finished with value: 10.02573892634024 and parameters: {'x': 1.1571208454981974, 'y': 3.4887523537576577}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,916] Trial 455 finished with value: 14.122725695817879 and parameters: {'x': 4.425953927746668, 'y': 4.4820875653525025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,917] Trial 456 finished with value: 11.12488185820932 and parameters: {'x': 4.034092789320193, 'y': 3.9351871317284477}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,917] Trial 457 finished with value: 10.822916013291252 and parameters: {'x': 4.057685738995707, 'y': 1.6228102359843521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,918] Trial 458 finished with value: 7.799678963438955 and parameters: {'x': 3.104179792814024, 'y': 0.9079559307976542}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,919] Trial 459 finished with value: 13.558071660350077 and parameters: {'x': 4.263230292643333, 'y': 4.789186109978953}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,920] Trial 460 finished with value: 5.379273068061256 and parameters: {'x': 1.2629667463169851, 'y': 0.3471682486006089}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,921] Trial 461 finished with value: 13.503353859353549 and parameters: {'x': 3.6472602799256286, 'y': 4.585275919341306}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,921] Trial 462 finished with value: 9.95189832119296 and parameters: {'x': 4.217291323814577, 'y': 0.06534306686574565}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,922] Trial 463 finished with value: 7.316189589089076 and parameters: {'x': 2.1544055069289936, 'y': 1.977017966150556}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,923] Trial 464 finished with value: 6.837266790743383 and parameters: {'x': 2.107062124054001, 'y': 0.7011774809488025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,924] Trial 465 finished with value: 12.326391259520475 and parameters: {'x': 3.8061924650999472, 'y': 3.4622914922425165}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,925] Trial 466 finished with value: 12.438153329094177 and parameters: {'x': 3.059137452812551, 'y': 4.644550575118717}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,925] Trial 467 finished with value: 10.795756609067213 and parameters: {'x': 3.5770919128123864, 'y': 1.6153670832663791}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,926] Trial 468 finished with value: 12.976661440518908 and parameters: {'x': 4.080223600535277, 'y': 4.7351518146604885}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,927] Trial 469 finished with value: 8.31533623510785 and parameters: {'x': 0.8067232894823856, 'y': 2.6448926126752745}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,928] Trial 470 finished with value: 10.129849179817505 and parameters: {'x': 3.8967028438943183, 'y': 1.7891317967768172}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,929] Trial 471 finished with value: 10.495601334816916 and parameters: {'x': 1.843470804737017, 'y': 3.5058645128464376}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,929] Trial 472 finished with value: 10.088792482724358 and parameters: {'x': 2.7654320858351027, 'y': 3.113727970345309}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,930] Trial 473 finished with value: 8.489489614352319 and parameters: {'x': 1.0263837170960788, 'y': 3.215932794062375}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,931] Trial 474 finished with value: 10.997502590623936 and parameters: {'x': 2.4805922066317883, 'y': 3.284689230485689}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,932] Trial 475 finished with value: 6.291712557698734 and parameters: {'x': 1.4650440056970793, 'y': 0.7063166537840632}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,933] Trial 476 finished with value: 10.93523004668661 and parameters: {'x': 4.183730895251133, 'y': 0.5658401958833559}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,933] Trial 477 finished with value: 7.850438094434846 and parameters: {'x': 0.5599168274764549, 'y': 2.2945630290077066}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,934] Trial 478 finished with value: 11.627074996182836 and parameters: {'x': 2.074821999819689, 'y': 4.727132686901395}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,935] Trial 479 finished with value: 7.797052693640023 and parameters: {'x': 2.060681641475947, 'y': 1.629046569019739}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,936] Trial 480 finished with value: 7.032253172863296 and parameters: {'x': 1.6073255276032867, 'y': 1.246078044226684}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,937] Trial 481 finished with value: 9.717309651594512 and parameters: {'x': 3.694629393054078, 'y': 0.1452253478402482}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,937] Trial 482 finished with value: 9.28452105239339 and parameters: {'x': 3.2417304714517914, 'y': 0.32514601807110965}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,938] Trial 483 finished with value: 5.315871409227775 and parameters: {'x': 1.200964624897748, 'y': 0.4522330920560269}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,939] Trial 484 finished with value: 9.440968128035568 and parameters: {'x': 3.8048243910578416, 'y': 1.0766348745679348}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,940] Trial 485 finished with value: 11.128758047393772 and parameters: {'x': 3.4025495977679103, 'y': 2.3743371466036587}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,940] Trial 486 finished with value: 11.606968638275713 and parameters: {'x': 4.654079612466723, 'y': 0.7898450946089941}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,941] Trial 487 finished with value: 8.164509127866584 and parameters: {'x': 2.4061686085964666, 'y': 0.45546552540126295}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,942] Trial 488 finished with value: 4.215593111143367 and parameters: {'x': 0.8822884373740586, 'y': 0.3681398348093584}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,943] Trial 489 finished with value: 10.402055248667342 and parameters: {'x': 1.7199664697902828, 'y': 3.3849639252179493}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,944] Trial 490 finished with value: 7.395006822537743 and parameters: {'x': 1.3881946345175273, 'y': 1.5523358451185554}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,944] Trial 491 finished with value: 6.0595150997035425 and parameters: {'x': 0.2723050025800139, 'y': 1.5129130477433206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,945] Trial 492 finished with value: 11.838682067772567 and parameters: {'x': 4.276207744351974, 'y': 2.83923223769671}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,946] Trial 493 finished with value: 13.278499721884376 and parameters: {'x': 4.85037561346188, 'y': 3.4596523068267637}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,947] Trial 494 finished with value: 4.549486920521389 and parameters: {'x': 0.6634885345608066, 'y': 0.8018360929305579}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,948] Trial 495 finished with value: 5.690223476399435 and parameters: {'x': 1.9547778130093625, 'y': 0.864218941932488}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,949] Trial 496 finished with value: 3.8395917237234833 and parameters: {'x': 0.13501540166023784, 'y': 1.1454565746303713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,949] Trial 497 finished with value: 9.06181195713635 and parameters: {'x': 2.0097930888484257, 'y': 2.5779436380218317}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,950] Trial 498 finished with value: 4.141706705777526 and parameters: {'x': 1.050766261540541, 'y': 0.8255628900432621}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,951] Trial 499 finished with value: 10.11695865881527 and parameters: {'x': 3.4497399262396455, 'y': 0.47594639104199365}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,951] A new study created in memory with name: x=[0,4), y=[0,4)\n[I 2023-11-01 05:12:37,952] Trial 0 finished with value: 9.859778541798656 and parameters: {'x': 1.3933196794073037, 'y': 3.2358514401958347}. Best is trial 0 with value: 9.859778541798656.\n[I 2023-11-01 05:12:37,953] Trial 1 finished with value: 9.039593212528152 and parameters: {'x': 1.838548751301699, 'y': 2.504497219276703}. Best is trial 1 with value: 9.039593212528152.\n[I 2023-11-01 05:12:37,954] Trial 2 finished with value: 4.244161659801236 and parameters: {'x': 0.8145873234061498, 'y': 0.37470161910149224}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,954] Trial 3 finished with value: 10.707175702169542 and parameters: {'x': 3.902103869064555, 'y': 1.4693753133410787}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,955] Trial 4 finished with value: 7.299292877283396 and parameters: {'x': 2.305135871772639, 'y': 0.9837282718184688}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,956] Trial 5 finished with value: 10.680969952713568 and parameters: {'x': 3.96983477897882, 'y': 2.265084513109098}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,956] Trial 6 finished with value: 10.534469944310851 and parameters: {'x': 2.0671457821091552, 'y': 3.5257358718900864}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,957] Trial 7 finished with value: 6.984222753302996 and parameters: {'x': 0.04765358251977991, 'y': 2.92097283880608}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,958] Trial 8 finished with value: 8.822231479320317 and parameters: {'x': 1.2751187315175243, 'y': 2.600010316693418}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,959] Trial 9 finished with value: 10.098013003294861 and parameters: {'x': 3.30128843589085, 'y': 1.7369520482245924}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,959] Trial 10 finished with value: 6.590857000246849 and parameters: {'x': 0.6273547556415009, 'y': 1.9094396171974033}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,960] Trial 11 finished with value: 5.529780090813791 and parameters: {'x': 1.3200314988592186, 'y': 0.9621656302946389}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,961] Trial 12 finished with value: 7.964652132745382 and parameters: {'x': 2.431829240381084, 'y': 0.8558984720330014}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,962] Trial 13 finished with value: 7.2060689475395385 and parameters: {'x': 1.9347330117135004, 'y': 1.7763143086502295}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,962] Trial 14 finished with value: 7.38790703558322 and parameters: {'x': 1.4591918094157488, 'y': 1.4523362557690818}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,963] Trial 15 finished with value: 6.166968985628692 and parameters: {'x': 0.8561980303273447, 'y': 1.472478142941779}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,964] Trial 16 finished with value: 8.558532033087145 and parameters: {'x': 0.6168391828672339, 'y': 2.836747068751847}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,965] Trial 17 finished with value: 9.338342614865656 and parameters: {'x': 3.298276896472674, 'y': 1.1440750956569046}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,965] Trial 18 finished with value: 11.10649259399895 and parameters: {'x': 2.8214730316745245, 'y': 3.7744207192919066}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,966] Trial 19 finished with value: 6.7236981165918905 and parameters: {'x': 0.5425632260332911, 'y': 1.9664808329550993}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,967] Trial 20 finished with value: 9.197320562025435 and parameters: {'x': 2.6301945639685935, 'y': 2.0897056077133547}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,968] Trial 21 finished with value: 6.564082939358261 and parameters: {'x': 0.5216182433451544, 'y': 1.6125483245888965}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,968] Trial 22 finished with value: 7.760458384259243 and parameters: {'x': 1.649580915829942, 'y': 1.7232746235781753}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,969] Trial 23 finished with value: 4.692281434608283 and parameters: {'x': 0.4763457596546661, 'y': 1.0318764322136516}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,970] Trial 24 finished with value: 10.457106146198148 and parameters: {'x': 1.884117526823101, 'y': 3.515186937291592}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,971] Trial 25 finished with value: 10.28898955389791 and parameters: {'x': 3.1158246006173047, 'y': 3.1838538522785744}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,971] Trial 26 finished with value: 9.331292201439751 and parameters: {'x': 0.017672354936568713, 'y': 3.4211695299212206}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,972] Trial 27 finished with value: 10.060005028037963 and parameters: {'x': 0.786957066684185, 'y': 3.6852471668044555}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,973] Trial 28 finished with value: 3.964292399208695 and parameters: {'x': 0.46295550697412713, 'y': 0.39938900035022407}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,974] Trial 29 finished with value: 10.269990858462307 and parameters: {'x': 1.65981265679325, 'y': 3.320513303194814}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,974] Trial 30 finished with value: 11.268039501438045 and parameters: {'x': 2.633330398842245, 'y': 3.362248171171207}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,975] Trial 31 finished with value: 5.396934020251162 and parameters: {'x': 1.1949167255641462, 'y': 1.1654157413744377}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,976] Trial 32 finished with value: 9.829000907142534 and parameters: {'x': 0.8784560741266598, 'y': 3.4924433376133783}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,976] Trial 33 finished with value: 10.369946123204146 and parameters: {'x': 3.9701276532663954, 'y': 0.4997243304279091}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,977] Trial 34 finished with value: 7.682115993810168 and parameters: {'x': 2.0668884599462567, 'y': 1.4241440362775037}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,978] Trial 35 finished with value: 11.752399043322077 and parameters: {'x': 3.1788488466327007, 'y': 3.5497268271566926}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,979] Trial 36 finished with value: 12.226827133986625 and parameters: {'x': 3.4516564162177263, 'y': 3.4014755174992803}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,979] Trial 37 finished with value: 9.001126604354294 and parameters: {'x': 1.7287436729282057, 'y': 3.039231370839761}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,980] Trial 38 finished with value: 3.7033385075458476 and parameters: {'x': 0.2408286872302634, 'y': 0.9882472155647375}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,981] Trial 39 finished with value: 7.816144951505883 and parameters: {'x': 2.38247805165682, 'y': 1.0733449299813174}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,982] Trial 40 finished with value: 11.480525241689845 and parameters: {'x': 3.75901341027312, 'y': 2.453615193920154}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,982] Trial 41 finished with value: 12.202111886720926 and parameters: {'x': 3.7450474278361403, 'y': 3.7846922598231063}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,983] Trial 42 finished with value: 11.405793594949529 and parameters: {'x': 2.403226350502876, 'y': 3.745084760723254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,984] Trial 43 finished with value: 5.750984516139752 and parameters: {'x': 1.781549861697862, 'y': 0.16127595645851578}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,985] Trial 44 finished with value: 5.54345653122553 and parameters: {'x': 0.2172688339262261, 'y': 1.3822698988079365}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,985] Trial 45 finished with value: 10.060905765872992 and parameters: {'x': 0.7979283545488918, 'y': 3.5741214978277833}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,986] Trial 46 finished with value: 6.959205036747614 and parameters: {'x': 0.5164581753461488, 'y': 2.0663302791013227}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,987] Trial 47 finished with value: 11.03616182271487 and parameters: {'x': 3.9480950365448084, 'y': 3.96645174529096}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,988] Trial 48 finished with value: 6.614950609692865 and parameters: {'x': 0.6310986798933471, 'y': 1.6589654222068524}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,988] Trial 49 finished with value: 9.175626846648905 and parameters: {'x': 2.745981291764348, 'y': 1.4264809557268383}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,989] Trial 50 finished with value: 8.515399997037537 and parameters: {'x': 2.6274468517453085, 'y': 0.6861219767706412}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,990] Trial 51 finished with value: 5.435487475041612 and parameters: {'x': 1.9397491625683356, 'y': 1.0202429416259573}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,991] Trial 52 finished with value: 9.745806897619802 and parameters: {'x': 3.430168293505469, 'y': 0.2317638687174539}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,991] Trial 53 finished with value: 9.752071545230551 and parameters: {'x': 2.7855338170640893, 'y': 3.043792727489718}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,992] Trial 54 finished with value: 4.4704695077871826 and parameters: {'x': 0.5271026419422009, 'y': 0.6223072245090484}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,993] Trial 55 finished with value: 12.03918283506897 and parameters: {'x': 3.2704636918929406, 'y': 3.5829796005976884}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,994] Trial 56 finished with value: 10.18696347807152 and parameters: {'x': 3.9278091591189184, 'y': 2.9741530786699166}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,994] Trial 57 finished with value: 7.556126379464672 and parameters: {'x': 3.0881791182582132, 'y': 0.9834557500733685}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,995] Trial 58 finished with value: 9.185903992885615 and parameters: {'x': 3.3688244164395478, 'y': 0.07370278788612072}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,996] Trial 59 finished with value: 6.280576366644379 and parameters: {'x': 0.5731961180739842, 'y': 1.450687583583008}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,997] Trial 60 finished with value: 7.742064083775642 and parameters: {'x': 1.5656204313309159, 'y': 1.7387483442563485}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,997] Trial 61 finished with value: 11.132968842390083 and parameters: {'x': 3.39312495501294, 'y': 2.843245434223765}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,998] Trial 62 finished with value: 8.567754039160308 and parameters: {'x': 1.8015413117258299, 'y': 2.944191104585469}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,999] Trial 63 finished with value: 4.832743885161232 and parameters: {'x': 0.4465773656006653, 'y': 1.0891525830804647}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,000] Trial 64 finished with value: 11.104507548957141 and parameters: {'x': 2.8701212402413727, 'y': 3.733795236099265}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,000] Trial 65 finished with value: 7.40615921330866 and parameters: {'x': 2.3241082704852536, 'y': 0.9776882221678127}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,001] Trial 66 finished with value: 11.505979204998482 and parameters: {'x': 2.737406586939625, 'y': 3.6572814342341977}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,002] Trial 67 finished with value: 6.534579593040267 and parameters: {'x': 1.2195404608268183, 'y': 1.9017797211719087}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,003] Trial 68 finished with value: 9.930908552455072 and parameters: {'x': 0.5560221319737524, 'y': 3.3681618420035133}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,003] Trial 69 finished with value: 6.901786099055903 and parameters: {'x': 2.272307748983125, 'y': 0.12754687071613713}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,004] Trial 70 finished with value: 9.998882920157838 and parameters: {'x': 0.7698589318554725, 'y': 3.7592329794195254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,005] Trial 71 finished with value: 7.919037470960159 and parameters: {'x': 2.600456136224802, 'y': 0.12119274231295663}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,006] Trial 72 finished with value: 9.62924260549343 and parameters: {'x': 3.5723994726880854, 'y': 0.054357180230217406}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,006] Trial 73 finished with value: 0.2151968790881824 and parameters: {'x': 0.04884273066499656, 'y': 0.016513827190637542}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,007] Trial 74 finished with value: 5.876716919840415 and parameters: {'x': 0.1695058988291449, 'y': 1.5451156431523292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,008] Trial 75 finished with value: 6.50152632645646 and parameters: {'x': 1.253513702284081, 'y': 1.3314201920039643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,009] Trial 76 finished with value: 10.073728693626201 and parameters: {'x': 1.790940909549009, 'y': 3.9306183079192376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,010] Trial 77 finished with value: 11.592961833859302 and parameters: {'x': 3.3382684898030006, 'y': 3.247600734696528}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,011] Trial 78 finished with value: 8.524339728788682 and parameters: {'x': 2.7939800283677414, 'y': 1.9465730742746103}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,012] Trial 79 finished with value: 6.810148362488738 and parameters: {'x': 2.250517079552346, 'y': 0.1412007733389138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,012] Trial 80 finished with value: 4.578449067293313 and parameters: {'x': 0.9513282606596039, 'y': 0.5176395568530854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,013] Trial 81 finished with value: 8.03611178521659 and parameters: {'x': 2.7495574802101426, 'y': 0.8605322444674512}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,014] Trial 82 finished with value: 9.0484191526951 and parameters: {'x': 3.302135926381046, 'y': 0.9473176516728192}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,015] Trial 83 finished with value: 12.120266358270943 and parameters: {'x': 3.6739792951218915, 'y': 3.934808570119411}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,015] Trial 84 finished with value: 10.402439856923305 and parameters: {'x': 1.9698964088020623, 'y': 3.506429165248168}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,016] Trial 85 finished with value: 4.160126567431099 and parameters: {'x': 0.7989548719069344, 'y': 0.3462904341027335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,017] Trial 86 finished with value: 8.553032648925823 and parameters: {'x': 2.9162754648283156, 'y': 0.42806181200585414}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,018] Trial 87 finished with value: 10.608490346655685 and parameters: {'x': 3.2532379182350595, 'y': 3.0910275017250406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,018] Trial 88 finished with value: 3.7015802211423185 and parameters: {'x': 0.2322645623258115, 'y': 0.5625554562742372}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,019] Trial 89 finished with value: 9.191385997850857 and parameters: {'x': 2.547976011875257, 'y': 1.516626324984331}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,020] Trial 90 finished with value: 6.442237775568518 and parameters: {'x': 1.1361400624445248, 'y': 1.4499627343902555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,021] Trial 91 finished with value: 10.0445479409038 and parameters: {'x': 1.1371007311701828, 'y': 3.5410274711784107}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,021] Trial 92 finished with value: 10.977920512951362 and parameters: {'x': 3.757065188327247, 'y': 2.8931772973556926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,022] Trial 93 finished with value: 8.235795283382567 and parameters: {'x': 2.082113472254048, 'y': 2.9454209884361773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,023] Trial 94 finished with value: 9.93034334231159 and parameters: {'x': 3.464529351420215, 'y': 0.28253052622114705}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,024] Trial 95 finished with value: 4.12794561810944 and parameters: {'x': 0.4961925387838706, 'y': 0.44012286036116954}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,024] Trial 96 finished with value: 9.770704684742935 and parameters: {'x': 0.9230872571633748, 'y': 3.490669945563004}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,025] Trial 97 finished with value: 8.019703025801185 and parameters: {'x': 3.1355638961169685, 'y': 1.0714067782110388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,026] Trial 98 finished with value: 10.506967336266714 and parameters: {'x': 3.0207104304758863, 'y': 3.849499571070234}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,027] Trial 99 finished with value: 9.769323851016116 and parameters: {'x': 2.924175184757402, 'y': 2.3448622903364957}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,027] Trial 100 finished with value: 8.640166243405007 and parameters: {'x': 2.7226932337739216, 'y': 0.4994786053724156}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,028] Trial 101 finished with value: 10.089444683751838 and parameters: {'x': 3.871491069827993, 'y': 0.33848581827426116}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,029] Trial 102 finished with value: 8.186227648748062 and parameters: {'x': 1.2200983012467015, 'y': 2.360577004611718}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,030] Trial 103 finished with value: 8.06051983142751 and parameters: {'x': 2.4520107245963514, 'y': 0.8297937319854545}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,030] Trial 104 finished with value: 8.386680858343565 and parameters: {'x': 0.3249375577272491, 'y': 2.6079869824945696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,031] Trial 105 finished with value: 7.348582073690469 and parameters: {'x': 1.067582975461931, 'y': 2.9485118438811426}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,032] Trial 106 finished with value: 6.205295019163518 and parameters: {'x': 2.06997945847861, 'y': 0.8137554383860333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,033] Trial 107 finished with value: 10.986137556963685 and parameters: {'x': 3.5765675535466497, 'y': 2.2201968827903356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,033] Trial 108 finished with value: 11.476111653910753 and parameters: {'x': 3.6031268809452617, 'y': 2.4312641887005704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,034] Trial 109 finished with value: 7.3944165656711185 and parameters: {'x': 2.8733924329055345, 'y': 1.0206703053627808}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,035] Trial 110 finished with value: 8.139625158792638 and parameters: {'x': 2.820147250520451, 'y': 1.1666515616728446}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,036] Trial 111 finished with value: 4.933785005094766 and parameters: {'x': 1.9178777080752796, 'y': 0.021013293830758784}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,036] Trial 112 finished with value: 5.624930891218909 and parameters: {'x': 1.4332515629066673, 'y': 0.17797717789785095}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,037] Trial 113 finished with value: 6.094411408044536 and parameters: {'x': 0.8831892500246643, 'y': 1.7561596489534015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,038] Trial 114 finished with value: 10.350248108508522 and parameters: {'x': 0.5621434508607988, 'y': 3.8269720325807453}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,039] Trial 115 finished with value: 4.446371638664033 and parameters: {'x': 1.0795604822820097, 'y': 0.7805852288782855}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,039] Trial 116 finished with value: 11.379784239135127 and parameters: {'x': 3.635131315146991, 'y': 2.829311753826587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,040] Trial 117 finished with value: 9.874730007709653 and parameters: {'x': 3.4682953737404696, 'y': 0.8220673834864538}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,041] Trial 118 finished with value: 9.807764019725601 and parameters: {'x': 0.9494737467704817, 'y': 3.530087053993743}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,042] Trial 119 finished with value: 11.410294712002278 and parameters: {'x': 3.9871173808297056, 'y': 3.842963180939406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,042] Trial 120 finished with value: 7.719275347795678 and parameters: {'x': 2.0065123631697337, 'y': 1.5455205599702864}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,043] Trial 121 finished with value: 9.277457289195318 and parameters: {'x': 1.6182801213473015, 'y': 3.027341246168199}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,044] Trial 122 finished with value: 7.763855358987204 and parameters: {'x': 0.9363421887709489, 'y': 3.111505973359827}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,045] Trial 123 finished with value: 9.110185341215733 and parameters: {'x': 2.5624184237197096, 'y': 1.8247744584254226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,045] Trial 124 finished with value: 6.528727778503942 and parameters: {'x': 0.40511538340101305, 'y': 1.8765124216775555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,046] Trial 125 finished with value: 12.364248094899766 and parameters: {'x': 3.7277047674793513, 'y': 3.7247168959501478}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,047] Trial 126 finished with value: 11.011311935244251 and parameters: {'x': 2.3685755137917592, 'y': 3.3575240438917673}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,048] Trial 127 finished with value: 7.258172960937385 and parameters: {'x': 1.2317497913178186, 'y': 2.159008680800039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,048] Trial 128 finished with value: 7.430708868599407 and parameters: {'x': 2.3883691403099236, 'y': 0.09910389553271326}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,049] Trial 129 finished with value: 4.377886023640851 and parameters: {'x': 0.7326561110324659, 'y': 0.4290136452924571}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,050] Trial 130 finished with value: 9.679292695512402 and parameters: {'x': 3.7296188437089395, 'y': 0.15512078425954456}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,051] Trial 131 finished with value: 8.925525251448645 and parameters: {'x': 3.9106045264751623, 'y': 0.9588186728514732}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,051] Trial 132 finished with value: 6.6398318289712215 and parameters: {'x': 0.48236236064767146, 'y': 1.7600763848392056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,052] Trial 133 finished with value: 9.293731400441033 and parameters: {'x': 3.128480998346366, 'y': 1.7400833037468666}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,053] Trial 134 finished with value: 9.874323707396623 and parameters: {'x': 3.484209234756394, 'y': 1.0985066631040374}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,054] Trial 135 finished with value: 8.631833679924338 and parameters: {'x': 1.8948794514066605, 'y': 3.117613250216388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,055] Trial 136 finished with value: 10.275675796090006 and parameters: {'x': 3.3991273948311873, 'y': 1.8340578173776851}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,055] Trial 137 finished with value: 10.359721880073934 and parameters: {'x': 2.6267802049016957, 'y': 3.085700377707863}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,056] Trial 138 finished with value: 8.210833865250711 and parameters: {'x': 2.516363850598352, 'y': 0.8196266205695761}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,057] Trial 139 finished with value: 12.022924135876615 and parameters: {'x': 3.389095679740186, 'y': 3.3529398437885245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,058] Trial 140 finished with value: 9.304331326398993 and parameters: {'x': 1.642346402818133, 'y': 2.651197454795302}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,058] Trial 141 finished with value: 8.686674607755023 and parameters: {'x': 1.7089786565719036, 'y': 2.316092187475462}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,059] Trial 142 finished with value: 6.997240891390188 and parameters: {'x': 2.0776459027142766, 'y': 0.5371464989205403}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,060] Trial 143 finished with value: 9.576903304434243 and parameters: {'x': 3.7642216964945523, 'y': 0.9019122546912715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,061] Trial 144 finished with value: 9.803241032909828 and parameters: {'x': 3.5326499741645327, 'y': 0.9714572510032968}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,061] Trial 145 finished with value: 7.8071162529029365 and parameters: {'x': 0.9530674923667211, 'y': 2.7634909126453584}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,062] Trial 146 finished with value: 10.075231814652724 and parameters: {'x': 3.48441276263407, 'y': 0.7180431183628277}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,063] Trial 147 finished with value: 6.375922180024251 and parameters: {'x': 1.8046886318843813, 'y': 0.7459821381585212}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,064] Trial 148 finished with value: 9.413608486585655 and parameters: {'x': 3.933916726426555, 'y': 1.9585479049450258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,064] Trial 149 finished with value: 10.28412430704962 and parameters: {'x': 3.3148229892276877, 'y': 1.535581323171066}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,065] Trial 150 finished with value: 4.350627454821726 and parameters: {'x': 0.21250281775814894, 'y': 1.1646549470884318}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,066] Trial 151 finished with value: 9.291214543796979 and parameters: {'x': 3.767119014514924, 'y': 0.05554223443280559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,067] Trial 152 finished with value: 11.262615388974723 and parameters: {'x': 2.6782951778417865, 'y': 3.9068321042955114}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,067] Trial 153 finished with value: 7.037404672005643 and parameters: {'x': 1.5623448927156396, 'y': 1.2560764485773763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,068] Trial 154 finished with value: 6.290638213631119 and parameters: {'x': 0.9897733601874057, 'y': 1.578485331567916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,069] Trial 155 finished with value: 5.736349520417626 and parameters: {'x': 0.625380744133333, 'y': 1.2821182192654983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,070] Trial 156 finished with value: 6.766715854131045 and parameters: {'x': 2.027214829584737, 'y': 1.8991490484783213}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,070] Trial 157 finished with value: 10.87770316730678 and parameters: {'x': 2.4079485621216716, 'y': 3.282445457145102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,071] Trial 158 finished with value: 10.035889093507278 and parameters: {'x': 1.2347496820084465, 'y': 3.842653042199124}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,072] Trial 159 finished with value: 10.304801724231645 and parameters: {'x': 0.6662920601396958, 'y': 3.6561413772209934}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,073] Trial 160 finished with value: 7.637435938861136 and parameters: {'x': 1.9853065750934986, 'y': 1.4879383070697996}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,073] Trial 161 finished with value: 6.8235965706121124 and parameters: {'x': 1.4821404923034507, 'y': 1.2254013635508776}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,074] Trial 162 finished with value: 5.601998291743918 and parameters: {'x': 1.6890528206784348, 'y': 0.011438891268208184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,075] Trial 163 finished with value: 2.849084346027542 and parameters: {'x': 0.06295370518636378, 'y': 1.031830480408582}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,076] Trial 164 finished with value: 6.399098494880953 and parameters: {'x': 2.0751471528509584, 'y': 0.7772473107038773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,077] Trial 165 finished with value: 8.392320801794583 and parameters: {'x': 1.9414122925975796, 'y': 2.320254719400466}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,077] Trial 166 finished with value: 10.243672123912138 and parameters: {'x': 2.374158598267379, 'y': 3.127409484267983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,078] Trial 167 finished with value: 10.239794754974406 and parameters: {'x': 2.4530394334748618, 'y': 2.597858884115015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,079] Trial 168 finished with value: 8.664885822736856 and parameters: {'x': 2.3260047004211732, 'y': 1.4595369973445482}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,080] Trial 169 finished with value: 8.313484934031424 and parameters: {'x': 0.7976136598357257, 'y': 2.5722926319517176}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,080] Trial 170 finished with value: 7.439426909141176 and parameters: {'x': 0.892794726117486, 'y': 2.3176771815226087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,081] Trial 171 finished with value: 10.764393870053514 and parameters: {'x': 3.3966726052998424, 'y': 2.236227111224998}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,082] Trial 172 finished with value: 7.672732461844447 and parameters: {'x': 0.6565399271869343, 'y': 2.266383207388518}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,083] Trial 173 finished with value: 9.912718580952895 and parameters: {'x': 3.4427460583166134, 'y': 0.767008084023082}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,084] Trial 174 finished with value: 7.492130034499652 and parameters: {'x': 2.431786498107929, 'y': 0.0012019289323461635}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,084] Trial 175 finished with value: 11.432963250400805 and parameters: {'x': 2.398579419032148, 'y': 3.626689061898129}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,085] Trial 176 finished with value: 4.679324472600673 and parameters: {'x': 0.5046659693982054, 'y': 1.0136426491222448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,086] Trial 177 finished with value: 10.014653304662277 and parameters: {'x': 3.6656304163043663, 'y': 0.8136327917263362}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,087] Trial 178 finished with value: 9.42189561442088 and parameters: {'x': 2.9282945598665706, 'y': 2.2735780055911254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,087] Trial 179 finished with value: 8.238792467050876 and parameters: {'x': 0.9229106738167738, 'y': 3.1755356848963574}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,088] Trial 180 finished with value: 10.022809360818055 and parameters: {'x': 1.8937739918677239, 'y': 3.353392061020511}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,089] Trial 181 finished with value: 8.665501391018337 and parameters: {'x': 1.9430207704425881, 'y': 3.1412220082989495}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,090] Trial 182 finished with value: 10.499929595705158 and parameters: {'x': 1.6045313764477873, 'y': 3.3928183933266634}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,090] Trial 183 finished with value: 9.054465657737579 and parameters: {'x': 3.177504629624753, 'y': 1.881574039728204}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,091] Trial 184 finished with value: 3.241811376658486 and parameters: {'x': 0.5532265700325287, 'y': 0.061759306737271036}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,092] Trial 185 finished with value: 7.4816312909029214 and parameters: {'x': 2.24354351082847, 'y': 0.7086458008507504}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,093] Trial 186 finished with value: 8.508435442027885 and parameters: {'x': 2.8176162725062777, 'y': 0.3911023288613231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,093] Trial 187 finished with value: 4.003956371062326 and parameters: {'x': 0.857305088806247, 'y': 0.31075294610825965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,094] Trial 188 finished with value: 9.062669397549 and parameters: {'x': 2.5195873392164465, 'y': 2.027339028317335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,095] Trial 189 finished with value: 12.30418779730045 and parameters: {'x': 3.5218480070541975, 'y': 3.885144033046055}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,096] Trial 190 finished with value: 8.009208681763505 and parameters: {'x': 0.7113367701524909, 'y': 2.3745769144946838}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,097] Trial 191 finished with value: 12.315806722956946 and parameters: {'x': 3.5396118541352206, 'y': 3.879451669911221}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,097] Trial 192 finished with value: 10.020296150989592 and parameters: {'x': 3.469458015012512, 'y': 1.1690347203106715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,098] Trial 193 finished with value: 10.537264287309405 and parameters: {'x': 3.5770634585862493, 'y': 1.3211248037407284}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,099] Trial 194 finished with value: 10.289151352354983 and parameters: {'x': 2.569659832403738, 'y': 2.8024819222942092}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,100] Trial 195 finished with value: 3.731060228910131 and parameters: {'x': 0.24760921660013002, 'y': 0.5521423661189173}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,100] Trial 196 finished with value: 5.9435690466674735 and parameters: {'x': 1.3769545180557197, 'y': 0.7936675641809834}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,101] Trial 197 finished with value: 9.743775215528842 and parameters: {'x': 0.12280025833501451, 'y': 3.6135186276359184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,102] Trial 198 finished with value: 5.873860931591558 and parameters: {'x': 1.0968336994868557, 'y': 2.0440842501161494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,103] Trial 199 finished with value: 10.709851532989827 and parameters: {'x': 1.4035187216015639, 'y': 3.6233773243557295}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,103] Trial 200 finished with value: 9.954064110925012 and parameters: {'x': 3.726106479619608, 'y': 1.1507434606307019}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,104] Trial 201 finished with value: 9.176752015086375 and parameters: {'x': 2.9657694175449376, 'y': 1.6248824147200915}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,105] Trial 202 finished with value: 8.145954329559796 and parameters: {'x': 1.0228360176486495, 'y': 2.5618407253423037}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,106] Trial 203 finished with value: 6.436303642075089 and parameters: {'x': 0.1490956988241905, 'y': 2.189578164919726}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,107] Trial 204 finished with value: 11.111376943310047 and parameters: {'x': 3.8600995766607973, 'y': 2.749935443832355}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,107] Trial 205 finished with value: 9.129251992511671 and parameters: {'x': 1.1056290533154534, 'y': 3.962676922705223}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,108] Trial 206 finished with value: 8.370841149672748 and parameters: {'x': 3.239100750458276, 'y': 0.022500014848797267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,109] Trial 207 finished with value: 9.291509527012558 and parameters: {'x': 3.00568373091447, 'y': 3.0819509181231135}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,110] Trial 208 finished with value: 9.526550833010017 and parameters: {'x': 1.6196305250074117, 'y': 3.1125193232568216}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,110] Trial 209 finished with value: 9.615589923726578 and parameters: {'x': 3.267739114462778, 'y': 0.5385583215982779}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,111] Trial 210 finished with value: 9.531798143488427 and parameters: {'x': 0.25581569974990925, 'y': 3.3448825637277912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,112] Trial 211 finished with value: 8.604070357784977 and parameters: {'x': 0.46414482840332383, 'y': 2.832521354655352}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,113] Trial 212 finished with value: 10.38897582976456 and parameters: {'x': 1.8211110188726547, 'y': 3.7486718651916884}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,113] Trial 213 finished with value: 6.661796469044116 and parameters: {'x': 1.9281477756028131, 'y': 1.926628295959115}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,114] Trial 214 finished with value: 9.292910051092164 and parameters: {'x': 2.7294285878695597, 'y': 1.5245259127637056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,115] Trial 215 finished with value: 11.474812810352063 and parameters: {'x': 2.545072973407813, 'y': 3.482446850845249}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,116] Trial 216 finished with value: 5.7436489654843506 and parameters: {'x': 1.495433610786303, 'y': 0.15421009122365392}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,116] Trial 217 finished with value: 9.730716734806999 and parameters: {'x': 1.0030835880141065, 'y': 3.480006126880088}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,117] Trial 218 finished with value: 10.264000182790559 and parameters: {'x': 2.564834864793566, 'y': 2.484511186533039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,118] Trial 219 finished with value: 9.603307511303695 and parameters: {'x': 1.3610131034034234, 'y': 3.1908647326982806}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,119] Trial 220 finished with value: 4.369001281478198 and parameters: {'x': 1.188627464139461, 'y': 0.18369767028726258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,120] Trial 221 finished with value: 9.76991966254143 and parameters: {'x': 3.8988662451422833, 'y': 0.7602578472113932}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,120] Trial 222 finished with value: 7.137655618781169 and parameters: {'x': 0.8347420348689671, 'y': 2.2420510780813876}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,121] Trial 223 finished with value: 8.91040625724673 and parameters: {'x': 1.359216232474024, 'y': 2.9027621524655793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,122] Trial 224 finished with value: 11.368714852239679 and parameters: {'x': 2.6445670042252885, 'y': 3.876078195544568}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,123] Trial 225 finished with value: 10.370157440060499 and parameters: {'x': 3.388476359892063, 'y': 1.7522052503971564}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,123] Trial 226 finished with value: 11.459382868502663 and parameters: {'x': 3.4584850215221827, 'y': 2.5951719092807926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,124] Trial 227 finished with value: 10.992736541581595 and parameters: {'x': 2.7749761828694957, 'y': 3.8717898238860258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,125] Trial 228 finished with value: 7.960140413458749 and parameters: {'x': 0.9736103991275695, 'y': 3.148002172690902}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,126] Trial 229 finished with value: 10.377944264894046 and parameters: {'x': 2.5711654315986396, 'y': 2.664355196945022}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,126] Trial 230 finished with value: 6.558542754486279 and parameters: {'x': 1.617684226621781, 'y': 0.5009300791074658}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,127] Trial 231 finished with value: 9.801280921370413 and parameters: {'x': 3.348864026127328, 'y': 0.6625226793267869}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,128] Trial 232 finished with value: 9.167661545649594 and parameters: {'x': 2.481063154756097, 'y': 2.0968547757011087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,129] Trial 233 finished with value: 6.150568677473988 and parameters: {'x': 1.4320715535757742, 'y': 0.45112212163791376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,129] Trial 234 finished with value: 10.36635285952934 and parameters: {'x': 2.6644869443995005, 'y': 2.6897335048134448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,130] Trial 235 finished with value: 7.531591242768647 and parameters: {'x': 3.0831372403659976, 'y': 1.0036575398106162}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,131] Trial 236 finished with value: 10.035422239052489 and parameters: {'x': 3.5198774303521683, 'y': 1.1425514372805075}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,132] Trial 237 finished with value: 9.747190810113583 and parameters: {'x': 2.78954877508854, 'y': 2.2980258422520596}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,133] Trial 238 finished with value: 6.647193961090235 and parameters: {'x': 1.5618737305507815, 'y': 1.1428627402717866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,133] Trial 239 finished with value: 8.357914032300853 and parameters: {'x': 0.7818357971652818, 'y': 2.6659101963759047}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,134] Trial 240 finished with value: 9.656882953625262 and parameters: {'x': 3.2838729239453666, 'y': 1.2518782671452753}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,135] Trial 241 finished with value: 4.838606650477356 and parameters: {'x': 1.127651816024295, 'y': 0.7335738505655183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,136] Trial 242 finished with value: 12.064321613162095 and parameters: {'x': 3.3862929216823847, 'y': 3.8922095982680984}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,136] Trial 243 finished with value: 5.822931001256965 and parameters: {'x': 0.843687297412858, 'y': 1.9968974725397945}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,137] Trial 244 finished with value: 8.866855790726733 and parameters: {'x': 1.791902197140785, 'y': 2.4009084063607844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,138] Trial 245 finished with value: 6.557772166801325 and parameters: {'x': 1.9511937840850044, 'y': 1.2280913997344816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,139] Trial 246 finished with value: 9.787312354764817 and parameters: {'x': 3.3850961812501184, 'y': 1.1683630635558386}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,140] Trial 247 finished with value: 8.742829301568904 and parameters: {'x': 1.290558108097346, 'y': 2.4965225650679197}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,140] Trial 248 finished with value: 5.447490691876528 and parameters: {'x': 1.2059451471107838, 'y': 1.1624171543365662}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,141] Trial 249 finished with value: 9.027061550566758 and parameters: {'x': 1.9721500708771305, 'y': 2.5821701263026706}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,142] Trial 250 finished with value: 8.370883952152802 and parameters: {'x': 2.0538727135449584, 'y': 3.0770091803969715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,143] Trial 251 finished with value: 6.1153726013671275 and parameters: {'x': 0.8027764524925125, 'y': 2.032544886977046}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,143] Trial 252 finished with value: 10.426201145618794 and parameters: {'x': 3.530000655936235, 'y': 1.9646909371038488}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,144] Trial 253 finished with value: 11.504352063246044 and parameters: {'x': 3.816490922242502, 'y': 2.574605945133567}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,145] Trial 254 finished with value: 3.6130679732594935 and parameters: {'x': 0.23439520071222253, 'y': 0.9496283244843569}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,146] Trial 255 finished with value: 8.960956292931078 and parameters: {'x': 2.429179382846859, 'y': 2.0614389779376254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,147] Trial 256 finished with value: 7.364789420958257 and parameters: {'x': 3.035093792038067, 'y': 0.9398447121883335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,147] Trial 257 finished with value: 9.673715570709936 and parameters: {'x': 3.1085749997602905, 'y': 3.082467370803549}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,148] Trial 258 finished with value: 9.00033912597185 and parameters: {'x': 1.7433926655885386, 'y': 2.815818892405104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,149] Trial 259 finished with value: 11.24134202520955 and parameters: {'x': 3.830897877980727, 'y': 3.1785503483468083}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,150] Trial 260 finished with value: 9.610231355415435 and parameters: {'x': 0.43688167234642616, 'y': 3.277646712875464}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,150] Trial 261 finished with value: 8.21666138796502 and parameters: {'x': 2.542123575455598, 'y': 0.2751187058016402}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,151] Trial 262 finished with value: 10.75947517839813 and parameters: {'x': 1.5247058737186108, 'y': 3.968763572725166}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,152] Trial 263 finished with value: 9.476301269444532 and parameters: {'x': 3.410888705095577, 'y': 0.13987760450072928}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,153] Trial 264 finished with value: 8.128276506902818 and parameters: {'x': 0.9167791726823133, 'y': 2.5520365155606983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,153] Trial 265 finished with value: 5.660390527847323 and parameters: {'x': 0.13316563567089323, 'y': 1.7738623850744313}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,154] Trial 266 finished with value: 10.03745409879572 and parameters: {'x': 2.4562187521087386, 'y': 2.419717111405486}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,155] Trial 267 finished with value: 10.560729471075781 and parameters: {'x': 3.5383932628189894, 'y': 2.0750260479642955}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,156] Trial 268 finished with value: 6.911335606142488 and parameters: {'x': 1.8383476485245498, 'y': 1.269369919672592}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,157] Trial 269 finished with value: 6.263776883229383 and parameters: {'x': 1.8146924690185848, 'y': 0.7771183396725552}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,157] Trial 270 finished with value: 3.192283264509687 and parameters: {'x': 0.5438691082990537, 'y': 0.03168737130430621}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,158] Trial 271 finished with value: 9.25236139200286 and parameters: {'x': 1.163392218103672, 'y': 3.268717065064702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,159] Trial 272 finished with value: 7.615378153862055 and parameters: {'x': 0.11342996964423246, 'y': 2.781838540120356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,160] Trial 273 finished with value: 12.083086480354083 and parameters: {'x': 3.718917140075738, 'y': 3.3135414546878836}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,160] Trial 274 finished with value: 8.673172499161506 and parameters: {'x': 2.7587041874302267, 'y': 2.001624771327751}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,161] Trial 275 finished with value: 8.175856457154929 and parameters: {'x': 2.262024392522807, 'y': 2.048018787543821}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,162] Trial 276 finished with value: 6.027361661814201 and parameters: {'x': 1.1483245406422165, 'y': 1.9641797906360914}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,163] Trial 277 finished with value: 10.26132967547642 and parameters: {'x': 1.2170697034940483, 'y': 3.6809586684084397}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,164] Trial 278 finished with value: 6.584369196688137 and parameters: {'x': 1.4804530139174736, 'y': 1.1573874484627762}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,164] Trial 279 finished with value: 8.199773560716626 and parameters: {'x': 2.2385982079618105, 'y': 1.7941482446178587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,165] Trial 280 finished with value: 8.719226999352626 and parameters: {'x': 2.330905924819994, 'y': 1.7269819988722892}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,166] Trial 281 finished with value: 7.9595970366033875 and parameters: {'x': 2.5626694586361602, 'y': 0.14912568287478267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,167] Trial 282 finished with value: 11.329548540338816 and parameters: {'x': 3.431748611790516, 'y': 2.4684755464465375}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,167] Trial 283 finished with value: 5.9275598315386375 and parameters: {'x': 2.092801441089609, 'y': 1.0540812353681415}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,168] Trial 284 finished with value: 7.6442036867422924 and parameters: {'x': 2.1315161168892627, 'y': 1.342052211185913}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,169] Trial 285 finished with value: 5.336605414006623 and parameters: {'x': 1.2293885830337024, 'y': 0.39436061033300085}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,170] Trial 286 finished with value: 8.748815175839605 and parameters: {'x': 1.5092662387537024, 'y': 2.33469150262076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,171] Trial 287 finished with value: 10.33057890967017 and parameters: {'x': 3.8696424603175674, 'y': 1.7529400600215008}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,171] Trial 288 finished with value: 8.919797455084531 and parameters: {'x': 2.736416794176971, 'y': 2.0760583880204533}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,172] Trial 289 finished with value: 4.441157898677751 and parameters: {'x': 0.6958328287107154, 'y': 0.470775876927795}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,173] Trial 290 finished with value: 3.900552561783101 and parameters: {'x': 0.5199313793034581, 'y': 0.32732432513248844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,174] Trial 291 finished with value: 8.4180528356603 and parameters: {'x': 0.7484945528039133, 'y': 2.6092566567467186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,174] Trial 292 finished with value: 5.13151636527822 and parameters: {'x': 1.2725579972339172, 'y': 0.24811942487439165}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,175] Trial 293 finished with value: 9.467588278822692 and parameters: {'x': 2.8308688610430583, 'y': 3.0095214839284186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,176] Trial 294 finished with value: 11.40932682166175 and parameters: {'x': 3.5016671059800655, 'y': 3.068332225841167}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,177] Trial 295 finished with value: 11.661897145446092 and parameters: {'x': 3.4223465922726612, 'y': 3.2012730241498057}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,178] Trial 296 finished with value: 9.123309357405901 and parameters: {'x': 2.732092776659147, 'y': 2.127504908381725}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,178] Trial 297 finished with value: 9.58492096234577 and parameters: {'x': 2.812843939728247, 'y': 2.910435060816296}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,179] Trial 298 finished with value: 9.565362051884232 and parameters: {'x': 3.130495435347729, 'y': 2.9985457513559854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,180] Trial 299 finished with value: 7.688521848293625 and parameters: {'x': 2.3808104012848714, 'y': 0.9405175456205148}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,181] Trial 300 finished with value: 9.268401643125605 and parameters: {'x': 2.660731982373358, 'y': 1.6961501616917607}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,181] Trial 301 finished with value: 11.756809498893748 and parameters: {'x': 3.5227386286659543, 'y': 3.1848834998657916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,182] Trial 302 finished with value: 9.282918995429277 and parameters: {'x': 1.600901891232203, 'y': 2.7736174889703293}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,183] Trial 303 finished with value: 7.659822694499102 and parameters: {'x': 2.3514385867290546, 'y': 0.8604323469568076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,184] Trial 304 finished with value: 10.947484710652777 and parameters: {'x': 3.32130714864281, 'y': 3.0857173995915015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,185] Trial 305 finished with value: 9.941649002120565 and parameters: {'x': 3.4685901543950464, 'y': 0.7841745036496555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,185] Trial 306 finished with value: 6.27356836019511 and parameters: {'x': 0.9345120049722722, 'y': 1.5947313886006702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,186] Trial 307 finished with value: 11.83364009119155 and parameters: {'x': 3.753370456866888, 'y': 3.9573484830875594}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,187] Trial 308 finished with value: 11.087232620133545 and parameters: {'x': 2.279350606371401, 'y': 3.7268743041396815}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,188] Trial 309 finished with value: 9.951975997023917 and parameters: {'x': 1.2403215035040316, 'y': 3.907655524302301}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,189] Trial 310 finished with value: 7.450686198128425 and parameters: {'x': 1.4513014117435676, 'y': 1.4980418365942643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,189] Trial 311 finished with value: 8.217850926127987 and parameters: {'x': 2.4311030505177547, 'y': 0.6706713636599648}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,190] Trial 312 finished with value: 12.406694735290257 and parameters: {'x': 3.445533620110704, 'y': 3.6864830191075653}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,191] Trial 313 finished with value: 8.355448839522436 and parameters: {'x': 2.4767818245907787, 'y': 0.4945173522551629}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,192] Trial 314 finished with value: 6.283579650025068 and parameters: {'x': 1.7752592462908199, 'y': 0.7951081388275099}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,192] Trial 315 finished with value: 8.632220504465216 and parameters: {'x': 0.5643025059386781, 'y': 2.684344565673266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,193] Trial 316 finished with value: 6.173476799859856 and parameters: {'x': 0.9955169767369765, 'y': 1.479993490627923}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,194] Trial 317 finished with value: 10.075216693479428 and parameters: {'x': 1.3868514166713086, 'y': 3.2996527689371966}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,195] Trial 318 finished with value: 9.83265703053972 and parameters: {'x': 3.366594797411336, 'y': 0.37837696063200044}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,196] Trial 319 finished with value: 5.7641899377365355 and parameters: {'x': 1.0936157216969309, 'y': 2.0154939269359304}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,196] Trial 320 finished with value: 8.039049361310239 and parameters: {'x': 3.17926984150359, 'y': 0.0792946855486929}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,197] Trial 321 finished with value: 6.374372677227711 and parameters: {'x': 2.1576817063632108, 'y': 0.1816974223108332}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,198] Trial 322 finished with value: 10.692914630859786 and parameters: {'x': 2.191060676892676, 'y': 3.7523333591725074}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,199] Trial 323 finished with value: 4.272621529228328 and parameters: {'x': 0.5120655829592051, 'y': 0.49862800124716555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,199] Trial 324 finished with value: 5.667686004248164 and parameters: {'x': 1.974151489946808, 'y': 1.0873543411469573}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,200] Trial 325 finished with value: 3.14911825941741 and parameters: {'x': 0.05384257085487931, 'y': 0.5119500254322102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,201] Trial 326 finished with value: 11.430558534518452 and parameters: {'x': 3.167994699715818, 'y': 3.7564746079924434}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,202] Trial 327 finished with value: 9.519234463129628 and parameters: {'x': 3.922791270118661, 'y': 1.9209613389345819}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,203] Trial 328 finished with value: 8.54792782659565 and parameters: {'x': 0.6676983242757633, 'y': 2.7206798714034965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,203] Trial 329 finished with value: 10.343957494971903 and parameters: {'x': 3.796174706674506, 'y': 1.7961720398228866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,204] Trial 330 finished with value: 7.393260976478766 and parameters: {'x': 0.9303477639875446, 'y': 2.8881061672077695}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,205] Trial 331 finished with value: 4.168211622506824 and parameters: {'x': 0.568033427516911, 'y': 0.40076474146192886}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,206] Trial 332 finished with value: 8.352151380568776 and parameters: {'x': 2.5248892794224953, 'y': 0.37669484776274276}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,207] Trial 333 finished with value: 10.372212386228597 and parameters: {'x': 0.5486382147448605, 'y': 3.8023016805571226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,207] Trial 334 finished with value: 11.465116931323431 and parameters: {'x': 2.5549011493678657, 'y': 3.9985995148160476}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,208] Trial 335 finished with value: 7.533651547982446 and parameters: {'x': 3.1122260433973805, 'y': 0.06789981521679245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,209] Trial 336 finished with value: 4.518450949546146 and parameters: {'x': 0.8319125264768537, 'y': 0.5088830882153448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,210] Trial 337 finished with value: 11.187215237484192 and parameters: {'x': 2.2890048592452192, 'y': 3.637230987841597}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,211] Trial 338 finished with value: 10.631217468377777 and parameters: {'x': 3.212460725698297, 'y': 3.151238069716407}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,211] Trial 339 finished with value: 7.915541564276795 and parameters: {'x': 2.74287845774048, 'y': 0.9216415115955656}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,212] Trial 340 finished with value: 9.673978866468232 and parameters: {'x': 3.7908591198317727, 'y': 0.1932091267248519}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,213] Trial 341 finished with value: 5.40304171497252 and parameters: {'x': 0.954423029584103, 'y': 1.969828102065398}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,214] Trial 342 finished with value: 12.042616210694453 and parameters: {'x': 3.3733840526910974, 'y': 3.376876997921342}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,214] Trial 343 finished with value: 8.785656690828066 and parameters: {'x': 0.5127988159592372, 'y': 3.034373595835823}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,215] Trial 344 finished with value: 8.058158484803876 and parameters: {'x': 1.1635372808096633, 'y': 3.0573367491756858}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,216] Trial 345 finished with value: 10.362114273889164 and parameters: {'x': 3.347100872005856, 'y': 1.5076593906340912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,217] Trial 346 finished with value: 11.392777604957166 and parameters: {'x': 2.7909279129092934, 'y': 3.6798647776849185}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,218] Trial 347 finished with value: 8.257572560266517 and parameters: {'x': 1.8747106902665256, 'y': 2.9264405129485396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,218] Trial 348 finished with value: 1.191533546628932 and parameters: {'x': 0.04098816215805545, 'y': 0.17575252540152997}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,219] Trial 349 finished with value: 6.528414693370539 and parameters: {'x': 2.0986759869413723, 'y': 1.1635260998377377}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,220] Trial 350 finished with value: 4.578848126507644 and parameters: {'x': 0.7850809443858684, 'y': 0.5846514384255186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,221] Trial 351 finished with value: 4.717440335628027 and parameters: {'x': 1.0561713549229714, 'y': 1.1750808591313686}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,222] Trial 352 finished with value: 8.62433938989944 and parameters: {'x': 2.914436298305064, 'y': 0.5192348455391631}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,222] Trial 353 finished with value: 8.28157910362034 and parameters: {'x': 2.515171096976729, 'y': 0.7715967853955292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,223] Trial 354 finished with value: 8.031780167962317 and parameters: {'x': 2.499557269956178, 'y': 0.2222792532667559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,224] Trial 355 finished with value: 9.137449237447111 and parameters: {'x': 1.677582622614922, 'y': 3.023643543029472}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,225] Trial 356 finished with value: 9.799768279881432 and parameters: {'x': 0.9309103481609493, 'y': 3.653612348612905}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,225] Trial 357 finished with value: 9.14726937689981 and parameters: {'x': 0.9114826668177916, 'y': 3.8759524431225048}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,226] Trial 358 finished with value: 8.644835094085106 and parameters: {'x': 1.2588950259545113, 'y': 2.48788875134704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,227] Trial 359 finished with value: 9.053231827241326 and parameters: {'x': 0.5869817235510006, 'y': 3.130377458831803}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,228] Trial 360 finished with value: 3.411285954506919 and parameters: {'x': 0.7050586121580449, 'y': 0.12680082581006102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,229] Trial 361 finished with value: 6.447468025493851 and parameters: {'x': 1.4220967532913322, 'y': 1.1594983078421475}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,229] Trial 362 finished with value: 9.813601898285599 and parameters: {'x': 3.685269522802166, 'y': 0.8893489297364794}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,230] Trial 363 finished with value: 8.104774870743212 and parameters: {'x': 2.532211234879781, 'y': 0.2291961280504231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,231] Trial 364 finished with value: 11.567426758994019 and parameters: {'x': 3.580392966262677, 'y': 2.534915475101615}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,232] Trial 365 finished with value: 6.430551183634282 and parameters: {'x': 1.8510739401287246, 'y': 0.36315241813681265}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,233] Trial 366 finished with value: 10.196750361368728 and parameters: {'x': 3.9286133392638902, 'y': 3.0065275678507266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,233] Trial 367 finished with value: 11.204693514709696 and parameters: {'x': 3.7055910447225733, 'y': 2.308877509177674}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,234] Trial 368 finished with value: 6.634120639228918 and parameters: {'x': 1.778248827954719, 'y': 0.47372214586660366}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,235] Trial 369 finished with value: 5.539252636912586 and parameters: {'x': 0.013568479012842527, 'y': 1.7195890827411842}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,236] Trial 370 finished with value: 5.976968207153636 and parameters: {'x': 1.7824860939905829, 'y': 0.9016025301978696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,236] Trial 371 finished with value: 5.264081263969686 and parameters: {'x': 1.2636779461519687, 'y': 1.0270311801286396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,237] Trial 372 finished with value: 9.719222267426572 and parameters: {'x': 1.0181424006401238, 'y': 3.686905356694062}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,238] Trial 373 finished with value: 9.17258988928529 and parameters: {'x': 3.0146465869507315, 'y': 1.4200477277472183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,239] Trial 374 finished with value: 10.448858271486321 and parameters: {'x': 1.9164062512120363, 'y': 3.610922045132941}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,240] Trial 375 finished with value: 8.29517954260463 and parameters: {'x': 3.0542344761550297, 'y': 0.7503530230121647}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,240] Trial 376 finished with value: 5.46022332083805 and parameters: {'x': 1.3498322891457715, 'y': 0.23519239497756717}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,241] Trial 377 finished with value: 10.31151529518906 and parameters: {'x': 1.232620618038632, 'y': 3.6810969767719772}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,242] Trial 378 finished with value: 9.620428111076176 and parameters: {'x': 0.05302978990486018, 'y': 3.5562617518764283}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,243] Trial 379 finished with value: 7.145067016910065 and parameters: {'x': 2.8704006458623246, 'y': 0.05856204340429816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,244] Trial 380 finished with value: 7.615509022271754 and parameters: {'x': 2.0298324622047974, 'y': 1.4358335026956333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,244] Trial 381 finished with value: 10.916095141366544 and parameters: {'x': 2.3697860126664643, 'y': 3.321808345274754}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,245] Trial 382 finished with value: 12.399401740420132 and parameters: {'x': 3.466580215969038, 'y': 3.519267049908465}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,246] Trial 383 finished with value: 12.44262680181242 and parameters: {'x': 3.7310071734911925, 'y': 3.6643780634045138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,247] Trial 384 finished with value: 9.142527082249929 and parameters: {'x': 2.882719416839632, 'y': 1.6461840523728104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,248] Trial 385 finished with value: 9.239754233553501 and parameters: {'x': 2.5759608140989747, 'y': 1.5391631459672297}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,248] Trial 386 finished with value: 6.284598645056207 and parameters: {'x': 0.8702285303132826, 'y': 1.672129456953738}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,249] Trial 387 finished with value: 10.152804966108985 and parameters: {'x': 3.6934629366226015, 'y': 0.744845969281184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,250] Trial 388 finished with value: 3.389312682331248 and parameters: {'x': 0.053694591129884284, 'y': 1.1261876829075792}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,251] Trial 389 finished with value: 10.283447623535013 and parameters: {'x': 3.2388795618896027, 'y': 2.974622653487798}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,251] Trial 390 finished with value: 11.302617455565434 and parameters: {'x': 3.515598201960283, 'y': 2.908952204458161}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,252] Trial 391 finished with value: 11.125939966673439 and parameters: {'x': 2.4941310914546113, 'y': 3.325759234467637}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,253] Trial 392 finished with value: 10.816812218801022 and parameters: {'x': 2.4885158267517737, 'y': 3.224158476295799}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,254] Trial 393 finished with value: 10.050727622585395 and parameters: {'x': 1.2107379893350432, 'y': 3.4332492569334763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,255] Trial 394 finished with value: 5.95575827799291 and parameters: {'x': 0.6692460786760335, 'y': 1.3454235380425494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,256] Trial 395 finished with value: 8.903415776483602 and parameters: {'x': 1.006126472829457, 'y': 3.279586119031793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,256] Trial 396 finished with value: 4.547039657651432 and parameters: {'x': 0.7650725322320575, 'y': 0.5336811286061329}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,257] Trial 397 finished with value: 7.646434899367684 and parameters: {'x': 1.5191921106060464, 'y': 1.9600495063208347}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,258] Trial 398 finished with value: 8.23501821441278 and parameters: {'x': 2.464469780852896, 'y': 0.7313268391281604}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,259] Trial 399 finished with value: 8.78323456105996 and parameters: {'x': 2.3595946161420396, 'y': 1.4770688236450096}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,260] Trial 400 finished with value: 11.07950687309173 and parameters: {'x': 2.7633452013271462, 'y': 3.8532351310288586}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,261] Trial 401 finished with value: 9.011181143989141 and parameters: {'x': 0.655696041444696, 'y': 3.149145726131916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,261] Trial 402 finished with value: 0.21108155708882137 and parameters: {'x': 0.025106650762250826, 'y': 0.044143703865536565}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,262] Trial 403 finished with value: 4.526352639294384 and parameters: {'x': 0.6040185419770716, 'y': 0.5878079950089186}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,263] Trial 404 finished with value: 10.340964653977816 and parameters: {'x': 3.922897219307625, 'y': 0.49698547657353664}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,264] Trial 405 finished with value: 11.540325958618682 and parameters: {'x': 2.71638072852915, 'y': 3.569585834030987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,264] Trial 406 finished with value: 6.933258476365397 and parameters: {'x': 2.959069099663764, 'y': 0.04356363809009567}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,265] Trial 407 finished with value: 10.254178574604502 and parameters: {'x': 2.6298707108398554, 'y': 2.4547503705112566}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,266] Trial 408 finished with value: 10.405598398037926 and parameters: {'x': 1.7389756543820347, 'y': 3.3948028236020438}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,267] Trial 409 finished with value: 10.05170557739612 and parameters: {'x': 2.1334557265352014, 'y': 3.868058156883832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,268] Trial 410 finished with value: 7.887839083942328 and parameters: {'x': 1.6287170896550038, 'y': 2.0897524947265884}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,268] Trial 411 finished with value: 10.097956892334187 and parameters: {'x': 0.26943310227075745, 'y': 3.6493057219845557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,269] Trial 412 finished with value: 12.397487232313319 and parameters: {'x': 3.6728053515894983, 'y': 3.7555399684970867}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,270] Trial 413 finished with value: 7.7502659636836295 and parameters: {'x': 2.1963460321873667, 'y': 1.8724424201058856}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,271] Trial 414 finished with value: 12.241300305489641 and parameters: {'x': 3.4785432697512286, 'y': 3.923978720743307}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,272] Trial 415 finished with value: 9.624761197683 and parameters: {'x': 2.996713083928662, 'y': 2.3080426422065425}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,272] Trial 416 finished with value: 8.886410547926278 and parameters: {'x': 0.10292278890589968, 'y': 3.986448817996}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,273] Trial 417 finished with value: 12.100939315290324 and parameters: {'x': 3.771874453396725, 'y': 3.3433333766881055}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,274] Trial 418 finished with value: 9.49851289582427 and parameters: {'x': 1.3519286769698113, 'y': 3.172081894155109}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,275] Trial 419 finished with value: 8.485090347805786 and parameters: {'x': 2.7821019543892733, 'y': 0.3698217566305906}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,276] Trial 420 finished with value: 7.063063066010319 and parameters: {'x': 0.5229450172512125, 'y': 2.09602817646162}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,276] Trial 421 finished with value: 7.590651626257822 and parameters: {'x': 2.280842459714937, 'y': 1.1567589240790626}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,277] Trial 422 finished with value: 10.344647702828512 and parameters: {'x': 3.8273839653448762, 'y': 0.5691294933683881}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,278] Trial 423 finished with value: 8.547161960427571 and parameters: {'x': 1.2455727745592617, 'y': 2.4579433723422466}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,279] Trial 424 finished with value: 2.526398416087993 and parameters: {'x': 0.346073360573548, 'y': 0.07793340180577557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,280] Trial 425 finished with value: 10.148507008831835 and parameters: {'x': 3.999959224017629, 'y': 2.1755982994371954}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,280] Trial 426 finished with value: 9.038592963824982 and parameters: {'x': 2.591949962224946, 'y': 1.9928356931176459}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,281] Trial 427 finished with value: 6.9931641066296955 and parameters: {'x': 2.236211904249122, 'y': 0.21387538672672113}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,282] Trial 428 finished with value: 9.134617235514785 and parameters: {'x': 3.158548992949356, 'y': 2.116827573324681}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,283] Trial 429 finished with value: 3.261339563420208 and parameters: {'x': 1.095888545241697, 'y': 0.08121109210178323}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,284] Trial 430 finished with value: 5.795248953033454 and parameters: {'x': 0.7365576458376459, 'y': 1.3205923166777298}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,284] Trial 431 finished with value: 12.252994876582656 and parameters: {'x': 3.9556281513375544, 'y': 3.599134727042208}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,285] Trial 432 finished with value: 9.50669025502117 and parameters: {'x': 2.2612986337706773, 'y': 2.8305818026196548}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,286] Trial 433 finished with value: 6.17155536225377 and parameters: {'x': 1.4535549443577427, 'y': 0.8061218372041883}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,287] Trial 434 finished with value: 7.330274947797166 and parameters: {'x': 2.998473426438397, 'y': 1.0577641880364999}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,287] Trial 435 finished with value: 8.234903033718643 and parameters: {'x': 2.6969037673592906, 'y': 1.1116266886879185}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,288] Trial 436 finished with value: 10.626381760856646 and parameters: {'x': 2.4911711112382458, 'y': 3.1667404829508645}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,289] Trial 437 finished with value: 6.508127609588357 and parameters: {'x': 1.7007902059654354, 'y': 0.39030525510783143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,290] Trial 438 finished with value: 9.044811275943646 and parameters: {'x': 1.7013920933763602, 'y': 2.858407769926415}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,291] Trial 439 finished with value: 9.008508877213199 and parameters: {'x': 3.041837585563343, 'y': 2.191445148488896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,291] Trial 440 finished with value: 11.905780093271849 and parameters: {'x': 3.226206925709196, 'y': 3.5904942026565596}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,292] Trial 441 finished with value: 9.93731915889512 and parameters: {'x': 3.349901621290708, 'y': 1.2592206426730508}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,293] Trial 442 finished with value: 8.975206970956329 and parameters: {'x': 2.1533551473851507, 'y': 2.3477216015918714}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,294] Trial 443 finished with value: 11.022339107405864 and parameters: {'x': 3.7218204317554098, 'y': 2.969339733446317}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,295] Trial 444 finished with value: 7.793452455376546 and parameters: {'x': 2.9749405864994456, 'y': 0.8144062904287135}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,295] Trial 445 finished with value: 5.3928498697735385 and parameters: {'x': 1.0023536798403767, 'y': 1.9609821375155065}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,296] Trial 446 finished with value: 8.44113147671768 and parameters: {'x': 0.578915866335016, 'y': 2.514276989395927}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,297] Trial 447 finished with value: 9.260996483941742 and parameters: {'x': 2.546649800269987, 'y': 2.103928080274987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,298] Trial 448 finished with value: 8.355894074982917 and parameters: {'x': 2.4916755111872475, 'y': 0.443576668606922}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,299] Trial 449 finished with value: 10.857185288969665 and parameters: {'x': 3.9927550695232834, 'y': 2.780052820739364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,299] Trial 450 finished with value: 9.6700383959976 and parameters: {'x': 3.372010239312165, 'y': 0.27511738674902375}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,300] Trial 451 finished with value: 9.626184795100908 and parameters: {'x': 0.7461085156314828, 'y': 3.337309217922648}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,301] Trial 452 finished with value: 9.649121603028515 and parameters: {'x': 2.789330472287906, 'y': 2.935068581388643}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,302] Trial 453 finished with value: 5.052213553206837 and parameters: {'x': 0.2620305670474905, 'y': 1.2484923925015976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,303] Trial 454 finished with value: 9.222251359304856 and parameters: {'x': 2.782626659345648, 'y': 1.4677608336129824}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,303] Trial 455 finished with value: 10.436945315860191 and parameters: {'x': 3.6936877337548544, 'y': 1.8510790107698516}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,304] Trial 456 finished with value: 4.962481628455059 and parameters: {'x': 0.4089812959284349, 'y': 1.1398111353619549}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,305] Trial 457 finished with value: 6.51230720914808 and parameters: {'x': 1.6231294294881788, 'y': 0.7295441233125257}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,306] Trial 458 finished with value: 10.56229721261589 and parameters: {'x': 1.650641190443264, 'y': 3.426933525709896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,307] Trial 459 finished with value: 9.653118757839884 and parameters: {'x': 2.61592306415803, 'y': 2.2206931869195916}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,307] Trial 460 finished with value: 10.67350425509411 and parameters: {'x': 1.7521963772660163, 'y': 3.558573523393536}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,308] Trial 461 finished with value: 8.708600936674987 and parameters: {'x': 1.9271105969994888, 'y': 2.393237861052923}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,309] Trial 462 finished with value: 3.7506086448421634 and parameters: {'x': 1.0494635736730475, 'y': 0.9584980735204098}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,310] Trial 463 finished with value: 9.598474512965854 and parameters: {'x': 0.03539959574504348, 'y': 3.6231365952220584}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,311] Trial 464 finished with value: 8.974946699354579 and parameters: {'x': 0.9809944954317862, 'y': 3.8863509276479857}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,311] Trial 465 finished with value: 7.772058988673429 and parameters: {'x': 1.0510947219993967, 'y': 3.1081610988411383}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,312] Trial 466 finished with value: 9.276000540651202 and parameters: {'x': 2.6260969953224196, 'y': 2.113940854424979}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,313] Trial 467 finished with value: 9.471032643776867 and parameters: {'x': 0.743259416089181, 'y': 3.2970146386381223}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,314] Trial 468 finished with value: 10.259476572914593 and parameters: {'x': 3.8217833488349022, 'y': 0.6361069051358492}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,315] Trial 469 finished with value: 6.457099650100211 and parameters: {'x': 0.7645348847707507, 'y': 1.6984123902533894}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,316] Trial 470 finished with value: 2.063085021632414 and parameters: {'x': 0.19769269071737483, 'y': 0.18945631103221228}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,317] Trial 471 finished with value: 4.207855684959583 and parameters: {'x': 0.40157342389645523, 'y': 0.594188019456364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,317] Trial 472 finished with value: 4.146218703746907 and parameters: {'x': 0.3423750083190007, 'y': 0.8019459319131306}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,318] Trial 473 finished with value: 10.01353546655346 and parameters: {'x': 2.5958179050471477, 'y': 2.341003534870675}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,319] Trial 474 finished with value: 9.569395460866058 and parameters: {'x': 1.510089205063304, 'y': 3.1127636951494377}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,320] Trial 475 finished with value: 6.283597376683087 and parameters: {'x': 0.7360855719356194, 'y': 1.9490968776301902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,321] Trial 476 finished with value: 7.869681957805096 and parameters: {'x': 0.9096106796882286, 'y': 2.764915570387479}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,321] Trial 477 finished with value: 11.192095977398395 and parameters: {'x': 2.8037299655192665, 'y': 3.7620631677983236}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,322] Trial 478 finished with value: 4.427443669547809 and parameters: {'x': 0.6591004528098448, 'y': 0.47741899872377846}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,323] Trial 479 finished with value: 10.354234141119697 and parameters: {'x': 3.7934581813527313, 'y': 0.44935790813022347}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,324] Trial 480 finished with value: 11.472892968979941 and parameters: {'x': 3.6969090560602127, 'y': 3.1385155822785213}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,325] Trial 481 finished with value: 9.575248257035602 and parameters: {'x': 0.7423717629231437, 'y': 3.3220258703289143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,325] Trial 482 finished with value: 6.708094948839129 and parameters: {'x': 0.11392226349831924, 'y': 2.248702684925605}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,326] Trial 483 finished with value: 7.512671613029504 and parameters: {'x': 1.6545076524482751, 'y': 1.4079545649809178}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,327] Trial 484 finished with value: 9.225371873776844 and parameters: {'x': 3.1197440455956627, 'y': 1.7480286992791503}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,328] Trial 485 finished with value: 8.644775582144975 and parameters: {'x': 3.277433870074068, 'y': 0.03762725050179805}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,329] Trial 486 finished with value: 9.34806610224668 and parameters: {'x': 2.130809674433918, 'y': 2.559396381704046}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,329] Trial 487 finished with value: 10.235510313932078 and parameters: {'x': 1.3029296167223055, 'y': 3.4136852817415533}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,330] Trial 488 finished with value: 8.505807953242515 and parameters: {'x': 2.715452161679803, 'y': 0.6948465727890976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,331] Trial 489 finished with value: 5.927707311877974 and parameters: {'x': 1.3414850400325458, 'y': 0.5075975702630036}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,332] Trial 490 finished with value: 11.103488669840118 and parameters: {'x': 2.319494070977358, 'y': 3.4488429902385724}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,333] Trial 491 finished with value: 10.355196985609664 and parameters: {'x': 3.96479539855673, 'y': 2.2110810986202902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,333] Trial 492 finished with value: 8.829678564856053 and parameters: {'x': 0.17281094473408487, 'y': 3.2493371853435034}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,334] Trial 493 finished with value: 6.7152972835150315 and parameters: {'x': 2.0030516525284563, 'y': 0.6144779672961334}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,335] Trial 494 finished with value: 8.83428182278424 and parameters: {'x': 0.4728307107402876, 'y': 3.058814201887216}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,336] Trial 495 finished with value: 4.5846587937858025 and parameters: {'x': 0.18319816044558834, 'y': 1.2216716397362832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,337] Trial 496 finished with value: 11.24437461300541 and parameters: {'x': 3.3709738172649604, 'y': 2.5037428477898285}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,337] Trial 497 finished with value: 10.611654875736399 and parameters: {'x': 2.1195657505770105, 'y': 3.6646007700484367}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,338] Trial 498 finished with value: 6.9973027578278995 and parameters: {'x': 1.9878017516227215, 'y': 1.8250387245599597}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,339] Trial 499 finished with value: 9.515740035109893 and parameters: {'x': 3.78782724739539, 'y': 0.15184831525247633}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,339] A new study created in memory with name: x=[1,3), y=[1,3)\n[I 2023-11-01 05:12:38,340] Trial 0 finished with value: 9.501280285096856 and parameters: {'x': 2.1795551304711878, 'y': 2.5469138645456475}. Best is trial 0 with value: 9.501280285096856.\n[I 2023-11-01 05:12:38,341] Trial 1 finished with value: 7.689690058529395 and parameters: {'x': 2.116941820323029, 'y': 1.3704460118285542}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:12:38,342] Trial 2 finished with value: 8.869154016661145 and parameters: {'x': 1.734893579523559, 'y': 2.3800301262465355}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:12:38,342] Trial 3 finished with value: 9.217083724375263 and parameters: {'x': 2.5463037482718427, 'y': 1.698250749178961}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:12:38,343] Trial 4 finished with value: 6.620326818681299 and parameters: {'x': 1.3418267714049732, 'y': 1.2749591602362444}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:12:38,344] Trial 5 finished with value: 9.947604021051855 and parameters: {'x': 2.328190210719468, 'y': 2.542129917484096}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:12:38,345] Trial 6 finished with value: 10.111364306571687 and parameters: {'x': 2.992415863822332, 'y': 2.445973518335129}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:12:38,345] Trial 7 finished with value: 8.117689709113845 and parameters: {'x': 2.518112634863238, 'y': 1.0345349209545471}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:12:38,346] Trial 8 finished with value: 8.599980015079133 and parameters: {'x': 1.985150133883719, 'y': 2.361999061196193}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:12:38,347] Trial 9 finished with value: 6.466307419325002 and parameters: {'x': 1.0815335322750994, 'y': 1.6010550958884728}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:12:38,348] Trial 10 finished with value: 8.748658037765297 and parameters: {'x': 1.983065686509458, 'y': 2.4013248906189615}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:12:38,348] Trial 11 finished with value: 4.280422047649996 and parameters: {'x': 1.0053750515354973, 'y': 1.1344853944712368}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,349] Trial 12 finished with value: 7.631641045157027 and parameters: {'x': 1.5136532280501904, 'y': 1.5621179581261906}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,350] Trial 13 finished with value: 5.126684569001355 and parameters: {'x': 1.0943183618191, 'y': 1.2102968958712526}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,350] Trial 14 finished with value: 9.200375404047493 and parameters: {'x': 1.485146457738034, 'y': 2.9442744467689}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,351] Trial 15 finished with value: 9.496066674328905 and parameters: {'x': 2.9893985683076987, 'y': 2.285295712632221}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,352] Trial 16 finished with value: 9.20722421376879 and parameters: {'x': 2.888794756172593, 'y': 2.9479421929365683}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,353] Trial 17 finished with value: 9.820418190182155 and parameters: {'x': 2.7489324125385366, 'y': 2.929928470528349}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,353] Trial 18 finished with value: 7.68682424815664 and parameters: {'x': 1.7693477747355273, 'y': 1.6880511561059623}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,354] Trial 19 finished with value: 6.23361005262851 and parameters: {'x': 1.0278738361908484, 'y': 1.4858953052005117}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,355] Trial 20 finished with value: 8.183951521175912 and parameters: {'x': 2.191259277116293, 'y': 1.4515483770275646}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,356] Trial 21 finished with value: 8.387527249929715 and parameters: {'x': 2.317659241765322, 'y': 1.9236263660786883}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,357] Trial 22 finished with value: 7.28969285733878 and parameters: {'x': 1.7768688655704867, 'y': 1.3408983120046298}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,357] Trial 23 finished with value: 9.661281182879502 and parameters: {'x': 2.2434246133626727, 'y': 2.706378756341615}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,358] Trial 24 finished with value: 9.241054440156928 and parameters: {'x': 1.639685998678829, 'y': 2.550800978853915}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,359] Trial 25 finished with value: 9.492202191083631 and parameters: {'x': 2.8437203833277316, 'y': 2.8949435337203635}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,359] Trial 26 finished with value: 8.739874474944795 and parameters: {'x': 1.459781325603565, 'y': 2.351888773662857}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,360] Trial 27 finished with value: 8.973115982363957 and parameters: {'x': 1.6843967683601837, 'y': 2.4048917604855475}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,361] Trial 28 finished with value: 8.47252181314089 and parameters: {'x': 2.922716542694479, 'y': 1.2624815334953179}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,362] Trial 29 finished with value: 7.849748665716774 and parameters: {'x': 2.0648190920986487, 'y': 1.5820191742716103}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,362] Trial 30 finished with value: 7.225452638805441 and parameters: {'x': 1.3323600161247302, 'y': 2.0169392602346585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,363] Trial 31 finished with value: 8.497265009934077 and parameters: {'x': 1.1907150947448137, 'y': 2.711658305757213}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,364] Trial 32 finished with value: 5.58563603594332 and parameters: {'x': 1.164753074337394, 'y': 1.226778345604655}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,365] Trial 33 finished with value: 7.513168780303209 and parameters: {'x': 1.438771558179375, 'y': 1.8561933890452214}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,366] Trial 34 finished with value: 10.036185032484997 and parameters: {'x': 2.7588346246330424, 'y': 2.8045362579158644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,366] Trial 35 finished with value: 9.725500430892048 and parameters: {'x': 2.248857539172614, 'y': 2.5451257493449897}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,367] Trial 36 finished with value: 9.303195937042831 and parameters: {'x': 2.6499797485839593, 'y': 2.129994395445907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,368] Trial 37 finished with value: 7.504659314912903 and parameters: {'x': 1.4170785888985076, 'y': 1.6023382914670337}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,369] Trial 38 finished with value: 7.594638748301016 and parameters: {'x': 1.8407705077703342, 'y': 1.4766582402639137}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,370] Trial 39 finished with value: 8.334347071558396 and parameters: {'x': 1.1195428355366783, 'y': 2.644368853359082}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,371] Trial 40 finished with value: 7.595379550393446 and parameters: {'x': 1.6520069020915964, 'y': 1.9757114648600385}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,372] Trial 41 finished with value: 8.914385594429811 and parameters: {'x': 1.6470517107976008, 'y': 2.376989100206301}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,373] Trial 42 finished with value: 7.0818112184634625 and parameters: {'x': 1.9628877719392275, 'y': 1.3183124993698585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,373] Trial 43 finished with value: 8.913268618568011 and parameters: {'x': 2.6933015848984994, 'y': 1.8982819389972656}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,374] Trial 44 finished with value: 6.274280378720249 and parameters: {'x': 1.0099471446301753, 'y': 1.527052381039326}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,375] Trial 45 finished with value: 5.204000585932636 and parameters: {'x': 1.216951047813766, 'y': 1.1013262039458973}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,376] Trial 46 finished with value: 9.741805624133733 and parameters: {'x': 2.5259678280944784, 'y': 2.259709570452115}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,377] Trial 47 finished with value: 6.296778616088442 and parameters: {'x': 1.5291890491860796, 'y': 1.0228639505783026}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,378] Trial 48 finished with value: 9.129572645190375 and parameters: {'x': 2.47957554253214, 'y': 1.581063419584534}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,379] Trial 49 finished with value: 10.03449672210819 and parameters: {'x': 2.4140777216988454, 'y': 2.8688241358588593}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,379] Trial 50 finished with value: 7.986420805613088 and parameters: {'x': 1.5869407958655537, 'y': 2.1086035965849828}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,380] Trial 51 finished with value: 7.78469008465053 and parameters: {'x': 1.3794951150973072, 'y': 2.133730616674673}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,381] Trial 52 finished with value: 10.346702498937645 and parameters: {'x': 2.6600353834124157, 'y': 2.5265542823496276}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,382] Trial 53 finished with value: 8.397521047633518 and parameters: {'x': 2.8978919897984197, 'y': 2.0946088457485397}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,383] Trial 54 finished with value: 8.729635565576425 and parameters: {'x': 2.3226416072190963, 'y': 2.1163001449679175}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,384] Trial 55 finished with value: 6.563335605862068 and parameters: {'x': 1.2163645109709191, 'y': 1.871269427619554}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,385] Trial 56 finished with value: 6.873609887768213 and parameters: {'x': 1.2251556830566572, 'y': 1.7367674345443647}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,386] Trial 57 finished with value: 8.80557668194253 and parameters: {'x': 2.3857385187069093, 'y': 1.8044692754689606}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,386] Trial 58 finished with value: 8.48024561077549 and parameters: {'x': 2.859408136043024, 'y': 1.8608932253951125}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,387] Trial 59 finished with value: 7.929450226423043 and parameters: {'x': 1.069350630996834, 'y': 2.4151552500515012}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,388] Trial 60 finished with value: 7.524695733250729 and parameters: {'x': 1.5090899388472594, 'y': 1.4852477824087806}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,389] Trial 61 finished with value: 6.916920537471675 and parameters: {'x': 1.641179571690034, 'y': 1.2137699988751192}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,390] Trial 62 finished with value: 10.022015362074939 and parameters: {'x': 2.354751893467662, 'y': 2.7214581032189935}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,390] Trial 63 finished with value: 5.569058505649405 and parameters: {'x': 1.8750334501787682, 'y': 1.0065938879959706}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,391] Trial 64 finished with value: 9.236481240422165 and parameters: {'x': 2.7225253991380605, 'y': 1.463453956459146}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,392] Trial 65 finished with value: 7.589909153165305 and parameters: {'x': 1.8828143174093952, 'y': 1.4849961540002887}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,393] Trial 66 finished with value: 6.057427416925147 and parameters: {'x': 1.1136598146306471, 'y': 2.0651176783638157}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,393] Trial 67 finished with value: 5.333604535066673 and parameters: {'x': 1.1521593149514442, 'y': 1.1967712091492033}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,394] Trial 68 finished with value: 8.47663339990434 and parameters: {'x': 2.7331662465388735, 'y': 1.1946410227095325}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,395] Trial 69 finished with value: 6.1557427755607605 and parameters: {'x': 2.115689757806627, 'y': 1.075954418838918}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,396] Trial 70 finished with value: 8.21432386178338 and parameters: {'x': 2.426697315572791, 'y': 1.1610984577096755}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,396] Trial 71 finished with value: 9.150950844862605 and parameters: {'x': 1.4810568123213028, 'y': 2.5428552435500063}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,397] Trial 72 finished with value: 6.446630137296186 and parameters: {'x': 1.9154490857784012, 'y': 1.2081435102536793}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,398] Trial 73 finished with value: 7.702963494527083 and parameters: {'x': 1.5491345118660198, 'y': 1.5939876007739795}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,399] Trial 74 finished with value: 7.005032748152567 and parameters: {'x': 1.826844626954173, 'y': 1.9268425602050288}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,400] Trial 75 finished with value: 9.27183740472173 and parameters: {'x': 1.498215097882374, 'y': 2.676718866467224}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,400] Trial 76 finished with value: 6.1788202097104445 and parameters: {'x': 1.4090942518581993, 'y': 1.092598285985039}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,404] Trial 77 finished with value: 8.983446483572983 and parameters: {'x': 2.2413872996736677, 'y': 2.262636501594432}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,405] Trial 78 finished with value: 8.216516191382501 and parameters: {'x': 1.1779154251103852, 'y': 2.812668726136599}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,406] Trial 79 finished with value: 8.454386883504299 and parameters: {'x': 2.3305972180416967, 'y': 1.9835764247236907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,407] Trial 80 finished with value: 7.850643863378659 and parameters: {'x': 1.7388072343407257, 'y': 2.1404356549330252}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,408] Trial 81 finished with value: 8.548120869822377 and parameters: {'x': 1.2355723676495973, 'y': 2.4716454451936927}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,408] Trial 82 finished with value: 8.386285418856902 and parameters: {'x': 2.7552139515981446, 'y': 1.1836615335225171}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,409] Trial 83 finished with value: 9.33277811056341 and parameters: {'x': 2.2088941144948118, 'y': 2.792964798250159}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,410] Trial 84 finished with value: 10.191009221350768 and parameters: {'x': 2.585848255012078, 'y': 2.9630703840002472}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,411] Trial 85 finished with value: 9.199310232934744 and parameters: {'x': 2.748849783785084, 'y': 1.441554730785663}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,412] Trial 86 finished with value: 9.2646294664593 and parameters: {'x': 1.5948713689545138, 'y': 2.8027793439493904}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,413] Trial 87 finished with value: 7.080688050613922 and parameters: {'x': 1.9661671599435053, 'y': 1.8037364200866381}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,413] Trial 88 finished with value: 9.013415425450534 and parameters: {'x': 2.4163310734970684, 'y': 1.636886697540102}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,414] Trial 89 finished with value: 6.866821452286725 and parameters: {'x': 1.890540471699981, 'y': 1.88483373776394}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,415] Trial 90 finished with value: 5.959158557344825 and parameters: {'x': 1.3281373141813404, 'y': 1.125500051842644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,416] Trial 91 finished with value: 7.87159220193886 and parameters: {'x': 2.359511515835968, 'y': 1.1279106069988678}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,417] Trial 92 finished with value: 9.202654686101095 and parameters: {'x': 1.4685789842334418, 'y': 2.604580581576726}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,418] Trial 93 finished with value: 7.6448009517846 and parameters: {'x': 2.0921232065193225, 'y': 1.73682311950304}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,419] Trial 94 finished with value: 6.6725930457942475 and parameters: {'x': 1.6921203518903358, 'y': 1.1628807707949569}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,420] Trial 95 finished with value: 6.116863193669975 and parameters: {'x': 1.0694790248579369, 'y': 1.4104985430277928}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,420] Trial 96 finished with value: 8.847283521590567 and parameters: {'x': 1.9662722891008542, 'y': 2.701251138159574}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,421] Trial 97 finished with value: 8.443230082626295 and parameters: {'x': 2.2382451209071936, 'y': 1.6551477720943748}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,422] Trial 98 finished with value: 7.671184542786042 and parameters: {'x': 1.9676209973302294, 'y': 1.5656060031227454}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,423] Trial 99 finished with value: 4.788155844147777 and parameters: {'x': 1.0151800894576377, 'y': 1.200455850814773}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,424] Trial 100 finished with value: 4.045505869420193 and parameters: {'x': 1.0652252404158025, 'y': 1.0635003202026654}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,424] Trial 101 finished with value: 9.330788286768396 and parameters: {'x': 2.4173773897708193, 'y': 2.1901578920897675}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,425] Trial 102 finished with value: 7.069570698766446 and parameters: {'x': 1.1168049032504792, 'y': 2.222497516983431}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,426] Trial 103 finished with value: 6.317079292167321 and parameters: {'x': 1.0975025588917013, 'y': 2.12549533279568}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,427] Trial 104 finished with value: 9.29855178082329 and parameters: {'x': 1.5324004580461716, 'y': 2.723016150949123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,428] Trial 105 finished with value: 9.192696852614601 and parameters: {'x': 1.4808206774849857, 'y': 2.579008136152047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,428] Trial 106 finished with value: 8.408472658306273 and parameters: {'x': 2.831926346840218, 'y': 1.9197290242202152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,429] Trial 107 finished with value: 10.135310503921435 and parameters: {'x': 2.432192587200304, 'y': 2.5119874467684147}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,430] Trial 108 finished with value: 8.879378516475859 and parameters: {'x': 1.7407377105650303, 'y': 2.3855217737559635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,431] Trial 109 finished with value: 9.055230122907686 and parameters: {'x': 2.717636437055245, 'y': 2.0991095781429183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,432] Trial 110 finished with value: 7.293293823977846 and parameters: {'x': 1.0877372743905704, 'y': 2.273650413650829}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,433] Trial 111 finished with value: 8.919022535429784 and parameters: {'x': 2.95854396879389, 'y': 1.719039694018197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,434] Trial 112 finished with value: 7.3372819602724455 and parameters: {'x': 1.3623366154825576, 'y': 1.5554901490716264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,434] Trial 113 finished with value: 9.030101823932666 and parameters: {'x': 2.6595623168637306, 'y': 1.349405406692998}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,435] Trial 114 finished with value: 6.072245230822357 and parameters: {'x': 1.025040018500134, 'y': 1.4270855245256404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,436] Trial 115 finished with value: 7.427324175144104 and parameters: {'x': 1.5847021930614489, 'y': 1.388083865430075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,437] Trial 116 finished with value: 7.401331252563596 and parameters: {'x': 1.1720633580392537, 'y': 2.236009826109792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,438] Trial 117 finished with value: 7.707729664135554 and parameters: {'x': 1.6475738512480638, 'y': 1.7842152507174118}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,439] Trial 118 finished with value: 8.353403949911574 and parameters: {'x': 2.2922788419771853, 'y': 2.047108234443308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,440] Trial 119 finished with value: 7.901261536827631 and parameters: {'x': 2.0811791251484095, 'y': 1.5553480135828408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,441] Trial 120 finished with value: 7.929999755129986 and parameters: {'x': 2.1030085786156674, 'y': 1.6315349542573745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,441] Trial 121 finished with value: 9.288051746041393 and parameters: {'x': 2.249248175133083, 'y': 2.9212579305581805}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,442] Trial 122 finished with value: 9.073790993777054 and parameters: {'x': 2.556831585636369, 'y': 2.0192050725676203}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,443] Trial 123 finished with value: 6.1928075617926694 and parameters: {'x': 1.381008070971709, 'y': 1.127196872196507}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,444] Trial 124 finished with value: 10.156698962301324 and parameters: {'x': 2.984010254713117, 'y': 2.4756838541668325}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,445] Trial 125 finished with value: 9.874975505572541 and parameters: {'x': 2.48926356962497, 'y': 2.32310916596693}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,446] Trial 126 finished with value: 8.4403157532315 and parameters: {'x': 1.1674159135861502, 'y': 2.5243468662283424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,447] Trial 127 finished with value: 9.139515973359657 and parameters: {'x': 2.9124136588486005, 'y': 1.448544851596652}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,448] Trial 128 finished with value: 7.359019764415692 and parameters: {'x': 1.845559429941528, 'y': 1.3798715708393237}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,448] Trial 129 finished with value: 8.801406402850382 and parameters: {'x': 2.793280477391969, 'y': 2.0995429900681835}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,449] Trial 130 finished with value: 9.16027496754532 and parameters: {'x': 2.958814654897644, 'y': 1.4501058360334536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,450] Trial 131 finished with value: 9.043089465124277 and parameters: {'x': 2.5531846030820153, 'y': 1.394148666766868}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,451] Trial 132 finished with value: 7.606828759224673 and parameters: {'x': 1.628976929975279, 'y': 1.4619861318720995}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,452] Trial 133 finished with value: 9.070587375279917 and parameters: {'x': 1.419020074634894, 'y': 2.5430493560865637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,453] Trial 134 finished with value: 8.922647531691823 and parameters: {'x': 2.403540709078335, 'y': 1.5039144423310895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,454] Trial 135 finished with value: 7.967844530950847 and parameters: {'x': 1.8344664008911205, 'y': 2.2154175816586967}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,455] Trial 136 finished with value: 6.626032192071815 and parameters: {'x': 1.1376050758152119, 'y': 1.5572043930324122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,455] Trial 137 finished with value: 9.659594459444406 and parameters: {'x': 2.7866196797539673, 'y': 2.9979820048454564}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,456] Trial 138 finished with value: 6.347014296917756 and parameters: {'x': 1.1499787305081524, 'y': 1.4010452377707163}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,457] Trial 139 finished with value: 7.529375914538674 and parameters: {'x': 1.4493857009516564, 'y': 1.9428251265097687}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,458] Trial 140 finished with value: 8.81677041121904 and parameters: {'x': 1.3251875112150269, 'y': 2.9930602325129616}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,459] Trial 141 finished with value: 6.910809469825855 and parameters: {'x': 1.265056131105021, 'y': 2.0342370126064235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,460] Trial 142 finished with value: 8.270503495062389 and parameters: {'x': 1.6712378350511055, 'y': 2.2009435486868285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,461] Trial 143 finished with value: 7.452760285030202 and parameters: {'x': 1.3978757960635275, 'y': 1.5886968818444087}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,462] Trial 144 finished with value: 8.04404936965607 and parameters: {'x': 2.2430845548658915, 'y': 2.043992069057082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,462] Trial 145 finished with value: 9.037078848946711 and parameters: {'x': 2.541655139697369, 'y': 1.8839124502404339}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,463] Trial 146 finished with value: 6.982951805949881 and parameters: {'x': 1.781374575788557, 'y': 1.2651621081908913}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,464] Trial 147 finished with value: 9.20171480473229 and parameters: {'x': 1.6080598211760768, 'y': 2.9650186697000382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,465] Trial 148 finished with value: 6.452025938356062 and parameters: {'x': 1.1479419006340799, 'y': 1.4382449336931642}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,466] Trial 149 finished with value: 8.409147936673097 and parameters: {'x': 1.1982455088041204, 'y': 2.458225719447706}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,467] Trial 150 finished with value: 7.5725037722601485 and parameters: {'x': 1.9508953118972576, 'y': 1.6558619568319393}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,468] Trial 151 finished with value: 8.982528233453667 and parameters: {'x': 1.5525808084216455, 'y': 2.41293048193209}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,469] Trial 152 finished with value: 9.041991086654965 and parameters: {'x': 2.0937943692816763, 'y': 2.4277592159001715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,469] Trial 153 finished with value: 5.742279919822625 and parameters: {'x': 1.9597368328208227, 'y': 1.101870834317938}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,470] Trial 154 finished with value: 7.662524506220276 and parameters: {'x': 1.3428920411087246, 'y': 2.135148324498201}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,471] Trial 155 finished with value: 5.412915944788196 and parameters: {'x': 1.990908743954472, 'y': 1.0050198191556126}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,472] Trial 156 finished with value: 7.384637681531171 and parameters: {'x': 1.8039469768756087, 'y': 2.0905831063243143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,473] Trial 157 finished with value: 7.362225966959187 and parameters: {'x': 1.4451194939759322, 'y': 1.4525537484113495}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,474] Trial 158 finished with value: 10.222437021084144 and parameters: {'x': 2.6488242314394013, 'y': 2.433715704140214}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,475] Trial 159 finished with value: 6.896605385291597 and parameters: {'x': 1.027065396478891, 'y': 2.2375282061374557}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,476] Trial 160 finished with value: 9.070807682748207 and parameters: {'x': 2.965189425709962, 'y': 1.4068019970945893}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,477] Trial 161 finished with value: 8.24245966683869 and parameters: {'x': 2.4278280268516204, 'y': 1.1692189477956123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,477] Trial 162 finished with value: 5.673508204977029 and parameters: {'x': 1.0721727531477638, 'y': 2.0209882776353236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,478] Trial 163 finished with value: 6.685128269118291 and parameters: {'x': 1.0176360039225363, 'y': 2.210740833205314}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,479] Trial 164 finished with value: 7.608037762971426 and parameters: {'x': 1.871629158495657, 'y': 1.6523483721870136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,480] Trial 165 finished with value: 10.386096910354778 and parameters: {'x': 2.5895300471814746, 'y': 2.6305378593259974}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,481] Trial 166 finished with value: 7.40514642679503 and parameters: {'x': 1.7243774639538723, 'y': 1.9789454770033412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,482] Trial 167 finished with value: 9.33732591568054 and parameters: {'x': 2.1457972131567966, 'y': 2.666277852044355}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,483] Trial 168 finished with value: 7.517325492079699 and parameters: {'x': 1.5730197790114377, 'y': 1.436315023136025}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,484] Trial 169 finished with value: 8.954057110696501 and parameters: {'x': 2.565349052914175, 'y': 1.340767290504819}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,485] Trial 170 finished with value: 7.628363624986125 and parameters: {'x': 1.1240421322715355, 'y': 2.9812662390210587}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,485] Trial 171 finished with value: 7.895166227239825 and parameters: {'x': 2.097114156405027, 'y': 1.4841161709967734}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,486] Trial 172 finished with value: 9.650496346883967 and parameters: {'x': 2.878011320154017, 'y': 2.3083770732523208}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,487] Trial 173 finished with value: 10.179377446684578 and parameters: {'x': 2.5992281043426297, 'y': 2.960157496955233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,488] Trial 174 finished with value: 8.393777129433174 and parameters: {'x': 2.87864454294124, 'y': 1.239177096324707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,489] Trial 175 finished with value: 8.117760168554438 and parameters: {'x': 1.6390553207059786, 'y': 2.1544961862419205}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,490] Trial 176 finished with value: 7.780286127425217 and parameters: {'x': 1.9561316950363021, 'y': 2.2200267269991105}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,491] Trial 177 finished with value: 8.97783184216078 and parameters: {'x': 2.4029650756157688, 'y': 1.6597546371143177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,492] Trial 178 finished with value: 9.208872159188012 and parameters: {'x': 2.9549234687416903, 'y': 2.88628287561888}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,493] Trial 179 finished with value: 5.4049656445919965 and parameters: {'x': 1.011013356212266, 'y': 1.9578420384618553}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,493] Trial 180 finished with value: 9.12174191938108 and parameters: {'x': 2.3678749028786994, 'y': 2.17278483879681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,494] Trial 181 finished with value: 10.198826009408865 and parameters: {'x': 2.958641606176584, 'y': 2.5484903125582936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,495] Trial 182 finished with value: 7.6476415377950175 and parameters: {'x': 1.545998442266486, 'y': 1.9323981096163951}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,496] Trial 183 finished with value: 8.124489221721925 and parameters: {'x': 1.6758563638478126, 'y': 2.168679284141233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,497] Trial 184 finished with value: 7.64968413734136 and parameters: {'x': 2.209815005464777, 'y': 1.2569555742100504}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,498] Trial 185 finished with value: 7.803305947129413 and parameters: {'x': 2.0466239336984975, 'y': 1.5762074968179676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,499] Trial 186 finished with value: 8.05474377153569 and parameters: {'x': 2.1632397775778105, 'y': 1.6998366051182627}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,500] Trial 187 finished with value: 6.144941991306926 and parameters: {'x': 1.7747923908250454, 'y': 1.0826847582822892}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,500] Trial 188 finished with value: 6.2127589120851745 and parameters: {'x': 2.066909130422448, 'y': 1.1382530755142026}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,501] Trial 189 finished with value: 6.561669600397277 and parameters: {'x': 1.115901581604201, 'y': 1.629822531869676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,502] Trial 190 finished with value: 7.890219400244215 and parameters: {'x': 2.084328797212484, 'y': 1.5148949334884845}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,503] Trial 191 finished with value: 7.464114852010187 and parameters: {'x': 1.8892808907270018, 'y': 1.713626723491136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,504] Trial 192 finished with value: 7.156552221150989 and parameters: {'x': 1.786094779669809, 'y': 1.960800211946864}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,505] Trial 193 finished with value: 8.951979216755136 and parameters: {'x': 1.7413234774569297, 'y': 2.8444003260863475}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,506] Trial 194 finished with value: 8.613621999490935 and parameters: {'x': 2.277526156650702, 'y': 1.5896308935518735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,507] Trial 195 finished with value: 6.996158886658911 and parameters: {'x': 1.27798756081083, 'y': 1.8105280925644867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,508] Trial 196 finished with value: 8.611348223142354 and parameters: {'x': 2.780063608043692, 'y': 1.2470883370791117}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,508] Trial 197 finished with value: 6.030637405462642 and parameters: {'x': 1.3669459553065468, 'y': 1.0967663914722383}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,509] Trial 198 finished with value: 8.9651624986928 and parameters: {'x': 2.45114124303605, 'y': 1.8177367495614867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,510] Trial 199 finished with value: 8.915451335211346 and parameters: {'x': 2.335872085479096, 'y': 2.150144686924997}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,511] Trial 200 finished with value: 7.021661568826715 and parameters: {'x': 1.8602528352275918, 'y': 1.8654081939662959}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,512] Trial 201 finished with value: 9.769519658797082 and parameters: {'x': 2.7347930055246903, 'y': 2.281904221003719}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,513] Trial 202 finished with value: 4.469825231897417 and parameters: {'x': 1.1276709782028493, 'y': 1.076434141934986}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,514] Trial 203 finished with value: 10.239785901129567 and parameters: {'x': 2.5334930752056657, 'y': 2.8412627361168794}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,515] Trial 204 finished with value: 8.53553773386228 and parameters: {'x': 1.9038626907012923, 'y': 2.808230478175809}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,515] Trial 205 finished with value: 7.469472666097261 and parameters: {'x': 2.0627178614594097, 'y': 1.361793778177681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,516] Trial 206 finished with value: 6.667264537099793 and parameters: {'x': 1.155198996514189, 'y': 1.6725570179291875}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,517] Trial 207 finished with value: 9.076853313820374 and parameters: {'x': 1.8583070910014763, 'y': 2.575429422230293}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,518] Trial 208 finished with value: 7.763861642014163 and parameters: {'x': 1.3957039185663036, 'y': 2.115221306953389}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,519] Trial 209 finished with value: 7.931876268965578 and parameters: {'x': 1.0377878625094168, 'y': 2.7386171658588525}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,520] Trial 210 finished with value: 9.291572445362457 and parameters: {'x': 1.5225522661296755, 'y': 2.72999996019061}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,521] Trial 211 finished with value: 7.90789463480928 and parameters: {'x': 2.1580208652985027, 'y': 1.7481916178348185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,522] Trial 212 finished with value: 8.331075538821214 and parameters: {'x': 1.3086571202225628, 'y': 2.322867543653529}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,522] Trial 213 finished with value: 7.134902741194471 and parameters: {'x': 1.311339134694525, 'y': 1.8159808263688133}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,523] Trial 214 finished with value: 8.508767907255717 and parameters: {'x': 1.5328694871482778, 'y': 2.253473258892857}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,524] Trial 215 finished with value: 10.160814928725088 and parameters: {'x': 2.4340858563813637, 'y': 2.5328342880614736}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,525] Trial 216 finished with value: 7.520519248925659 and parameters: {'x': 2.8358217538122545, 'y': 1.0073602356390727}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,526] Trial 217 finished with value: 8.734898042294475 and parameters: {'x': 2.3976126842507304, 'y': 1.9818004671370137}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,527] Trial 218 finished with value: 9.212983735328182 and parameters: {'x': 2.5707009425331124, 'y': 1.510914137767352}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,528] Trial 219 finished with value: 7.630386114164498 and parameters: {'x': 2.290055224334804, 'y': 1.1542707595107782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,529] Trial 220 finished with value: 9.223023627226235 and parameters: {'x': 1.4874256907368923, 'y': 2.8243687678809852}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,530] Trial 221 finished with value: 6.491452216777805 and parameters: {'x': 2.178628325873583, 'y': 1.0417939251882566}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,531] Trial 222 finished with value: 8.964465884983193 and parameters: {'x': 2.435201368490529, 'y': 1.4774745015263917}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,531] Trial 223 finished with value: 9.787167605334385 and parameters: {'x': 2.5102236610164814, 'y': 2.280925654939244}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,532] Trial 224 finished with value: 10.263157219003295 and parameters: {'x': 2.4943112514176353, 'y': 2.7744643239933993}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,533] Trial 225 finished with value: 8.10062600422781 and parameters: {'x': 1.4212237274775974, 'y': 2.1854087410493284}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,534] Trial 226 finished with value: 7.400051605325441 and parameters: {'x': 1.3919703351200805, 'y': 1.549329359587792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,535] Trial 227 finished with value: 10.142835796284338 and parameters: {'x': 2.4810205514098005, 'y': 2.947362586144786}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,536] Trial 228 finished with value: 7.315275574586037 and parameters: {'x': 1.9544917597569376, 'y': 1.746454737362182}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,537] Trial 229 finished with value: 8.02264358861355 and parameters: {'x': 2.024667187134299, 'y': 2.9507638023385447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,538] Trial 230 finished with value: 7.650780229269962 and parameters: {'x': 1.5589595248514958, 'y': 1.8963027349856008}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,539] Trial 231 finished with value: 8.75642052006269 and parameters: {'x': 1.2578489085880764, 'y': 2.573495333602545}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,539] Trial 232 finished with value: 7.720926630613398 and parameters: {'x': 1.6683961727920873, 'y': 2.0584749448370667}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,540] Trial 233 finished with value: 10.111196291118265 and parameters: {'x': 2.388544278181339, 'y': 2.5758930870083345}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,541] Trial 234 finished with value: 8.999141681351706 and parameters: {'x': 1.3880499083930444, 'y': 2.9198551748985655}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,542] Trial 235 finished with value: 6.947255849127545 and parameters: {'x': 1.3017815054591813, 'y': 1.4239006206842184}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,543] Trial 236 finished with value: 8.093163601417645 and parameters: {'x': 1.022966381407082, 'y': 2.511672249150409}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,544] Trial 237 finished with value: 9.244523525498478 and parameters: {'x': 2.1309296907352304, 'y': 2.687476427568785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,545] Trial 238 finished with value: 7.404512967642068 and parameters: {'x': 1.325042353063805, 'y': 2.0888798280457053}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,546] Trial 239 finished with value: 8.276865554192819 and parameters: {'x': 2.184880893629826, 'y': 2.178955012453271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,546] Trial 240 finished with value: 9.001965784325948 and parameters: {'x': 2.6346136475206117, 'y': 1.9949438321654618}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,547] Trial 241 finished with value: 6.951984210410229 and parameters: {'x': 2.0125264882488345, 'y': 1.2811406982064169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,548] Trial 242 finished with value: 9.059296508005236 and parameters: {'x': 1.3974245366863893, 'y': 2.5622304428793035}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,549] Trial 243 finished with value: 8.206034009843497 and parameters: {'x': 2.9364115200634586, 'y': 1.883919482780143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,550] Trial 244 finished with value: 9.921919105284765 and parameters: {'x': 2.8470228282279604, 'y': 2.3680211380618044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,551] Trial 245 finished with value: 5.862369248339185 and parameters: {'x': 1.1142529535002255, 'y': 2.0076454952194416}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,552] Trial 246 finished with value: 7.481016763418873 and parameters: {'x': 2.0251579459513422, 'y': 1.7229460313825542}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,553] Trial 247 finished with value: 9.084504448433803 and parameters: {'x': 2.5598314697394455, 'y': 1.84622302020528}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,554] Trial 248 finished with value: 9.730779841830977 and parameters: {'x': 2.705026542530438, 'y': 2.261172872438412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,555] Trial 249 finished with value: 6.970087709999072 and parameters: {'x': 2.2056625156106104, 'y': 1.1199626417334956}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,555] Trial 250 finished with value: 8.953933738523933 and parameters: {'x': 2.702914966726759, 'y': 1.860231761427788}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,556] Trial 251 finished with value: 9.748424617891873 and parameters: {'x': 2.4667731201567493, 'y': 2.2888764660961294}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,557] Trial 252 finished with value: 9.167673651450142 and parameters: {'x': 2.072195797772089, 'y': 2.610655666055697}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,558] Trial 253 finished with value: 7.147031598038101 and parameters: {'x': 1.291699180736912, 'y': 1.7390061583839724}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,559] Trial 254 finished with value: 6.116670622794018 and parameters: {'x': 2.1301272592646647, 'y': 1.0347697813695165}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,560] Trial 255 finished with value: 8.208828599746406 and parameters: {'x': 2.2867287156201046, 'y': 1.9679983737249274}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,561] Trial 256 finished with value: 6.548620766445598 and parameters: {'x': 1.2044888856944802, 'y': 1.4005015727656103}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,562] Trial 257 finished with value: 10.31713510610331 and parameters: {'x': 2.612563047786084, 'y': 2.7704625571335404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,562] Trial 258 finished with value: 10.084552858039983 and parameters: {'x': 2.4972956483612614, 'y': 2.4135511676669017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,563] Trial 259 finished with value: 8.704815048381596 and parameters: {'x': 1.8348199894899018, 'y': 2.816913002698824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,564] Trial 260 finished with value: 9.909882350543576 and parameters: {'x': 2.782731419649844, 'y': 2.8262820425631365}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,565] Trial 261 finished with value: 5.976489893672717 and parameters: {'x': 1.7736308753893941, 'y': 1.020860693431882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,566] Trial 262 finished with value: 5.927980057999747 and parameters: {'x': 2.016682408877395, 'y': 1.121591782697312}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,567] Trial 263 finished with value: 8.858717705415632 and parameters: {'x': 1.5563968701377697, 'y': 2.3616592332265505}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,568] Trial 264 finished with value: 10.033313474090175 and parameters: {'x': 2.9006873116428213, 'y': 2.692515618646322}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,569] Trial 265 finished with value: 8.880528053164227 and parameters: {'x': 1.3391217993231546, 'y': 2.5119201657605466}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,570] Trial 266 finished with value: 6.512793795585026 and parameters: {'x': 1.0973914976258345, 'y': 1.598088367554651}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,570] Trial 267 finished with value: 10.133308161929415 and parameters: {'x': 2.4722329634215807, 'y': 2.9038913264736412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,571] Trial 268 finished with value: 9.009577894524508 and parameters: {'x': 2.848278275800719, 'y': 1.71975219955167}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,572] Trial 269 finished with value: 9.073466277909414 and parameters: {'x': 1.8477499271033209, 'y': 2.544824490259407}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,573] Trial 270 finished with value: 8.857712616202502 and parameters: {'x': 2.7763762931812623, 'y': 2.0978016101308743}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,574] Trial 271 finished with value: 8.336836626348964 and parameters: {'x': 2.3795700310590426, 'y': 1.2465209738223508}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,575] Trial 272 finished with value: 5.916158701235933 and parameters: {'x': 1.362378593042143, 'y': 1.0660251203586257}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,576] Trial 273 finished with value: 9.146929015217898 and parameters: {'x': 1.8033754828833874, 'y': 2.6047616206447453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,577] Trial 274 finished with value: 7.438775490254871 and parameters: {'x': 1.7578386164256896, 'y': 1.8327485767740324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,578] Trial 275 finished with value: 7.535911323474094 and parameters: {'x': 1.6806223274483807, 'y': 1.9795460472091044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,578] Trial 276 finished with value: 7.2692615352023005 and parameters: {'x': 1.3721922862035816, 'y': 1.4889755041007238}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,579] Trial 277 finished with value: 10.156213247691806 and parameters: {'x': 2.439013905615374, 'y': 2.798546701303678}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,580] Trial 278 finished with value: 7.594454224312965 and parameters: {'x': 1.7836186155171991, 'y': 1.7335789878704169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,581] Trial 279 finished with value: 9.692863147985143 and parameters: {'x': 2.830534386150495, 'y': 2.8448425756608664}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,582] Trial 280 finished with value: 10.354735182718246 and parameters: {'x': 2.654619006311158, 'y': 2.535702751682674}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,583] Trial 281 finished with value: 9.59974810128511 and parameters: {'x': 2.2129591988883632, 'y': 2.6594307933091414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,584] Trial 282 finished with value: 9.171231249430022 and parameters: {'x': 2.4126063326685623, 'y': 2.1477052796850047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,585] Trial 283 finished with value: 4.423097764063691 and parameters: {'x': 1.1136507650040754, 'y': 1.085185414659418}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,586] Trial 284 finished with value: 8.518116853818347 and parameters: {'x': 2.2714436670861144, 'y': 1.4799874049703434}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,586] Trial 285 finished with value: 6.308183889141347 and parameters: {'x': 1.1798253175175006, 'y': 1.358477133667177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,587] Trial 286 finished with value: 5.721946692056417 and parameters: {'x': 1.0636206120922096, 'y': 1.8733061965353646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,588] Trial 287 finished with value: 7.677943634548251 and parameters: {'x': 1.121973471590385, 'y': 2.9035790410998183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,589] Trial 288 finished with value: 9.151799227058577 and parameters: {'x': 2.6069182409954905, 'y': 1.7996328195485836}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,590] Trial 289 finished with value: 10.013127416178817 and parameters: {'x': 2.4167858431807874, 'y': 2.9164976263663602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,591] Trial 290 finished with value: 4.998303328378896 and parameters: {'x': 1.1542956742066215, 'y': 1.140781609596429}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,592] Trial 291 finished with value: 8.28114606706547 and parameters: {'x': 2.1879466071750313, 'y': 1.5581671187822235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,593] Trial 292 finished with value: 8.832524046610402 and parameters: {'x': 2.300366007103639, 'y': 2.16793189577589}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,594] Trial 293 finished with value: 5.711376066059369 and parameters: {'x': 1.094322932423767, 'y': 1.9411323943054628}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,594] Trial 294 finished with value: 7.760929512264443 and parameters: {'x': 2.071568489594031, 'y': 1.4523217653510414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,595] Trial 295 finished with value: 9.671827782479724 and parameters: {'x': 2.9922109078108097, 'y': 2.7826847496567426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,596] Trial 296 finished with value: 6.710962291458795 and parameters: {'x': 2.0479007588535945, 'y': 1.2261318608148313}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,597] Trial 297 finished with value: 9.202996753526495 and parameters: {'x': 2.8645562118427224, 'y': 1.6129257002416637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,598] Trial 298 finished with value: 5.60593399078077 and parameters: {'x': 1.0573022885455976, 'y': 1.3062488386606321}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,599] Trial 299 finished with value: 6.58244865409225 and parameters: {'x': 1.3655659763270604, 'y': 1.2432668725475122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,600] Trial 300 finished with value: 6.2066836519014394 and parameters: {'x': 1.331275367399907, 'y': 1.182084471528453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,601] Trial 301 finished with value: 8.984835506742034 and parameters: {'x': 2.0438870786774963, 'y': 2.6836625341675298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,602] Trial 302 finished with value: 9.135668282526662 and parameters: {'x': 1.6844674053929338, 'y': 2.482716416022635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,603] Trial 303 finished with value: 10.359646028416753 and parameters: {'x': 2.5754761557918533, 'y': 2.7198582320674056}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,603] Trial 304 finished with value: 7.361657153468046 and parameters: {'x': 1.3571872591947314, 'y': 1.75345728109374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,604] Trial 305 finished with value: 7.913504782012886 and parameters: {'x': 2.2567402470676416, 'y': 1.2652867032397062}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,605] Trial 306 finished with value: 9.347623407815192 and parameters: {'x': 2.1932762319899344, 'y': 2.7575887786576088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,606] Trial 307 finished with value: 6.238482058571574 and parameters: {'x': 1.398568508516686, 'y': 1.1219645882466098}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,607] Trial 308 finished with value: 9.255211632335527 and parameters: {'x': 2.1065275363082856, 'y': 2.623147599225602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,608] Trial 309 finished with value: 7.9259135284926625 and parameters: {'x': 2.401557205780505, 'y': 1.0884686415000555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,609] Trial 310 finished with value: 9.912652969472223 and parameters: {'x': 2.4927665585904117, 'y': 2.3362285111941388}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,610] Trial 311 finished with value: 7.9160816136541055 and parameters: {'x': 2.086039549812548, 'y': 1.5718753826147212}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,611] Trial 312 finished with value: 8.846211582353332 and parameters: {'x': 2.7946975959997085, 'y': 2.1111493443901646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,611] Trial 313 finished with value: 8.447724376654612 and parameters: {'x': 1.231940729779242, 'y': 2.4329241473881456}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,612] Trial 314 finished with value: 7.552500541854169 and parameters: {'x': 1.7919999988976703, 'y': 1.7463777927679258}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,613] Trial 315 finished with value: 9.218512393996935 and parameters: {'x': 1.5175664405513307, 'y': 2.924995588232765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,614] Trial 316 finished with value: 6.857585341545889 and parameters: {'x': 2.0710526351204024, 'y': 1.9257182649214797}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,615] Trial 317 finished with value: 6.2545662723315765 and parameters: {'x': 1.0302565320977815, 'y': 2.150580729287884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,616] Trial 318 finished with value: 7.983987219108325 and parameters: {'x': 2.4111627134494213, 'y': 1.0980217544085398}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,617] Trial 319 finished with value: 8.357108631911709 and parameters: {'x': 1.2100873805705843, 'y': 2.820830469555223}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,618] Trial 320 finished with value: 6.699130383291198 and parameters: {'x': 1.215682949072571, 'y': 2.0632357475823735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,619] Trial 321 finished with value: 8.948976386936518 and parameters: {'x': 1.331367634034851, 'y': 2.581299783112364}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,620] Trial 322 finished with value: 7.982138721518298 and parameters: {'x': 1.988398470351165, 'y': 2.945407386064451}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,620] Trial 323 finished with value: 9.745623933776441 and parameters: {'x': 2.30428299904322, 'y': 2.805664681125419}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,621] Trial 324 finished with value: 7.613461888965885 and parameters: {'x': 1.0069534961965363, 'y': 2.8127180219484327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,622] Trial 325 finished with value: 7.652181636405894 and parameters: {'x': 1.8566641006360123, 'y': 1.5309023468189245}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,623] Trial 326 finished with value: 9.162199390098213 and parameters: {'x': 2.9688223241275935, 'y': 2.8965908439695895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,624] Trial 327 finished with value: 8.603561199051127 and parameters: {'x': 2.101710342423472, 'y': 2.8472037870659075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,625] Trial 328 finished with value: 9.238104079329661 and parameters: {'x': 1.4645047073963369, 'y': 2.7201884102366276}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,626] Trial 329 finished with value: 9.2059890001439 and parameters: {'x': 1.5029492524669203, 'y': 2.570755821365006}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,627] Trial 330 finished with value: 8.662235215716079 and parameters: {'x': 1.9668160413505607, 'y': 2.7570260466308625}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,628] Trial 331 finished with value: 4.387601305751666 and parameters: {'x': 1.1063704438455368, 'y': 1.0869451970964539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,629] Trial 332 finished with value: 8.743504814708885 and parameters: {'x': 2.42920152555666, 'y': 1.3500254719172264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,629] Trial 333 finished with value: 7.474602128171121 and parameters: {'x': 1.152829659231377, 'y': 2.263024436911833}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,630] Trial 334 finished with value: 7.7139152591869955 and parameters: {'x': 2.083902436337981, 'y': 1.7042422360941185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,631] Trial 335 finished with value: 9.064165098697746 and parameters: {'x': 2.196396028837885, 'y': 2.868474069611013}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,632] Trial 336 finished with value: 7.526207724974352 and parameters: {'x': 1.748765975307913, 'y': 1.4175092102644002}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,633] Trial 337 finished with value: 8.87318611022771 and parameters: {'x': 1.4301086067741993, 'y': 2.4221290283239707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,634] Trial 338 finished with value: 7.437628554622544 and parameters: {'x': 1.5370848528034777, 'y': 1.4164035735238645}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,635] Trial 339 finished with value: 9.108528828823486 and parameters: {'x': 2.8221419136641974, 'y': 1.4137540686047536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,636] Trial 340 finished with value: 10.224469832486484 and parameters: {'x': 2.7627939976725715, 'y': 2.712650585544082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,637] Trial 341 finished with value: 9.157248639712966 and parameters: {'x': 1.621381698958753, 'y': 2.490024536343387}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,638] Trial 342 finished with value: 9.067096629559234 and parameters: {'x': 2.965909978088968, 'y': 2.9290256135131707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,638] Trial 343 finished with value: 8.20828834637247 and parameters: {'x': 2.551873644603601, 'y': 1.0660867667675091}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,639] Trial 344 finished with value: 7.619650128094548 and parameters: {'x': 2.0644661743154415, 'y': 1.4042470172553296}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,640] Trial 345 finished with value: 8.763579496092841 and parameters: {'x': 1.6545509357446349, 'y': 2.3265521680886843}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,641] Trial 346 finished with value: 10.329168526789621 and parameters: {'x': 2.644777207725301, 'y': 2.5097392192993073}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,642] Trial 347 finished with value: 6.209810066889293 and parameters: {'x': 1.794374892990855, 'y': 1.1141125151488116}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,643] Trial 348 finished with value: 7.984742852035451 and parameters: {'x': 1.092178496970699, 'y': 2.41579734736726}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,644] Trial 349 finished with value: 8.870990662413382 and parameters: {'x': 1.3414984313948313, 'y': 2.982007944245219}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,645] Trial 350 finished with value: 8.966183159301048 and parameters: {'x': 2.4075892104439074, 'y': 1.7079217481458522}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,646] Trial 351 finished with value: 7.656693888229608 and parameters: {'x': 1.8518279470371772, 'y': 1.6238590298596043}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,646] Trial 352 finished with value: 9.062458866554683 and parameters: {'x': 2.6177201797519714, 'y': 1.8642498769805247}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,647] Trial 353 finished with value: 9.018050055020714 and parameters: {'x': 2.4187002604843553, 'y': 1.6138392905141121}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,648] Trial 354 finished with value: 8.991109902167452 and parameters: {'x': 1.3703645448408575, 'y': 2.834356324376323}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,649] Trial 355 finished with value: 8.38152104519662 and parameters: {'x': 1.1555343303547916, 'y': 2.7006567266890333}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,650] Trial 356 finished with value: 6.212801250088436 and parameters: {'x': 1.1805670600758351, 'y': 1.3342035077899745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,651] Trial 357 finished with value: 7.941553127535705 and parameters: {'x': 2.7592288821782676, 'y': 1.0706680098479076}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,652] Trial 358 finished with value: 7.224303585235438 and parameters: {'x': 1.3045011153751436, 'y': 1.6118863229503622}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,653] Trial 359 finished with value: 8.44450330401257 and parameters: {'x': 2.2335451159558417, 'y': 1.628179759156297}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,654] Trial 360 finished with value: 7.044886595511825 and parameters: {'x': 1.9972271639585526, 'y': 1.3032450288065827}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,655] Trial 361 finished with value: 8.270774653868527 and parameters: {'x': 2.8974389690073172, 'y': 1.888026611242919}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,655] Trial 362 finished with value: 8.91666182979364 and parameters: {'x': 2.4368892491097727, 'y': 1.4377983452111882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,656] Trial 363 finished with value: 10.088239690096223 and parameters: {'x': 2.865870145047425, 'y': 2.4358911847461413}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,657] Trial 364 finished with value: 8.78965221877254 and parameters: {'x': 2.3358581438953543, 'y': 1.6618000006359324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,658] Trial 365 finished with value: 10.125686298125409 and parameters: {'x': 2.445415598969073, 'y': 2.84484078419461}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,659] Trial 366 finished with value: 7.343383611464031 and parameters: {'x': 1.7769158794075075, 'y': 2.0507637598350668}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,660] Trial 367 finished with value: 7.997988774164467 and parameters: {'x': 2.2356426584991205, 'y': 2.0451278303879987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,661] Trial 368 finished with value: 8.205247029616046 and parameters: {'x': 2.187146945707058, 'y': 1.4742898645858042}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,662] Trial 369 finished with value: 9.00406642736227 and parameters: {'x': 1.9929649460017025, 'y': 2.5078903999195608}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,663] Trial 370 finished with value: 5.226188688989737 and parameters: {'x': 1.0087444470767506, 'y': 1.2633840962145775}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,664] Trial 371 finished with value: 8.71485187368858 and parameters: {'x': 1.3079096308120766, 'y': 2.9738261872510607}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,664] Trial 372 finished with value: 9.216845434625913 and parameters: {'x': 1.508575392047343, 'y': 2.8773204260382386}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,665] Trial 373 finished with value: 9.17989793263459 and parameters: {'x': 2.8841994959270485, 'y': 1.621651975448489}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,666] Trial 374 finished with value: 8.98557586111079 and parameters: {'x': 2.500830384642061, 'y': 1.8944341497362096}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,667] Trial 375 finished with value: 9.303369240522263 and parameters: {'x': 1.5391501775074237, 'y': 2.711571907670349}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,668] Trial 376 finished with value: 8.750471615681288 and parameters: {'x': 1.4913406700000764, 'y': 2.341732508736907}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,669] Trial 377 finished with value: 7.227982143201142 and parameters: {'x': 1.3268853102432239, 'y': 1.7885289413291054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,670] Trial 378 finished with value: 10.023162229027282 and parameters: {'x': 2.396048090406278, 'y': 2.8314615713289455}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,670] Trial 379 finished with value: 6.092896856433121 and parameters: {'x': 1.7911165415621344, 'y': 1.08382619235308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,671] Trial 380 finished with value: 6.120317782062621 and parameters: {'x': 1.4032309691122884, 'y': 1.079894591239306}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,672] Trial 381 finished with value: 7.022502908484473 and parameters: {'x': 1.8824910993699955, 'y': 1.3033402032471397}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,673] Trial 382 finished with value: 7.652674431707082 and parameters: {'x': 1.8497308313116698, 'y': 1.6310518292420932}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,674] Trial 383 finished with value: 5.822719727358805 and parameters: {'x': 1.3215559497308957, 'y': 1.0981061820951246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,675] Trial 384 finished with value: 7.373644800992425 and parameters: {'x': 1.3940794368916745, 'y': 1.9120470222848358}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,676] Trial 385 finished with value: 5.481155598344511 and parameters: {'x': 1.9414607876752354, 'y': 1.0393575200952851}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,677] Trial 386 finished with value: 10.096454316474768 and parameters: {'x': 2.4543933766663644, 'y': 2.928712322892695}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,677] Trial 387 finished with value: 6.370030836329917 and parameters: {'x': 1.3548891051987708, 'y': 1.1986347193634166}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,678] Trial 388 finished with value: 8.509039975333158 and parameters: {'x': 2.322081543679178, 'y': 1.8428832782616735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,679] Trial 389 finished with value: 7.267810238351741 and parameters: {'x': 1.6160281384053163, 'y': 1.3184453833011878}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,680] Trial 390 finished with value: 5.601143816756288 and parameters: {'x': 1.0084796381477859, 'y': 1.8664753046910936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,681] Trial 391 finished with value: 9.279754455615958 and parameters: {'x': 2.873043369326268, 'y': 2.9390091395584017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,682] Trial 392 finished with value: 7.491358104879318 and parameters: {'x': 2.1375796868486256, 'y': 1.8391439039291715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,683] Trial 393 finished with value: 7.469105104664758 and parameters: {'x': 1.7923971939999055, 'y': 2.0989587544380424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,684] Trial 394 finished with value: 8.956798399528843 and parameters: {'x': 1.711999584921766, 'y': 2.9091711768326656}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,685] Trial 395 finished with value: 9.174547757972167 and parameters: {'x': 2.840890581133052, 'y': 1.4561757164149107}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,686] Trial 396 finished with value: 7.851700424065141 and parameters: {'x': 1.7113279109352795, 'y': 2.123481419395448}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,686] Trial 397 finished with value: 7.750692605356102 and parameters: {'x': 1.6902889832813934, 'y': 1.5623461183014966}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,687] Trial 398 finished with value: 8.755451855147848 and parameters: {'x': 2.911761337310541, 'y': 1.3197890733099533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,688] Trial 399 finished with value: 10.268295211866295 and parameters: {'x': 2.476466615710587, 'y': 2.7332328340294563}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,689] Trial 400 finished with value: 6.417574443703831 and parameters: {'x': 2.177474958724643, 'y': 1.005653626481327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,690] Trial 401 finished with value: 7.668896523263015 and parameters: {'x': 1.644378784575017, 'y': 1.4968063585350646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,691] Trial 402 finished with value: 8.19298658310015 and parameters: {'x': 2.431289201640437, 'y': 1.149653767432715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,692] Trial 403 finished with value: 8.97130164568623 and parameters: {'x': 2.0238418672969654, 'y': 2.464378965120093}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,693] Trial 404 finished with value: 9.9498222644883 and parameters: {'x': 2.888144037415016, 'y': 2.3893540652536975}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,694] Trial 405 finished with value: 8.946878681936214 and parameters: {'x': 2.4819106838477336, 'y': 1.9690251042928717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,695] Trial 406 finished with value: 9.2775145368802 and parameters: {'x': 1.6086848468720156, 'y': 2.7757886297325713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,696] Trial 407 finished with value: 6.0398599077263455 and parameters: {'x': 1.0094173253653007, 'y': 2.126016301637884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,696] Trial 408 finished with value: 7.172267725737418 and parameters: {'x': 1.8647089587091887, 'y': 2.0967083242682962}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,697] Trial 409 finished with value: 10.06942366313142 and parameters: {'x': 2.368979331565893, 'y': 2.7081400803511215}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,698] Trial 410 finished with value: 6.13664299399473 and parameters: {'x': 1.0540333265179518, 'y': 1.4282302453602083}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,699] Trial 411 finished with value: 7.308753587807553 and parameters: {'x': 1.330671073227345, 'y': 1.6984403303355533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,700] Trial 412 finished with value: 6.767207011793218 and parameters: {'x': 1.206523047230095, 'y': 1.7496095327225718}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,701] Trial 413 finished with value: 8.92360731321179 and parameters: {'x': 1.3945161668885826, 'y': 2.4748484732751246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,702] Trial 414 finished with value: 6.680035661311976 and parameters: {'x': 1.9976931371083386, 'y': 2.0379928984768765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,703] Trial 415 finished with value: 7.414252441736993 and parameters: {'x': 1.534572725393671, 'y': 1.4067465865126285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,704] Trial 416 finished with value: 8.9996012583928 and parameters: {'x': 2.585170495454305, 'y': 1.3532149268593918}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,704] Trial 417 finished with value: 9.90548167086543 and parameters: {'x': 2.3399565787146277, 'y': 2.787020230782926}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,705] Trial 418 finished with value: 7.691607288024512 and parameters: {'x': 1.1359010765855024, 'y': 2.9686284408298524}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,706] Trial 419 finished with value: 9.796735720491617 and parameters: {'x': 2.820579493870747, 'y': 2.823207076944582}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,707] Trial 420 finished with value: 6.260789565502911 and parameters: {'x': 1.81156678146324, 'y': 1.1360440007461408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,708] Trial 421 finished with value: 9.21860388769146 and parameters: {'x': 2.4250417759272396, 'y': 2.151886634469717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,709] Trial 422 finished with value: 9.088805627236487 and parameters: {'x': 2.4946484937597644, 'y': 1.489491780477701}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,710] Trial 423 finished with value: 6.226677245473308 and parameters: {'x': 1.1477089283401192, 'y': 2.056377420203176}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,711] Trial 424 finished with value: 8.483973107680615 and parameters: {'x': 2.3302930707241654, 'y': 1.8862617093564347}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,712] Trial 425 finished with value: 10.189866481093429 and parameters: {'x': 2.8205578954962713, 'y': 2.6743642252871402}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,713] Trial 426 finished with value: 4.266283468162449 and parameters: {'x': 1.128574522835871, 'y': 1.0186489038456865}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,714] Trial 427 finished with value: 8.788669762186533 and parameters: {'x': 1.3313453765359875, 'y': 2.4692989209762657}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,715] Trial 428 finished with value: 9.897316989347988 and parameters: {'x': 2.379633485342911, 'y': 2.9387309613275088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,716] Trial 429 finished with value: 7.733897179743261 and parameters: {'x': 2.3548144243288824, 'y': 1.0883146783356357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,717] Trial 430 finished with value: 9.770730743480064 and parameters: {'x': 2.34392440316154, 'y': 2.9737399239212152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,718] Trial 431 finished with value: 6.651404870689522 and parameters: {'x': 1.2401114796732557, 'y': 1.9103876401791673}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,719] Trial 432 finished with value: 8.624387367423939 and parameters: {'x': 2.343842819069655, 'y': 1.402892703320057}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,720] Trial 433 finished with value: 7.319391065120538 and parameters: {'x': 1.3369742062000984, 'y': 1.7193648999124012}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,721] Trial 434 finished with value: 8.63207059410576 and parameters: {'x': 1.568076793133939, 'y': 2.284355408978114}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,722] Trial 435 finished with value: 6.170131843245223 and parameters: {'x': 1.0418953375485036, 'y': 2.135054245104543}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,723] Trial 436 finished with value: 10.369997992085416 and parameters: {'x': 2.61908092246873, 'y': 2.7087079857491236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,724] Trial 437 finished with value: 8.214286391310745 and parameters: {'x': 2.1802285557954493, 'y': 1.6466895137837072}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,725] Trial 438 finished with value: 6.5325083151338745 and parameters: {'x': 1.301511960988448, 'y': 1.2904075186733923}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,726] Trial 439 finished with value: 7.81961102131716 and parameters: {'x': 1.951071480713511, 'y': 2.225511766887371}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,727] Trial 440 finished with value: 8.789791847209642 and parameters: {'x': 1.752568510864902, 'y': 2.9694528025425426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,728] Trial 441 finished with value: 8.845951391776083 and parameters: {'x': 2.9348530597453095, 'y': 1.7386220876900822}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,728] Trial 442 finished with value: 6.8313562893640825 and parameters: {'x': 1.1584195744800634, 'y': 2.1553107291156395}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,729] Trial 443 finished with value: 8.282440802944908 and parameters: {'x': 2.084635187581866, 'y': 2.9245462877708213}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,730] Trial 444 finished with value: 8.144098982016738 and parameters: {'x': 2.170455647030789, 'y': 1.6684600849133298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,731] Trial 445 finished with value: 9.296643075908719 and parameters: {'x': 2.615662796561897, 'y': 1.6100294259063987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,732] Trial 446 finished with value: 9.19390522333622 and parameters: {'x': 2.710246886375865, 'y': 2.130858864690644}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,733] Trial 447 finished with value: 7.531965885725688 and parameters: {'x': 1.9211051500257048, 'y': 1.6758861594909447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,734] Trial 448 finished with value: 7.331382168303733 and parameters: {'x': 1.67953723621456, 'y': 1.3365870657098382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,735] Trial 449 finished with value: 9.116973692268562 and parameters: {'x': 1.820991457831393, 'y': 2.567164362724064}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,736] Trial 450 finished with value: 7.53338235239057 and parameters: {'x': 1.9203094803694931, 'y': 2.1793049604401054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,737] Trial 451 finished with value: 9.224526595418926 and parameters: {'x': 2.9455951435052024, 'y': 1.5139853696768606}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,738] Trial 452 finished with value: 9.223170573081077 and parameters: {'x': 2.8334166644240124, 'y': 2.20836504015143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,739] Trial 453 finished with value: 6.999654263756282 and parameters: {'x': 2.1589629880195247, 'y': 1.1846411930598055}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,740] Trial 454 finished with value: 9.474341672965183 and parameters: {'x': 2.3580782494123866, 'y': 2.279417077265129}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,741] Trial 455 finished with value: 9.253298623237097 and parameters: {'x': 2.253015026281642, 'y': 2.3185464367108874}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,742] Trial 456 finished with value: 8.602639781988247 and parameters: {'x': 2.275602548119463, 'y': 1.624827040663725}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,743] Trial 457 finished with value: 7.068551848614295 and parameters: {'x': 1.2603772254821308, 'y': 1.5837727142113327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,744] Trial 458 finished with value: 7.263162553099972 and parameters: {'x': 1.5488473138379997, 'y': 1.3364308979656776}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,745] Trial 459 finished with value: 5.765175900097962 and parameters: {'x': 1.1229934553422611, 'y': 1.2923904534654271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,746] Trial 460 finished with value: 8.572357997524358 and parameters: {'x': 1.257217475209221, 'y': 2.8270229736591785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,746] Trial 461 finished with value: 7.415567768970856 and parameters: {'x': 1.7180858011424407, 'y': 1.934051058822824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,747] Trial 462 finished with value: 9.803728923767403 and parameters: {'x': 2.5377612159072194, 'y': 2.2768073417972357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,748] Trial 463 finished with value: 9.955064351324634 and parameters: {'x': 2.3275460896894495, 'y': 2.5531141437345415}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,749] Trial 464 finished with value: 5.517910246875086 and parameters: {'x': 1.2201709091358888, 'y': 1.1594546254794982}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,750] Trial 465 finished with value: 8.061151142105938 and parameters: {'x': 2.024787757538992, 'y': 2.9274920965050972}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,751] Trial 466 finished with value: 9.397189288983204 and parameters: {'x': 2.1515716756798198, 'y': 2.5306991635013265}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,752] Trial 467 finished with value: 5.985517249850933 and parameters: {'x': 1.3849905711991588, 'y': 1.055927677523281}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,753] Trial 468 finished with value: 9.097225643154763 and parameters: {'x': 1.4351199031730522, 'y': 2.5454135155465614}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,754] Trial 469 finished with value: 7.349261704988377 and parameters: {'x': 1.35346191711857, 'y': 1.7546081296735883}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,755] Trial 470 finished with value: 9.272408270563856 and parameters: {'x': 2.875235831831837, 'y': 2.938171401114677}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,756] Trial 471 finished with value: 8.069162624819043 and parameters: {'x': 2.9184584255922643, 'y': 1.94201393085539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,757] Trial 472 finished with value: 8.81761865638411 and parameters: {'x': 2.4089709739522425, 'y': 1.8531264383292128}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,758] Trial 473 finished with value: 8.035542180154685 and parameters: {'x': 1.3427513767860373, 'y': 2.222036587264789}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,759] Trial 474 finished with value: 9.231385190851347 and parameters: {'x': 1.6136788146729355, 'y': 2.5427165815495023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,761] Trial 475 finished with value: 8.079791775891733 and parameters: {'x': 1.9125417091420505, 'y': 2.974755165461713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,762] Trial 476 finished with value: 8.341523743372877 and parameters: {'x': 2.5162039041844384, 'y': 1.1370628964009615}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,762] Trial 477 finished with value: 8.111643884158484 and parameters: {'x': 2.4774050077230263, 'y': 1.0731466336537492}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,763] Trial 478 finished with value: 7.5399208344987585 and parameters: {'x': 2.8345234456844723, 'y': 1.0193880363125856}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,764] Trial 479 finished with value: 4.433360827827819 and parameters: {'x': 1.0737285407959989, 'y': 1.1240856472950298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,765] Trial 480 finished with value: 6.96592599656371 and parameters: {'x': 1.917376657427001, 'y': 1.2967197922321945}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,766] Trial 481 finished with value: 6.482139651511581 and parameters: {'x': 1.0444818819023245, 'y': 2.176468521442921}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,767] Trial 482 finished with value: 9.11485254373537 and parameters: {'x': 2.048580208536864, 'y': 2.6071264572872}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,768] Trial 483 finished with value: 5.431608150828463 and parameters: {'x': 1.1894684017034052, 'y': 1.1771668066738374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,768] Trial 484 finished with value: 9.916633525227567 and parameters: {'x': 2.3771078699084693, 'y': 2.9920290455237555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,769] Trial 485 finished with value: 8.672783876245514 and parameters: {'x': 2.986832268951524, 'y': 1.2963533246316374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,770] Trial 486 finished with value: 8.304980857866417 and parameters: {'x': 1.8838423536074562, 'y': 2.293381683328426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,771] Trial 487 finished with value: 8.312468549380213 and parameters: {'x': 2.605279862637339, 'y': 1.104352806033127}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,772] Trial 488 finished with value: 5.853085423960124 and parameters: {'x': 1.8449842618430872, 'y': 1.072398768972538}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,773] Trial 489 finished with value: 10.386651371749663 and parameters: {'x': 2.6310189414260505, 'y': 2.6738996139987643}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,774] Trial 490 finished with value: 8.745469373890751 and parameters: {'x': 2.8645250632754204, 'y': 1.308649034603559}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,775] Trial 491 finished with value: 9.203342174566815 and parameters: {'x': 2.2366663140241325, 'y': 2.3220086289326023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,776] Trial 492 finished with value: 7.620833240361959 and parameters: {'x': 1.7828303566350192, 'y': 1.4731366108109194}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,777] Trial 493 finished with value: 6.443411611560421 and parameters: {'x': 1.087773688862931, 'y': 1.5288574048348782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,778] Trial 494 finished with value: 9.289432601334944 and parameters: {'x': 1.6649581758396033, 'y': 2.6842053451927765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,779] Trial 495 finished with value: 5.398308960090418 and parameters: {'x': 1.0066322310308962, 'y': 1.9593038112676802}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,780] Trial 496 finished with value: 7.862686650656634 and parameters: {'x': 2.8254045010036575, 'y': 1.112352158376197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,781] Trial 497 finished with value: 7.9200738443641665 and parameters: {'x': 2.408098570015621, 'y': 1.0761987677246792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,782] Trial 498 finished with value: 6.712922715771459 and parameters: {'x': 1.2761302578999503, 'y': 1.3688914376676131}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,783] Trial 499 finished with value: 10.186262582979126 and parameters: {'x': 2.4800498669245994, 'y': 2.842080919283535}. Best is trial 100 with value: 4.045505869420193.\n\u001b[2Kreading sources... [ 77%] reference/visualization/generated/optuna.visualization.matplotlib.plot_edf\n<string>:32: ExperimentalWarning:\n\nplot_edf is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:38,952] A new study created in memory with name: no-name-8833f3dc-1c26-49e9-9a26-7490e72acf32\n[I 2023-11-01 05:12:38,954] Trial 0 finished with values: [45.169714494977704, 15.12964570386523] and parameters: {'x': 2.87268143369479, 'y': 1.7435968582931298}. \n[I 2023-11-01 05:12:38,955] Trial 1 finished with values: [25.756908679676474, 27.05422025044104] and parameters: {'x': 2.4992586011908817, 'y': 0.43924209075692544}. \n[I 2023-11-01 05:12:38,955] Trial 2 finished with values: [103.50685066515666, 10.652571491096431] and parameters: {'x': 4.7787329573988995, 'y': 1.7436811601203739}. \n[I 2023-11-01 05:12:38,956] Trial 3 finished with values: [5.0551778484035355, 38.09863220323756] and parameters: {'x': 1.1038964055022142, 'y': 0.2126198203841182}. \n[I 2023-11-01 05:12:38,957] Trial 4 finished with values: [25.489054886577904, 21.03635260504048] and parameters: {'x': 2.0208926331862624, 'y': 1.5126984784741373}. \n[I 2023-11-01 05:12:38,958] Trial 5 finished with values: [30.760331988405333, 18.555477951978453] and parameters: {'x': 2.084198752115023, 'y': 1.8292617523972654}. \n[I 2023-11-01 05:12:38,959] Trial 6 finished with values: [83.53284869941609, 7.609261324346403] and parameters: {'x': 3.8214390927150257, 'y': 2.5059559923357364}. \n[I 2023-11-01 05:12:38,959] Trial 7 finished with values: [99.25143250560672, 5.070146281984628] and parameters: {'x': 3.9834363323647333, 'y': 2.990834852076972}. \n[I 2023-11-01 05:12:38,960] Trial 8 finished with values: [52.861786177022765, 12.217180819367897] and parameters: {'x': 2.2248509771985967, 'y': 2.8749755952901825}. \n[I 2023-11-01 05:12:38,961] Trial 9 finished with values: [64.09057746529551, 18.36553811264758] and parameters: {'x': 3.9103770774964994, 'y': 0.8553335478711305}. \n[I 2023-11-01 05:12:38,962] Trial 10 finished with values: [67.05225399048057, 9.237453297656703] and parameters: {'x': 3.205737907266357, 'y': 2.5468231127299865}. \n[I 2023-11-01 05:12:38,962] Trial 11 finished with values: [12.537866904627666, 29.070917298649455] and parameters: {'x': 0.8573489944489909, 'y': 1.5490059483017555}. \n[I 2023-11-01 05:12:38,963] Trial 12 finished with values: [12.185693729427843, 35.05095101333054] and parameters: {'x': 1.7445334372415071, 'y': 0.055013804661135146}. \n[I 2023-11-01 05:12:38,964] Trial 13 finished with values: [37.53226783998646, 20.08778827671165] and parameters: {'x': 2.8764854722479622, 'y': 1.0530423960805346}. \n[I 2023-11-01 05:12:38,965] Trial 14 finished with values: [89.58030061684133, 24.30314130344373] and parameters: {'x': 4.7317091357474865, 'y': 0.07748424932917353}. \n[I 2023-11-01 05:12:38,966] Trial 15 finished with values: [21.217084746220912, 22.756769769016245] and parameters: {'x': 1.6889053233212414, 'y': 1.5658448184326572}. \n[I 2023-11-01 05:12:38,967] Trial 16 finished with values: [21.268481870276993, 27.818860891853255] and parameters: {'x': 0.4984573127358938, 'y': 2.251368644835705}. \n[I 2023-11-01 05:12:38,967] Trial 17 finished with values: [79.19242506640799, 15.460313760877442] and parameters: {'x': 4.303572926173037, 'y': 1.130206324399419}. \n[I 2023-11-01 05:12:38,968] Trial 18 finished with values: [86.80687270567977, 6.072458167982788] and parameters: {'x': 3.569316548380451, 'y': 2.9936094524632644}. \n[I 2023-11-01 05:12:38,969] Trial 19 finished with values: [12.178891426504924, 30.58238147477038] and parameters: {'x': 1.6339687867423773, 'y': 0.6122653514432075}. \n[I 2023-11-01 05:12:38,970] Trial 20 finished with values: [0.31733143609192993, 46.41118035498498] and parameters: {'x': 0.2610482880615811, 'y': 0.1057669623422185}. \n[I 2023-11-01 05:12:38,971] Trial 21 finished with values: [29.12724660794914, 25.66308022659677] and parameters: {'x': 2.6493678435637236, 'y': 0.5125052989753277}. \n[I 2023-11-01 05:12:38,971] Trial 22 finished with values: [27.71284889052088, 19.733266274039757] and parameters: {'x': 1.785949594086567, 'y': 1.9335450007724793}. \n[I 2023-11-01 05:12:38,972] Trial 23 finished with values: [42.26050439559807, 15.1538112886538] and parameters: {'x': 1.914062910984028, 'y': 2.6270685700405436}. \n[I 2023-11-01 05:12:38,973] Trial 24 finished with values: [11.685939166937462, 34.072099142537425] and parameters: {'x': 0.18583591848043368, 'y': 1.6991026464392607}. \n[I 2023-11-01 05:12:38,974] Trial 25 finished with values: [107.61507154766356, 9.657541461868542] and parameters: {'x': 4.827489304446254, 'y': 1.8971333380584807}. \n[I 2023-11-01 05:12:38,974] Trial 26 finished with values: [5.471051905646751, 36.332834597658824] and parameters: {'x': 0.4071324177417063, 'y': 1.0963604201335801}. \n[I 2023-11-01 05:12:38,975] Trial 27 finished with values: [48.323062843851, 13.760046306648343] and parameters: {'x': 1.9653109474965929, 'y': 2.866760992934848}. \n[I 2023-11-01 05:12:38,976] Trial 28 finished with values: [97.78306024686843, 8.264112851172344] and parameters: {'x': 4.43729128252227, 'y': 2.1808739385322067}. \n[I 2023-11-01 05:12:38,977] Trial 29 finished with values: [12.671207185480704, 28.338786073532916] and parameters: {'x': 1.4480926109809744, 'y': 1.0348089613027518}. \n[I 2023-11-01 05:12:38,978] Trial 30 finished with values: [10.715506105265804, 35.44259245743667] and parameters: {'x': 0.08934119944939756, 'y': 1.6342872074385806}. \n[I 2023-11-01 05:12:38,979] Trial 31 finished with values: [97.31597313137043, 20.034492946785242] and parameters: {'x': 4.904420138176154, 'y': 0.5250298954295823}. \n[I 2023-11-01 05:12:38,979] Trial 32 finished with values: [24.41585046306151, 31.238978644516873] and parameters: {'x': 2.4705685287110937, 'y': 0.015929868413756543}. \n[I 2023-11-01 05:12:38,980] Trial 33 finished with values: [61.96384115960081, 14.844117103777208] and parameters: {'x': 3.6867785296405082, 'y': 1.3779057889717912}. \n[I 2023-11-01 05:12:38,981] Trial 34 finished with values: [27.985142683651848, 19.681077604768692] and parameters: {'x': 1.7350662836713826, 'y': 1.9964545229430444}. \n[I 2023-11-01 05:12:38,982] Trial 35 finished with values: [27.549943900653666, 20.283414371319545] and parameters: {'x': 1.5234498636158744, 'y': 2.136957296768513}. \n[I 2023-11-01 05:12:38,983] Trial 36 finished with values: [96.92311728760029, 7.088898418737329] and parameters: {'x': 4.276501045845978, 'y': 2.4376870444702963}. \n[I 2023-11-01 05:12:38,983] Trial 37 finished with values: [84.26060485678735, 13.08689659658139] and parameters: {'x': 4.357981127439276, 'y': 1.4398443343222693}. \n[I 2023-11-01 05:12:38,984] Trial 38 finished with values: [43.53533747358643, 25.300589136160774] and parameters: {'x': 3.2879693503592957, 'y': 0.27035517286428745}. \n[I 2023-11-01 05:12:38,985] Trial 39 finished with values: [87.21032061847414, 8.624880916558988] and parameters: {'x': 4.119476381171593, 'y': 2.198293542634362}. \n[I 2023-11-01 05:12:38,986] Trial 40 finished with values: [95.98013440846314, 23.503814925223914] and parameters: {'x': 4.8960813095452975, 'y': 0.15304055814389017}. \n[I 2023-11-01 05:12:38,987] Trial 41 finished with values: [69.65880479127154, 8.576059590175069] and parameters: {'x': 3.170812471257705, 'y': 2.7130516895065764}. \n[I 2023-11-01 05:12:38,987] Trial 42 finished with values: [36.15153299844577, 23.92899018091817] and parameters: {'x': 2.954342352795779, 'y': 0.5565469540735479}. \n[I 2023-11-01 05:12:38,988] Trial 43 finished with values: [0.3071352207214981, 46.18205167383906] and parameters: {'x': 0.17306735062849743, 'y': 0.21640586250563376}. \n[I 2023-11-01 05:12:38,989] Trial 44 finished with values: [26.655105636963388, 28.532610441377546] and parameters: {'x': 2.569950733404562, 'y': 0.24316586338176804}. \n[I 2023-11-01 05:12:38,990] Trial 45 finished with values: [33.71058820769623, 25.358300679722348] and parameters: {'x': 2.8699661275903505, 'y': 0.43696850962982037}. \n[I 2023-11-01 05:12:38,991] Trial 46 finished with values: [80.52426625739427, 7.043331749855067] and parameters: {'x': 3.4940594833971566, 'y': 2.8147139980521936}. \n[I 2023-11-01 05:12:38,991] Trial 47 finished with values: [105.7734588735897, 5.829325487331052] and parameters: {'x': 4.400084511344986, 'y': 2.6613194117616517}. \n[I 2023-11-01 05:12:38,992] Trial 48 finished with values: [75.96202203991298, 9.322021693038508] and parameters: {'x': 3.7544189070792866, 'y': 2.2124294746146873}. \n[I 2023-11-01 05:12:38,993] Trial 49 finished with values: [124.32724971748883, 4.989596953438197] and parameters: {'x': 4.837007535994343, 'y': 2.772214011599058}. \n\u001b[2Kreading sources... [ 77%] reference/visualization/generated/optuna.visualization.matplotlib.plot_hypervolume_history\n<string>:18: ExperimentalWarning:\n\nplot_hypervolume_history is experimental (supported from v3.3.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:39,659] A new study created in memory with name: no-name-7c61dabd-4780-440a-8b1a-5d697f088dfe\n[I 2023-11-01 05:12:39,663] Trial 0 finished with value: 0.0019136820148431557 and parameters: {'lr': 0.012169775677700537}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:12:39,667] Trial 1 finished with value: 0.9938688492959205 and parameters: {'lr': 1.2106198691436028e-05}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:12:39,671] Trial 2 finished with value: 0.1745378429868226 and parameters: {'lr': 0.0034244666391252923}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:12:39,675] Trial 3 finished with value: 0.006252957628893589 and parameters: {'lr': 0.009890438121030055}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:12:39,678] Trial 4 finished with value: 0.6055868994372475 and parameters: {'lr': 0.0009863431872330064}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:12:39,679] Trial 5 pruned. \n[I 2023-11-01 05:12:39,681] Trial 6 pruned. \n[I 2023-11-01 05:12:39,708] Trial 7 finished with value: 0.00348251977331975 and parameters: {'lr': 0.011018509458263562}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:12:39,709] Trial 8 pruned. \n[I 2023-11-01 05:12:39,710] Trial 9 pruned. \n[I 2023-11-01 05:12:39,744] Trial 10 finished with value: 2.8413318183320897e-13 and parameters: {'lr': 0.053753912442422704}. Best is trial 10 with value: 2.8413318183320897e-13.\n[I 2023-11-01 05:12:39,777] Trial 11 finished with value: 3.23351297854631e-20 and parameters: {'lr': 0.08097836606986637}. Best is trial 11 with value: 3.23351297854631e-20.\n[I 2023-11-01 05:12:39,811] Trial 12 finished with value: 1.5818620680169856e-23 and parameters: {'lr': 0.09336678872953223}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:12:39,844] Trial 13 finished with value: 8.701934191941001e-16 and parameters: {'lr': 0.06380854538856418}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:12:39,878] Trial 14 finished with value: 1.3380099081736585e-15 and parameters: {'lr': 0.0630691017367573}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:12:39,912] Trial 15 finished with value: 1.380974859858719e-22 and parameters: {'lr': 0.08988313704170887}. Best is trial 12 with value: 1.5818620680169856e-23.\n\u001b[2Kreading sources... [ 78%] reference/visualization/generated/optuna.visualization.matplotlib.plot_intermediate_values\n<string>:33: ExperimentalWarning:\n\nplot_intermediate_values is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:40,274] A new study created in memory with name: no-name-31ce7d4c-cfc9-4d3c-8317-3ae77dbf05c1\n[I 2023-11-01 05:12:40,275] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:12:40,276] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,277] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,278] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,279] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,280] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,280] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,281] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,282] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,283] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 78%] reference/visualization/generated/optuna.visualization.matplotlib.plot_optimization_history\n<string>:14: ExperimentalWarning:\n\nplot_optimization_history is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:40,531] A new study created in memory with name: no-name-5121bb6e-aea5-49a3-9198-1021465b7311\n[I 2023-11-01 05:12:40,532] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:12:40,533] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,534] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,534] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,535] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,536] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,537] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,538] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,538] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,539] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 79%] reference/visualization/generated/optuna.visualization.matplotlib.plot_parallel_coordinate\n<string>:13: ExperimentalWarning:\n\nplot_parallel_coordinate is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:40,796] A new study created in memory with name: no-name-07b413f8-fa04-4a58-be41-193b1ae6ac71\n[I 2023-11-01 05:12:40,798] Trial 0 finished with value: 2.303288077753039 and parameters: {'x': 2, 'y': -0.958496101281197, 'z': 0.9504723523894132}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:12:40,799] Trial 1 finished with value: 3.987072181809778 and parameters: {'x': 2, 'y': -0.0029859753948191514, 'z': 0.3371949682962715}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:12:40,800] Trial 2 finished with value: 0.1373303052750334 and parameters: {'x': 0, 'y': 0.5210614243979175, 'z': 0.2536662548438032}. Best is trial 2 with value: 0.1373303052750334.\n[I 2023-11-01 05:12:40,801] Trial 3 finished with value: -4.131719919585369 and parameters: {'x': 0, 'y': 0.3707196367355945, 'z': 1.4300900192924049}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,802] Trial 4 finished with value: -2.2075688995928044 and parameters: {'x': 0, 'y': 0.024384526771553228, 'z': 1.2189314424781703}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,803] Trial 5 finished with value: 1.0504976105266983 and parameters: {'x': 1, 'y': 0.4435106348635991, 'z': 0.43781410225594974}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,804] Trial 6 finished with value: 3.6403994820820413 and parameters: {'x': 2, 'y': 0.42915156679538113, 'z': 0.8138165520168918}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,805] Trial 7 finished with value: -1.0618155340386866 and parameters: {'x': 0, 'y': -0.2533184798970616, 'z': 1.011200422599518}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,805] Trial 8 finished with value: 0.26036828149432933 and parameters: {'x': 1, 'y': -0.13197201333341257, 'z': 0.9266504677039757}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,806] Trial 9 finished with value: 0.3665588473301721 and parameters: {'x': 1, 'y': 0.30079436386293446, 'z': 0.9015584301068166}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,807] Trial 10 finished with value: 0.5490457030167408 and parameters: {'x': 2, 'y': 0.043294304787268256, 'z': 1.3629733212130024}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,808] Trial 11 finished with value: -0.5909072245888702 and parameters: {'x': 0, 'y': -0.8190813014581853, 'z': 0.45105008495430504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,809] Trial 12 finished with value: 0.28403878205829847 and parameters: {'x': 0, 'y': 0.6573626526153533, 'z': 0.07034447908387464}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,810] Trial 13 finished with value: -1.2800539009325118 and parameters: {'x': 1, 'y': 0.09517231183848707, 'z': 1.228930493505103}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,811] Trial 14 finished with value: 0.28612245684320287 and parameters: {'x': 0, 'y': 0.7137006049154664, 'z': 0.5274789591481319}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,812] Trial 15 finished with value: 0.8413984238191299 and parameters: {'x': 2, 'y': -0.4080765862406426, 'z': 1.3259047193417794}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,813] Trial 16 finished with value: -0.4209059689419605 and parameters: {'x': 0, 'y': -0.669968204561703, 'z': 0.5887938659198809}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,814] Trial 17 finished with value: 0.2622281285098704 and parameters: {'x': 0, 'y': 0.6422113156738569, 'z': 0.2267280294638458}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,815] Trial 18 finished with value: -3.1150676084049143 and parameters: {'x': 1, 'y': 0.8885214244776023, 'z': 1.4814382123528085}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,816] Trial 19 finished with value: 1.2572674813923508 and parameters: {'x': 1, 'y': 0.6522456876854796, 'z': 0.377061201310589}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,817] Trial 20 finished with value: 1.109576126625988 and parameters: {'x': 1, 'y': 0.8056635206632548, 'z': 0.8018369232027226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,818] Trial 21 finished with value: 0.13525979446250405 and parameters: {'x': 1, 'y': -0.9214364655492253, 'z': 0.5357726379518044}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,819] Trial 22 finished with value: -0.11946269307197326 and parameters: {'x': 0, 'y': -0.38908016331436346, 'z': 0.496078967973198}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,820] Trial 23 finished with value: 3.048844180430364 and parameters: {'x': 2, 'y': -0.9200815826200455, 'z': 0.6442382676474575}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,821] Trial 24 finished with value: -0.052504516247150426 and parameters: {'x': 0, 'y': 0.27298228613508924, 'z': 0.5195207251200495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,821] Trial 25 finished with value: -1.2792692674509083 and parameters: {'x': 0, 'y': 0.759830349035832, 'z': 1.1448608807155216}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,822] Trial 26 finished with value: 3.314670809360776 and parameters: {'x': 2, 'y': -0.16498171232146608, 'z': 0.9083663465906351}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,823] Trial 27 finished with value: 0.9835588143169801 and parameters: {'x': 1, 'y': 0.1956732959259473, 'z': 0.3933234916979254}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,824] Trial 28 finished with value: -0.8979185222841687 and parameters: {'x': 0, 'y': -0.9492004358997879, 'z': 0.45459384097655214}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,825] Trial 29 finished with value: -0.5162192525906403 and parameters: {'x': 0, 'y': 0.11515637732528838, 'z': 0.8482605298322513}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,826] Trial 30 finished with value: 0.9287478215836122 and parameters: {'x': 1, 'y': -0.4144040474209818, 'z': 0.09637659104223667}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,827] Trial 31 finished with value: 3.6629941314557772 and parameters: {'x': 2, 'y': -0.3205843127242727, 'z': 0.7425729463236814}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,828] Trial 32 finished with value: 3.9463906776735107 and parameters: {'x': 2, 'y': -0.11845235019866696, 'z': 0.4774092082184268}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,829] Trial 33 finished with value: -1.6881011620090576 and parameters: {'x': 1, 'y': 0.156272859764935, 'z': 1.2809006257507296}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,830] Trial 34 finished with value: -1.893044916603758 and parameters: {'x': 0, 'y': -0.07093838444133493, 'z': 1.1729236779287227}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,831] Trial 35 finished with value: 4.005082765391397 and parameters: {'x': 2, 'y': 0.1720439601063517, 'z': 0.05564161985161181}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,832] Trial 36 finished with value: 0.9611598377675362 and parameters: {'x': 1, 'y': 0.12638136898549002, 'z': 0.44959480863684426}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,833] Trial 37 finished with value: 1.0385066437780113 and parameters: {'x': 1, 'y': 0.34693385056944104, 'z': 0.23879060006714026}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,834] Trial 38 finished with value: -0.03481869624869508 and parameters: {'x': 0, 'y': -0.32436822587064107, 'z': 0.16209565916917884}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,835] Trial 39 finished with value: 0.36926790170369916 and parameters: {'x': 0, 'y': 0.7716541923354114, 'z': 0.5480474568211737}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,837] Trial 40 finished with value: 0.12812115659454607 and parameters: {'x': 0, 'y': 0.5049923404372056, 'z': 0.16031937659035372}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,838] Trial 41 finished with value: 3.3512758155964324 and parameters: {'x': 2, 'y': -0.060429413119011066, 'z': 0.8973835069186638}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,839] Trial 42 finished with value: -1.128945814699914 and parameters: {'x': 0, 'y': -0.6319303558136975, 'z': 0.9676081897023627}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,840] Trial 43 finished with value: -0.5652914601075866 and parameters: {'x': 0, 'y': -0.5027749843944611, 'z': 0.8136127743420063}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,841] Trial 44 finished with value: -3.6754171752298412 and parameters: {'x': 0, 'y': -0.23717693019073582, 'z': 1.3833491803553195}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,842] Trial 45 finished with value: 3.5923565401224673 and parameters: {'x': 2, 'y': 0.1334998491499999, 'z': 0.800206327483504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,843] Trial 46 finished with value: 0.3273232510679114 and parameters: {'x': 0, 'y': 0.9557985268040099, 'z': 0.8595433560497787}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,844] Trial 47 finished with value: 1.0025147792970173 and parameters: {'x': 2, 'y': 0.12311472055273787, 'z': 1.316002862347402}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,845] Trial 48 finished with value: 1.0704131899221963 and parameters: {'x': 1, 'y': 0.41769965273791043, 'z': 0.22280017703468785}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,846] Trial 49 finished with value: 1.0577053447123854 and parameters: {'x': 1, 'y': 0.38778013268482336, 'z': 0.15692961678427975}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,847] Trial 50 finished with value: 0.3680190757085285 and parameters: {'x': 1, 'y': -0.6675957045909326, 'z': 0.7604679438960711}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,848] Trial 51 finished with value: 1.3747495993933643 and parameters: {'x': 2, 'y': -0.8197865305511229, 'z': 1.2001031260412178}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,849] Trial 52 finished with value: 0.9979094500663931 and parameters: {'x': 1, 'y': 0.1786954233612148, 'z': 0.29715098582440336}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,850] Trial 53 finished with value: 0.9319764488693013 and parameters: {'x': 1, 'y': -0.4081924755583253, 'z': 0.05633651391251654}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,851] Trial 54 finished with value: -1.5592042740852488 and parameters: {'x': 0, 'y': -0.09378999959753309, 'z': 1.1172961154251015}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,852] Trial 55 finished with value: 0.9838292684588362 and parameters: {'x': 1, 'y': -0.22977280086902696, 'z': 0.2521091962989279}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,853] Trial 56 finished with value: 2.1076623237986754 and parameters: {'x': 2, 'y': 0.19810359492298524, 'z': 1.1740722273674566}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,854] Trial 57 finished with value: 2.1246831699758735 and parameters: {'x': 2, 'y': 0.20632595172406965, 'z': 1.1715909259354231}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,855] Trial 58 finished with value: -1.4840880698467611 and parameters: {'x': 1, 'y': -0.95766961765569, 'z': 1.1256969157312366}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,856] Trial 59 finished with value: -0.3515250197672625 and parameters: {'x': 0, 'y': -0.08297158752545397, 'z': 0.7696840615983677}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,857] Trial 60 finished with value: 1.3220296764593489 and parameters: {'x': 1, 'y': 0.6887715890786952, 'z': 0.2622208422331791}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,858] Trial 61 finished with value: -1.2007575031405602 and parameters: {'x': 0, 'y': 0.6975281436224643, 'z': 1.1140118659491511}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,859] Trial 62 finished with value: 0.994468973365035 and parameters: {'x': 1, 'y': -0.1662031859012445, 'z': 0.1750942664204449}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,860] Trial 63 finished with value: -0.8620345557039887 and parameters: {'x': 1, 'y': -0.8106819185126939, 'z': 1.0737463091269712}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,861] Trial 64 finished with value: -0.7521010442890089 and parameters: {'x': 0, 'y': -0.588099483262055, 'z': 0.8606643471768032}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,862] Trial 65 finished with value: -2.080632890204889 and parameters: {'x': 0, 'y': 0.3114534854291964, 'z': 1.2053525216148295}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,864] Trial 66 finished with value: -1.7527509150220157 and parameters: {'x': 1, 'y': -0.8131192461124659, 'z': 1.2199741255062062}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,865] Trial 67 finished with value: 1.1629406477988748 and parameters: {'x': 2, 'y': -0.2131617751269692, 'z': 1.2967187907029298}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,866] Trial 68 finished with value: -1.5100225453807168 and parameters: {'x': 1, 'y': -0.48539422558999235, 'z': 1.2441028797408538}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,868] Trial 69 finished with value: 3.1274555273715547 and parameters: {'x': 2, 'y': 0.015201816109918775, 'z': 0.9664899225621255}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,869] Trial 70 finished with value: -3.911644822917701 and parameters: {'x': 0, 'y': 0.7914178974071162, 'z': 1.4489193772617226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,870] Trial 71 finished with value: 0.34386198109125343 and parameters: {'x': 0, 'y': 0.7311052364545663, 'z': 0.46542556041017846}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,871] Trial 72 finished with value: -0.7388007953082896 and parameters: {'x': 0, 'y': -0.9016096844525427, 'z': 0.27694025702139824}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,872] Trial 73 finished with value: -3.6407063057001596 and parameters: {'x': 0, 'y': -0.4850491531909138, 'z': 1.370372597356012}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,873] Trial 74 finished with value: -1.5826031648960468 and parameters: {'x': 1, 'y': -0.7395764210408102, 'z': 1.2148374981002679}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,875] Trial 75 finished with value: -2.589088162728826 and parameters: {'x': 1, 'y': -0.9511347100336718, 'z': 1.2852465639416288}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,876] Trial 76 finished with value: -0.007960371974823174 and parameters: {'x': 0, 'y': 0.4182119281439811, 'z': 0.533658514235495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,877] Trial 77 finished with value: 3.9028308169237502 and parameters: {'x': 2, 'y': 0.6892377222877011, 'z': 0.8072212757099377}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,878] Trial 78 finished with value: 0.46670116449600285 and parameters: {'x': 1, 'y': -0.7549800371251603, 'z': 0.5664628778611204}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,879] Trial 79 finished with value: -2.2015513126587933 and parameters: {'x': 1, 'y': 0.022417292570930725, 'z': 1.3376438549035414}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,880] Trial 80 finished with value: -2.013616301607068 and parameters: {'x': 0, 'y': -0.207116242243099, 'z': 1.189909849541421}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,881] Trial 81 finished with value: -1.7738059712887448 and parameters: {'x': 1, 'y': -0.6302649000181753, 'z': 1.2603709741325857}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,882] Trial 82 finished with value: -4.523011054108479 and parameters: {'x': 1, 'y': -0.8798995888983607, 'z': 1.4833754612943018}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:12:40,883] Trial 83 finished with value: -0.08079888724155815 and parameters: {'x': 0, 'y': 0.22940342596033925, 'z': 0.5520400212531891}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:12:40,884] Trial 84 finished with value: 1.7141266522072458 and parameters: {'x': 2, 'y': 0.25512370541125784, 'z': 1.2318247142973906}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:12:40,885] Trial 85 finished with value: -0.7520872270920254 and parameters: {'x': 0, 'y': -0.4504097368144626, 'z': 0.901577836698765}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:12:40,886] Trial 86 finished with value: 4.046893464626376 and parameters: {'x': 2, 'y': 0.41459261868287456, 'z': 0.3951047474351363}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:12:40,887] Trial 87 finished with value: -4.571964349495191 and parameters: {'x': 0, 'y': -0.08255154162027267, 'z': 1.4622187490950038}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,888] Trial 88 finished with value: 3.769073758442562 and parameters: {'x': 2, 'y': -0.6134925354270779, 'z': 0.0701088407420925}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,890] Trial 89 finished with value: 1.9906707709215672 and parameters: {'x': 2, 'y': 0.7172980309368531, 'z': 1.2418547636228567}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,891] Trial 90 finished with value: 0.20579475832853023 and parameters: {'x': 2, 'y': 0.1978728981453497, 'z': 1.3963737537716272}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,892] Trial 91 finished with value: -0.5572192676601909 and parameters: {'x': 0, 'y': -0.7720793824906156, 'z': 0.5580433532607516}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,893] Trial 92 finished with value: 3.115262529317084 and parameters: {'x': 2, 'y': -0.3577159370700811, 'z': 0.9570526220169401}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,894] Trial 93 finished with value: -0.06522562849929504 and parameters: {'x': 0, 'y': 0.08693007694983201, 'z': 0.5066319703277753}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,895] Trial 94 finished with value: 4.574547370310522 and parameters: {'x': 2, 'y': 0.8814140769664465, 'z': 0.5761827737303541}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,896] Trial 95 finished with value: 1.5015652459171465 and parameters: {'x': 1, 'y': 0.7945598896386961, 'z': 0.08823355215277057}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,897] Trial 96 finished with value: 0.5950628609995365 and parameters: {'x': 1, 'y': -0.7396489187381752, 'z': 0.13045411338692636}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,898] Trial 97 finished with value: 3.3511994815140613 and parameters: {'x': 2, 'y': -0.3908532893067598, 'z': 0.8760838088329035}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,899] Trial 98 finished with value: 3.781443021265078 and parameters: {'x': 2, 'y': 0.7615841212270811, 'z': 0.9014313108685146}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,900] Trial 99 finished with value: 0.26309303070193535 and parameters: {'x': 1, 'y': -0.8867435943237876, 'z': 0.44622614546388273}. Best is trial 87 with value: -4.571964349495191.\n\u001b[2Kreading sources... [ 79%] reference/visualization/generated/optuna.visualization.matplotlib.plot_param_importances\n<string>:15: ExperimentalWarning:\n\nplot_param_importances is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:42,364] A new study created in memory with name: no-name-1362a300-651e-46eb-92f6-23b3914481c0\n[I 2023-11-01 05:12:42,366] Trial 0 finished with values: [15.25165856112849, 28.813249324190714] and parameters: {'x': 0.6634688539188938, 'y': 1.8364976776902475}. \n[I 2023-11-01 05:12:42,367] Trial 1 finished with values: [69.75296535214818, 10.93702391365448] and parameters: {'x': 3.6842184486897245, 'y': 1.965903293748532}. \n[I 2023-11-01 05:12:42,367] Trial 2 finished with values: [10.811581118299692, 29.537516855042078] and parameters: {'x': 1.0589676326754254, 'y': 1.257570209777859}. \n[I 2023-11-01 05:12:42,368] Trial 3 finished with values: [24.77319184521251, 21.99513979338196] and parameters: {'x': 1.2941388313157876, 'y': 2.1256769854763293}. \n[I 2023-11-01 05:12:42,369] Trial 4 finished with values: [46.646347353178356, 18.521997680666505] and parameters: {'x': 3.242443891856529, 'y': 1.0715150239062796}. \n[I 2023-11-01 05:12:42,370] Trial 5 finished with values: [84.70644850822087, 6.953513925074205] and parameters: {'x': 3.7372634605659356, 'y': 2.6850463596321656}. \n[I 2023-11-01 05:12:42,371] Trial 6 finished with values: [22.94369547646535, 30.38779037159412] and parameters: {'x': 2.390635171237225, 'y': 0.1441781785149968}. \n[I 2023-11-01 05:12:42,372] Trial 7 finished with values: [100.87880968896226, 12.039412157929462] and parameters: {'x': 4.780889513458722, 'y': 1.5371395129723884}. \n[I 2023-11-01 05:12:42,372] Trial 8 finished with values: [107.64403022296533, 5.243150477240941] and parameters: {'x': 4.3674843232765035, 'y': 2.7993013845735355}. \n[I 2023-11-01 05:12:42,373] Trial 9 finished with values: [46.63041716490694, 27.113505428154] and parameters: {'x': 3.4140852678829905, 'y': 0.04032461842428303}. \n[I 2023-11-01 05:12:42,374] Trial 10 finished with values: [55.50791890042942, 17.78896033787734] and parameters: {'x': 3.5804205753862095, 'y': 1.0283813633367918}. \n[I 2023-11-01 05:12:42,375] Trial 11 finished with values: [3.5916828766409012, 38.89942975591886] and parameters: {'x': 0.8983385158188301, 'y': 0.30151058050530666}. \n[I 2023-11-01 05:12:42,376] Trial 12 finished with values: [26.312846565524644, 20.446526821839278] and parameters: {'x': 1.9658299660179797, 'y': 1.6473385159362084}. \n[I 2023-11-01 05:12:42,377] Trial 13 finished with values: [116.39194935933098, 4.301159261477542] and parameters: {'x': 4.489894697663484, 'y': 2.9897881101720363}. \n[I 2023-11-01 05:12:42,378] Trial 14 finished with values: [67.22012812736449, 10.353747419015608] and parameters: {'x': 3.482599971965171, 'y': 2.1625284893173804}. \n[I 2023-11-01 05:12:42,379] Trial 15 finished with values: [6.8934857319614276, 36.54950199714271] and parameters: {'x': 0.22383841445927644, 'y': 1.2935485291254882}. \n[I 2023-11-01 05:12:42,380] Trial 16 finished with values: [24.044895825158367, 21.87746842556638] and parameters: {'x': 2.0113659864016715, 'y': 1.4020095666706496}. \n[I 2023-11-01 05:12:42,380] Trial 17 finished with values: [81.55706985664897, 10.162010057787526] and parameters: {'x': 4.0726485977959435, 'y': 1.9500771428415284}. \n[I 2023-11-01 05:12:42,381] Trial 18 finished with values: [28.451959830785857, 27.613540934246515] and parameters: {'x': 0.29983363080682446, 'y': 2.650111271538171}. \n[I 2023-11-01 05:12:42,382] Trial 19 finished with values: [45.512740539116464, 15.62019568359409] and parameters: {'x': 2.9621461417039034, 'y': 1.613652803414599}. \n[I 2023-11-01 05:12:42,383] Trial 20 finished with values: [27.274774011439256, 21.7709561775863] and parameters: {'x': 1.1705904909084475, 'y': 2.334183241618904}. \n[I 2023-11-01 05:12:42,384] Trial 21 finished with values: [58.063418039904136, 10.88600513260744] and parameters: {'x': 2.9413489569342657, 'y': 2.4216359808025936}. \n[I 2023-11-01 05:12:42,385] Trial 22 finished with values: [97.94050921096357, 8.344549851174609] and parameters: {'x': 4.449886557202191, 'y': 2.164171187954437}. \n[I 2023-11-01 05:12:42,386] Trial 23 finished with values: [37.874599437542784, 17.69029030328953] and parameters: {'x': 1.4800283230259499, 'y': 2.697807632583667}. \n[I 2023-11-01 05:12:42,387] Trial 24 finished with values: [67.66314049213105, 8.80929697236489] and parameters: {'x': 3.035641898712118, 'y': 2.7750069163546693}. \n[I 2023-11-01 05:12:42,388] Trial 25 finished with values: [58.83076071344878, 11.346510176214428] and parameters: {'x': 3.153142767231233, 'y': 2.1829752329835435}. \n[I 2023-11-01 05:12:42,388] Trial 26 finished with values: [70.42290655956856, 8.506437005544525] and parameters: {'x': 3.221513223479186, 'y': 2.6884157399555755}. \n[I 2023-11-01 05:12:42,389] Trial 27 finished with values: [27.537257010588057, 27.41342275214466] and parameters: {'x': 2.600852657022915, 'y': 0.34623649302732085}. \n[I 2023-11-01 05:12:42,390] Trial 28 finished with values: [74.88177949333578, 18.421666771164425] and parameters: {'x': 4.257151504144183, 'y': 0.7727263060727689}. \n[I 2023-11-01 05:12:42,391] Trial 29 finished with values: [57.10535724106288, 11.048483865329231] and parameters: {'x': 2.8962505312526163, 'y': 2.4265350132410326}. \n[I 2023-11-01 05:12:42,392] Trial 30 finished with values: [49.432694553340866, 13.973534272161931] and parameters: {'x': 2.9905493080428918, 'y': 1.8479146285744368}. \n[I 2023-11-01 05:12:42,393] Trial 31 finished with values: [25.602161012646206, 27.991784870904844] and parameters: {'x': 0.3329513688951008, 'y': 2.50792416933057}. \n[I 2023-11-01 05:12:42,394] Trial 32 finished with values: [23.350807470886508, 21.709072955185814] and parameters: {'x': 1.6231088482304357, 'y': 1.7897540430231458}. \n[I 2023-11-01 05:12:42,395] Trial 33 finished with values: [40.345438207293114, 15.905409157729654] and parameters: {'x': 1.8049573916413553, 'y': 2.6131376477680073}. \n[I 2023-11-01 05:12:42,396] Trial 34 finished with values: [46.67453180961124, 16.33452190740273] and parameters: {'x': 3.1011888747918084, 'y': 1.4322222297081997}. \n[I 2023-11-01 05:12:42,397] Trial 35 finished with values: [31.78115383893886, 23.210270180432577] and parameters: {'x': 0.7588242844530957, 'y': 2.7146775434771184}. \n[I 2023-11-01 05:12:42,397] Trial 36 finished with values: [29.87943389703291, 20.435855913167934] and parameters: {'x': 2.404995594231501, 'y': 1.2984046618775282}. \n[I 2023-11-01 05:12:42,398] Trial 37 finished with values: [82.23137096888479, 9.571565319216884] and parameters: {'x': 4.039569538299606, 'y': 2.0590582040008254}. \n[I 2023-11-01 05:12:42,399] Trial 38 finished with values: [17.172388329921844, 25.462357035128612] and parameters: {'x': 1.1797744915963082, 'y': 1.7032995131388766}. \n[I 2023-11-01 05:12:42,400] Trial 39 finished with values: [5.092296427278509, 35.410526087791254] and parameters: {'x': 0.87964895473925, 'y': 0.7066058471635881}. \n[I 2023-11-01 05:12:42,401] Trial 40 finished with values: [19.50355698307945, 25.58958846059776] and parameters: {'x': 0.9223500139239432, 'y': 2.006280064593267}. \n[I 2023-11-01 05:12:42,402] Trial 41 finished with values: [22.77274224028932, 21.952955681866147] and parameters: {'x': 1.6628247320213918, 'y': 1.711198255799227}. \n[I 2023-11-01 05:12:42,403] Trial 42 finished with values: [40.041253429676594, 18.648198683847] and parameters: {'x': 1.2148206974596176, 'y': 2.9213907698975974}. \n[I 2023-11-01 05:12:42,404] Trial 43 finished with values: [97.17250494199376, 17.342679433967707] and parameters: {'x': 4.857044581932612, 'y': 0.8380000982204621}. \n[I 2023-11-01 05:12:42,404] Trial 44 finished with values: [78.5954682421041, 13.941474834670439] and parameters: {'x': 4.2227803593915, 'y': 1.3479588631940587}. \n[I 2023-11-01 05:12:42,405] Trial 45 finished with values: [103.27219972717161, 12.450828763800269] and parameters: {'x': 4.862619943432618, 'y': 1.4741021733666455}. \n[I 2023-11-01 05:12:42,406] Trial 46 finished with values: [12.659093931548314, 30.50067771295368] and parameters: {'x': 0.5870970621534538, 'y': 1.679312514839886}. \n[I 2023-11-01 05:12:42,407] Trial 47 finished with values: [102.41129373346823, 10.707980934741007] and parameters: {'x': 4.752409282953863, 'y': 1.7370749669087417}. \n[I 2023-11-01 05:12:42,408] Trial 48 finished with values: [42.71265145261225, 14.667252965925135] and parameters: {'x': 2.5163506330056586, 'y': 2.084740356717134}. \n[I 2023-11-01 05:12:42,409] Trial 49 finished with values: [2.7876332593969875, 39.94019109985055] and parameters: {'x': 0.7811191201740064, 'y': 0.29455260132586325}. \n\u001b[2Kreading sources... [ 80%] reference/visualization/generated/optuna.visualization.matplotlib.plot_pareto_front\n<string>:16: ExperimentalWarning:\n\nplot_pareto_front is experimental (supported from v2.8.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:345: ExperimentalWarning:\n\nThe ``constraints_func`` option is an experimental feature. The interface can change in the future.\n\n[I 2023-11-01 05:12:42,611] A new study created in memory with name: no-name-bb0938ce-beb7-4918-aafc-97bf4ac8d7be\n[I 2023-11-01 05:12:42,612] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:12:42,613] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,614] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,615] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,616] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,617] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,618] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,619] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,620] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,621] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,628] Trial 10 finished with value: 6552.967716339579 and parameters: {'x': 80.95040281764865, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,634] Trial 11 finished with value: 1581.6759383724113 and parameters: {'x': 39.770289644059815, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,641] Trial 12 finished with value: 1028.2507682929152 and parameters: {'x': 32.06634946938792, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,648] Trial 13 finished with value: 9734.833587691272 and parameters: {'x': 98.6652602879619, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,655] Trial 14 finished with value: 332.07882979888785 and parameters: {'x': 18.223030203533327, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,661] Trial 15 finished with value: 565.7705064178704 and parameters: {'x': -23.80694239959996, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,668] Trial 16 finished with value: 213.03950442172223 and parameters: {'x': -14.63008900935747, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,676] Trial 17 finished with value: 641.5871135168867 and parameters: {'x': -25.34930203214453, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,682] Trial 18 finished with value: 1368.8316914198415 and parameters: {'x': -37.01123736677607, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,689] Trial 19 finished with value: 1159.0046483066578 and parameters: {'x': -34.05884097127584, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,696] Trial 20 finished with value: 1280.35318886121 and parameters: {'x': -35.795994033707316, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,703] Trial 21 finished with value: 267.4820201738229 and parameters: {'x': -16.385420964193226, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,710] Trial 22 finished with value: 273.55651795948256 and parameters: {'x': 16.569747069870516, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,717] Trial 23 finished with value: 0.5264659525593145 and parameters: {'x': -1.2355023077919824, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:12:42,724] Trial 24 finished with value: 708.8376961830706 and parameters: {'x': 26.642779438021677, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:12:42,731] Trial 25 finished with value: 746.543499314302 and parameters: {'x': -27.34124172956126, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:12:42,738] Trial 26 finished with value: 2096.0943980014476 and parameters: {'x': -45.79404325893759, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:12:42,745] Trial 27 finished with value: 2693.8946162727752 and parameters: {'x': -51.9123744041127, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:12:42,751] Trial 28 finished with value: 533.2215173103497 and parameters: {'x': -23.113232515387146, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:12:42,758] Trial 29 finished with value: 383.4698273179495 and parameters: {'x': -19.556835820703448, 'y': 1}. Best is trial 23 with value: 0.5264659525593145.\n<string>:22: ExperimentalWarning:\n\nplot_rank is experimental (supported from v3.2.0). The interface can change in the future.\n\n[W 2023-11-01 05:12:42,759] Output figures of this Matplotlib-based `plot_rank` function would be different from those of the Plotly-based `plot_rank`.\n\u001b[2Kreading sources... [ 80%] reference/visualization/generated/optuna.visualization.matplotlib.plot_rank\n[I 2023-11-01 05:12:42,988] A new study created in memory with name: no-name-98c7b83f-1607-46c7-97b6-0bba06412927\n[I 2023-11-01 05:12:42,989] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:12:42,990] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,991] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,992] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,992] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,993] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,994] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,995] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,996] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,996] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 81%] reference/visualization/generated/optuna.visualization.matplotlib.plot_slice\n<string>:14: ExperimentalWarning:\n\nplot_slice is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:43,239] A new study created in memory with name: no-name-fdeb4d57-e90f-4e57-9b06-8e8dbfdc116e\n[I 2023-11-01 05:12:43,489] Trial 0 finished with value: 0.9831746031746033 and parameters: {'reg_alpha': 0.0004989627005021362, 'reg_lambda': 0.0001340079768036678, 'num_leaves': 245, 'colsample_bytree': 0.5639517570152723, 'subsample': 0.515273719985223, 'subsample_freq': 7, 'min_child_samples': 24}. Best is trial 0 with value: 0.9831746031746033.\n[I 2023-11-01 05:12:43,644] Trial 1 finished with value: 0.971904761904762 and parameters: {'reg_alpha': 0.1773301958494506, 'reg_lambda': 0.21241910181124352, 'num_leaves': 228, 'colsample_bytree': 0.47686039975387623, 'subsample': 0.9285500732940954, 'subsample_freq': 4, 'min_child_samples': 25}. Best is trial 1 with value: 0.971904761904762.\n[I 2023-11-01 05:12:43,685] Trial 2 finished with value: 0.39999999999999997 and parameters: {'reg_alpha': 1.2845595727016514e-06, 'reg_lambda': 0.00010308638388944868, 'num_leaves': 119, 'colsample_bytree': 0.8045240681366516, 'subsample': 0.7462520902094865, 'subsample_freq': 2, 'min_child_samples': 98}. Best is trial 2 with value: 0.39999999999999997.\n[I 2023-11-01 05:12:43,828] Trial 3 finished with value: 0.9888888888888889 and parameters: {'reg_alpha': 0.0003999956901742235, 'reg_lambda': 3.2854616735249914e-05, 'num_leaves': 221, 'colsample_bytree': 0.8095767177424433, 'subsample': 0.963301174767533, 'subsample_freq': 2, 'min_child_samples': 44}. Best is trial 2 with value: 0.39999999999999997.\n[I 2023-11-01 05:12:43,898] Trial 4 finished with value: 0.8877777777777778 and parameters: {'reg_alpha': 1.4611223076842106e-07, 'reg_lambda': 6.52495718234125e-07, 'num_leaves': 105, 'colsample_bytree': 0.7892580823460396, 'subsample': 0.6178789085381777, 'subsample_freq': 5, 'min_child_samples': 50}. Best is trial 2 with value: 0.39999999999999997.\n[I 2023-11-01 05:12:43,939] Trial 5 finished with value: 0.3996825396825397 and parameters: {'reg_alpha': 3.5190938016565096e-07, 'reg_lambda': 0.047537360582616865, 'num_leaves': 20, 'colsample_bytree': 0.5032823313197803, 'subsample': 0.7077351488253056, 'subsample_freq': 2, 'min_child_samples': 96}. Best is trial 5 with value: 0.3996825396825397.\n[I 2023-11-01 05:12:43,979] Trial 6 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 0.00030362745740210014, 'reg_lambda': 8.346647566700228e-08, 'num_leaves': 224, 'colsample_bytree': 0.9159183234506485, 'subsample': 0.7862819530518422, 'subsample_freq': 6, 'min_child_samples': 93}. Best is trial 6 with value: 0.3985714285714286.\n[I 2023-11-01 05:12:44,099] Trial 7 finished with value: 0.9720634920634922 and parameters: {'reg_alpha': 0.012701572280528, 'reg_lambda': 1.2996658140863488e-07, 'num_leaves': 220, 'colsample_bytree': 0.7451785607660331, 'subsample': 0.5651556251221458, 'subsample_freq': 6, 'min_child_samples': 33}. Best is trial 6 with value: 0.3985714285714286.\n[I 2023-11-01 05:12:44,143] Trial 8 finished with value: 0.39936507936507937 and parameters: {'reg_alpha': 0.0055075391430219785, 'reg_lambda': 1.4728663564805908, 'num_leaves': 192, 'colsample_bytree': 0.8691141753082686, 'subsample': 0.6765491265984891, 'subsample_freq': 7, 'min_child_samples': 81}. Best is trial 6 with value: 0.3985714285714286.\n[I 2023-11-01 05:12:44,248] Trial 9 finished with value: 0.9603174603174605 and parameters: {'reg_alpha': 1.7767877046321394e-08, 'reg_lambda': 5.6273923611910045e-05, 'num_leaves': 43, 'colsample_bytree': 0.49460595255811096, 'subsample': 0.9455202544244882, 'subsample_freq': 3, 'min_child_samples': 65}. Best is trial 6 with value: 0.3985714285714286.\n[I 2023-11-01 05:12:44,407] Trial 10 finished with value: 0.9215873015873015 and parameters: {'reg_alpha': 7.239741733833304, 'reg_lambda': 1.3803908304030399e-08, 'num_leaves': 165, 'colsample_bytree': 0.9886560943318634, 'subsample': 0.4180692738594515, 'subsample_freq': 5, 'min_child_samples': 5}. Best is trial 6 with value: 0.3985714285714286.\n[I 2023-11-01 05:12:44,493] Trial 11 finished with value: 0.3979365079365079 and parameters: {'reg_alpha': 2.9135074540153182e-05, 'reg_lambda': 5.228289263654254, 'num_leaves': 170, 'colsample_bytree': 0.9365945972913505, 'subsample': 0.7953554489695067, 'subsample_freq': 7, 'min_child_samples': 77}. Best is trial 11 with value: 0.3979365079365079.\n[I 2023-11-01 05:12:44,571] Trial 12 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 1.0411484880490669e-05, 'reg_lambda': 9.76520128904819, 'num_leaves': 172, 'colsample_bytree': 0.960332239636458, 'subsample': 0.82905263132833, 'subsample_freq': 6, 'min_child_samples': 74}. Best is trial 11 with value: 0.3979365079365079.\n[I 2023-11-01 05:12:44,647] Trial 13 finished with value: 0.33174603174603173 and parameters: {'reg_alpha': 9.965913597751986e-06, 'reg_lambda': 0.009223516099156769, 'num_leaves': 146, 'colsample_bytree': 0.8939624282634053, 'subsample': 0.814099801527945, 'subsample_freq': 7, 'min_child_samples': 83}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:44,750] Trial 14 finished with value: 0.39904761904761904 and parameters: {'reg_alpha': 1.302095509476826e-05, 'reg_lambda': 0.010344589905892279, 'num_leaves': 75, 'colsample_bytree': 0.8896665898636799, 'subsample': 0.829462623426237, 'subsample_freq': 7, 'min_child_samples': 69}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:44,829] Trial 15 finished with value: 0.4 and parameters: {'reg_alpha': 8.886788183661473e-06, 'reg_lambda': 0.004498977442654113, 'num_leaves': 141, 'colsample_bytree': 0.6672153140660972, 'subsample': 0.85320489678218, 'subsample_freq': 5, 'min_child_samples': 84}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:44,974] Trial 16 finished with value: 0.9663492063492063 and parameters: {'reg_alpha': 2.8402234864540678e-05, 'reg_lambda': 0.6874231774622149, 'num_leaves': 97, 'colsample_bytree': 0.9910431994882996, 'subsample': 0.8880789602947069, 'subsample_freq': 4, 'min_child_samples': 61}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:45,054] Trial 17 finished with value: 0.39936507936507937 and parameters: {'reg_alpha': 7.373581006991595e-07, 'reg_lambda': 6.86574763091415, 'num_leaves': 145, 'colsample_bytree': 0.8808057501678996, 'subsample': 0.7719681782489726, 'subsample_freq': 1, 'min_child_samples': 80}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:45,215] Trial 18 finished with value: 0.9660317460317461 and parameters: {'reg_alpha': 1.0828039316585862e-08, 'reg_lambda': 0.00471180103314662, 'num_leaves': 183, 'colsample_bytree': 0.6848988810790538, 'subsample': 0.9852618154792894, 'subsample_freq': 7, 'min_child_samples': 57}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:45,294] Trial 19 finished with value: 0.3976190476190476 and parameters: {'reg_alpha': 5.229951121796169e-05, 'reg_lambda': 0.14003903153735794, 'num_leaves': 152, 'colsample_bytree': 0.9392422661430488, 'subsample': 0.8780240285331317, 'subsample_freq': 6, 'min_child_samples': 87}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:45,373] Trial 20 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 2.240259180353648e-06, 'reg_lambda': 0.11265731923181353, 'num_leaves': 76, 'colsample_bytree': 0.8493366630906048, 'subsample': 0.8789736378937664, 'subsample_freq': 6, 'min_child_samples': 88}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:45,453] Trial 21 finished with value: 0.30968253968253967 and parameters: {'reg_alpha': 7.531497756241199e-05, 'reg_lambda': 1.0406356336718092, 'num_leaves': 153, 'colsample_bytree': 0.944154261644426, 'subsample': 0.8076404312507145, 'subsample_freq': 7, 'min_child_samples': 74}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:45,533] Trial 22 finished with value: 0.3992063492063492 and parameters: {'reg_alpha': 8.900228405603179e-05, 'reg_lambda': 0.4525352137155296, 'num_leaves': 145, 'colsample_bytree': 0.9277480291799207, 'subsample': 0.8939295818267433, 'subsample_freq': 6, 'min_child_samples': 89}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:45,614] Trial 23 finished with value: 0.315079365079365 and parameters: {'reg_alpha': 6.757154468946991e-05, 'reg_lambda': 0.026522121061506972, 'num_leaves': 198, 'colsample_bytree': 0.9499998024518667, 'subsample': 0.8283097867242105, 'subsample_freq': 5, 'min_child_samples': 100}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:45,697] Trial 24 finished with value: 0.39936507936507937 and parameters: {'reg_alpha': 0.0001480505222895097, 'reg_lambda': 0.0010118744350787984, 'num_leaves': 202, 'colsample_bytree': 0.9962490609638656, 'subsample': 0.8132541305481039, 'subsample_freq': 5, 'min_child_samples': 98}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:45,800] Trial 25 finished with value: 0.3990476190476191 and parameters: {'reg_alpha': 6.1426199187584315e-06, 'reg_lambda': 0.030361037873385576, 'num_leaves': 120, 'colsample_bytree': 0.8531521068256006, 'subsample': 0.6993715674709056, 'subsample_freq': 3, 'min_child_samples': 71}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:45,886] Trial 26 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 0.0012777774203934786, 'reg_lambda': 0.025528911829261626, 'num_leaves': 204, 'colsample_bytree': 0.9507555923315079, 'subsample': 0.7579233968145745, 'subsample_freq': 4, 'min_child_samples': 100}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:45,967] Trial 27 finished with value: 0.33238095238095233 and parameters: {'reg_alpha': 2.915879780447314e-06, 'reg_lambda': 1.0952846934807543, 'num_leaves': 246, 'colsample_bytree': 0.8997898021903301, 'subsample': 0.8435222589897015, 'subsample_freq': 7, 'min_child_samples': 75}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:46,047] Trial 28 finished with value: 0.39904761904761904 and parameters: {'reg_alpha': 6.184587860479794e-05, 'reg_lambda': 0.0008797584557490148, 'num_leaves': 160, 'colsample_bytree': 0.8388120209645128, 'subsample': 0.9291736569507019, 'subsample_freq': 5, 'min_child_samples': 90}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:46,189] Trial 29 finished with value: 0.9607936507936508 and parameters: {'reg_alpha': 0.001067705806158682, 'reg_lambda': 0.09430604605020981, 'num_leaves': 131, 'colsample_bytree': 0.637287554230887, 'subsample': 0.7241837140806298, 'subsample_freq': 7, 'min_child_samples': 53}. Best is trial 21 with value: 0.30968253968253967.\n<string>:27: ExperimentalWarning:\n\nplot_terminator_improvement is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:129: ExperimentalWarning:\n\nRegretBoundEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:131: ExperimentalWarning:\n\nCrossValidationErrorEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n\n 0%\| \| 0/30 [00:00<?, ?it/s]\n 3%\|▎ \| 1/30 [00:01<00:31, 1.10s/it]\n 7%\|▋ \| 2/30 [00:02<00:31, 1.12s/it]\n 10%\|█ \| 3/30 [00:03<00:30, 1.12s/it]\n 13%\|█▎ \| 4/30 [00:04<00:28, 1.11s/it]\n 17%\|█▋ \| 5/30 [00:05<00:27, 1.12s/it]\n 20%\|██ \| 6/30 [00:06<00:26, 1.11s/it]\n 23%\|██▎ \| 7/30 [00:07<00:25, 1.13s/it]\n 27%\|██▋ \| 8/30 [00:08<00:24, 1.13s/it]\n 30%\|███ \| 9/30 [00:10<00:23, 1.12s/it]\n 33%\|███▎ \| 10/30 [00:11<00:25, 1.30s/it]\n 37%\|███▋ \| 11/30 [00:12<00:23, 1.24s/it]\n 40%\|████ \| 12/30 [00:13<00:21, 1.20s/it]\n 43%\|████▎ \| 13/30 [00:15<00:20, 1.19s/it]\n 47%\|████▋ \| 14/30 [00:16<00:19, 1.20s/it]\n 50%\|█████ \| 15/30 [00:17<00:18, 1.20s/it]\n 53%\|█████▎ \| 16/30 [00:18<00:16, 1.21s/it]\n 57%\|█████▋ \| 17/30 [00:20<00:15, 1.21s/it]\n 60%\|██████ \| 18/30 [00:21<00:14, 1.22s/it]\n 63%\|██████▎ \| 19/30 [00:22<00:13, 1.26s/it]\n 67%\|██████▋ \| 20/30 [00:24<00:12, 1.30s/it]\n 70%\|███████ \| 21/30 [00:25<00:11, 1.28s/it]\n 73%\|███████▎ \| 22/30 [00:26<00:10, 1.28s/it]\n 77%\|███████▋ \| 23/30 [00:27<00:08, 1.26s/it]\n 80%\|████████ \| 24/30 [00:29<00:07, 1.28s/it]\n 83%\|████████▎ \| 25/30 [00:30<00:06, 1.27s/it]\n 87%\|████████▋ \| 26/30 [00:32<00:05, 1.41s/it]\n 90%\|█████████ \| 27/30 [00:33<00:04, 1.34s/it]\n 93%\|█████████▎\| 28/30 [00:34<00:02, 1.29s/it]\n 97%\|█████████▋\| 29/30 [00:35<00:01, 1.23s/it]\n100%\|██████████\| 30/30 [00:36<00:00, 1.18s/it]\n\u001b[2Kreading sources... [ 81%] reference/visualization/generated/optuna.visualization.matplotlib.plot_terminator_improvement\n100%\|██████████\| 30/30 [00:36<00:00, 1.22s/it]\n[I 2023-11-01 05:13:22,932] A new study created in memory with name: no-name-db7ba605-9f3b-4d4b-b31c-910614d42ffe\n[I 2023-11-01 05:13:22,993] Trial 1 pruned. \n[I 2023-11-01 05:13:23,009] Trial 0 pruned. \n[I 2023-11-01 05:13:23,024] Trial 3 finished with value: 0.014842189858393293 and parameters: {'x': 0.1218285264558071}. Best is trial 3 with value: 0.014842189858393293.\n[I 2023-11-01 05:13:23,034] Trial 2 finished with value: 0.15714427689911697 and parameters: {'x': 0.3964142743382445}. Best is trial 3 with value: 0.014842189858393293.\n[I 2023-11-01 05:13:23,045] Trial 4 finished with value: 0.03443623921908101 and parameters: {'x': 0.1855700385813427}. Best is trial 3 with value: 0.014842189858393293.\n[I 2023-11-01 05:13:23,088] Trial 5 pruned. \n[I 2023-11-01 05:13:23,128] Trial 7 finished with value: 0.1369112756633772 and parameters: {'x': 0.37001523706920125}. Best is trial 3 with value: 0.014842189858393293.\n[W 2023-11-01 05:13:23,141] Trial 6 failed with parameters: {'x': 0.9372016357850274} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,144] Trial 6 failed with value None.\n[I 2023-11-01 05:13:23,158] Trial 8 finished with value: 0.07322668224999963 and parameters: {'x': 0.27060429089354743}. Best is trial 3 with value: 0.014842189858393293.\n[I 2023-11-01 05:13:23,173] Trial 10 finished with value: 0.01692646582767547 and parameters: {'x': 0.13010175182400685}. Best is trial 3 with value: 0.014842189858393293.\n[W 2023-11-01 05:13:23,236] Trial 9 failed with parameters: {'x': 0.8976523898537465} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,237] Trial 9 failed with value None.\n[I 2023-11-01 05:13:23,238] Trial 11 pruned. \n[I 2023-11-01 05:13:23,252] Trial 12 finished with value: 0.0003546374314571753 and parameters: {'x': 0.018831819653373258}. Best is trial 12 with value: 0.0003546374314571753.\n[I 2023-11-01 05:13:23,259] Trial 13 finished with value: 0.0005037418794397232 and parameters: {'x': 0.022444194782609672}. Best is trial 12 with value: 0.0003546374314571753.\n[I 2023-11-01 05:13:23,261] Trial 14 finished with value: 0.00027509402929743463 and parameters: {'x': 0.01658595879946151}. Best is trial 14 with value: 0.00027509402929743463.\n[I 2023-11-01 05:13:23,270] Trial 15 finished with value: 0.0004877388879542388 and parameters: {'x': 0.02208481125013838}. Best is trial 14 with value: 0.00027509402929743463.\n[I 2023-11-01 05:13:23,286] Trial 16 finished with value: 0.0005880074832481517 and parameters: {'x': 0.024248865607449592}. Best is trial 14 with value: 0.00027509402929743463.\n[W 2023-11-01 05:13:23,366] Trial 17 failed with parameters: {'x': 0.8917662044256499} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,368] Trial 17 failed with value None.\n[W 2023-11-01 05:13:23,385] Trial 18 failed with parameters: {'x': 0.9187041860215172} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,387] Trial 18 failed with value None.\n[W 2023-11-01 05:13:23,462] Trial 19 failed with parameters: {'x': 0.8655576854046144} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,464] Trial 19 failed with value None.\n[I 2023-11-01 05:13:23,496] Trial 21 finished with value: 0.0541960353742624 and parameters: {'x': 0.232800419617883}. Best is trial 14 with value: 0.00027509402929743463.\n[W 2023-11-01 05:13:23,503] Trial 20 failed with parameters: {'x': 0.9920065637328724} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,505] Trial 20 failed with value None.\n[I 2023-11-01 05:13:23,551] Trial 23 finished with value: 0.11255199409253754 and parameters: {'x': 0.3354876958884447}. Best is trial 14 with value: 0.00027509402929743463.\n[W 2023-11-01 05:13:23,592] Trial 22 failed with parameters: {'x': 0.8922373123414834} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,595] Trial 22 failed with value None.\n[W 2023-11-01 05:13:23,664] Trial 24 failed with parameters: {'x': 0.9897396352498966} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,665] Trial 24 failed with value None.\n[W 2023-11-01 05:13:23,693] Trial 25 failed with parameters: {'x': 0.9032490745502213} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,696] Trial 25 failed with value None.\n[W 2023-11-01 05:13:23,763] Trial 26 failed with parameters: {'x': 0.8961757882287438} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,765] Trial 26 failed with value None.\n[I 2023-11-01 05:13:23,786] Trial 28 finished with value: 0.018644199612647534 and parameters: {'x': 0.13654376445904637}. Best is trial 14 with value: 0.00027509402929743463.\n[W 2023-11-01 05:13:23,797] Trial 27 failed with parameters: {'x': 0.9348392751793811} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,798] Trial 27 failed with value None.\n[W 2023-11-01 05:13:23,889] Trial 29 failed with parameters: {'x': 0.9479439299738556} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,890] Trial 29 failed with value None.\n[W 2023-11-01 05:13:23,904] Trial 30 failed with parameters: {'x': 0.9884845231686085} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,905] Trial 30 failed with value None.\n[W 2023-11-01 05:13:23,995] Trial 31 failed with parameters: {'x': 0.9695450277743725} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,996] Trial 31 failed with value None.\n[W 2023-11-01 05:13:24,003] Trial 32 failed with parameters: {'x': 0.9142222650390485} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,004] Trial 32 failed with value None.\n[I 2023-11-01 05:13:24,048] Trial 33 pruned. \n[W 2023-11-01 05:13:24,110] Trial 34 failed with parameters: {'x': 0.9827517400721096} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,112] Trial 34 failed with value None.\n[W 2023-11-01 05:13:24,152] Trial 35 failed with parameters: {'x': 0.9531061650471164} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,154] Trial 35 failed with value None.\n[W 2023-11-01 05:13:24,220] Trial 36 failed with parameters: {'x': 0.9915974653265378} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,222] Trial 36 failed with value None.\n[W 2023-11-01 05:13:24,254] Trial 37 failed with parameters: {'x': 0.9213666909450334} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,257] Trial 37 failed with value None.\n[I 2023-11-01 05:13:24,260] Trial 38 finished with value: 0.08353757283206283 and parameters: {'x': 0.2890286712976116}. Best is trial 14 with value: 0.00027509402929743463.\n[I 2023-11-01 05:13:24,294] Trial 39 finished with value: 0.07565172224519442 and parameters: {'x': 0.2750485816091303}. Best is trial 14 with value: 0.00027509402929743463.\n[I 2023-11-01 05:13:24,303] Trial 41 finished with value: 2.263093710510395e-05 and parameters: {'x': 0.004757198451305553}. Best is trial 41 with value: 2.263093710510395e-05.\n[I 2023-11-01 05:13:24,310] Trial 42 finished with value: 2.4496602691801658e-05 and parameters: {'x': 0.004949404276456073}. Best is trial 41 with value: 2.263093710510395e-05.\n[W 2023-11-01 05:13:24,368] Trial 40 failed with parameters: {'x': 0.9523171958909332} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,370] Trial 40 failed with value None.\n[I 2023-11-01 05:13:24,394] Trial 44 finished with value: 0.012203171078959468 and parameters: {'x': 0.1104679640391705}. Best is trial 41 with value: 2.263093710510395e-05.\n[W 2023-11-01 05:13:24,414] Trial 43 failed with parameters: {'x': 0.9766429807954895} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,417] Trial 43 failed with value None.\n[I 2023-11-01 05:13:24,424] Trial 45 finished with value: 0.04179347467981478 and parameters: {'x': 0.20443452418761068}. Best is trial 41 with value: 2.263093710510395e-05.\n[I 2023-11-01 05:13:24,445] Trial 46 finished with value: 0.03467733830492518 and parameters: {'x': 0.18621852299093444}. Best is trial 41 with value: 2.263093710510395e-05.\n[I 2023-11-01 05:13:24,461] Trial 48 finished with value: 0.006351027570575772 and parameters: {'x': 0.07969333454295768}. Best is trial 41 with value: 2.263093710510395e-05.\n[W 2023-11-01 05:13:24,525] Trial 47 failed with parameters: {'x': 0.9181981949000149} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,526] Trial 47 failed with value None.\n[W 2023-11-01 05:13:24,562] Trial 49 failed with parameters: {'x': 0.9398437875142414} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,563] Trial 49 failed with value None.\n\u001b[2Kreading sources... [ 82%] reference/visualization/generated/optuna.visualization.matplotlib.plot_timeline\n<string>:21: ExperimentalWarning:\n\nplot_timeline is experimental (supported from v3.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:13:25,018] A new study created in memory with name: no-name-d41f88e9-648b-4e61-8ad7-da9e8f08ed64\n[I 2023-11-01 05:13:25,019] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:13:25,020] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,021] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,022] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,023] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,024] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,024] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,025] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,026] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,027] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,034] Trial 10 finished with value: 734.0822030665411 and parameters: {'x': -27.075490818571343, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,041] Trial 11 finished with value: 73.65352512080509 and parameters: {'x': 8.523703720848413, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,048] Trial 12 finished with value: 772.5301395134916 and parameters: {'x': -27.776431367500965, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,055] Trial 13 finished with value: 144.99637750321034 and parameters: {'x': 11.999849061684499, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,061] Trial 14 finished with value: 58.008999214248114 and parameters: {'x': -7.550430399271827, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,069] Trial 15 finished with value: 1811.5559443721502 and parameters: {'x': -42.574122943076, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,076] Trial 16 finished with value: 101.03717560874351 and parameters: {'x': -10.001858607716043, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,083] Trial 17 finished with value: 9671.11610067409 and parameters: {'x': 98.33674847519664, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,090] Trial 18 finished with value: 731.8040203733697 and parameters: {'x': 27.03338714207618, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,097] Trial 19 finished with value: 1940.8126679916945 and parameters: {'x': -44.06600354004995, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,103] Trial 20 finished with value: 22.671858597340137 and parameters: {'x': -4.6553043506671115, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,110] Trial 21 finished with value: 36.2737132672693 and parameters: {'x': -5.939167725133657, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,117] Trial 22 finished with value: 467.498830386074 and parameters: {'x': 21.598583990300707, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,124] Trial 23 finished with value: 57.683827568626214 and parameters: {'x': -7.5288662870731216, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,131] Trial 24 finished with value: 14.559465794510222 and parameters: {'x': 3.6823179920411846, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,138] Trial 25 finished with value: 1454.2889615335619 and parameters: {'x': 38.1220272484762, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,145] Trial 26 finished with value: 210.54412862953976 and parameters: {'x': 14.475639144077189, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,152] Trial 27 finished with value: 3133.9754124740953 and parameters: {'x': 55.97298823963301, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,159] Trial 28 finished with value: 583.7660288159207 and parameters: {'x': -24.181936002229445, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,166] Trial 29 finished with value: 31.445003865150788 and parameters: {'x': 5.607584494695625, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 82%] reference/visualization/generated/optuna.visualization.plot_contour\n[I 2023-11-01 05:13:25,392] A new study created in memory with name: x=[0,5), y=[0,5)\n[I 2023-11-01 05:13:25,393] Trial 0 finished with value: 9.098775784310966 and parameters: {'x': 3.85660321633373, 'y': 0.1037597467970075}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:13:25,394] Trial 1 finished with value: 11.468279264943558 and parameters: {'x': 3.168241174631377, 'y': 3.744019412693059}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:13:25,395] Trial 2 finished with value: 8.26591744896594 and parameters: {'x': 2.4925350615129522, 'y': 1.1239832276542383}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:13:25,396] Trial 3 finished with value: 9.307353958700034 and parameters: {'x': 0.9903143237981199, 'y': 3.8026535609947936}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:13:25,396] Trial 4 finished with value: 4.4107752374673055 and parameters: {'x': 0.8455541828126772, 'y': 0.44169907087005134}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,397] Trial 5 finished with value: 13.32581053856714 and parameters: {'x': 3.426799091838986, 'y': 4.766966730974683}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,398] Trial 6 finished with value: 7.762294992698612 and parameters: {'x': 0.019741331639572257, 'y': 2.560961316928883}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,399] Trial 7 finished with value: 10.462168809225723 and parameters: {'x': 4.063104808260568, 'y': 3.0626303341469407}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,399] Trial 8 finished with value: 10.766844213449511 and parameters: {'x': 3.6087765871589976, 'y': 1.4593803408531658}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,400] Trial 9 finished with value: 13.513529451283143 and parameters: {'x': 4.588870612564717, 'y': 3.572878916988453}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,401] Trial 10 finished with value: 8.477722801529927 and parameters: {'x': 2.7127218400563065, 'y': 0.7108502380076348}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,402] Trial 11 finished with value: 10.129432776476957 and parameters: {'x': 1.866703800257346, 'y': 3.3706680753317264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,402] Trial 12 finished with value: 8.366790606869595 and parameters: {'x': 2.2091658721149803, 'y': 2.1700699666664685}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,403] Trial 13 finished with value: 10.416955768145217 and parameters: {'x': 3.088834892346586, 'y': 2.5656912127719544}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,404] Trial 14 finished with value: 10.387909622465159 and parameters: {'x': 3.251985909657336, 'y': 3.005194767022722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,405] Trial 15 finished with value: 11.459718019586177 and parameters: {'x': 4.026115984163733, 'y': 2.608235761968171}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,405] Trial 16 finished with value: 12.18680554317172 and parameters: {'x': 4.5432444040433415, 'y': 1.5961804449427264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,406] Trial 17 finished with value: 6.324395711691771 and parameters: {'x': 0.45229674635453687, 'y': 1.5035002831810167}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,407] Trial 18 finished with value: 10.780656392800164 and parameters: {'x': 0.5699218093177488, 'y': 4.143406631538383}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,408] Trial 19 finished with value: 8.416640220838426 and parameters: {'x': 0.23448159694624882, 'y': 3.1314357415569627}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,409] Trial 20 finished with value: 11.302576421368904 and parameters: {'x': 2.737930779596218, 'y': 4.096434978350343}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,409] Trial 21 finished with value: 10.499563087675314 and parameters: {'x': 0.9947376983940615, 'y': 4.284251512288666}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,410] Trial 22 finished with value: 10.513666838860214 and parameters: {'x': 1.7582631971604394, 'y': 3.773238457649286}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,411] Trial 23 finished with value: 11.97926994777533 and parameters: {'x': 1.4798085343983935, 'y': 4.419682397805931}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,412] Trial 24 finished with value: 6.380894606936472 and parameters: {'x': 1.627558189161244, 'y': 0.8250794885957424}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,412] Trial 25 finished with value: 6.685983992257508 and parameters: {'x': 1.9626462197329364, 'y': 0.4673018727932515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,413] Trial 26 finished with value: 10.125719905741311 and parameters: {'x': 4.105528289184642, 'y': 0.7557600982128193}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,414] Trial 27 finished with value: 11.573099481049313 and parameters: {'x': 1.920572243460998, 'y': 4.721303561194006}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,414] Trial 28 finished with value: 12.011941244892594 and parameters: {'x': 4.938127374509361, 'y': 2.2815227354739203}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,415] Trial 29 finished with value: 10.481651724828257 and parameters: {'x': 4.130614219213699, 'y': 1.2568706710352968}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,416] Trial 30 finished with value: 12.415913516504961 and parameters: {'x': 2.9868582411544216, 'y': 4.514158801658137}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,417] Trial 31 finished with value: 10.053592439013652 and parameters: {'x': 2.6727897440090755, 'y': 2.9510068149271147}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,417] Trial 32 finished with value: 5.886579856572837 and parameters: {'x': 0.19640883612693671, 'y': 1.7859087931726814}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,418] Trial 33 finished with value: 6.310127074999574 and parameters: {'x': 0.3980654507798209, 'y': 1.5272995917140912}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,419] Trial 34 finished with value: 10.63044720131769 and parameters: {'x': 1.65359655991066, 'y': 3.8691514810529792}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,420] Trial 35 finished with value: 6.399093285230432 and parameters: {'x': 0.19979604344988633, 'y': 2.1474608921581915}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,420] Trial 36 finished with value: 9.82714713251584 and parameters: {'x': 1.5746343592134415, 'y': 3.1824557153377233}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,421] Trial 37 finished with value: 6.040622694875182 and parameters: {'x': 1.7317357504001651, 'y': 0.2154867810249722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,422] Trial 38 finished with value: 13.124359919044599 and parameters: {'x': 4.39957587258958, 'y': 3.816202935718405}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,423] Trial 39 finished with value: 11.621017540390913 and parameters: {'x': 4.390483213624291, 'y': 2.087545719196335}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,423] Trial 40 finished with value: 10.273148823731859 and parameters: {'x': 3.027887821968784, 'y': 2.567333137041442}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,424] Trial 41 finished with value: 8.74724695064551 and parameters: {'x': 2.989183239814868, 'y': 1.3110783056597515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,425] Trial 42 finished with value: 5.703235939620228 and parameters: {'x': 1.504356544703536, 'y': 0.12699891025053034}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,426] Trial 43 finished with value: 6.8281049033658086 and parameters: {'x': 1.5153128032551737, 'y': 1.2103793770176368}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,426] Trial 44 finished with value: 9.889991012666522 and parameters: {'x': 2.787890943313221, 'y': 2.827535099440838}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,427] Trial 45 finished with value: 8.809099112861492 and parameters: {'x': 2.375661237075253, 'y': 1.4639898814475454}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,428] Trial 46 finished with value: 11.529514400367189 and parameters: {'x': 0.32125530347412223, 'y': 4.894095728788213}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,429] Trial 47 finished with value: 9.116346691166768 and parameters: {'x': 1.6985392181893184, 'y': 2.4752431544122717}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,429] Trial 48 finished with value: 11.665729583461987 and parameters: {'x': 4.885403629613409, 'y': 2.2038691245033326}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,430] Trial 49 finished with value: 9.283138260008634 and parameters: {'x': 1.591364027394756, 'y': 2.5989849293769005}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,431] Trial 50 finished with value: 11.688309982114646 and parameters: {'x': 2.8906821494123376, 'y': 4.269668752502432}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,432] Trial 51 finished with value: 7.7554312065139825 and parameters: {'x': 0.34048636768975016, 'y': 2.3226540388966628}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,432] Trial 52 finished with value: 12.275135396487016 and parameters: {'x': 3.909745593095742, 'y': 3.5930140519112514}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,433] Trial 53 finished with value: 7.599136984880452 and parameters: {'x': 2.9301099002658795, 'y': 0.18547206617203937}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,434] Trial 54 finished with value: 8.971518754151079 and parameters: {'x': 1.7532819564156648, 'y': 2.815953422463725}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,435] Trial 55 finished with value: 9.191843219831416 and parameters: {'x': 1.4986493621228143, 'y': 2.5616707663677465}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,435] Trial 56 finished with value: 9.633721562166217 and parameters: {'x': 3.3673346264236024, 'y': 0.7959686668904675}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,436] Trial 57 finished with value: 6.186229741277476 and parameters: {'x': 0.2523883507699881, 'y': 1.6890794353233973}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,437] Trial 58 finished with value: 4.552022343284264 and parameters: {'x': 0.5403188638972628, 'y': 0.8945140428554521}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,438] Trial 59 finished with value: 11.758020264004587 and parameters: {'x': 4.429135480838529, 'y': 1.826824856070579}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,438] Trial 60 finished with value: 9.65103717665648 and parameters: {'x': 1.0938467458976837, 'y': 3.762480851093014}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,439] Trial 61 finished with value: 10.404668371552354 and parameters: {'x': 0.5343979219678457, 'y': 3.723016203877803}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,440] Trial 62 finished with value: 9.807137735649274 and parameters: {'x': 2.3489264672024723, 'y': 2.991278356395546}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,441] Trial 63 finished with value: 4.297890789772584 and parameters: {'x': 0.7381009614264883, 'y': 0.9201741104657563}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,441] Trial 64 finished with value: 8.956435845330386 and parameters: {'x': 3.2253606323412094, 'y': 0.24314003131702788}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,442] Trial 65 finished with value: 8.694250835326496 and parameters: {'x': 1.2430625390138472, 'y': 2.7120425811400213}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,443] Trial 66 finished with value: 5.986545159935034 and parameters: {'x': 1.133866716350046, 'y': 1.9070576745231604}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,444] Trial 67 finished with value: 14.297386483409563 and parameters: {'x': 4.611163934517731, 'y': 4.626784364338884}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,444] Trial 68 finished with value: 10.180452207698272 and parameters: {'x': 2.8337496228749997, 'y': 2.667354424945013}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,445] Trial 69 finished with value: 10.407363938709986 and parameters: {'x': 0.07430012316614054, 'y': 4.889496317010025}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,446] Trial 70 finished with value: 10.440149099446987 and parameters: {'x': 2.8651445201659294, 'y': 3.95878498138312}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,447] Trial 71 finished with value: 12.32523091547919 and parameters: {'x': 2.8077868013818446, 'y': 4.3866762078246735}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,447] Trial 72 finished with value: 11.31269157398866 and parameters: {'x': 2.9209791426533775, 'y': 3.544249131844776}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,448] Trial 73 finished with value: 6.868040784289896 and parameters: {'x': 0.7426672567822928, 'y': 2.142253694839482}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,449] Trial 74 finished with value: 10.168253595722678 and parameters: {'x': 3.4694503317120584, 'y': 0.5230987226142658}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,450] Trial 75 finished with value: 6.875279830510534 and parameters: {'x': 2.1980261888729524, 'y': 0.8310107385226684}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,450] Trial 76 finished with value: 11.669355532080532 and parameters: {'x': 2.5348931463202367, 'y': 4.095179320681063}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,451] Trial 77 finished with value: 10.375729066395554 and parameters: {'x': 0.45053367362219265, 'y': 4.000343753470726}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,452] Trial 78 finished with value: 9.47494195262567 and parameters: {'x': 2.8256317697890228, 'y': 2.946738558403037}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,453] Trial 79 finished with value: 6.429800222532773 and parameters: {'x': 0.9905032860813445, 'y': 2.1805912766941713}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,453] Trial 80 finished with value: 5.784554009886445 and parameters: {'x': 1.4795188111041868, 'y': 0.18778837970838846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,454] Trial 81 finished with value: 6.944951718546044 and parameters: {'x': 0.15342420186473138, 'y': 2.2655250010061674}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,455] Trial 82 finished with value: 11.32465496841092 and parameters: {'x': 3.7243203847503388, 'y': 2.7864770311819846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,456] Trial 83 finished with value: 5.814616800694608 and parameters: {'x': 1.9255679978274327, 'y': 0.8403639876630931}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,456] Trial 84 finished with value: 11.092120639966868 and parameters: {'x': 4.1913066035184645, 'y': 2.995258987307463}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,457] Trial 85 finished with value: 12.30613781768253 and parameters: {'x': 3.9135740912248558, 'y': 4.242545909473573}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,458] Trial 86 finished with value: 10.276422024397286 and parameters: {'x': 3.0158148793101742, 'y': 3.9053030864514104}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,458] Trial 87 finished with value: 7.479769890494953 and parameters: {'x': 3.0786843801678465, 'y': 0.10582595586077492}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,459] Trial 88 finished with value: 9.671206282931806 and parameters: {'x': 3.752323052437455, 'y': 0.8802106664184695}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,460] Trial 89 finished with value: 9.869658626214864 and parameters: {'x': 2.292571031186365, 'y': 2.5656135386612258}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,461] Trial 90 finished with value: 11.964499715377078 and parameters: {'x': 2.420104451434129, 'y': 4.2219289726967375}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,461] Trial 91 finished with value: 2.826913907516392 and parameters: {'x': 0.874069474110597, 'y': 0.0731743755162495}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,462] Trial 92 finished with value: 12.799381162755227 and parameters: {'x': 4.24382035905616, 'y': 3.7133728864971705}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,463] Trial 93 finished with value: 8.415639605279267 and parameters: {'x': 2.283487676600861, 'y': 2.084492035246889}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,464] Trial 94 finished with value: 6.648507949382903 and parameters: {'x': 0.5836475547348163, 'y': 1.6933956649466986}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,465] Trial 95 finished with value: 10.321671031403987 and parameters: {'x': 0.4732952037182653, 'y': 3.579154363756571}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,465] Trial 96 finished with value: 4.476198346748607 and parameters: {'x': 0.3854270220801931, 'y': 1.0297512918448626}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,466] Trial 97 finished with value: 9.179908484929722 and parameters: {'x': 2.868881157256011, 'y': 1.4691577760188401}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,467] Trial 98 finished with value: 11.609756716580515 and parameters: {'x': 3.278633713572991, 'y': 4.017841738716098}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,468] Trial 99 finished with value: 6.625902168595072 and parameters: {'x': 1.7560675149820437, 'y': 0.4672018847188353}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,468] Trial 100 finished with value: 11.261545077172835 and parameters: {'x': 4.066580418354021, 'y': 3.9243335913847344}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,469] Trial 101 finished with value: 11.190968700537157 and parameters: {'x': 1.967095562182577, 'y': 4.322395969009766}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,470] Trial 102 finished with value: 6.911109890757974 and parameters: {'x': 1.9201538405786622, 'y': 1.2865144360250191}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,471] Trial 103 finished with value: 12.490683781539499 and parameters: {'x': 4.1470095991361795, 'y': 3.681913519192817}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,471] Trial 104 finished with value: 10.848166908046393 and parameters: {'x': 2.538004540274797, 'y': 3.2216330752070848}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,472] Trial 105 finished with value: 11.32542096737529 and parameters: {'x': 1.0659328268932406, 'y': 4.478544743517791}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,473] Trial 106 finished with value: 12.145433872665942 and parameters: {'x': 4.829731257539075, 'y': 1.5850078115289405}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,474] Trial 107 finished with value: 11.786981252421768 and parameters: {'x': 4.327763091136416, 'y': 1.5514185347005949}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,474] Trial 108 finished with value: 2.0472944535777273 and parameters: {'x': 0.12631972715908546, 'y': 0.24597578886864313}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,475] Trial 109 finished with value: 4.145224959722373 and parameters: {'x': 0.9231341900713275, 'y': 0.34516670808627026}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,476] Trial 110 finished with value: 11.931360118539573 and parameters: {'x': 1.2873771170227155, 'y': 4.567908657853373}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,477] Trial 111 finished with value: 7.772705651810355 and parameters: {'x': 2.2892475598720523, 'y': 0.6510589473979744}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,477] Trial 112 finished with value: 9.524332905886311 and parameters: {'x': 4.0494583270008935, 'y': 2.01734920240333}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,478] Trial 113 finished with value: 10.520695532088595 and parameters: {'x': 0.12216322491582055, 'y': 4.284155213138763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,479] Trial 114 finished with value: 10.597438973670814 and parameters: {'x': 1.371474095076981, 'y': 3.5455298203599526}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,480] Trial 115 finished with value: 10.120097947889937 and parameters: {'x': 1.7788617141183165, 'y': 3.971545309132671}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,480] Trial 116 finished with value: 11.960450407585382 and parameters: {'x': 4.223094305719252, 'y': 2.690737585699792}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,481] Trial 117 finished with value: 8.587748682117635 and parameters: {'x': 2.795432582016292, 'y': 0.6125499071870993}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,482] Trial 118 finished with value: 7.369283296210424 and parameters: {'x': 1.8882095928704012, 'y': 2.1437366456452134}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,483] Trial 119 finished with value: 12.663827787679372 and parameters: {'x': 2.556043231427327, 'y': 4.458812849678472}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,483] Trial 120 finished with value: 7.650631541913702 and parameters: {'x': 1.5010530579700654, 'y': 1.9822093943922525}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,484] Trial 121 finished with value: 9.498157519309544 and parameters: {'x': 3.9663661651380706, 'y': 2.061380386767003}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,485] Trial 122 finished with value: 10.019682178888301 and parameters: {'x': 0.9243377499545619, 'y': 4.201236580441953}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,486] Trial 123 finished with value: 8.237633967855434 and parameters: {'x': 2.8463569985064425, 'y': 0.3002510277540982}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,486] Trial 124 finished with value: 10.781591638486919 and parameters: {'x': 4.944584870981005, 'y': 1.1439116660098265}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,487] Trial 125 finished with value: 8.621572297432854 and parameters: {'x': 3.0735085649008482, 'y': 1.8401334041772972}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,488] Trial 126 finished with value: 10.713009182969788 and parameters: {'x': 4.013879681741232, 'y': 3.1378092635281445}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,489] Trial 127 finished with value: 10.98074403397134 and parameters: {'x': 4.106082380991301, 'y': 1.441265693961082}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,489] Trial 128 finished with value: 9.024647633357716 and parameters: {'x': 1.3739756579638436, 'y': 3.00525945566255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,490] Trial 129 finished with value: 13.49082379516863 and parameters: {'x': 4.692570986046688, 'y': 3.5364815467071864}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,491] Trial 130 finished with value: 5.874821960577492 and parameters: {'x': 1.3170158247837875, 'y': 0.6116796055750251}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,492] Trial 131 finished with value: 12.140532436293423 and parameters: {'x': 2.2936211459493183, 'y': 4.8740624969833455}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,492] Trial 132 finished with value: 9.508596165882706 and parameters: {'x': 3.4028718722222235, 'y': 0.9662686614323052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,493] Trial 133 finished with value: 11.43232227635066 and parameters: {'x': 0.233696135806975, 'y': 4.763219683853119}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,494] Trial 134 finished with value: 12.909468873966272 and parameters: {'x': 4.2932450773421325, 'y': 4.139515878742856}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,495] Trial 135 finished with value: 11.717204018330282 and parameters: {'x': 4.819502614191414, 'y': 2.994682245363374}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,495] Trial 136 finished with value: 11.730163602366163 and parameters: {'x': 4.654579179238757, 'y': 0.733844071393634}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,496] Trial 137 finished with value: 6.653881018965677 and parameters: {'x': 0.569801543773461, 'y': 1.8601445108691723}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,497] Trial 138 finished with value: 10.741151207828954 and parameters: {'x': 3.832800632854534, 'y': 1.6057101573247974}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,498] Trial 139 finished with value: 8.041035108445248 and parameters: {'x': 3.1901754067231334, 'y': 0.04610550834939442}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,499] Trial 140 finished with value: 9.248413466368948 and parameters: {'x': 2.71732519237458, 'y': 1.6887732344259176}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,499] Trial 141 finished with value: 14.219077219048492 and parameters: {'x': 4.490121544247577, 'y': 4.703535192416116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,500] Trial 142 finished with value: 6.631265309603911 and parameters: {'x': 1.920609245767847, 'y': 1.9805889617029848}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,501] Trial 143 finished with value: 11.598473392731933 and parameters: {'x': 4.48639972409674, 'y': 0.2941118405092352}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,502] Trial 144 finished with value: 6.694767599306697 and parameters: {'x': 2.0268964421478453, 'y': 0.6508777031545621}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,502] Trial 145 finished with value: 10.288922686627453 and parameters: {'x': 0.4348470446230879, 'y': 3.919821434794939}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,503] Trial 146 finished with value: 9.21998684759554 and parameters: {'x': 1.5228667767331006, 'y': 2.9202793627763453}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,504] Trial 147 finished with value: 13.970932382384035 and parameters: {'x': 4.392330892133315, 'y': 4.403960303067703}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,505] Trial 148 finished with value: 10.220646476518713 and parameters: {'x': 3.004771036228382, 'y': 3.2261387284201657}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,505] Trial 149 finished with value: 6.025594798063533 and parameters: {'x': 0.28314101419053106, 'y': 1.487420484879609}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,506] Trial 150 finished with value: 9.686112989082387 and parameters: {'x': 3.458873037882333, 'y': 0.9451472642781766}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,508] Trial 151 finished with value: 11.477795880312842 and parameters: {'x': 4.015037683584489, 'y': 2.5738187492835642}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,509] Trial 152 finished with value: 9.536662274540596 and parameters: {'x': 3.7864302015780735, 'y': 0.8889437430854896}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,509] Trial 153 finished with value: 8.138475011363663 and parameters: {'x': 0.41310145647746377, 'y': 2.4103598486142923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,510] Trial 154 finished with value: 11.493703576527055 and parameters: {'x': 2.6442693968106306, 'y': 3.481541359044985}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,511] Trial 155 finished with value: 9.341702473870399 and parameters: {'x': 1.023808070150981, 'y': 3.356861649786817}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,512] Trial 156 finished with value: 9.45980967724605 and parameters: {'x': 3.966346626632103, 'y': 0.20868906258480535}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,512] Trial 157 finished with value: 13.378541634779003 and parameters: {'x': 4.816787528607454, 'y': 4.876963585866664}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,513] Trial 158 finished with value: 8.398878019226897 and parameters: {'x': 2.7533039211090755, 'y': 0.3245349120330482}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,514] Trial 159 finished with value: 5.671727248950585 and parameters: {'x': 1.7261839493092874, 'y': 0.1021498440574764}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,515] Trial 160 finished with value: 8.900670733919403 and parameters: {'x': 4.0042590489180805, 'y': 1.039635490660757}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,516] Trial 161 finished with value: 10.104130916382784 and parameters: {'x': 0.7162625545259099, 'y': 3.4994699226462638}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,516] Trial 162 finished with value: 5.315897263639183 and parameters: {'x': 0.28974903005027364, 'y': 1.2830378342449826}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,517] Trial 163 finished with value: 12.628574431426383 and parameters: {'x': 2.551658922744225, 'y': 4.97629392410128}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,518] Trial 164 finished with value: 7.447601498443641 and parameters: {'x': 0.7325783965840083, 'y': 2.247573887993382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,519] Trial 165 finished with value: 8.717294962338975 and parameters: {'x': 3.007201880914031, 'y': 0.48636247069940075}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,519] Trial 166 finished with value: 10.747736503597993 and parameters: {'x': 1.4436744027098762, 'y': 3.603999509537035}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,520] Trial 167 finished with value: 11.672696062044226 and parameters: {'x': 2.754030320204744, 'y': 4.192885075269436}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,521] Trial 168 finished with value: 7.3765020440620965 and parameters: {'x': 2.901656757339883, 'y': 0.9228586830481306}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,522] Trial 169 finished with value: 12.413208648223295 and parameters: {'x': 3.077510585292704, 'y': 4.434775442343052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,522] Trial 170 finished with value: 10.541150607138487 and parameters: {'x': 2.5839463891022096, 'y': 3.130718345632117}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,523] Trial 171 finished with value: 12.756318698680404 and parameters: {'x': 2.525295587782306, 'y': 4.5483128829327715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,524] Trial 172 finished with value: 9.05472987128604 and parameters: {'x': 2.0665232778228515, 'y': 2.677343581458615}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,525] Trial 173 finished with value: 6.621158640130886 and parameters: {'x': 1.713215627822633, 'y': 0.6478838857163005}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,525] Trial 174 finished with value: 13.166998514264037 and parameters: {'x': 3.3141087569999437, 'y': 4.678350009978248}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,526] Trial 175 finished with value: 11.37039215348121 and parameters: {'x': 3.06364590964527, 'y': 4.213692497248822}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,527] Trial 176 finished with value: 11.421697035283117 and parameters: {'x': 1.0895421810142136, 'y': 4.515858698649607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,528] Trial 177 finished with value: 3.399518378372946 and parameters: {'x': 0.04884988559842873, 'y': 1.1290636333171737}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,529] Trial 178 finished with value: 11.790711998551938 and parameters: {'x': 0.6602756363599344, 'y': 4.537714732580255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,529] Trial 179 finished with value: 12.457058855171512 and parameters: {'x': 4.5511531832988155, 'y': 2.9052895356745245}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,530] Trial 180 finished with value: 4.270689977380076 and parameters: {'x': 0.4374652626195269, 'y': 0.5843971978719908}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,531] Trial 181 finished with value: 12.240165558984787 and parameters: {'x': 3.8553562765392724, 'y': 3.6639763439826103}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,532] Trial 182 finished with value: 6.590515277343432 and parameters: {'x': 0.435641784662561, 'y': 1.7873159905994234}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,532] Trial 183 finished with value: 10.17214430542262 and parameters: {'x': 3.8660581087613077, 'y': 0.6573580080587804}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,533] Trial 184 finished with value: 11.43917166431362 and parameters: {'x': 2.68916216926987, 'y': 3.7736178311347457}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,534] Trial 185 finished with value: 8.969937960798413 and parameters: {'x': 1.3626308799556757, 'y': 2.8325849795366413}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,535] Trial 186 finished with value: 10.041893106125363 and parameters: {'x': 2.3834248535833096, 'y': 2.7831034627091973}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,535] Trial 187 finished with value: 10.826547273250752 and parameters: {'x': 2.2036852870690056, 'y': 3.4686868213095585}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,536] Trial 188 finished with value: 12.426924191010318 and parameters: {'x': 3.5911859015982364, 'y': 3.7819117894779923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,537] Trial 189 finished with value: 9.532608489210268 and parameters: {'x': 0.18661004505669543, 'y': 3.394176984464907}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,538] Trial 190 finished with value: 8.135150111944762 and parameters: {'x': 2.386104004539672, 'y': 0.5008569383546607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,539] Trial 191 finished with value: 11.234871968202231 and parameters: {'x': 3.070981168573452, 'y': 4.18957254483098}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,539] Trial 192 finished with value: 10.837341646724049 and parameters: {'x': 3.6694701882941674, 'y': 1.6078279135595364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,540] Trial 193 finished with value: 2.853729868628715 and parameters: {'x': 0.33927655543450175, 'y': 0.1866511853213626}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,541] Trial 194 finished with value: 8.102320702453188 and parameters: {'x': 2.7956265198024104, 'y': 0.8042634963427392}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,542] Trial 195 finished with value: 6.2265106786220485 and parameters: {'x': 1.3394409285104592, 'y': 1.1785597821799847}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,542] Trial 196 finished with value: 3.2200767735665927 and parameters: {'x': 0.0967373080891365, 'y': 0.7584321219748957}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,543] Trial 197 finished with value: 10.792978685682154 and parameters: {'x': 0.1695125656628088, 'y': 4.909174290439391}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,544] Trial 198 finished with value: 10.474479619963939 and parameters: {'x': 1.8024265507702935, 'y': 4.127322642810085}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,545] Trial 199 finished with value: 7.000149994893448 and parameters: {'x': 2.0611870425872763, 'y': 1.2658957315496995}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,545] Trial 200 finished with value: 9.720250252035754 and parameters: {'x': 1.1835543824008021, 'y': 3.865577996383569}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,546] Trial 201 finished with value: 12.227465780083314 and parameters: {'x': 3.3562845256281584, 'y': 3.531654426003335}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,547] Trial 202 finished with value: 12.210582618377428 and parameters: {'x': 4.265777065952011, 'y': 2.6102478341800395}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,548] Trial 203 finished with value: 9.417005707712555 and parameters: {'x': 2.2138482666072563, 'y': 2.7687422062775187}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,548] Trial 204 finished with value: 11.469682332813566 and parameters: {'x': 3.25997424203055, 'y': 3.942769372376201}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,549] Trial 205 finished with value: 12.079734998646657 and parameters: {'x': 4.461347258463439, 'y': 1.5455257933952686}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,550] Trial 206 finished with value: 10.242782580711673 and parameters: {'x': 0.6780488613353464, 'y': 3.7546332592209364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,551] Trial 207 finished with value: 11.349746970151045 and parameters: {'x': 2.634166107685379, 'y': 3.9236929038023707}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,552] Trial 208 finished with value: 10.85409333443086 and parameters: {'x': 2.1496305142828613, 'y': 4.19423293806763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,552] Trial 209 finished with value: 8.748226607352638 and parameters: {'x': 2.6867701271181477, 'y': 1.2521196657508715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,553] Trial 210 finished with value: 3.6675219100206 and parameters: {'x': 0.2944700572038689, 'y': 0.4597464245382382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,554] Trial 211 finished with value: 6.733554910774435 and parameters: {'x': 0.8709997157072319, 'y': 2.1962717529913767}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,555] Trial 212 finished with value: 13.275572772621532 and parameters: {'x': 4.054671125375529, 'y': 4.552010618031673}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,555] Trial 213 finished with value: 9.156372510625387 and parameters: {'x': 2.8804535600599386, 'y': 1.455772148901746}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,556] Trial 214 finished with value: 11.053685497303166 and parameters: {'x': 3.258931858906078, 'y': 3.1896035037778403}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,557] Trial 215 finished with value: 12.688867058298401 and parameters: {'x': 2.5178736985866528, 'y': 4.827763578108981}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,558] Trial 216 finished with value: 13.143915044023823 and parameters: {'x': 4.033455748052451, 'y': 4.642596782018086}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,559] Trial 217 finished with value: 11.501118854064435 and parameters: {'x': 3.0696756333221895, 'y': 4.910019581715506}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,559] Trial 218 finished with value: 9.618849650879131 and parameters: {'x': 3.574939779226631, 'y': 0.043296357086455295}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,560] Trial 219 finished with value: 11.337201623088333 and parameters: {'x': 1.4407279049690558, 'y': 4.206993287509106}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,561] Trial 220 finished with value: 6.882791405849485 and parameters: {'x': 2.215885435136737, 'y': 0.8652486173830182}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,562] Trial 221 finished with value: 10.356085023005411 and parameters: {'x': 0.5726355611313177, 'y': 3.9894029801061537}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,562] Trial 222 finished with value: 10.902930543766338 and parameters: {'x': 3.244525757228069, 'y': 2.50872999073498}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,563] Trial 223 finished with value: 9.72674798257857 and parameters: {'x': 1.428201041160826, 'y': 3.1834791424269584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,564] Trial 224 finished with value: 8.999635175804276 and parameters: {'x': 1.8417095266511174, 'y': 2.6976927167612597}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,565] Trial 225 finished with value: 12.342284304379254 and parameters: {'x': 3.810334009899379, 'y': 4.199437405771903}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,566] Trial 226 finished with value: 8.504027200451612 and parameters: {'x': 0.5247870601084398, 'y': 2.553156541729579}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,566] Trial 227 finished with value: 9.080756473737205 and parameters: {'x': 3.2274433137208787, 'y': 0.7653340712632956}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,567] Trial 228 finished with value: 10.498147057144351 and parameters: {'x': 0.008798245521798864, 'y': 4.8352287661502515}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,568] Trial 229 finished with value: 10.625090716792682 and parameters: {'x': 4.039332666325461, 'y': 1.3703379468173575}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,569] Trial 230 finished with value: 6.1355422884542605 and parameters: {'x': 1.3954480353606296, 'y': 0.6033982071098909}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,569] Trial 231 finished with value: 12.682917751678975 and parameters: {'x': 2.403441324954285, 'y': 4.661509893812813}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,570] Trial 232 finished with value: 11.774995548643213 and parameters: {'x': 4.574637128841343, 'y': 1.219375479879055}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,571] Trial 233 finished with value: 10.978375842604487 and parameters: {'x': 1.9742914820793693, 'y': 4.851197651132945}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,572] Trial 234 finished with value: 12.119938844650308 and parameters: {'x': 1.378098168018807, 'y': 4.6892472043320685}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,573] Trial 235 finished with value: 13.137380053631484 and parameters: {'x': 3.845060785117532, 'y': 4.423593440530303}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,573] Trial 236 finished with value: 11.31174382971022 and parameters: {'x': 4.355024876220002, 'y': 0.7323547961340754}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,574] Trial 237 finished with value: 13.188985764251004 and parameters: {'x': 3.9459439396258817, 'y': 4.546111228357549}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,575] Trial 238 finished with value: 12.775291947108045 and parameters: {'x': 4.190852742653525, 'y': 3.5601559319358116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,576] Trial 239 finished with value: 7.707597241407441 and parameters: {'x': 1.536897092687322, 'y': 1.7689227738549467}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,576] Trial 240 finished with value: 5.22672624314151 and parameters: {'x': 1.1817669761188916, 'y': 0.4490581953161277}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,577] Trial 241 finished with value: 7.510297578894374 and parameters: {'x': 0.9723908716101909, 'y': 3.079039376835584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,578] Trial 242 finished with value: 13.44024542713433 and parameters: {'x': 4.660418377825547, 'y': 3.4554197489155487}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,579] Trial 243 finished with value: 8.844390826703956 and parameters: {'x': 2.8142352335212815, 'y': 1.3187789770627112}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,580] Trial 244 finished with value: 11.40539149996344 and parameters: {'x': 2.6357344044248325, 'y': 4.021914573545422}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,580] Trial 245 finished with value: 6.133436500818917 and parameters: {'x': 1.4753794695299933, 'y': 0.9166927527975044}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,581] Trial 246 finished with value: 9.542874483876695 and parameters: {'x': 0.09866229753310307, 'y': 3.716606159862748}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,582] Trial 247 finished with value: 6.48812817105026 and parameters: {'x': 0.191467020929183, 'y': 2.1683983448692428}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,583] Trial 248 finished with value: 9.554429765837991 and parameters: {'x': 4.1604238065637436, 'y': 0.06729279249878872}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,583] Trial 249 finished with value: 10.10757671940421 and parameters: {'x': 2.546676957570693, 'y': 2.397743500706264}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,584] Trial 250 finished with value: 1.0107616991357382 and parameters: {'x': 0.14827470398864118, 'y': 0.05714263412033127}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,585] Trial 251 finished with value: 6.323876055572224 and parameters: {'x': 1.6592200011724718, 'y': 0.30715539302647477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,586] Trial 252 finished with value: 12.27777005427824 and parameters: {'x': 2.990867540282372, 'y': 4.4296012676131165}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,587] Trial 253 finished with value: 5.888565518184436 and parameters: {'x': 2.0606688768197037, 'y': 0.19136099451097843}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,587] Trial 254 finished with value: 3.846931736921775 and parameters: {'x': 0.40421201895402825, 'y': 0.4095727115092429}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,588] Trial 255 finished with value: 11.116741954263512 and parameters: {'x': 4.046836669107675, 'y': 4.003470014424989}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,589] Trial 256 finished with value: 10.548427810995527 and parameters: {'x': 0.08454905677353852, 'y': 4.306471626153089}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,590] Trial 257 finished with value: 11.794532699469258 and parameters: {'x': 4.556501121762242, 'y': 2.0043834231758106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,590] Trial 258 finished with value: 11.358371336061872 and parameters: {'x': 1.4344534916885388, 'y': 4.2152244263191925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,591] Trial 259 finished with value: 8.604726890176462 and parameters: {'x': 3.0852227648870825, 'y': 0.702993633926971}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,592] Trial 260 finished with value: 10.368046930771534 and parameters: {'x': 1.1437780685795795, 'y': 4.20748985587598}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,593] Trial 261 finished with value: 10.292732211355425 and parameters: {'x': 4.22179236754099, 'y': 1.1007299669031934}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,594] Trial 262 finished with value: 11.369252561448086 and parameters: {'x': 4.05568819876081, 'y': 2.679767669445578}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,594] Trial 263 finished with value: 10.280651858444699 and parameters: {'x': 3.052142244912166, 'y': 2.6193494156314086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,595] Trial 264 finished with value: 8.07278439807948 and parameters: {'x': 3.1981457424778132, 'y': 0.025781740169585343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,596] Trial 265 finished with value: 9.556500701329405 and parameters: {'x': 0.12369391707809763, 'y': 3.4501319265785617}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,597] Trial 266 finished with value: 9.816116481887354 and parameters: {'x': 0.857965097811067, 'y': 3.469653368443282}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,597] Trial 267 finished with value: 5.842310943888105 and parameters: {'x': 1.426328115609064, 'y': 0.27552960390844206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,598] Trial 268 finished with value: 9.184290769515863 and parameters: {'x': 2.911114512930047, 'y': 1.4790936328279773}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,599] Trial 269 finished with value: 12.106973431816996 and parameters: {'x': 1.6140806778765233, 'y': 4.834946939274982}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,600] Trial 270 finished with value: 6.055173789253882 and parameters: {'x': 0.9746733239154337, 'y': 1.7369825257280702}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,601] Trial 271 finished with value: 6.801636111260548 and parameters: {'x': 0.5200703255535455, 'y': 2.0089092623724447}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,601] Trial 272 finished with value: 8.431382325178696 and parameters: {'x': 0.46423822543645576, 'y': 2.5242190323084963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,602] Trial 273 finished with value: 9.429375698322708 and parameters: {'x': 3.712953704723704, 'y': 0.026452545846914477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,603] Trial 274 finished with value: 3.601690824054902 and parameters: {'x': 0.45080584422510395, 'y': 0.2809199045597016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,604] Trial 275 finished with value: 13.867914662524237 and parameters: {'x': 4.421628316832168, 'y': 4.927929283264253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,605] Trial 276 finished with value: 8.12543959172015 and parameters: {'x': 2.6008734281374934, 'y': 0.9920871476639787}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,605] Trial 277 finished with value: 13.061611962615949 and parameters: {'x': 4.666741580415096, 'y': 3.2729910167106846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,606] Trial 278 finished with value: 11.43329057734574 and parameters: {'x': 3.9589587358004352, 'y': 2.556078393056895}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,607] Trial 279 finished with value: 10.536218642414656 and parameters: {'x': 3.9410594618961015, 'y': 1.6739836583743362}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,608] Trial 280 finished with value: 11.836721075355921 and parameters: {'x': 0.5662656720869486, 'y': 4.524069883514123}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,608] Trial 281 finished with value: 2.56045959627064 and parameters: {'x': 0.021119567542035034, 'y': 0.36751940303380193}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,609] Trial 282 finished with value: 11.83237063871328 and parameters: {'x': 0.6614568197768117, 'y': 4.7107495963735}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,610] Trial 283 finished with value: 6.367933259946817 and parameters: {'x': 1.514648431213112, 'y': 1.066565255901516}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,611] Trial 284 finished with value: 5.672598765407816 and parameters: {'x': 1.2783127625776287, 'y': 0.4796003339718996}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,612] Trial 285 finished with value: 10.385824371877787 and parameters: {'x': 2.0089894149954834, 'y': 3.655138201778497}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,612] Trial 286 finished with value: 9.468906639144176 and parameters: {'x': 3.2410496762079544, 'y': 1.2542279041725952}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,613] Trial 287 finished with value: 8.275616859112345 and parameters: {'x': 1.1371945697591408, 'y': 2.4790807917023434}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,614] Trial 288 finished with value: 12.332042617986879 and parameters: {'x': 4.323824833914893, 'y': 3.1703187656142324}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,615] Trial 289 finished with value: 10.616297086619696 and parameters: {'x': 3.7724623745413237, 'y': 2.1856159563386592}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,615] Trial 290 finished with value: 10.436104291698209 and parameters: {'x': 2.001060451213909, 'y': 3.6145815697262718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,616] Trial 291 finished with value: 8.794036139572007 and parameters: {'x': 1.861842897061573, 'y': 2.7629901519965023}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,617] Trial 292 finished with value: 8.543717978852516 and parameters: {'x': 0.40231808678595715, 'y': 2.97137783551767}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,618] Trial 293 finished with value: 10.720706351202566 and parameters: {'x': 1.404607334666036, 'y': 3.712237931572004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,619] Trial 294 finished with value: 10.791279999427607 and parameters: {'x': 1.4941359832634156, 'y': 3.787683420855808}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,619] Trial 295 finished with value: 3.3759630562706633 and parameters: {'x': 1.1318006900942001, 'y': 0.022038224615346658}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,620] Trial 296 finished with value: 6.328225222651152 and parameters: {'x': 0.6989014049359793, 'y': 1.4788185112007963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,621] Trial 297 finished with value: 7.859824043178897 and parameters: {'x': 0.9779690812537833, 'y': 2.7444101892144577}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,622] Trial 298 finished with value: 9.03281296423037 and parameters: {'x': 1.0499608504502294, 'y': 3.8924608513935106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,623] Trial 299 finished with value: 10.620615567321307 and parameters: {'x': 2.423399515211379, 'y': 3.1967019636164173}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,623] Trial 300 finished with value: 11.516797528464172 and parameters: {'x': 0.8384815371736137, 'y': 4.623413018911441}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,624] Trial 301 finished with value: 10.111886767394223 and parameters: {'x': 3.586699756816521, 'y': 0.7740680574908343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,625] Trial 302 finished with value: 9.836637987623748 and parameters: {'x': 3.6181680290969664, 'y': 0.932049629125622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,626] Trial 303 finished with value: 9.558754652272322 and parameters: {'x': 4.148322826217383, 'y': 0.9832088166987718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,627] Trial 304 finished with value: 12.425351652364135 and parameters: {'x': 4.806503345558579, 'y': 2.7379879240822897}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,628] Trial 305 finished with value: 4.323918901870375 and parameters: {'x': 1.114317998680301, 'y': 1.0636334525707207}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,629] Trial 306 finished with value: 10.305612608299866 and parameters: {'x': 3.1399398120322, 'y': 3.16638064574976}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,629] Trial 307 finished with value: 10.97430213769254 and parameters: {'x': 1.516395186429309, 'y': 4.081838757267333}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,630] Trial 308 finished with value: 9.870730647526344 and parameters: {'x': 2.0952835850444718, 'y': 4.069291426169951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,631] Trial 309 finished with value: 11.759512309986066 and parameters: {'x': 1.3260758528051553, 'y': 4.917127357017433}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,632] Trial 310 finished with value: 11.981160675499067 and parameters: {'x': 4.361526613299537, 'y': 2.242622946824728}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,633] Trial 311 finished with value: 5.876524131282984 and parameters: {'x': 1.676922549236917, 'y': 0.1485302699169916}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,634] Trial 312 finished with value: 13.102557317214668 and parameters: {'x': 4.954683743247883, 'y': 3.404747624152946}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,635] Trial 313 finished with value: 3.556361695609432 and parameters: {'x': 0.9457909320079672, 'y': 0.2252277474858655}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,635] Trial 314 finished with value: 8.87521749375287 and parameters: {'x': 0.0656977268124953, 'y': 3.309053083147978}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,636] Trial 315 finished with value: 6.476920544203612 and parameters: {'x': 0.5375617234826391, 'y': 1.5497881965234401}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,637] Trial 316 finished with value: 6.474013023556381 and parameters: {'x': 1.5397372414690502, 'y': 0.5873611308241922}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,638] Trial 317 finished with value: 13.685574803390994 and parameters: {'x': 4.734657103975001, 'y': 4.886952746178025}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,639] Trial 318 finished with value: 13.186159803321855 and parameters: {'x': 4.522396271343545, 'y': 3.980900747325177}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,640] Trial 319 finished with value: 10.182630143544603 and parameters: {'x': 0.32714711433914023, 'y': 3.5851931299846216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,641] Trial 320 finished with value: 7.545386493181928 and parameters: {'x': 2.2795521713986853, 'y': 0.7574185647525072}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,641] Trial 321 finished with value: 8.638261103686963 and parameters: {'x': 3.2336009756118003, 'y': 0.14617285939798774}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,642] Trial 322 finished with value: 13.291024791731683 and parameters: {'x': 3.7676043625502604, 'y': 4.448664730450772}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,643] Trial 323 finished with value: 5.694105094624511 and parameters: {'x': 0.05190019638577792, 'y': 1.6371392140332086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,644] Trial 324 finished with value: 10.783326963098192 and parameters: {'x': 4.142455457362445, 'y': 0.5629879698020956}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,645] Trial 325 finished with value: 9.235517675024784 and parameters: {'x': 0.12347868956855801, 'y': 4.071767644361329}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,646] Trial 326 finished with value: 6.097217281302395 and parameters: {'x': 1.2445263598758256, 'y': 1.2459829781456622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,647] Trial 327 finished with value: 5.959002451181533 and parameters: {'x': 0.7911840003011694, 'y': 1.3802797427861135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,647] Trial 328 finished with value: 7.483850239123026 and parameters: {'x': 2.14355172786834, 'y': 1.2921090270223545}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,648] Trial 329 finished with value: 7.465298730631504 and parameters: {'x': 1.8347352105276098, 'y': 1.746477966487205}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,649] Trial 330 finished with value: 7.702404747451398 and parameters: {'x': 1.66517890218663, 'y': 1.5168359888758993}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,650] Trial 331 finished with value: 7.329359741427874 and parameters: {'x': 1.575636430769551, 'y': 1.351125886959632}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,651] Trial 332 finished with value: 14.078439072449353 and parameters: {'x': 4.501473093762016, 'y': 4.834871016468915}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,652] Trial 333 finished with value: 11.805430242079208 and parameters: {'x': 4.483492736708329, 'y': 1.8663768989833134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,653] Trial 334 finished with value: 10.047661277193004 and parameters: {'x': 3.241396081360119, 'y': 1.5572090773062781}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,654] Trial 335 finished with value: 11.15966514900903 and parameters: {'x': 4.049860509608515, 'y': 4.023864483544081}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,654] Trial 336 finished with value: 10.351940922778217 and parameters: {'x': 3.9720884433516837, 'y': 0.5571758641568014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,655] Trial 337 finished with value: 11.312331656251716 and parameters: {'x': 4.057990718166497, 'y': 3.8977616929827925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,656] Trial 338 finished with value: 12.006578213933567 and parameters: {'x': 4.425400775488195, 'y': 1.612105259116436}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,657] Trial 339 finished with value: 4.546941065900725 and parameters: {'x': 0.5358271586999214, 'y': 0.8062487863403994}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,658] Trial 340 finished with value: 12.265954484314824 and parameters: {'x': 3.3639318073143447, 'y': 3.5707494667728037}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,659] Trial 341 finished with value: 9.686972424965605 and parameters: {'x': 1.1861710149027471, 'y': 4.028586842399676}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,660] Trial 342 finished with value: 13.975807137190671 and parameters: {'x': 4.59148148699102, 'y': 4.923109231094016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,660] Trial 343 finished with value: 12.615031694753085 and parameters: {'x': 4.985235725102164, 'y': 2.5796198033147206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,661] Trial 344 finished with value: 10.144438364863607 and parameters: {'x': 3.5004215430859222, 'y': 0.38279387609597704}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,662] Trial 345 finished with value: 13.285695130939878 and parameters: {'x': 4.5057074837582505, 'y': 4.0679132355585885}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,663] Trial 346 finished with value: 11.478174070108826 and parameters: {'x': 1.7953085662528945, 'y': 4.878518685464871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,664] Trial 347 finished with value: 5.066670251181307 and parameters: {'x': 1.9299304849809777, 'y': 0.0810469599552216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,665] Trial 348 finished with value: 7.725318776920252 and parameters: {'x': 0.09337227681652627, 'y': 2.7206977168107755}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,666] Trial 349 finished with value: 6.533854655052597 and parameters: {'x': 2.2157315861663758, 'y': 0.12850073723539135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,667] Trial 350 finished with value: 7.2859343683842965 and parameters: {'x': 1.8415225727936901, 'y': 2.1016025395545164}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,667] Trial 351 finished with value: 10.684908763016509 and parameters: {'x': 2.0270198062608795, 'y': 4.990388323243462}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,668] Trial 352 finished with value: 6.960187867889932 and parameters: {'x': 0.7833768772095029, 'y': 2.184794533969097}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,669] Trial 353 finished with value: 11.914386023386182 and parameters: {'x': 1.3511632715491224, 'y': 4.844817182998316}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,670] Trial 354 finished with value: 11.293224743723567 and parameters: {'x': 2.949045207579127, 'y': 3.5209321207041686}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,671] Trial 355 finished with value: 11.743346380615318 and parameters: {'x': 3.2496833610633677, 'y': 3.7770354167726987}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,672] Trial 356 finished with value: 11.679458875312944 and parameters: {'x': 4.426571355138362, 'y': 1.2652636739771244}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,673] Trial 357 finished with value: 7.773193283576287 and parameters: {'x': 1.1399690325804452, 'y': 3.013208541388202}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,673] Trial 358 finished with value: 10.168683800840451 and parameters: {'x': 1.1808208021313833, 'y': 3.6549315019705926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,674] Trial 359 finished with value: 9.62287503614435 and parameters: {'x': 3.3199945879638477, 'y': 1.1963746011645409}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,675] Trial 360 finished with value: 6.263740157827893 and parameters: {'x': 0.9295736477647659, 'y': 1.5638785802177801}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,676] Trial 361 finished with value: 8.422765161329606 and parameters: {'x': 1.8316448318363294, 'y': 2.949533951061176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,677] Trial 362 finished with value: 10.768903724134223 and parameters: {'x': 3.796194699561968, 'y': 1.6117538913772222}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,678] Trial 363 finished with value: 10.175476140465943 and parameters: {'x': 2.510110725524435, 'y': 2.9191553264881014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,679] Trial 364 finished with value: 10.554224493626993 and parameters: {'x': 1.3330044128659595, 'y': 3.56923322272833}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,680] Trial 365 finished with value: 10.428277943619925 and parameters: {'x': 2.2863555352433185, 'y': 3.251156861961829}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,680] Trial 366 finished with value: 9.397435687476593 and parameters: {'x': 2.513344192595443, 'y': 2.15696782708575}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,681] Trial 367 finished with value: 9.640255388206626 and parameters: {'x': 3.5888323054397455, 'y': 0.061804212855827156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,682] Trial 368 finished with value: 8.503077368268185 and parameters: {'x': 0.4014718752766372, 'y': 2.881864726744231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,683] Trial 369 finished with value: 10.89528845137693 and parameters: {'x': 4.06810858236602, 'y': 2.807681168241926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,684] Trial 370 finished with value: 7.572310130022002 and parameters: {'x': 3.017958480806348, 'y': 1.1029041260820605}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,685] Trial 371 finished with value: 11.35822683786316 and parameters: {'x': 4.597705213070565, 'y': 1.0275035020467445}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,686] Trial 372 finished with value: 10.334301783289174 and parameters: {'x': 3.441692822984785, 'y': 1.8760491085648985}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,686] Trial 373 finished with value: 9.366825163062781 and parameters: {'x': 1.0576451338911523, 'y': 4.104956711060199}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,687] Trial 374 finished with value: 10.319887087205322 and parameters: {'x': 0.572872190428042, 'y': 3.865253471404385}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,688] Trial 375 finished with value: 12.656247846838099 and parameters: {'x': 2.4153025902913856, 'y': 4.748548781570176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,689] Trial 376 finished with value: 10.336268730046392 and parameters: {'x': 2.7485185814912407, 'y': 2.622131045851649}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,690] Trial 377 finished with value: 12.6936342764527 and parameters: {'x': 4.367924052208163, 'y': 3.23362910079036}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,691] Trial 378 finished with value: 5.688948182824891 and parameters: {'x': 1.6461538485913811, 'y': 0.05224659864543846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,692] Trial 379 finished with value: 10.110830500819509 and parameters: {'x': 0.6854770412019723, 'y': 3.851589561924845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,692] Trial 380 finished with value: 12.273207645707943 and parameters: {'x': 4.165333083527113, 'y': 3.3233982753678104}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,693] Trial 381 finished with value: 12.484656744452234 and parameters: {'x': 2.8777810221359696, 'y': 4.542240526758478}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,694] Trial 382 finished with value: 11.425499761607393 and parameters: {'x': 3.5718757576050404, 'y': 2.4095000943864937}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,695] Trial 383 finished with value: 11.803245457094556 and parameters: {'x': 3.5369494495495686, 'y': 3.1968646099923888}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,696] Trial 384 finished with value: 9.042549452967808 and parameters: {'x': 0.12469722720175491, 'y': 4.015370361224231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,697] Trial 385 finished with value: 10.186575518036205 and parameters: {'x': 3.731743586736484, 'y': 1.9353467643436872}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,698] Trial 386 finished with value: 7.988209696799993 and parameters: {'x': 2.9316049100820516, 'y': 1.1817841776438487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,699] Trial 387 finished with value: 11.299408930796828 and parameters: {'x': 4.943151059515143, 'y': 2.9439116523280573}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,700] Trial 388 finished with value: 10.272115300169695 and parameters: {'x': 0.9953894225731719, 'y': 4.9508387129758065}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,701] Trial 389 finished with value: 11.413230783280214 and parameters: {'x': 4.265506968629001, 'y': 1.7206051686515156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,701] Trial 390 finished with value: 13.098549108408804 and parameters: {'x': 3.2852051919341596, 'y': 4.665301925763098}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,702] Trial 391 finished with value: 9.849913964349092 and parameters: {'x': 2.7953817518114112, 'y': 3.0855253870565784}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,703] Trial 392 finished with value: 12.292270609101232 and parameters: {'x': 2.3449460237387805, 'y': 4.974148831105845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,704] Trial 393 finished with value: 11.315203140090853 and parameters: {'x': 4.667368546076479, 'y': 0.14127706194105194}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,705] Trial 394 finished with value: 8.40520651084406 and parameters: {'x': 2.2419646994476965, 'y': 1.6998795591296951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,706] Trial 395 finished with value: 6.260505038728272 and parameters: {'x': 0.778811726152957, 'y': 1.478223468324038}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,707] Trial 396 finished with value: 11.472437481822912 and parameters: {'x': 3.586250970322703, 'y': 2.4350476434490167}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,708] Trial 397 finished with value: 12.235704085862338 and parameters: {'x': 1.5414894309370952, 'y': 4.599743491318141}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,709] Trial 398 finished with value: 10.519853942161596 and parameters: {'x': 3.478770004972627, 'y': 1.3835972523776308}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,710] Trial 399 finished with value: 11.915337561227599 and parameters: {'x': 3.9657694708972295, 'y': 4.993195560328999}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,711] Trial 400 finished with value: 11.320253002288661 and parameters: {'x': 3.521502151128004, 'y': 2.374145628966899}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,711] Trial 401 finished with value: 11.29090329121093 and parameters: {'x': 3.977316749198101, 'y': 2.6625305621987865}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,712] Trial 402 finished with value: 11.875663331991058 and parameters: {'x': 2.873164558462395, 'y': 4.831149901117671}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,713] Trial 403 finished with value: 12.175443931137195 and parameters: {'x': 4.713437402146087, 'y': 2.946326447389634}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,714] Trial 404 finished with value: 8.300926935758039 and parameters: {'x': 1.147792118520532, 'y': 2.4767743459617138}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,715] Trial 405 finished with value: 8.196354605338419 and parameters: {'x': 2.178274914321877, 'y': 1.6548526008809084}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,716] Trial 406 finished with value: 8.732343943691152 and parameters: {'x': 3.018750335116476, 'y': 0.4734319073153487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,717] Trial 407 finished with value: 11.831532846162496 and parameters: {'x': 0.5787878859449158, 'y': 4.848441660674134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,718] Trial 408 finished with value: 11.467460198669075 and parameters: {'x': 4.7644736377631, 'y': 1.9000070726471474}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,719] Trial 409 finished with value: 13.241272533641627 and parameters: {'x': 4.937879774226172, 'y': 3.5911532254609426}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,720] Trial 410 finished with value: 12.199229033452848 and parameters: {'x': 4.621158542946111, 'y': 1.659022406354706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,721] Trial 411 finished with value: 11.274497517651321 and parameters: {'x': 4.213027646130707, 'y': 3.024612028996253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,721] Trial 412 finished with value: 11.011320355706633 and parameters: {'x': 4.209069911893718, 'y': 0.4391846452987075}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,722] Trial 413 finished with value: 7.835987772707956 and parameters: {'x': 1.7524743073911475, 'y': 2.1459799105722226}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,723] Trial 414 finished with value: 9.801001789392005 and parameters: {'x': 4.0132414178067455, 'y': 1.2103487743058405}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,724] Trial 415 finished with value: 4.897269335440885 and parameters: {'x': 0.016661386459545513, 'y': 1.9432817255369261}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,725] Trial 416 finished with value: 11.680835279899052 and parameters: {'x': 4.607965659748283, 'y': 0.763119379038707}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,726] Trial 417 finished with value: 13.246856664211204 and parameters: {'x': 3.749972298117215, 'y': 4.7374180952583425}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,727] Trial 418 finished with value: 5.387323888817008 and parameters: {'x': 1.253885077828284, 'y': 0.787196297398004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,728] Trial 419 finished with value: 7.624139513333427 and parameters: {'x': 1.7152766785823403, 'y': 1.461602709177967}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,729] Trial 420 finished with value: 8.601597924364475 and parameters: {'x': 1.3520658837907396, 'y': 2.372438113797351}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,730] Trial 421 finished with value: 7.379291585291298 and parameters: {'x': 2.7930189821136464, 'y': 0.031737380005553706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,731] Trial 422 finished with value: 10.891688058409025 and parameters: {'x': 4.217288485526173, 'y': 0.6801696396168871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,731] Trial 423 finished with value: 10.299411814439988 and parameters: {'x': 3.8122101873765697, 'y': 0.41218452352049795}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,732] Trial 424 finished with value: 10.208464294714064 and parameters: {'x': 3.81880576682492, 'y': 1.8169659683865675}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,733] Trial 425 finished with value: 10.028817047410373 and parameters: {'x': 1.2087293105524348, 'y': 3.793127415195745}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,734] Trial 426 finished with value: 7.261182866121507 and parameters: {'x': 0.2790957476830819, 'y': 2.2438680755679603}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,735] Trial 427 finished with value: 14.24707476875786 and parameters: {'x': 4.504128191663766, 'y': 4.536426179394706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,736] Trial 428 finished with value: 11.53130854114426 and parameters: {'x': 2.34440646591819, 'y': 4.155224828254459}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,737] Trial 429 finished with value: 10.035148728001966 and parameters: {'x': 3.339457159272726, 'y': 1.3085702530437353}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,738] Trial 430 finished with value: 12.00190998770292 and parameters: {'x': 1.7877920284854298, 'y': 4.638094994544125}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,739] Trial 431 finished with value: 14.01538390195471 and parameters: {'x': 4.410506190386242, 'y': 4.788139963768522}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,740] Trial 432 finished with value: 4.666091133704892 and parameters: {'x': 1.1059764324677757, 'y': 0.7542856870743286}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,740] Trial 433 finished with value: 8.142015730690124 and parameters: {'x': 0.6161159090355595, 'y': 2.3898397730907184}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,741] Trial 434 finished with value: 11.879730726613051 and parameters: {'x': 1.2871110125996195, 'y': 4.732209161219746}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,742] Trial 435 finished with value: 11.50770167045246 and parameters: {'x': 2.4547123105592443, 'y': 3.6044560976192708}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,743] Trial 436 finished with value: 11.39469182989561 and parameters: {'x': 4.981161330369753, 'y': 2.1766888161941926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,744] Trial 437 finished with value: 0.7804106054859936 and parameters: {'x': 0.10732164140456302, 'y': 0.07550790294400644}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,745] Trial 438 finished with value: 10.429537583216518 and parameters: {'x': 2.3584819107069817, 'y': 3.190198197830021}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,746] Trial 439 finished with value: 4.96540431517192 and parameters: {'x': 0.5277377187120708, 'y': 1.0982878491684678}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,747] Trial 440 finished with value: 12.51959837127892 and parameters: {'x': 3.6746873579644275, 'y': 3.5656393265313238}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,748] Trial 441 finished with value: 13.310419785020215 and parameters: {'x': 4.801937205804211, 'y': 3.656659960854932}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,749] Trial 442 finished with value: 11.149675940912598 and parameters: {'x': 4.200232100305174, 'y': 2.9712838594594713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,749] Trial 443 finished with value: 12.343066204190144 and parameters: {'x': 3.4099618227374546, 'y': 3.554075909742147}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,750] Trial 444 finished with value: 5.6759505823925345 and parameters: {'x': 0.8780434126462405, 'y': 1.9094461322518268}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,751] Trial 445 finished with value: 6.607630149326052 and parameters: {'x': 1.9938793894736069, 'y': 1.935711389319521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,752] Trial 446 finished with value: 6.00431305323762 and parameters: {'x': 0.9366003382596688, 'y': 2.1169233194543096}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,753] Trial 447 finished with value: 13.027263446057466 and parameters: {'x': 3.689892011332293, 'y': 4.950600642632251}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,754] Trial 448 finished with value: 11.06575203582668 and parameters: {'x': 0.3441815521175967, 'y': 4.262229256565206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,755] Trial 449 finished with value: 11.233300822016634 and parameters: {'x': 3.9237478347273207, 'y': 2.3966823952125753}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,756] Trial 450 finished with value: 8.935380249107924 and parameters: {'x': 1.4876991240229658, 'y': 2.4164676051324174}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,757] Trial 451 finished with value: 11.741073301615504 and parameters: {'x': 1.9644552766060486, 'y': 4.498472398791405}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,758] Trial 452 finished with value: 6.082732869229478 and parameters: {'x': 1.400062597877147, 'y': 0.47308219360903625}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,759] Trial 453 finished with value: 8.122986607956738 and parameters: {'x': 2.5225478308799607, 'y': 0.8888340113786181}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,760] Trial 454 finished with value: 10.02573892634024 and parameters: {'x': 1.1571208454981974, 'y': 3.4887523537576577}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,761] Trial 455 finished with value: 14.122725695817879 and parameters: {'x': 4.425953927746668, 'y': 4.4820875653525025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,761] Trial 456 finished with value: 11.12488185820932 and parameters: {'x': 4.034092789320193, 'y': 3.9351871317284477}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,762] Trial 457 finished with value: 10.822916013291252 and parameters: {'x': 4.057685738995707, 'y': 1.6228102359843521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,763] Trial 458 finished with value: 7.799678963438955 and parameters: {'x': 3.104179792814024, 'y': 0.9079559307976542}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,764] Trial 459 finished with value: 13.558071660350077 and parameters: {'x': 4.263230292643333, 'y': 4.789186109978953}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,765] Trial 460 finished with value: 5.379273068061256 and parameters: {'x': 1.2629667463169851, 'y': 0.3471682486006089}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,766] Trial 461 finished with value: 13.503353859353549 and parameters: {'x': 3.6472602799256286, 'y': 4.585275919341306}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,767] Trial 462 finished with value: 9.95189832119296 and parameters: {'x': 4.217291323814577, 'y': 0.06534306686574565}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,768] Trial 463 finished with value: 7.316189589089076 and parameters: {'x': 2.1544055069289936, 'y': 1.977017966150556}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,769] Trial 464 finished with value: 6.837266790743383 and parameters: {'x': 2.107062124054001, 'y': 0.7011774809488025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,770] Trial 465 finished with value: 12.326391259520475 and parameters: {'x': 3.8061924650999472, 'y': 3.4622914922425165}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,771] Trial 466 finished with value: 12.438153329094177 and parameters: {'x': 3.059137452812551, 'y': 4.644550575118717}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,772] Trial 467 finished with value: 10.795756609067213 and parameters: {'x': 3.5770919128123864, 'y': 1.6153670832663791}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,772] Trial 468 finished with value: 12.976661440518908 and parameters: {'x': 4.080223600535277, 'y': 4.7351518146604885}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,773] Trial 469 finished with value: 8.31533623510785 and parameters: {'x': 0.8067232894823856, 'y': 2.6448926126752745}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,774] Trial 470 finished with value: 10.129849179817505 and parameters: {'x': 3.8967028438943183, 'y': 1.7891317967768172}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,775] Trial 471 finished with value: 10.495601334816916 and parameters: {'x': 1.843470804737017, 'y': 3.5058645128464376}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,776] Trial 472 finished with value: 10.088792482724358 and parameters: {'x': 2.7654320858351027, 'y': 3.113727970345309}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,777] Trial 473 finished with value: 8.489489614352319 and parameters: {'x': 1.0263837170960788, 'y': 3.215932794062375}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,778] Trial 474 finished with value: 10.997502590623936 and parameters: {'x': 2.4805922066317883, 'y': 3.284689230485689}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,779] Trial 475 finished with value: 6.291712557698734 and parameters: {'x': 1.4650440056970793, 'y': 0.7063166537840632}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,780] Trial 476 finished with value: 10.93523004668661 and parameters: {'x': 4.183730895251133, 'y': 0.5658401958833559}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,781] Trial 477 finished with value: 7.850438094434846 and parameters: {'x': 0.5599168274764549, 'y': 2.2945630290077066}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,782] Trial 478 finished with value: 11.627074996182836 and parameters: {'x': 2.074821999819689, 'y': 4.727132686901395}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,783] Trial 479 finished with value: 7.797052693640023 and parameters: {'x': 2.060681641475947, 'y': 1.629046569019739}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,783] Trial 480 finished with value: 7.032253172863296 and parameters: {'x': 1.6073255276032867, 'y': 1.246078044226684}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,784] Trial 481 finished with value: 9.717309651594512 and parameters: {'x': 3.694629393054078, 'y': 0.1452253478402482}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,785] Trial 482 finished with value: 9.28452105239339 and parameters: {'x': 3.2417304714517914, 'y': 0.32514601807110965}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,786] Trial 483 finished with value: 5.315871409227775 and parameters: {'x': 1.200964624897748, 'y': 0.4522330920560269}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,787] Trial 484 finished with value: 9.440968128035568 and parameters: {'x': 3.8048243910578416, 'y': 1.0766348745679348}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,788] Trial 485 finished with value: 11.128758047393772 and parameters: {'x': 3.4025495977679103, 'y': 2.3743371466036587}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,789] Trial 486 finished with value: 11.606968638275713 and parameters: {'x': 4.654079612466723, 'y': 0.7898450946089941}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,790] Trial 487 finished with value: 8.164509127866584 and parameters: {'x': 2.4061686085964666, 'y': 0.45546552540126295}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,791] Trial 488 finished with value: 4.215593111143367 and parameters: {'x': 0.8822884373740586, 'y': 0.3681398348093584}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,792] Trial 489 finished with value: 10.402055248667342 and parameters: {'x': 1.7199664697902828, 'y': 3.3849639252179493}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,793] Trial 490 finished with value: 7.395006822537743 and parameters: {'x': 1.3881946345175273, 'y': 1.5523358451185554}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,794] Trial 491 finished with value: 6.0595150997035425 and parameters: {'x': 0.2723050025800139, 'y': 1.5129130477433206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,795] Trial 492 finished with value: 11.838682067772567 and parameters: {'x': 4.276207744351974, 'y': 2.83923223769671}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,795] Trial 493 finished with value: 13.278499721884376 and parameters: {'x': 4.85037561346188, 'y': 3.4596523068267637}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,796] Trial 494 finished with value: 4.549486920521389 and parameters: {'x': 0.6634885345608066, 'y': 0.8018360929305579}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,797] Trial 495 finished with value: 5.690223476399435 and parameters: {'x': 1.9547778130093625, 'y': 0.864218941932488}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,798] Trial 496 finished with value: 3.8395917237234833 and parameters: {'x': 0.13501540166023784, 'y': 1.1454565746303713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,799] Trial 497 finished with value: 9.06181195713635 and parameters: {'x': 2.0097930888484257, 'y': 2.5779436380218317}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,800] Trial 498 finished with value: 4.141706705777526 and parameters: {'x': 1.050766261540541, 'y': 0.8255628900432621}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,801] Trial 499 finished with value: 10.11695865881527 and parameters: {'x': 3.4497399262396455, 'y': 0.47594639104199365}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,802] A new study created in memory with name: x=[0,4), y=[0,4)\n[I 2023-11-01 05:13:25,802] Trial 0 finished with value: 9.859778541798656 and parameters: {'x': 1.3933196794073037, 'y': 3.2358514401958347}. Best is trial 0 with value: 9.859778541798656.\n[I 2023-11-01 05:13:25,803] Trial 1 finished with value: 9.039593212528152 and parameters: {'x': 1.838548751301699, 'y': 2.504497219276703}. Best is trial 1 with value: 9.039593212528152.\n[I 2023-11-01 05:13:25,804] Trial 2 finished with value: 4.244161659801236 and parameters: {'x': 0.8145873234061498, 'y': 0.37470161910149224}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,805] Trial 3 finished with value: 10.707175702169542 and parameters: {'x': 3.902103869064555, 'y': 1.4693753133410787}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,806] Trial 4 finished with value: 7.299292877283396 and parameters: {'x': 2.305135871772639, 'y': 0.9837282718184688}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,807] Trial 5 finished with value: 10.680969952713568 and parameters: {'x': 3.96983477897882, 'y': 2.265084513109098}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,808] Trial 6 finished with value: 10.534469944310851 and parameters: {'x': 2.0671457821091552, 'y': 3.5257358718900864}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,809] Trial 7 finished with value: 6.984222753302996 and parameters: {'x': 0.04765358251977991, 'y': 2.92097283880608}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,809] Trial 8 finished with value: 8.822231479320317 and parameters: {'x': 1.2751187315175243, 'y': 2.600010316693418}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,810] Trial 9 finished with value: 10.098013003294861 and parameters: {'x': 3.30128843589085, 'y': 1.7369520482245924}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,811] Trial 10 finished with value: 6.590857000246849 and parameters: {'x': 0.6273547556415009, 'y': 1.9094396171974033}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,812] Trial 11 finished with value: 5.529780090813791 and parameters: {'x': 1.3200314988592186, 'y': 0.9621656302946389}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,813] Trial 12 finished with value: 7.964652132745382 and parameters: {'x': 2.431829240381084, 'y': 0.8558984720330014}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,814] Trial 13 finished with value: 7.2060689475395385 and parameters: {'x': 1.9347330117135004, 'y': 1.7763143086502295}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,815] Trial 14 finished with value: 7.38790703558322 and parameters: {'x': 1.4591918094157488, 'y': 1.4523362557690818}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,815] Trial 15 finished with value: 6.166968985628692 and parameters: {'x': 0.8561980303273447, 'y': 1.472478142941779}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,816] Trial 16 finished with value: 8.558532033087145 and parameters: {'x': 0.6168391828672339, 'y': 2.836747068751847}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,817] Trial 17 finished with value: 9.338342614865656 and parameters: {'x': 3.298276896472674, 'y': 1.1440750956569046}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,818] Trial 18 finished with value: 11.10649259399895 and parameters: {'x': 2.8214730316745245, 'y': 3.7744207192919066}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,819] Trial 19 finished with value: 6.7236981165918905 and parameters: {'x': 0.5425632260332911, 'y': 1.9664808329550993}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,820] Trial 20 finished with value: 9.197320562025435 and parameters: {'x': 2.6301945639685935, 'y': 2.0897056077133547}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,821] Trial 21 finished with value: 6.564082939358261 and parameters: {'x': 0.5216182433451544, 'y': 1.6125483245888965}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,821] Trial 22 finished with value: 7.760458384259243 and parameters: {'x': 1.649580915829942, 'y': 1.7232746235781753}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,822] Trial 23 finished with value: 4.692281434608283 and parameters: {'x': 0.4763457596546661, 'y': 1.0318764322136516}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,823] Trial 24 finished with value: 10.457106146198148 and parameters: {'x': 1.884117526823101, 'y': 3.515186937291592}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,824] Trial 25 finished with value: 10.28898955389791 and parameters: {'x': 3.1158246006173047, 'y': 3.1838538522785744}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,825] Trial 26 finished with value: 9.331292201439751 and parameters: {'x': 0.017672354936568713, 'y': 3.4211695299212206}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,826] Trial 27 finished with value: 10.060005028037963 and parameters: {'x': 0.786957066684185, 'y': 3.6852471668044555}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,827] Trial 28 finished with value: 3.964292399208695 and parameters: {'x': 0.46295550697412713, 'y': 0.39938900035022407}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,827] Trial 29 finished with value: 10.269990858462307 and parameters: {'x': 1.65981265679325, 'y': 3.320513303194814}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,828] Trial 30 finished with value: 11.268039501438045 and parameters: {'x': 2.633330398842245, 'y': 3.362248171171207}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,829] Trial 31 finished with value: 5.396934020251162 and parameters: {'x': 1.1949167255641462, 'y': 1.1654157413744377}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,830] Trial 32 finished with value: 9.829000907142534 and parameters: {'x': 0.8784560741266598, 'y': 3.4924433376133783}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,831] Trial 33 finished with value: 10.369946123204146 and parameters: {'x': 3.9701276532663954, 'y': 0.4997243304279091}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,832] Trial 34 finished with value: 7.682115993810168 and parameters: {'x': 2.0668884599462567, 'y': 1.4241440362775037}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,833] Trial 35 finished with value: 11.752399043322077 and parameters: {'x': 3.1788488466327007, 'y': 3.5497268271566926}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,833] Trial 36 finished with value: 12.226827133986625 and parameters: {'x': 3.4516564162177263, 'y': 3.4014755174992803}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,834] Trial 37 finished with value: 9.001126604354294 and parameters: {'x': 1.7287436729282057, 'y': 3.039231370839761}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,835] Trial 38 finished with value: 3.7033385075458476 and parameters: {'x': 0.2408286872302634, 'y': 0.9882472155647375}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,836] Trial 39 finished with value: 7.816144951505883 and parameters: {'x': 2.38247805165682, 'y': 1.0733449299813174}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,837] Trial 40 finished with value: 11.480525241689845 and parameters: {'x': 3.75901341027312, 'y': 2.453615193920154}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,838] Trial 41 finished with value: 12.202111886720926 and parameters: {'x': 3.7450474278361403, 'y': 3.7846922598231063}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,839] Trial 42 finished with value: 11.405793594949529 and parameters: {'x': 2.403226350502876, 'y': 3.745084760723254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,840] Trial 43 finished with value: 5.750984516139752 and parameters: {'x': 1.781549861697862, 'y': 0.16127595645851578}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,840] Trial 44 finished with value: 5.54345653122553 and parameters: {'x': 0.2172688339262261, 'y': 1.3822698988079365}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,841] Trial 45 finished with value: 10.060905765872992 and parameters: {'x': 0.7979283545488918, 'y': 3.5741214978277833}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,842] Trial 46 finished with value: 6.959205036747614 and parameters: {'x': 0.5164581753461488, 'y': 2.0663302791013227}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,843] Trial 47 finished with value: 11.03616182271487 and parameters: {'x': 3.9480950365448084, 'y': 3.96645174529096}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,844] Trial 48 finished with value: 6.614950609692865 and parameters: {'x': 0.6310986798933471, 'y': 1.6589654222068524}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,845] Trial 49 finished with value: 9.175626846648905 and parameters: {'x': 2.745981291764348, 'y': 1.4264809557268383}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,846] Trial 50 finished with value: 8.515399997037537 and parameters: {'x': 2.6274468517453085, 'y': 0.6861219767706412}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,846] Trial 51 finished with value: 5.435487475041612 and parameters: {'x': 1.9397491625683356, 'y': 1.0202429416259573}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,847] Trial 52 finished with value: 9.745806897619802 and parameters: {'x': 3.430168293505469, 'y': 0.2317638687174539}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,848] Trial 53 finished with value: 9.752071545230551 and parameters: {'x': 2.7855338170640893, 'y': 3.043792727489718}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,849] Trial 54 finished with value: 4.4704695077871826 and parameters: {'x': 0.5271026419422009, 'y': 0.6223072245090484}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,850] Trial 55 finished with value: 12.03918283506897 and parameters: {'x': 3.2704636918929406, 'y': 3.5829796005976884}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,851] Trial 56 finished with value: 10.18696347807152 and parameters: {'x': 3.9278091591189184, 'y': 2.9741530786699166}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,851] Trial 57 finished with value: 7.556126379464672 and parameters: {'x': 3.0881791182582132, 'y': 0.9834557500733685}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,852] Trial 58 finished with value: 9.185903992885615 and parameters: {'x': 3.3688244164395478, 'y': 0.07370278788612072}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,853] Trial 59 finished with value: 6.280576366644379 and parameters: {'x': 0.5731961180739842, 'y': 1.450687583583008}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,854] Trial 60 finished with value: 7.742064083775642 and parameters: {'x': 1.5656204313309159, 'y': 1.7387483442563485}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,855] Trial 61 finished with value: 11.132968842390083 and parameters: {'x': 3.39312495501294, 'y': 2.843245434223765}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,856] Trial 62 finished with value: 8.567754039160308 and parameters: {'x': 1.8015413117258299, 'y': 2.944191104585469}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,856] Trial 63 finished with value: 4.832743885161232 and parameters: {'x': 0.4465773656006653, 'y': 1.0891525830804647}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,857] Trial 64 finished with value: 11.104507548957141 and parameters: {'x': 2.8701212402413727, 'y': 3.733795236099265}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,858] Trial 65 finished with value: 7.40615921330866 and parameters: {'x': 2.3241082704852536, 'y': 0.9776882221678127}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,859] Trial 66 finished with value: 11.505979204998482 and parameters: {'x': 2.737406586939625, 'y': 3.6572814342341977}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,860] Trial 67 finished with value: 6.534579593040267 and parameters: {'x': 1.2195404608268183, 'y': 1.9017797211719087}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,861] Trial 68 finished with value: 9.930908552455072 and parameters: {'x': 0.5560221319737524, 'y': 3.3681618420035133}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,862] Trial 69 finished with value: 6.901786099055903 and parameters: {'x': 2.272307748983125, 'y': 0.12754687071613713}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,863] Trial 70 finished with value: 9.998882920157838 and parameters: {'x': 0.7698589318554725, 'y': 3.7592329794195254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,863] Trial 71 finished with value: 7.919037470960159 and parameters: {'x': 2.600456136224802, 'y': 0.12119274231295663}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,864] Trial 72 finished with value: 9.62924260549343 and parameters: {'x': 3.5723994726880854, 'y': 0.054357180230217406}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,865] Trial 73 finished with value: 0.2151968790881824 and parameters: {'x': 0.04884273066499656, 'y': 0.016513827190637542}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,866] Trial 74 finished with value: 5.876716919840415 and parameters: {'x': 0.1695058988291449, 'y': 1.5451156431523292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,867] Trial 75 finished with value: 6.50152632645646 and parameters: {'x': 1.253513702284081, 'y': 1.3314201920039643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,868] Trial 76 finished with value: 10.073728693626201 and parameters: {'x': 1.790940909549009, 'y': 3.9306183079192376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,868] Trial 77 finished with value: 11.592961833859302 and parameters: {'x': 3.3382684898030006, 'y': 3.247600734696528}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,869] Trial 78 finished with value: 8.524339728788682 and parameters: {'x': 2.7939800283677414, 'y': 1.9465730742746103}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,870] Trial 79 finished with value: 6.810148362488738 and parameters: {'x': 2.250517079552346, 'y': 0.1412007733389138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,871] Trial 80 finished with value: 4.578449067293313 and parameters: {'x': 0.9513282606596039, 'y': 0.5176395568530854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,872] Trial 81 finished with value: 8.03611178521659 and parameters: {'x': 2.7495574802101426, 'y': 0.8605322444674512}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,873] Trial 82 finished with value: 9.0484191526951 and parameters: {'x': 3.302135926381046, 'y': 0.9473176516728192}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,873] Trial 83 finished with value: 12.120266358270943 and parameters: {'x': 3.6739792951218915, 'y': 3.934808570119411}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,874] Trial 84 finished with value: 10.402439856923305 and parameters: {'x': 1.9698964088020623, 'y': 3.506429165248168}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,875] Trial 85 finished with value: 4.160126567431099 and parameters: {'x': 0.7989548719069344, 'y': 0.3462904341027335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,876] Trial 86 finished with value: 8.553032648925823 and parameters: {'x': 2.9162754648283156, 'y': 0.42806181200585414}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,877] Trial 87 finished with value: 10.608490346655685 and parameters: {'x': 3.2532379182350595, 'y': 3.0910275017250406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,878] Trial 88 finished with value: 3.7015802211423185 and parameters: {'x': 0.2322645623258115, 'y': 0.5625554562742372}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,878] Trial 89 finished with value: 9.191385997850857 and parameters: {'x': 2.547976011875257, 'y': 1.516626324984331}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,879] Trial 90 finished with value: 6.442237775568518 and parameters: {'x': 1.1361400624445248, 'y': 1.4499627343902555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,880] Trial 91 finished with value: 10.0445479409038 and parameters: {'x': 1.1371007311701828, 'y': 3.5410274711784107}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,881] Trial 92 finished with value: 10.977920512951362 and parameters: {'x': 3.757065188327247, 'y': 2.8931772973556926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,882] Trial 93 finished with value: 8.235795283382567 and parameters: {'x': 2.082113472254048, 'y': 2.9454209884361773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,882] Trial 94 finished with value: 9.93034334231159 and parameters: {'x': 3.464529351420215, 'y': 0.28253052622114705}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,883] Trial 95 finished with value: 4.12794561810944 and parameters: {'x': 0.4961925387838706, 'y': 0.44012286036116954}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,884] Trial 96 finished with value: 9.770704684742935 and parameters: {'x': 0.9230872571633748, 'y': 3.490669945563004}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,885] Trial 97 finished with value: 8.019703025801185 and parameters: {'x': 3.1355638961169685, 'y': 1.0714067782110388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,886] Trial 98 finished with value: 10.506967336266714 and parameters: {'x': 3.0207104304758863, 'y': 3.849499571070234}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,887] Trial 99 finished with value: 9.769323851016116 and parameters: {'x': 2.924175184757402, 'y': 2.3448622903364957}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,887] Trial 100 finished with value: 8.640166243405007 and parameters: {'x': 2.7226932337739216, 'y': 0.4994786053724156}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,888] Trial 101 finished with value: 10.089444683751838 and parameters: {'x': 3.871491069827993, 'y': 0.33848581827426116}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,889] Trial 102 finished with value: 8.186227648748062 and parameters: {'x': 1.2200983012467015, 'y': 2.360577004611718}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,890] Trial 103 finished with value: 8.06051983142751 and parameters: {'x': 2.4520107245963514, 'y': 0.8297937319854545}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,891] Trial 104 finished with value: 8.386680858343565 and parameters: {'x': 0.3249375577272491, 'y': 2.6079869824945696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,892] Trial 105 finished with value: 7.348582073690469 and parameters: {'x': 1.067582975461931, 'y': 2.9485118438811426}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,893] Trial 106 finished with value: 6.205295019163518 and parameters: {'x': 2.06997945847861, 'y': 0.8137554383860333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,893] Trial 107 finished with value: 10.986137556963685 and parameters: {'x': 3.5765675535466497, 'y': 2.2201968827903356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,894] Trial 108 finished with value: 11.476111653910753 and parameters: {'x': 3.6031268809452617, 'y': 2.4312641887005704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,895] Trial 109 finished with value: 7.3944165656711185 and parameters: {'x': 2.8733924329055345, 'y': 1.0206703053627808}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,896] Trial 110 finished with value: 8.139625158792638 and parameters: {'x': 2.820147250520451, 'y': 1.1666515616728446}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,897] Trial 111 finished with value: 4.933785005094766 and parameters: {'x': 1.9178777080752796, 'y': 0.021013293830758784}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,898] Trial 112 finished with value: 5.624930891218909 and parameters: {'x': 1.4332515629066673, 'y': 0.17797717789785095}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,899] Trial 113 finished with value: 6.094411408044536 and parameters: {'x': 0.8831892500246643, 'y': 1.7561596489534015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,899] Trial 114 finished with value: 10.350248108508522 and parameters: {'x': 0.5621434508607988, 'y': 3.8269720325807453}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,900] Trial 115 finished with value: 4.446371638664033 and parameters: {'x': 1.0795604822820097, 'y': 0.7805852288782855}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,901] Trial 116 finished with value: 11.379784239135127 and parameters: {'x': 3.635131315146991, 'y': 2.829311753826587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,902] Trial 117 finished with value: 9.874730007709653 and parameters: {'x': 3.4682953737404696, 'y': 0.8220673834864538}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,903] Trial 118 finished with value: 9.807764019725601 and parameters: {'x': 0.9494737467704817, 'y': 3.530087053993743}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,904] Trial 119 finished with value: 11.410294712002278 and parameters: {'x': 3.9871173808297056, 'y': 3.842963180939406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,905] Trial 120 finished with value: 7.719275347795678 and parameters: {'x': 2.0065123631697337, 'y': 1.5455205599702864}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,906] Trial 121 finished with value: 9.277457289195318 and parameters: {'x': 1.6182801213473015, 'y': 3.027341246168199}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,906] Trial 122 finished with value: 7.763855358987204 and parameters: {'x': 0.9363421887709489, 'y': 3.111505973359827}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,907] Trial 123 finished with value: 9.110185341215733 and parameters: {'x': 2.5624184237197096, 'y': 1.8247744584254226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,908] Trial 124 finished with value: 6.528727778503942 and parameters: {'x': 0.40511538340101305, 'y': 1.8765124216775555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,909] Trial 125 finished with value: 12.364248094899766 and parameters: {'x': 3.7277047674793513, 'y': 3.7247168959501478}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,910] Trial 126 finished with value: 11.011311935244251 and parameters: {'x': 2.3685755137917592, 'y': 3.3575240438917673}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,911] Trial 127 finished with value: 7.258172960937385 and parameters: {'x': 1.2317497913178186, 'y': 2.159008680800039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,912] Trial 128 finished with value: 7.430708868599407 and parameters: {'x': 2.3883691403099236, 'y': 0.09910389553271326}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,913] Trial 129 finished with value: 4.377886023640851 and parameters: {'x': 0.7326561110324659, 'y': 0.4290136452924571}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,913] Trial 130 finished with value: 9.679292695512402 and parameters: {'x': 3.7296188437089395, 'y': 0.15512078425954456}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,914] Trial 131 finished with value: 8.925525251448645 and parameters: {'x': 3.9106045264751623, 'y': 0.9588186728514732}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,915] Trial 132 finished with value: 6.6398318289712215 and parameters: {'x': 0.48236236064767146, 'y': 1.7600763848392056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,916] Trial 133 finished with value: 9.293731400441033 and parameters: {'x': 3.128480998346366, 'y': 1.7400833037468666}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,917] Trial 134 finished with value: 9.874323707396623 and parameters: {'x': 3.484209234756394, 'y': 1.0985066631040374}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,918] Trial 135 finished with value: 8.631833679924338 and parameters: {'x': 1.8948794514066605, 'y': 3.117613250216388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,919] Trial 136 finished with value: 10.275675796090006 and parameters: {'x': 3.3991273948311873, 'y': 1.8340578173776851}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,920] Trial 137 finished with value: 10.359721880073934 and parameters: {'x': 2.6267802049016957, 'y': 3.085700377707863}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,921] Trial 138 finished with value: 8.210833865250711 and parameters: {'x': 2.516363850598352, 'y': 0.8196266205695761}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,922] Trial 139 finished with value: 12.022924135876615 and parameters: {'x': 3.389095679740186, 'y': 3.3529398437885245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,922] Trial 140 finished with value: 9.304331326398993 and parameters: {'x': 1.642346402818133, 'y': 2.651197454795302}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,923] Trial 141 finished with value: 8.686674607755023 and parameters: {'x': 1.7089786565719036, 'y': 2.316092187475462}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,924] Trial 142 finished with value: 6.997240891390188 and parameters: {'x': 2.0776459027142766, 'y': 0.5371464989205403}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,925] Trial 143 finished with value: 9.576903304434243 and parameters: {'x': 3.7642216964945523, 'y': 0.9019122546912715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,926] Trial 144 finished with value: 9.803241032909828 and parameters: {'x': 3.5326499741645327, 'y': 0.9714572510032968}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,927] Trial 145 finished with value: 7.8071162529029365 and parameters: {'x': 0.9530674923667211, 'y': 2.7634909126453584}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,928] Trial 146 finished with value: 10.075231814652724 and parameters: {'x': 3.48441276263407, 'y': 0.7180431183628277}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,929] Trial 147 finished with value: 6.375922180024251 and parameters: {'x': 1.8046886318843813, 'y': 0.7459821381585212}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,930] Trial 148 finished with value: 9.413608486585655 and parameters: {'x': 3.933916726426555, 'y': 1.9585479049450258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,930] Trial 149 finished with value: 10.28412430704962 and parameters: {'x': 3.3148229892276877, 'y': 1.535581323171066}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,931] Trial 150 finished with value: 4.350627454821726 and parameters: {'x': 0.21250281775814894, 'y': 1.1646549470884318}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,932] Trial 151 finished with value: 9.291214543796979 and parameters: {'x': 3.767119014514924, 'y': 0.05554223443280559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,933] Trial 152 finished with value: 11.262615388974723 and parameters: {'x': 2.6782951778417865, 'y': 3.9068321042955114}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,934] Trial 153 finished with value: 7.037404672005643 and parameters: {'x': 1.5623448927156396, 'y': 1.2560764485773763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,935] Trial 154 finished with value: 6.290638213631119 and parameters: {'x': 0.9897733601874057, 'y': 1.578485331567916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,936] Trial 155 finished with value: 5.736349520417626 and parameters: {'x': 0.625380744133333, 'y': 1.2821182192654983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,937] Trial 156 finished with value: 6.766715854131045 and parameters: {'x': 2.027214829584737, 'y': 1.8991490484783213}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,937] Trial 157 finished with value: 10.87770316730678 and parameters: {'x': 2.4079485621216716, 'y': 3.282445457145102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,938] Trial 158 finished with value: 10.035889093507278 and parameters: {'x': 1.2347496820084465, 'y': 3.842653042199124}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,939] Trial 159 finished with value: 10.304801724231645 and parameters: {'x': 0.6662920601396958, 'y': 3.6561413772209934}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,940] Trial 160 finished with value: 7.637435938861136 and parameters: {'x': 1.9853065750934986, 'y': 1.4879383070697996}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,941] Trial 161 finished with value: 6.8235965706121124 and parameters: {'x': 1.4821404923034507, 'y': 1.2254013635508776}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,942] Trial 162 finished with value: 5.601998291743918 and parameters: {'x': 1.6890528206784348, 'y': 0.011438891268208184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,943] Trial 163 finished with value: 2.849084346027542 and parameters: {'x': 0.06295370518636378, 'y': 1.031830480408582}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,944] Trial 164 finished with value: 6.399098494880953 and parameters: {'x': 2.0751471528509584, 'y': 0.7772473107038773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,944] Trial 165 finished with value: 8.392320801794583 and parameters: {'x': 1.9414122925975796, 'y': 2.320254719400466}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,945] Trial 166 finished with value: 10.243672123912138 and parameters: {'x': 2.374158598267379, 'y': 3.127409484267983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,946] Trial 167 finished with value: 10.239794754974406 and parameters: {'x': 2.4530394334748618, 'y': 2.597858884115015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,947] Trial 168 finished with value: 8.664885822736856 and parameters: {'x': 2.3260047004211732, 'y': 1.4595369973445482}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,948] Trial 169 finished with value: 8.313484934031424 and parameters: {'x': 0.7976136598357257, 'y': 2.5722926319517176}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,949] Trial 170 finished with value: 7.439426909141176 and parameters: {'x': 0.892794726117486, 'y': 2.3176771815226087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,950] Trial 171 finished with value: 10.764393870053514 and parameters: {'x': 3.3966726052998424, 'y': 2.236227111224998}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,951] Trial 172 finished with value: 7.672732461844447 and parameters: {'x': 0.6565399271869343, 'y': 2.266383207388518}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,952] Trial 173 finished with value: 9.912718580952895 and parameters: {'x': 3.4427460583166134, 'y': 0.767008084023082}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,952] Trial 174 finished with value: 7.492130034499652 and parameters: {'x': 2.431786498107929, 'y': 0.0012019289323461635}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,953] Trial 175 finished with value: 11.432963250400805 and parameters: {'x': 2.398579419032148, 'y': 3.626689061898129}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,954] Trial 176 finished with value: 4.679324472600673 and parameters: {'x': 0.5046659693982054, 'y': 1.0136426491222448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,955] Trial 177 finished with value: 10.014653304662277 and parameters: {'x': 3.6656304163043663, 'y': 0.8136327917263362}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,956] Trial 178 finished with value: 9.42189561442088 and parameters: {'x': 2.9282945598665706, 'y': 2.2735780055911254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,957] Trial 179 finished with value: 8.238792467050876 and parameters: {'x': 0.9229106738167738, 'y': 3.1755356848963574}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,958] Trial 180 finished with value: 10.022809360818055 and parameters: {'x': 1.8937739918677239, 'y': 3.353392061020511}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,959] Trial 181 finished with value: 8.665501391018337 and parameters: {'x': 1.9430207704425881, 'y': 3.1412220082989495}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,960] Trial 182 finished with value: 10.499929595705158 and parameters: {'x': 1.6045313764477873, 'y': 3.3928183933266634}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,960] Trial 183 finished with value: 9.054465657737579 and parameters: {'x': 3.177504629624753, 'y': 1.881574039728204}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,961] Trial 184 finished with value: 3.241811376658486 and parameters: {'x': 0.5532265700325287, 'y': 0.061759306737271036}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,962] Trial 185 finished with value: 7.4816312909029214 and parameters: {'x': 2.24354351082847, 'y': 0.7086458008507504}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,963] Trial 186 finished with value: 8.508435442027885 and parameters: {'x': 2.8176162725062777, 'y': 0.3911023288613231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,964] Trial 187 finished with value: 4.003956371062326 and parameters: {'x': 0.857305088806247, 'y': 0.31075294610825965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,965] Trial 188 finished with value: 9.062669397549 and parameters: {'x': 2.5195873392164465, 'y': 2.027339028317335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,966] Trial 189 finished with value: 12.30418779730045 and parameters: {'x': 3.5218480070541975, 'y': 3.885144033046055}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,967] Trial 190 finished with value: 8.009208681763505 and parameters: {'x': 0.7113367701524909, 'y': 2.3745769144946838}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,967] Trial 191 finished with value: 12.315806722956946 and parameters: {'x': 3.5396118541352206, 'y': 3.879451669911221}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,968] Trial 192 finished with value: 10.020296150989592 and parameters: {'x': 3.469458015012512, 'y': 1.1690347203106715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,969] Trial 193 finished with value: 10.537264287309405 and parameters: {'x': 3.5770634585862493, 'y': 1.3211248037407284}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,970] Trial 194 finished with value: 10.289151352354983 and parameters: {'x': 2.569659832403738, 'y': 2.8024819222942092}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,971] Trial 195 finished with value: 3.731060228910131 and parameters: {'x': 0.24760921660013002, 'y': 0.5521423661189173}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,972] Trial 196 finished with value: 5.9435690466674735 and parameters: {'x': 1.3769545180557197, 'y': 0.7936675641809834}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,972] Trial 197 finished with value: 9.743775215528842 and parameters: {'x': 0.12280025833501451, 'y': 3.6135186276359184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,973] Trial 198 finished with value: 5.873860931591558 and parameters: {'x': 1.0968336994868557, 'y': 2.0440842501161494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,974] Trial 199 finished with value: 10.709851532989827 and parameters: {'x': 1.4035187216015639, 'y': 3.6233773243557295}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,975] Trial 200 finished with value: 9.954064110925012 and parameters: {'x': 3.726106479619608, 'y': 1.1507434606307019}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,976] Trial 201 finished with value: 9.176752015086375 and parameters: {'x': 2.9657694175449376, 'y': 1.6248824147200915}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,977] Trial 202 finished with value: 8.145954329559796 and parameters: {'x': 1.0228360176486495, 'y': 2.5618407253423037}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,977] Trial 203 finished with value: 6.436303642075089 and parameters: {'x': 0.1490956988241905, 'y': 2.189578164919726}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,978] Trial 204 finished with value: 11.111376943310047 and parameters: {'x': 3.8600995766607973, 'y': 2.749935443832355}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,979] Trial 205 finished with value: 9.129251992511671 and parameters: {'x': 1.1056290533154534, 'y': 3.962676922705223}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,980] Trial 206 finished with value: 8.370841149672748 and parameters: {'x': 3.239100750458276, 'y': 0.022500014848797267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,981] Trial 207 finished with value: 9.291509527012558 and parameters: {'x': 3.00568373091447, 'y': 3.0819509181231135}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,982] Trial 208 finished with value: 9.526550833010017 and parameters: {'x': 1.6196305250074117, 'y': 3.1125193232568216}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,982] Trial 209 finished with value: 9.615589923726578 and parameters: {'x': 3.267739114462778, 'y': 0.5385583215982779}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,983] Trial 210 finished with value: 9.531798143488427 and parameters: {'x': 0.25581569974990925, 'y': 3.3448825637277912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,984] Trial 211 finished with value: 8.604070357784977 and parameters: {'x': 0.46414482840332383, 'y': 2.832521354655352}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,985] Trial 212 finished with value: 10.38897582976456 and parameters: {'x': 1.8211110188726547, 'y': 3.7486718651916884}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,986] Trial 213 finished with value: 6.661796469044116 and parameters: {'x': 1.9281477756028131, 'y': 1.926628295959115}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,986] Trial 214 finished with value: 9.292910051092164 and parameters: {'x': 2.7294285878695597, 'y': 1.5245259127637056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,987] Trial 215 finished with value: 11.474812810352063 and parameters: {'x': 2.545072973407813, 'y': 3.482446850845249}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,988] Trial 216 finished with value: 5.7436489654843506 and parameters: {'x': 1.495433610786303, 'y': 0.15421009122365392}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,989] Trial 217 finished with value: 9.730716734806999 and parameters: {'x': 1.0030835880141065, 'y': 3.480006126880088}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,990] Trial 218 finished with value: 10.264000182790559 and parameters: {'x': 2.564834864793566, 'y': 2.484511186533039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,990] Trial 219 finished with value: 9.603307511303695 and parameters: {'x': 1.3610131034034234, 'y': 3.1908647326982806}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,991] Trial 220 finished with value: 4.369001281478198 and parameters: {'x': 1.188627464139461, 'y': 0.18369767028726258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,992] Trial 221 finished with value: 9.76991966254143 and parameters: {'x': 3.8988662451422833, 'y': 0.7602578472113932}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,993] Trial 222 finished with value: 7.137655618781169 and parameters: {'x': 0.8347420348689671, 'y': 2.2420510780813876}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,994] Trial 223 finished with value: 8.91040625724673 and parameters: {'x': 1.359216232474024, 'y': 2.9027621524655793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,995] Trial 224 finished with value: 11.368714852239679 and parameters: {'x': 2.6445670042252885, 'y': 3.876078195544568}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,996] Trial 225 finished with value: 10.370157440060499 and parameters: {'x': 3.388476359892063, 'y': 1.7522052503971564}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,996] Trial 226 finished with value: 11.459382868502663 and parameters: {'x': 3.4584850215221827, 'y': 2.5951719092807926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,997] Trial 227 finished with value: 10.992736541581595 and parameters: {'x': 2.7749761828694957, 'y': 3.8717898238860258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,998] Trial 228 finished with value: 7.960140413458749 and parameters: {'x': 0.9736103991275695, 'y': 3.148002172690902}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,999] Trial 229 finished with value: 10.377944264894046 and parameters: {'x': 2.5711654315986396, 'y': 2.664355196945022}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,000] Trial 230 finished with value: 6.558542754486279 and parameters: {'x': 1.617684226621781, 'y': 0.5009300791074658}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,001] Trial 231 finished with value: 9.801280921370413 and parameters: {'x': 3.348864026127328, 'y': 0.6625226793267869}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,001] Trial 232 finished with value: 9.167661545649594 and parameters: {'x': 2.481063154756097, 'y': 2.0968547757011087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,002] Trial 233 finished with value: 6.150568677473988 and parameters: {'x': 1.4320715535757742, 'y': 0.45112212163791376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,003] Trial 234 finished with value: 10.36635285952934 and parameters: {'x': 2.6644869443995005, 'y': 2.6897335048134448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,004] Trial 235 finished with value: 7.531591242768647 and parameters: {'x': 3.0831372403659976, 'y': 1.0036575398106162}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,005] Trial 236 finished with value: 10.035422239052489 and parameters: {'x': 3.5198774303521683, 'y': 1.1425514372805075}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,006] Trial 237 finished with value: 9.747190810113583 and parameters: {'x': 2.78954877508854, 'y': 2.2980258422520596}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,006] Trial 238 finished with value: 6.647193961090235 and parameters: {'x': 1.5618737305507815, 'y': 1.1428627402717866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,007] Trial 239 finished with value: 8.357914032300853 and parameters: {'x': 0.7818357971652818, 'y': 2.6659101963759047}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,008] Trial 240 finished with value: 9.656882953625262 and parameters: {'x': 3.2838729239453666, 'y': 1.2518782671452753}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,009] Trial 241 finished with value: 4.838606650477356 and parameters: {'x': 1.127651816024295, 'y': 0.7335738505655183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,010] Trial 242 finished with value: 12.064321613162095 and parameters: {'x': 3.3862929216823847, 'y': 3.8922095982680984}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,011] Trial 243 finished with value: 5.822931001256965 and parameters: {'x': 0.843687297412858, 'y': 1.9968974725397945}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,011] Trial 244 finished with value: 8.866855790726733 and parameters: {'x': 1.791902197140785, 'y': 2.4009084063607844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,012] Trial 245 finished with value: 6.557772166801325 and parameters: {'x': 1.9511937840850044, 'y': 1.2280913997344816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,013] Trial 246 finished with value: 9.787312354764817 and parameters: {'x': 3.3850961812501184, 'y': 1.1683630635558386}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,014] Trial 247 finished with value: 8.742829301568904 and parameters: {'x': 1.290558108097346, 'y': 2.4965225650679197}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,015] Trial 248 finished with value: 5.447490691876528 and parameters: {'x': 1.2059451471107838, 'y': 1.1624171543365662}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,016] Trial 249 finished with value: 9.027061550566758 and parameters: {'x': 1.9721500708771305, 'y': 2.5821701263026706}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,016] Trial 250 finished with value: 8.370883952152802 and parameters: {'x': 2.0538727135449584, 'y': 3.0770091803969715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,017] Trial 251 finished with value: 6.1153726013671275 and parameters: {'x': 0.8027764524925125, 'y': 2.032544886977046}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,018] Trial 252 finished with value: 10.426201145618794 and parameters: {'x': 3.530000655936235, 'y': 1.9646909371038488}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,019] Trial 253 finished with value: 11.504352063246044 and parameters: {'x': 3.816490922242502, 'y': 2.574605945133567}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,020] Trial 254 finished with value: 3.6130679732594935 and parameters: {'x': 0.23439520071222253, 'y': 0.9496283244843569}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,021] Trial 255 finished with value: 8.960956292931078 and parameters: {'x': 2.429179382846859, 'y': 2.0614389779376254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,021] Trial 256 finished with value: 7.364789420958257 and parameters: {'x': 3.035093792038067, 'y': 0.9398447121883335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,022] Trial 257 finished with value: 9.673715570709936 and parameters: {'x': 3.1085749997602905, 'y': 3.082467370803549}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,023] Trial 258 finished with value: 9.00033912597185 and parameters: {'x': 1.7433926655885386, 'y': 2.815818892405104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,024] Trial 259 finished with value: 11.24134202520955 and parameters: {'x': 3.830897877980727, 'y': 3.1785503483468083}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,025] Trial 260 finished with value: 9.610231355415435 and parameters: {'x': 0.43688167234642616, 'y': 3.277646712875464}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,025] Trial 261 finished with value: 8.21666138796502 and parameters: {'x': 2.542123575455598, 'y': 0.2751187058016402}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,026] Trial 262 finished with value: 10.75947517839813 and parameters: {'x': 1.5247058737186108, 'y': 3.968763572725166}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,027] Trial 263 finished with value: 9.476301269444532 and parameters: {'x': 3.410888705095577, 'y': 0.13987760450072928}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,028] Trial 264 finished with value: 8.128276506902818 and parameters: {'x': 0.9167791726823133, 'y': 2.5520365155606983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,029] Trial 265 finished with value: 5.660390527847323 and parameters: {'x': 0.13316563567089323, 'y': 1.7738623850744313}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,030] Trial 266 finished with value: 10.03745409879572 and parameters: {'x': 2.4562187521087386, 'y': 2.419717111405486}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,031] Trial 267 finished with value: 10.560729471075781 and parameters: {'x': 3.5383932628189894, 'y': 2.0750260479642955}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,031] Trial 268 finished with value: 6.911335606142488 and parameters: {'x': 1.8383476485245498, 'y': 1.269369919672592}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,032] Trial 269 finished with value: 6.263776883229383 and parameters: {'x': 1.8146924690185848, 'y': 0.7771183396725552}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,033] Trial 270 finished with value: 3.192283264509687 and parameters: {'x': 0.5438691082990537, 'y': 0.03168737130430621}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,034] Trial 271 finished with value: 9.25236139200286 and parameters: {'x': 1.163392218103672, 'y': 3.268717065064702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,035] Trial 272 finished with value: 7.615378153862055 and parameters: {'x': 0.11342996964423246, 'y': 2.781838540120356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,036] Trial 273 finished with value: 12.083086480354083 and parameters: {'x': 3.718917140075738, 'y': 3.3135414546878836}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,036] Trial 274 finished with value: 8.673172499161506 and parameters: {'x': 2.7587041874302267, 'y': 2.001624771327751}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,037] Trial 275 finished with value: 8.175856457154929 and parameters: {'x': 2.262024392522807, 'y': 2.048018787543821}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,038] Trial 276 finished with value: 6.027361661814201 and parameters: {'x': 1.1483245406422165, 'y': 1.9641797906360914}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,039] Trial 277 finished with value: 10.26132967547642 and parameters: {'x': 1.2170697034940483, 'y': 3.6809586684084397}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,040] Trial 278 finished with value: 6.584369196688137 and parameters: {'x': 1.4804530139174736, 'y': 1.1573874484627762}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,041] Trial 279 finished with value: 8.199773560716626 and parameters: {'x': 2.2385982079618105, 'y': 1.7941482446178587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,041] Trial 280 finished with value: 8.719226999352626 and parameters: {'x': 2.330905924819994, 'y': 1.7269819988722892}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,042] Trial 281 finished with value: 7.9595970366033875 and parameters: {'x': 2.5626694586361602, 'y': 0.14912568287478267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,043] Trial 282 finished with value: 11.329548540338816 and parameters: {'x': 3.431748611790516, 'y': 2.4684755464465375}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,044] Trial 283 finished with value: 5.9275598315386375 and parameters: {'x': 2.092801441089609, 'y': 1.0540812353681415}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,045] Trial 284 finished with value: 7.6442036867422924 and parameters: {'x': 2.1315161168892627, 'y': 1.342052211185913}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,046] Trial 285 finished with value: 5.336605414006623 and parameters: {'x': 1.2293885830337024, 'y': 0.39436061033300085}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,047] Trial 286 finished with value: 8.748815175839605 and parameters: {'x': 1.5092662387537024, 'y': 2.33469150262076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,048] Trial 287 finished with value: 10.33057890967017 and parameters: {'x': 3.8696424603175674, 'y': 1.7529400600215008}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,048] Trial 288 finished with value: 8.919797455084531 and parameters: {'x': 2.736416794176971, 'y': 2.0760583880204533}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,049] Trial 289 finished with value: 4.441157898677751 and parameters: {'x': 0.6958328287107154, 'y': 0.470775876927795}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,050] Trial 290 finished with value: 3.900552561783101 and parameters: {'x': 0.5199313793034581, 'y': 0.32732432513248844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,051] Trial 291 finished with value: 8.4180528356603 and parameters: {'x': 0.7484945528039133, 'y': 2.6092566567467186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,052] Trial 292 finished with value: 5.13151636527822 and parameters: {'x': 1.2725579972339172, 'y': 0.24811942487439165}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,053] Trial 293 finished with value: 9.467588278822692 and parameters: {'x': 2.8308688610430583, 'y': 3.0095214839284186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,054] Trial 294 finished with value: 11.40932682166175 and parameters: {'x': 3.5016671059800655, 'y': 3.068332225841167}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,055] Trial 295 finished with value: 11.661897145446092 and parameters: {'x': 3.4223465922726612, 'y': 3.2012730241498057}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,055] Trial 296 finished with value: 9.123309357405901 and parameters: {'x': 2.732092776659147, 'y': 2.127504908381725}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,056] Trial 297 finished with value: 9.58492096234577 and parameters: {'x': 2.812843939728247, 'y': 2.910435060816296}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,057] Trial 298 finished with value: 9.565362051884232 and parameters: {'x': 3.130495435347729, 'y': 2.9985457513559854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,058] Trial 299 finished with value: 7.688521848293625 and parameters: {'x': 2.3808104012848714, 'y': 0.9405175456205148}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,059] Trial 300 finished with value: 9.268401643125605 and parameters: {'x': 2.660731982373358, 'y': 1.6961501616917607}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,060] Trial 301 finished with value: 11.756809498893748 and parameters: {'x': 3.5227386286659543, 'y': 3.1848834998657916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,061] Trial 302 finished with value: 9.282918995429277 and parameters: {'x': 1.600901891232203, 'y': 2.7736174889703293}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,062] Trial 303 finished with value: 7.659822694499102 and parameters: {'x': 2.3514385867290546, 'y': 0.8604323469568076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,063] Trial 304 finished with value: 10.947484710652777 and parameters: {'x': 3.32130714864281, 'y': 3.0857173995915015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,063] Trial 305 finished with value: 9.941649002120565 and parameters: {'x': 3.4685901543950464, 'y': 0.7841745036496555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,064] Trial 306 finished with value: 6.27356836019511 and parameters: {'x': 0.9345120049722722, 'y': 1.5947313886006702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,065] Trial 307 finished with value: 11.83364009119155 and parameters: {'x': 3.753370456866888, 'y': 3.9573484830875594}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,066] Trial 308 finished with value: 11.087232620133545 and parameters: {'x': 2.279350606371401, 'y': 3.7268743041396815}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,067] Trial 309 finished with value: 9.951975997023917 and parameters: {'x': 1.2403215035040316, 'y': 3.907655524302301}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,068] Trial 310 finished with value: 7.450686198128425 and parameters: {'x': 1.4513014117435676, 'y': 1.4980418365942643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,069] Trial 311 finished with value: 8.217850926127987 and parameters: {'x': 2.4311030505177547, 'y': 0.6706713636599648}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,070] Trial 312 finished with value: 12.406694735290257 and parameters: {'x': 3.445533620110704, 'y': 3.6864830191075653}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,071] Trial 313 finished with value: 8.355448839522436 and parameters: {'x': 2.4767818245907787, 'y': 0.4945173522551629}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,072] Trial 314 finished with value: 6.283579650025068 and parameters: {'x': 1.7752592462908199, 'y': 0.7951081388275099}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,072] Trial 315 finished with value: 8.632220504465216 and parameters: {'x': 0.5643025059386781, 'y': 2.684344565673266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,073] Trial 316 finished with value: 6.173476799859856 and parameters: {'x': 0.9955169767369765, 'y': 1.479993490627923}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,074] Trial 317 finished with value: 10.075216693479428 and parameters: {'x': 1.3868514166713086, 'y': 3.2996527689371966}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,075] Trial 318 finished with value: 9.83265703053972 and parameters: {'x': 3.366594797411336, 'y': 0.37837696063200044}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,076] Trial 319 finished with value: 5.7641899377365355 and parameters: {'x': 1.0936157216969309, 'y': 2.0154939269359304}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,077] Trial 320 finished with value: 8.039049361310239 and parameters: {'x': 3.17926984150359, 'y': 0.0792946855486929}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,078] Trial 321 finished with value: 6.374372677227711 and parameters: {'x': 2.1576817063632108, 'y': 0.1816974223108332}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,079] Trial 322 finished with value: 10.692914630859786 and parameters: {'x': 2.191060676892676, 'y': 3.7523333591725074}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,080] Trial 323 finished with value: 4.272621529228328 and parameters: {'x': 0.5120655829592051, 'y': 0.49862800124716555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,080] Trial 324 finished with value: 5.667686004248164 and parameters: {'x': 1.974151489946808, 'y': 1.0873543411469573}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,081] Trial 325 finished with value: 3.14911825941741 and parameters: {'x': 0.05384257085487931, 'y': 0.5119500254322102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,082] Trial 326 finished with value: 11.430558534518452 and parameters: {'x': 3.167994699715818, 'y': 3.7564746079924434}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,083] Trial 327 finished with value: 9.519234463129628 and parameters: {'x': 3.922791270118661, 'y': 1.9209613389345819}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,084] Trial 328 finished with value: 8.54792782659565 and parameters: {'x': 0.6676983242757633, 'y': 2.7206798714034965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,086] Trial 329 finished with value: 10.343957494971903 and parameters: {'x': 3.796174706674506, 'y': 1.7961720398228866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,087] Trial 330 finished with value: 7.393260976478766 and parameters: {'x': 0.9303477639875446, 'y': 2.8881061672077695}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,087] Trial 331 finished with value: 4.168211622506824 and parameters: {'x': 0.568033427516911, 'y': 0.40076474146192886}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,088] Trial 332 finished with value: 8.352151380568776 and parameters: {'x': 2.5248892794224953, 'y': 0.37669484776274276}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,089] Trial 333 finished with value: 10.372212386228597 and parameters: {'x': 0.5486382147448605, 'y': 3.8023016805571226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,090] Trial 334 finished with value: 11.465116931323431 and parameters: {'x': 2.5549011493678657, 'y': 3.9985995148160476}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,091] Trial 335 finished with value: 7.533651547982446 and parameters: {'x': 3.1122260433973805, 'y': 0.06789981521679245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,092] Trial 336 finished with value: 4.518450949546146 and parameters: {'x': 0.8319125264768537, 'y': 0.5088830882153448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,093] Trial 337 finished with value: 11.187215237484192 and parameters: {'x': 2.2890048592452192, 'y': 3.637230987841597}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,094] Trial 338 finished with value: 10.631217468377777 and parameters: {'x': 3.212460725698297, 'y': 3.151238069716407}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,095] Trial 339 finished with value: 7.915541564276795 and parameters: {'x': 2.74287845774048, 'y': 0.9216415115955656}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,095] Trial 340 finished with value: 9.673978866468232 and parameters: {'x': 3.7908591198317727, 'y': 0.1932091267248519}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,096] Trial 341 finished with value: 5.40304171497252 and parameters: {'x': 0.954423029584103, 'y': 1.969828102065398}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,097] Trial 342 finished with value: 12.042616210694453 and parameters: {'x': 3.3733840526910974, 'y': 3.376876997921342}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,098] Trial 343 finished with value: 8.785656690828066 and parameters: {'x': 0.5127988159592372, 'y': 3.034373595835823}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,099] Trial 344 finished with value: 8.058158484803876 and parameters: {'x': 1.1635372808096633, 'y': 3.0573367491756858}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,100] Trial 345 finished with value: 10.362114273889164 and parameters: {'x': 3.347100872005856, 'y': 1.5076593906340912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,100] Trial 346 finished with value: 11.392777604957166 and parameters: {'x': 2.7909279129092934, 'y': 3.6798647776849185}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,101] Trial 347 finished with value: 8.257572560266517 and parameters: {'x': 1.8747106902665256, 'y': 2.9264405129485396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,102] Trial 348 finished with value: 1.191533546628932 and parameters: {'x': 0.04098816215805545, 'y': 0.17575252540152997}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,103] Trial 349 finished with value: 6.528414693370539 and parameters: {'x': 2.0986759869413723, 'y': 1.1635260998377377}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,104] Trial 350 finished with value: 4.578848126507644 and parameters: {'x': 0.7850809443858684, 'y': 0.5846514384255186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,105] Trial 351 finished with value: 4.717440335628027 and parameters: {'x': 1.0561713549229714, 'y': 1.1750808591313686}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,106] Trial 352 finished with value: 8.62433938989944 and parameters: {'x': 2.914436298305064, 'y': 0.5192348455391631}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,106] Trial 353 finished with value: 8.28157910362034 and parameters: {'x': 2.515171096976729, 'y': 0.7715967853955292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,107] Trial 354 finished with value: 8.031780167962317 and parameters: {'x': 2.499557269956178, 'y': 0.2222792532667559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,108] Trial 355 finished with value: 9.137449237447111 and parameters: {'x': 1.677582622614922, 'y': 3.023643543029472}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,109] Trial 356 finished with value: 9.799768279881432 and parameters: {'x': 0.9309103481609493, 'y': 3.653612348612905}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,110] Trial 357 finished with value: 9.14726937689981 and parameters: {'x': 0.9114826668177916, 'y': 3.8759524431225048}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,111] Trial 358 finished with value: 8.644835094085106 and parameters: {'x': 1.2588950259545113, 'y': 2.48788875134704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,112] Trial 359 finished with value: 9.053231827241326 and parameters: {'x': 0.5869817235510006, 'y': 3.130377458831803}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,112] Trial 360 finished with value: 3.411285954506919 and parameters: {'x': 0.7050586121580449, 'y': 0.12680082581006102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,113] Trial 361 finished with value: 6.447468025493851 and parameters: {'x': 1.4220967532913322, 'y': 1.1594983078421475}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,114] Trial 362 finished with value: 9.813601898285599 and parameters: {'x': 3.685269522802166, 'y': 0.8893489297364794}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,115] Trial 363 finished with value: 8.104774870743212 and parameters: {'x': 2.532211234879781, 'y': 0.2291961280504231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,116] Trial 364 finished with value: 11.567426758994019 and parameters: {'x': 3.580392966262677, 'y': 2.534915475101615}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,117] Trial 365 finished with value: 6.430551183634282 and parameters: {'x': 1.8510739401287246, 'y': 0.36315241813681265}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,118] Trial 366 finished with value: 10.196750361368728 and parameters: {'x': 3.9286133392638902, 'y': 3.0065275678507266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,118] Trial 367 finished with value: 11.204693514709696 and parameters: {'x': 3.7055910447225733, 'y': 2.308877509177674}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,119] Trial 368 finished with value: 6.634120639228918 and parameters: {'x': 1.778248827954719, 'y': 0.47372214586660366}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,120] Trial 369 finished with value: 5.539252636912586 and parameters: {'x': 0.013568479012842527, 'y': 1.7195890827411842}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,121] Trial 370 finished with value: 5.976968207153636 and parameters: {'x': 1.7824860939905829, 'y': 0.9016025301978696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,122] Trial 371 finished with value: 5.264081263969686 and parameters: {'x': 1.2636779461519687, 'y': 1.0270311801286396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,123] Trial 372 finished with value: 9.719222267426572 and parameters: {'x': 1.0181424006401238, 'y': 3.686905356694062}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,124] Trial 373 finished with value: 9.17258988928529 and parameters: {'x': 3.0146465869507315, 'y': 1.4200477277472183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,124] Trial 374 finished with value: 10.448858271486321 and parameters: {'x': 1.9164062512120363, 'y': 3.610922045132941}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,125] Trial 375 finished with value: 8.29517954260463 and parameters: {'x': 3.0542344761550297, 'y': 0.7503530230121647}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,126] Trial 376 finished with value: 5.46022332083805 and parameters: {'x': 1.3498322891457715, 'y': 0.23519239497756717}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,127] Trial 377 finished with value: 10.31151529518906 and parameters: {'x': 1.232620618038632, 'y': 3.6810969767719772}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,128] Trial 378 finished with value: 9.620428111076176 and parameters: {'x': 0.05302978990486018, 'y': 3.5562617518764283}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,129] Trial 379 finished with value: 7.145067016910065 and parameters: {'x': 2.8704006458623246, 'y': 0.05856204340429816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,130] Trial 380 finished with value: 7.615509022271754 and parameters: {'x': 2.0298324622047974, 'y': 1.4358335026956333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,130] Trial 381 finished with value: 10.916095141366544 and parameters: {'x': 2.3697860126664643, 'y': 3.321808345274754}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,131] Trial 382 finished with value: 12.399401740420132 and parameters: {'x': 3.466580215969038, 'y': 3.519267049908465}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,132] Trial 383 finished with value: 12.44262680181242 and parameters: {'x': 3.7310071734911925, 'y': 3.6643780634045138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,133] Trial 384 finished with value: 9.142527082249929 and parameters: {'x': 2.882719416839632, 'y': 1.6461840523728104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,134] Trial 385 finished with value: 9.239754233553501 and parameters: {'x': 2.5759608140989747, 'y': 1.5391631459672297}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,135] Trial 386 finished with value: 6.284598645056207 and parameters: {'x': 0.8702285303132826, 'y': 1.672129456953738}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,136] Trial 387 finished with value: 10.152804966108985 and parameters: {'x': 3.6934629366226015, 'y': 0.744845969281184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,136] Trial 388 finished with value: 3.389312682331248 and parameters: {'x': 0.053694591129884284, 'y': 1.1261876829075792}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,137] Trial 389 finished with value: 10.283447623535013 and parameters: {'x': 3.2388795618896027, 'y': 2.974622653487798}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,138] Trial 390 finished with value: 11.302617455565434 and parameters: {'x': 3.515598201960283, 'y': 2.908952204458161}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,139] Trial 391 finished with value: 11.125939966673439 and parameters: {'x': 2.4941310914546113, 'y': 3.325759234467637}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,140] Trial 392 finished with value: 10.816812218801022 and parameters: {'x': 2.4885158267517737, 'y': 3.224158476295799}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,141] Trial 393 finished with value: 10.050727622585395 and parameters: {'x': 1.2107379893350432, 'y': 3.4332492569334763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,142] Trial 394 finished with value: 5.95575827799291 and parameters: {'x': 0.6692460786760335, 'y': 1.3454235380425494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,142] Trial 395 finished with value: 8.903415776483602 and parameters: {'x': 1.006126472829457, 'y': 3.279586119031793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,143] Trial 396 finished with value: 4.547039657651432 and parameters: {'x': 0.7650725322320575, 'y': 0.5336811286061329}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,144] Trial 397 finished with value: 7.646434899367684 and parameters: {'x': 1.5191921106060464, 'y': 1.9600495063208347}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,145] Trial 398 finished with value: 8.23501821441278 and parameters: {'x': 2.464469780852896, 'y': 0.7313268391281604}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,146] Trial 399 finished with value: 8.78323456105996 and parameters: {'x': 2.3595946161420396, 'y': 1.4770688236450096}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,147] Trial 400 finished with value: 11.07950687309173 and parameters: {'x': 2.7633452013271462, 'y': 3.8532351310288586}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,148] Trial 401 finished with value: 9.011181143989141 and parameters: {'x': 0.655696041444696, 'y': 3.149145726131916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,148] Trial 402 finished with value: 0.21108155708882137 and parameters: {'x': 0.025106650762250826, 'y': 0.044143703865536565}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,149] Trial 403 finished with value: 4.526352639294384 and parameters: {'x': 0.6040185419770716, 'y': 0.5878079950089186}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,150] Trial 404 finished with value: 10.340964653977816 and parameters: {'x': 3.922897219307625, 'y': 0.49698547657353664}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,151] Trial 405 finished with value: 11.540325958618682 and parameters: {'x': 2.71638072852915, 'y': 3.569585834030987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,152] Trial 406 finished with value: 6.933258476365397 and parameters: {'x': 2.959069099663764, 'y': 0.04356363809009567}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,153] Trial 407 finished with value: 10.254178574604502 and parameters: {'x': 2.6298707108398554, 'y': 2.4547503705112566}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,154] Trial 408 finished with value: 10.405598398037926 and parameters: {'x': 1.7389756543820347, 'y': 3.3948028236020438}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,154] Trial 409 finished with value: 10.05170557739612 and parameters: {'x': 2.1334557265352014, 'y': 3.868058156883832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,155] Trial 410 finished with value: 7.887839083942328 and parameters: {'x': 1.6287170896550038, 'y': 2.0897524947265884}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,156] Trial 411 finished with value: 10.097956892334187 and parameters: {'x': 0.26943310227075745, 'y': 3.6493057219845557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,157] Trial 412 finished with value: 12.397487232313319 and parameters: {'x': 3.6728053515894983, 'y': 3.7555399684970867}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,158] Trial 413 finished with value: 7.7502659636836295 and parameters: {'x': 2.1963460321873667, 'y': 1.8724424201058856}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,159] Trial 414 finished with value: 12.241300305489641 and parameters: {'x': 3.4785432697512286, 'y': 3.923978720743307}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,160] Trial 415 finished with value: 9.624761197683 and parameters: {'x': 2.996713083928662, 'y': 2.3080426422065425}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,160] Trial 416 finished with value: 8.886410547926278 and parameters: {'x': 0.10292278890589968, 'y': 3.986448817996}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,161] Trial 417 finished with value: 12.100939315290324 and parameters: {'x': 3.771874453396725, 'y': 3.3433333766881055}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,162] Trial 418 finished with value: 9.49851289582427 and parameters: {'x': 1.3519286769698113, 'y': 3.172081894155109}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,163] Trial 419 finished with value: 8.485090347805786 and parameters: {'x': 2.7821019543892733, 'y': 0.3698217566305906}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,164] Trial 420 finished with value: 7.063063066010319 and parameters: {'x': 0.5229450172512125, 'y': 2.09602817646162}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,165] Trial 421 finished with value: 7.590651626257822 and parameters: {'x': 2.280842459714937, 'y': 1.1567589240790626}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,166] Trial 422 finished with value: 10.344647702828512 and parameters: {'x': 3.8273839653448762, 'y': 0.5691294933683881}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,167] Trial 423 finished with value: 8.547161960427571 and parameters: {'x': 1.2455727745592617, 'y': 2.4579433723422466}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,167] Trial 424 finished with value: 2.526398416087993 and parameters: {'x': 0.346073360573548, 'y': 0.07793340180577557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,168] Trial 425 finished with value: 10.148507008831835 and parameters: {'x': 3.999959224017629, 'y': 2.1755982994371954}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,169] Trial 426 finished with value: 9.038592963824982 and parameters: {'x': 2.591949962224946, 'y': 1.9928356931176459}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,170] Trial 427 finished with value: 6.9931641066296955 and parameters: {'x': 2.236211904249122, 'y': 0.21387538672672113}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,171] Trial 428 finished with value: 9.134617235514785 and parameters: {'x': 3.158548992949356, 'y': 2.116827573324681}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,172] Trial 429 finished with value: 3.261339563420208 and parameters: {'x': 1.095888545241697, 'y': 0.08121109210178323}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,173] Trial 430 finished with value: 5.795248953033454 and parameters: {'x': 0.7365576458376459, 'y': 1.3205923166777298}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,173] Trial 431 finished with value: 12.252994876582656 and parameters: {'x': 3.9556281513375544, 'y': 3.599134727042208}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,174] Trial 432 finished with value: 9.50669025502117 and parameters: {'x': 2.2612986337706773, 'y': 2.8305818026196548}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,175] Trial 433 finished with value: 6.17155536225377 and parameters: {'x': 1.4535549443577427, 'y': 0.8061218372041883}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,176] Trial 434 finished with value: 7.330274947797166 and parameters: {'x': 2.998473426438397, 'y': 1.0577641880364999}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,177] Trial 435 finished with value: 8.234903033718643 and parameters: {'x': 2.6969037673592906, 'y': 1.1116266886879185}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,178] Trial 436 finished with value: 10.626381760856646 and parameters: {'x': 2.4911711112382458, 'y': 3.1667404829508645}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,179] Trial 437 finished with value: 6.508127609588357 and parameters: {'x': 1.7007902059654354, 'y': 0.39030525510783143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,180] Trial 438 finished with value: 9.044811275943646 and parameters: {'x': 1.7013920933763602, 'y': 2.858407769926415}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,180] Trial 439 finished with value: 9.008508877213199 and parameters: {'x': 3.041837585563343, 'y': 2.191445148488896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,181] Trial 440 finished with value: 11.905780093271849 and parameters: {'x': 3.226206925709196, 'y': 3.5904942026565596}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,182] Trial 441 finished with value: 9.93731915889512 and parameters: {'x': 3.349901621290708, 'y': 1.2592206426730508}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,183] Trial 442 finished with value: 8.975206970956329 and parameters: {'x': 2.1533551473851507, 'y': 2.3477216015918714}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,184] Trial 443 finished with value: 11.022339107405864 and parameters: {'x': 3.7218204317554098, 'y': 2.969339733446317}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,185] Trial 444 finished with value: 7.793452455376546 and parameters: {'x': 2.9749405864994456, 'y': 0.8144062904287135}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,186] Trial 445 finished with value: 5.3928498697735385 and parameters: {'x': 1.0023536798403767, 'y': 1.9609821375155065}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,186] Trial 446 finished with value: 8.44113147671768 and parameters: {'x': 0.578915866335016, 'y': 2.514276989395927}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,187] Trial 447 finished with value: 9.260996483941742 and parameters: {'x': 2.546649800269987, 'y': 2.103928080274987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,188] Trial 448 finished with value: 8.355894074982917 and parameters: {'x': 2.4916755111872475, 'y': 0.443576668606922}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,189] Trial 449 finished with value: 10.857185288969665 and parameters: {'x': 3.9927550695232834, 'y': 2.780052820739364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,190] Trial 450 finished with value: 9.6700383959976 and parameters: {'x': 3.372010239312165, 'y': 0.27511738674902375}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,191] Trial 451 finished with value: 9.626184795100908 and parameters: {'x': 0.7461085156314828, 'y': 3.337309217922648}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,192] Trial 452 finished with value: 9.649121603028515 and parameters: {'x': 2.789330472287906, 'y': 2.935068581388643}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,193] Trial 453 finished with value: 5.052213553206837 and parameters: {'x': 0.2620305670474905, 'y': 1.2484923925015976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,194] Trial 454 finished with value: 9.222251359304856 and parameters: {'x': 2.782626659345648, 'y': 1.4677608336129824}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,194] Trial 455 finished with value: 10.436945315860191 and parameters: {'x': 3.6936877337548544, 'y': 1.8510790107698516}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,195] Trial 456 finished with value: 4.962481628455059 and parameters: {'x': 0.4089812959284349, 'y': 1.1398111353619549}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,196] Trial 457 finished with value: 6.51230720914808 and parameters: {'x': 1.6231294294881788, 'y': 0.7295441233125257}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,197] Trial 458 finished with value: 10.56229721261589 and parameters: {'x': 1.650641190443264, 'y': 3.426933525709896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,198] Trial 459 finished with value: 9.653118757839884 and parameters: {'x': 2.61592306415803, 'y': 2.2206931869195916}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,199] Trial 460 finished with value: 10.67350425509411 and parameters: {'x': 1.7521963772660163, 'y': 3.558573523393536}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,200] Trial 461 finished with value: 8.708600936674987 and parameters: {'x': 1.9271105969994888, 'y': 2.393237861052923}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,201] Trial 462 finished with value: 3.7506086448421634 and parameters: {'x': 1.0494635736730475, 'y': 0.9584980735204098}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,202] Trial 463 finished with value: 9.598474512965854 and parameters: {'x': 0.03539959574504348, 'y': 3.6231365952220584}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,202] Trial 464 finished with value: 8.974946699354579 and parameters: {'x': 0.9809944954317862, 'y': 3.8863509276479857}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,203] Trial 465 finished with value: 7.772058988673429 and parameters: {'x': 1.0510947219993967, 'y': 3.1081610988411383}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,204] Trial 466 finished with value: 9.276000540651202 and parameters: {'x': 2.6260969953224196, 'y': 2.113940854424979}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,205] Trial 467 finished with value: 9.471032643776867 and parameters: {'x': 0.743259416089181, 'y': 3.2970146386381223}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,206] Trial 468 finished with value: 10.259476572914593 and parameters: {'x': 3.8217833488349022, 'y': 0.6361069051358492}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,207] Trial 469 finished with value: 6.457099650100211 and parameters: {'x': 0.7645348847707507, 'y': 1.6984123902533894}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,208] Trial 470 finished with value: 2.063085021632414 and parameters: {'x': 0.19769269071737483, 'y': 0.18945631103221228}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,209] Trial 471 finished with value: 4.207855684959583 and parameters: {'x': 0.40157342389645523, 'y': 0.594188019456364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,210] Trial 472 finished with value: 4.146218703746907 and parameters: {'x': 0.3423750083190007, 'y': 0.8019459319131306}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,211] Trial 473 finished with value: 10.01353546655346 and parameters: {'x': 2.5958179050471477, 'y': 2.341003534870675}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,212] Trial 474 finished with value: 9.569395460866058 and parameters: {'x': 1.510089205063304, 'y': 3.1127636951494377}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,212] Trial 475 finished with value: 6.283597376683087 and parameters: {'x': 0.7360855719356194, 'y': 1.9490968776301902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,213] Trial 476 finished with value: 7.869681957805096 and parameters: {'x': 0.9096106796882286, 'y': 2.764915570387479}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,214] Trial 477 finished with value: 11.192095977398395 and parameters: {'x': 2.8037299655192665, 'y': 3.7620631677983236}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,215] Trial 478 finished with value: 4.427443669547809 and parameters: {'x': 0.6591004528098448, 'y': 0.47741899872377846}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,216] Trial 479 finished with value: 10.354234141119697 and parameters: {'x': 3.7934581813527313, 'y': 0.44935790813022347}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,217] Trial 480 finished with value: 11.472892968979941 and parameters: {'x': 3.6969090560602127, 'y': 3.1385155822785213}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,218] Trial 481 finished with value: 9.575248257035602 and parameters: {'x': 0.7423717629231437, 'y': 3.3220258703289143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,219] Trial 482 finished with value: 6.708094948839129 and parameters: {'x': 0.11392226349831924, 'y': 2.248702684925605}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,220] Trial 483 finished with value: 7.512671613029504 and parameters: {'x': 1.6545076524482751, 'y': 1.4079545649809178}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,221] Trial 484 finished with value: 9.225371873776844 and parameters: {'x': 3.1197440455956627, 'y': 1.7480286992791503}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,222] Trial 485 finished with value: 8.644775582144975 and parameters: {'x': 3.277433870074068, 'y': 0.03762725050179805}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,222] Trial 486 finished with value: 9.34806610224668 and parameters: {'x': 2.130809674433918, 'y': 2.559396381704046}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,223] Trial 487 finished with value: 10.235510313932078 and parameters: {'x': 1.3029296167223055, 'y': 3.4136852817415533}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,224] Trial 488 finished with value: 8.505807953242515 and parameters: {'x': 2.715452161679803, 'y': 0.6948465727890976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,225] Trial 489 finished with value: 5.927707311877974 and parameters: {'x': 1.3414850400325458, 'y': 0.5075975702630036}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,226] Trial 490 finished with value: 11.103488669840118 and parameters: {'x': 2.319494070977358, 'y': 3.4488429902385724}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,227] Trial 491 finished with value: 10.355196985609664 and parameters: {'x': 3.96479539855673, 'y': 2.2110810986202902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,228] Trial 492 finished with value: 8.829678564856053 and parameters: {'x': 0.17281094473408487, 'y': 3.2493371853435034}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,229] Trial 493 finished with value: 6.7152972835150315 and parameters: {'x': 2.0030516525284563, 'y': 0.6144779672961334}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,230] Trial 494 finished with value: 8.83428182278424 and parameters: {'x': 0.4728307107402876, 'y': 3.058814201887216}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,231] Trial 495 finished with value: 4.5846587937858025 and parameters: {'x': 0.18319816044558834, 'y': 1.2216716397362832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,232] Trial 496 finished with value: 11.24437461300541 and parameters: {'x': 3.3709738172649604, 'y': 2.5037428477898285}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,233] Trial 497 finished with value: 10.611654875736399 and parameters: {'x': 2.1195657505770105, 'y': 3.6646007700484367}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,233] Trial 498 finished with value: 6.9973027578278995 and parameters: {'x': 1.9878017516227215, 'y': 1.8250387245599597}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,234] Trial 499 finished with value: 9.515740035109893 and parameters: {'x': 3.78782724739539, 'y': 0.15184831525247633}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,235] A new study created in memory with name: x=[1,3), y=[1,3)\n[I 2023-11-01 05:13:26,236] Trial 0 finished with value: 9.501280285096856 and parameters: {'x': 2.1795551304711878, 'y': 2.5469138645456475}. Best is trial 0 with value: 9.501280285096856.\n[I 2023-11-01 05:13:26,237] Trial 1 finished with value: 7.689690058529395 and parameters: {'x': 2.116941820323029, 'y': 1.3704460118285542}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:13:26,237] Trial 2 finished with value: 8.869154016661145 and parameters: {'x': 1.734893579523559, 'y': 2.3800301262465355}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:13:26,238] Trial 3 finished with value: 9.217083724375263 and parameters: {'x': 2.5463037482718427, 'y': 1.698250749178961}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:13:26,239] Trial 4 finished with value: 6.620326818681299 and parameters: {'x': 1.3418267714049732, 'y': 1.2749591602362444}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:13:26,240] Trial 5 finished with value: 9.947604021051855 and parameters: {'x': 2.328190210719468, 'y': 2.542129917484096}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:13:26,241] Trial 6 finished with value: 10.111364306571687 and parameters: {'x': 2.992415863822332, 'y': 2.445973518335129}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:13:26,242] Trial 7 finished with value: 8.117689709113845 and parameters: {'x': 2.518112634863238, 'y': 1.0345349209545471}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:13:26,243] Trial 8 finished with value: 8.599980015079133 and parameters: {'x': 1.985150133883719, 'y': 2.361999061196193}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:13:26,243] Trial 9 finished with value: 6.466307419325002 and parameters: {'x': 1.0815335322750994, 'y': 1.6010550958884728}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:13:26,244] Trial 10 finished with value: 8.748658037765297 and parameters: {'x': 1.983065686509458, 'y': 2.4013248906189615}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:13:26,245] Trial 11 finished with value: 4.280422047649996 and parameters: {'x': 1.0053750515354973, 'y': 1.1344853944712368}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,246] Trial 12 finished with value: 7.631641045157027 and parameters: {'x': 1.5136532280501904, 'y': 1.5621179581261906}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,247] Trial 13 finished with value: 5.126684569001355 and parameters: {'x': 1.0943183618191, 'y': 1.2102968958712526}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,248] Trial 14 finished with value: 9.200375404047493 and parameters: {'x': 1.485146457738034, 'y': 2.9442744467689}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,248] Trial 15 finished with value: 9.496066674328905 and parameters: {'x': 2.9893985683076987, 'y': 2.285295712632221}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,249] Trial 16 finished with value: 9.20722421376879 and parameters: {'x': 2.888794756172593, 'y': 2.9479421929365683}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,250] Trial 17 finished with value: 9.820418190182155 and parameters: {'x': 2.7489324125385366, 'y': 2.929928470528349}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,251] Trial 18 finished with value: 7.68682424815664 and parameters: {'x': 1.7693477747355273, 'y': 1.6880511561059623}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,251] Trial 19 finished with value: 6.23361005262851 and parameters: {'x': 1.0278738361908484, 'y': 1.4858953052005117}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,252] Trial 20 finished with value: 8.183951521175912 and parameters: {'x': 2.191259277116293, 'y': 1.4515483770275646}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,253] Trial 21 finished with value: 8.387527249929715 and parameters: {'x': 2.317659241765322, 'y': 1.9236263660786883}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,254] Trial 22 finished with value: 7.28969285733878 and parameters: {'x': 1.7768688655704867, 'y': 1.3408983120046298}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,254] Trial 23 finished with value: 9.661281182879502 and parameters: {'x': 2.2434246133626727, 'y': 2.706378756341615}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,255] Trial 24 finished with value: 9.241054440156928 and parameters: {'x': 1.639685998678829, 'y': 2.550800978853915}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,256] Trial 25 finished with value: 9.492202191083631 and parameters: {'x': 2.8437203833277316, 'y': 2.8949435337203635}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,257] Trial 26 finished with value: 8.739874474944795 and parameters: {'x': 1.459781325603565, 'y': 2.351888773662857}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,258] Trial 27 finished with value: 8.973115982363957 and parameters: {'x': 1.6843967683601837, 'y': 2.4048917604855475}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,258] Trial 28 finished with value: 8.47252181314089 and parameters: {'x': 2.922716542694479, 'y': 1.2624815334953179}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,259] Trial 29 finished with value: 7.849748665716774 and parameters: {'x': 2.0648190920986487, 'y': 1.5820191742716103}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,260] Trial 30 finished with value: 7.225452638805441 and parameters: {'x': 1.3323600161247302, 'y': 2.0169392602346585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,261] Trial 31 finished with value: 8.497265009934077 and parameters: {'x': 1.1907150947448137, 'y': 2.711658305757213}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,262] Trial 32 finished with value: 5.58563603594332 and parameters: {'x': 1.164753074337394, 'y': 1.226778345604655}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,263] Trial 33 finished with value: 7.513168780303209 and parameters: {'x': 1.438771558179375, 'y': 1.8561933890452214}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,264] Trial 34 finished with value: 10.036185032484997 and parameters: {'x': 2.7588346246330424, 'y': 2.8045362579158644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,264] Trial 35 finished with value: 9.725500430892048 and parameters: {'x': 2.248857539172614, 'y': 2.5451257493449897}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,265] Trial 36 finished with value: 9.303195937042831 and parameters: {'x': 2.6499797485839593, 'y': 2.129994395445907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,266] Trial 37 finished with value: 7.504659314912903 and parameters: {'x': 1.4170785888985076, 'y': 1.6023382914670337}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,267] Trial 38 finished with value: 7.594638748301016 and parameters: {'x': 1.8407705077703342, 'y': 1.4766582402639137}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,268] Trial 39 finished with value: 8.334347071558396 and parameters: {'x': 1.1195428355366783, 'y': 2.644368853359082}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,269] Trial 40 finished with value: 7.595379550393446 and parameters: {'x': 1.6520069020915964, 'y': 1.9757114648600385}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,270] Trial 41 finished with value: 8.914385594429811 and parameters: {'x': 1.6470517107976008, 'y': 2.376989100206301}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,271] Trial 42 finished with value: 7.0818112184634625 and parameters: {'x': 1.9628877719392275, 'y': 1.3183124993698585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,271] Trial 43 finished with value: 8.913268618568011 and parameters: {'x': 2.6933015848984994, 'y': 1.8982819389972656}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,272] Trial 44 finished with value: 6.274280378720249 and parameters: {'x': 1.0099471446301753, 'y': 1.527052381039326}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,273] Trial 45 finished with value: 5.204000585932636 and parameters: {'x': 1.216951047813766, 'y': 1.1013262039458973}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,274] Trial 46 finished with value: 9.741805624133733 and parameters: {'x': 2.5259678280944784, 'y': 2.259709570452115}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,275] Trial 47 finished with value: 6.296778616088442 and parameters: {'x': 1.5291890491860796, 'y': 1.0228639505783026}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,276] Trial 48 finished with value: 9.129572645190375 and parameters: {'x': 2.47957554253214, 'y': 1.581063419584534}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,277] Trial 49 finished with value: 10.03449672210819 and parameters: {'x': 2.4140777216988454, 'y': 2.8688241358588593}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,277] Trial 50 finished with value: 7.986420805613088 and parameters: {'x': 1.5869407958655537, 'y': 2.1086035965849828}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,278] Trial 51 finished with value: 7.78469008465053 and parameters: {'x': 1.3794951150973072, 'y': 2.133730616674673}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,279] Trial 52 finished with value: 10.346702498937645 and parameters: {'x': 2.6600353834124157, 'y': 2.5265542823496276}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,280] Trial 53 finished with value: 8.397521047633518 and parameters: {'x': 2.8978919897984197, 'y': 2.0946088457485397}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,281] Trial 54 finished with value: 8.729635565576425 and parameters: {'x': 2.3226416072190963, 'y': 2.1163001449679175}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,282] Trial 55 finished with value: 6.563335605862068 and parameters: {'x': 1.2163645109709191, 'y': 1.871269427619554}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,283] Trial 56 finished with value: 6.873609887768213 and parameters: {'x': 1.2251556830566572, 'y': 1.7367674345443647}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,283] Trial 57 finished with value: 8.80557668194253 and parameters: {'x': 2.3857385187069093, 'y': 1.8044692754689606}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,284] Trial 58 finished with value: 8.48024561077549 and parameters: {'x': 2.859408136043024, 'y': 1.8608932253951125}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,285] Trial 59 finished with value: 7.929450226423043 and parameters: {'x': 1.069350630996834, 'y': 2.4151552500515012}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,286] Trial 60 finished with value: 7.524695733250729 and parameters: {'x': 1.5090899388472594, 'y': 1.4852477824087806}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,287] Trial 61 finished with value: 6.916920537471675 and parameters: {'x': 1.641179571690034, 'y': 1.2137699988751192}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,288] Trial 62 finished with value: 10.022015362074939 and parameters: {'x': 2.354751893467662, 'y': 2.7214581032189935}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,289] Trial 63 finished with value: 5.569058505649405 and parameters: {'x': 1.8750334501787682, 'y': 1.0065938879959706}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,289] Trial 64 finished with value: 9.236481240422165 and parameters: {'x': 2.7225253991380605, 'y': 1.463453956459146}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,290] Trial 65 finished with value: 7.589909153165305 and parameters: {'x': 1.8828143174093952, 'y': 1.4849961540002887}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,291] Trial 66 finished with value: 6.057427416925147 and parameters: {'x': 1.1136598146306471, 'y': 2.0651176783638157}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,292] Trial 67 finished with value: 5.333604535066673 and parameters: {'x': 1.1521593149514442, 'y': 1.1967712091492033}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,293] Trial 68 finished with value: 8.47663339990434 and parameters: {'x': 2.7331662465388735, 'y': 1.1946410227095325}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,294] Trial 69 finished with value: 6.1557427755607605 and parameters: {'x': 2.115689757806627, 'y': 1.075954418838918}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,295] Trial 70 finished with value: 8.21432386178338 and parameters: {'x': 2.426697315572791, 'y': 1.1610984577096755}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,296] Trial 71 finished with value: 9.150950844862605 and parameters: {'x': 1.4810568123213028, 'y': 2.5428552435500063}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,296] Trial 72 finished with value: 6.446630137296186 and parameters: {'x': 1.9154490857784012, 'y': 1.2081435102536793}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,297] Trial 73 finished with value: 7.702963494527083 and parameters: {'x': 1.5491345118660198, 'y': 1.5939876007739795}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,298] Trial 74 finished with value: 7.005032748152567 and parameters: {'x': 1.826844626954173, 'y': 1.9268425602050288}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,299] Trial 75 finished with value: 9.27183740472173 and parameters: {'x': 1.498215097882374, 'y': 2.676718866467224}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,300] Trial 76 finished with value: 6.1788202097104445 and parameters: {'x': 1.4090942518581993, 'y': 1.092598285985039}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,301] Trial 77 finished with value: 8.983446483572983 and parameters: {'x': 2.2413872996736677, 'y': 2.262636501594432}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,302] Trial 78 finished with value: 8.216516191382501 and parameters: {'x': 1.1779154251103852, 'y': 2.812668726136599}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,302] Trial 79 finished with value: 8.454386883504299 and parameters: {'x': 2.3305972180416967, 'y': 1.9835764247236907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,303] Trial 80 finished with value: 7.850643863378659 and parameters: {'x': 1.7388072343407257, 'y': 2.1404356549330252}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,304] Trial 81 finished with value: 8.548120869822377 and parameters: {'x': 1.2355723676495973, 'y': 2.4716454451936927}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,305] Trial 82 finished with value: 8.386285418856902 and parameters: {'x': 2.7552139515981446, 'y': 1.1836615335225171}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,306] Trial 83 finished with value: 9.33277811056341 and parameters: {'x': 2.2088941144948118, 'y': 2.792964798250159}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,307] Trial 84 finished with value: 10.191009221350768 and parameters: {'x': 2.585848255012078, 'y': 2.9630703840002472}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,308] Trial 85 finished with value: 9.199310232934744 and parameters: {'x': 2.748849783785084, 'y': 1.441554730785663}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,309] Trial 86 finished with value: 9.2646294664593 and parameters: {'x': 1.5948713689545138, 'y': 2.8027793439493904}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,310] Trial 87 finished with value: 7.080688050613922 and parameters: {'x': 1.9661671599435053, 'y': 1.8037364200866381}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,311] Trial 88 finished with value: 9.013415425450534 and parameters: {'x': 2.4163310734970684, 'y': 1.636886697540102}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,312] Trial 89 finished with value: 6.866821452286725 and parameters: {'x': 1.890540471699981, 'y': 1.88483373776394}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,312] Trial 90 finished with value: 5.959158557344825 and parameters: {'x': 1.3281373141813404, 'y': 1.125500051842644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,313] Trial 91 finished with value: 7.87159220193886 and parameters: {'x': 2.359511515835968, 'y': 1.1279106069988678}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,314] Trial 92 finished with value: 9.202654686101095 and parameters: {'x': 1.4685789842334418, 'y': 2.604580581576726}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,315] Trial 93 finished with value: 7.6448009517846 and parameters: {'x': 2.0921232065193225, 'y': 1.73682311950304}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,316] Trial 94 finished with value: 6.6725930457942475 and parameters: {'x': 1.6921203518903358, 'y': 1.1628807707949569}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,317] Trial 95 finished with value: 6.116863193669975 and parameters: {'x': 1.0694790248579369, 'y': 1.4104985430277928}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,317] Trial 96 finished with value: 8.847283521590567 and parameters: {'x': 1.9662722891008542, 'y': 2.701251138159574}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,318] Trial 97 finished with value: 8.443230082626295 and parameters: {'x': 2.2382451209071936, 'y': 1.6551477720943748}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,319] Trial 98 finished with value: 7.671184542786042 and parameters: {'x': 1.9676209973302294, 'y': 1.5656060031227454}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,320] Trial 99 finished with value: 4.788155844147777 and parameters: {'x': 1.0151800894576377, 'y': 1.200455850814773}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,321] Trial 100 finished with value: 4.045505869420193 and parameters: {'x': 1.0652252404158025, 'y': 1.0635003202026654}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,322] Trial 101 finished with value: 9.330788286768396 and parameters: {'x': 2.4173773897708193, 'y': 2.1901578920897675}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,323] Trial 102 finished with value: 7.069570698766446 and parameters: {'x': 1.1168049032504792, 'y': 2.222497516983431}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,324] Trial 103 finished with value: 6.317079292167321 and parameters: {'x': 1.0975025588917013, 'y': 2.12549533279568}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,324] Trial 104 finished with value: 9.29855178082329 and parameters: {'x': 1.5324004580461716, 'y': 2.723016150949123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,325] Trial 105 finished with value: 9.192696852614601 and parameters: {'x': 1.4808206774849857, 'y': 2.579008136152047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,326] Trial 106 finished with value: 8.408472658306273 and parameters: {'x': 2.831926346840218, 'y': 1.9197290242202152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,327] Trial 107 finished with value: 10.135310503921435 and parameters: {'x': 2.432192587200304, 'y': 2.5119874467684147}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,328] Trial 108 finished with value: 8.879378516475859 and parameters: {'x': 1.7407377105650303, 'y': 2.3855217737559635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,329] Trial 109 finished with value: 9.055230122907686 and parameters: {'x': 2.717636437055245, 'y': 2.0991095781429183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,330] Trial 110 finished with value: 7.293293823977846 and parameters: {'x': 1.0877372743905704, 'y': 2.273650413650829}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,330] Trial 111 finished with value: 8.919022535429784 and parameters: {'x': 2.95854396879389, 'y': 1.719039694018197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,331] Trial 112 finished with value: 7.3372819602724455 and parameters: {'x': 1.3623366154825576, 'y': 1.5554901490716264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,332] Trial 113 finished with value: 9.030101823932666 and parameters: {'x': 2.6595623168637306, 'y': 1.349405406692998}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,333] Trial 114 finished with value: 6.072245230822357 and parameters: {'x': 1.025040018500134, 'y': 1.4270855245256404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,334] Trial 115 finished with value: 7.427324175144104 and parameters: {'x': 1.5847021930614489, 'y': 1.388083865430075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,335] Trial 116 finished with value: 7.401331252563596 and parameters: {'x': 1.1720633580392537, 'y': 2.236009826109792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,336] Trial 117 finished with value: 7.707729664135554 and parameters: {'x': 1.6475738512480638, 'y': 1.7842152507174118}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,337] Trial 118 finished with value: 8.353403949911574 and parameters: {'x': 2.2922788419771853, 'y': 2.047108234443308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,337] Trial 119 finished with value: 7.901261536827631 and parameters: {'x': 2.0811791251484095, 'y': 1.5553480135828408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,338] Trial 120 finished with value: 7.929999755129986 and parameters: {'x': 2.1030085786156674, 'y': 1.6315349542573745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,339] Trial 121 finished with value: 9.288051746041393 and parameters: {'x': 2.249248175133083, 'y': 2.9212579305581805}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,340] Trial 122 finished with value: 9.073790993777054 and parameters: {'x': 2.556831585636369, 'y': 2.0192050725676203}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,341] Trial 123 finished with value: 6.1928075617926694 and parameters: {'x': 1.381008070971709, 'y': 1.127196872196507}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,342] Trial 124 finished with value: 10.156698962301324 and parameters: {'x': 2.984010254713117, 'y': 2.4756838541668325}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,343] Trial 125 finished with value: 9.874975505572541 and parameters: {'x': 2.48926356962497, 'y': 2.32310916596693}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,343] Trial 126 finished with value: 8.4403157532315 and parameters: {'x': 1.1674159135861502, 'y': 2.5243468662283424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,344] Trial 127 finished with value: 9.139515973359657 and parameters: {'x': 2.9124136588486005, 'y': 1.448544851596652}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,345] Trial 128 finished with value: 7.359019764415692 and parameters: {'x': 1.845559429941528, 'y': 1.3798715708393237}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,346] Trial 129 finished with value: 8.801406402850382 and parameters: {'x': 2.793280477391969, 'y': 2.0995429900681835}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,347] Trial 130 finished with value: 9.16027496754532 and parameters: {'x': 2.958814654897644, 'y': 1.4501058360334536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,348] Trial 131 finished with value: 9.043089465124277 and parameters: {'x': 2.5531846030820153, 'y': 1.394148666766868}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,349] Trial 132 finished with value: 7.606828759224673 and parameters: {'x': 1.628976929975279, 'y': 1.4619861318720995}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,350] Trial 133 finished with value: 9.070587375279917 and parameters: {'x': 1.419020074634894, 'y': 2.5430493560865637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,350] Trial 134 finished with value: 8.922647531691823 and parameters: {'x': 2.403540709078335, 'y': 1.5039144423310895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,351] Trial 135 finished with value: 7.967844530950847 and parameters: {'x': 1.8344664008911205, 'y': 2.2154175816586967}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,352] Trial 136 finished with value: 6.626032192071815 and parameters: {'x': 1.1376050758152119, 'y': 1.5572043930324122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,353] Trial 137 finished with value: 9.659594459444406 and parameters: {'x': 2.7866196797539673, 'y': 2.9979820048454564}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,354] Trial 138 finished with value: 6.347014296917756 and parameters: {'x': 1.1499787305081524, 'y': 1.4010452377707163}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,355] Trial 139 finished with value: 7.529375914538674 and parameters: {'x': 1.4493857009516564, 'y': 1.9428251265097687}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,356] Trial 140 finished with value: 8.81677041121904 and parameters: {'x': 1.3251875112150269, 'y': 2.9930602325129616}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,357] Trial 141 finished with value: 6.910809469825855 and parameters: {'x': 1.265056131105021, 'y': 2.0342370126064235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,357] Trial 142 finished with value: 8.270503495062389 and parameters: {'x': 1.6712378350511055, 'y': 2.2009435486868285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,358] Trial 143 finished with value: 7.452760285030202 and parameters: {'x': 1.3978757960635275, 'y': 1.5886968818444087}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,359] Trial 144 finished with value: 8.04404936965607 and parameters: {'x': 2.2430845548658915, 'y': 2.043992069057082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,360] Trial 145 finished with value: 9.037078848946711 and parameters: {'x': 2.541655139697369, 'y': 1.8839124502404339}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,361] Trial 146 finished with value: 6.982951805949881 and parameters: {'x': 1.781374575788557, 'y': 1.2651621081908913}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,362] Trial 147 finished with value: 9.20171480473229 and parameters: {'x': 1.6080598211760768, 'y': 2.9650186697000382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,363] Trial 148 finished with value: 6.452025938356062 and parameters: {'x': 1.1479419006340799, 'y': 1.4382449336931642}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,364] Trial 149 finished with value: 8.409147936673097 and parameters: {'x': 1.1982455088041204, 'y': 2.458225719447706}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,365] Trial 150 finished with value: 7.5725037722601485 and parameters: {'x': 1.9508953118972576, 'y': 1.6558619568319393}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,366] Trial 151 finished with value: 8.982528233453667 and parameters: {'x': 1.5525808084216455, 'y': 2.41293048193209}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,366] Trial 152 finished with value: 9.041991086654965 and parameters: {'x': 2.0937943692816763, 'y': 2.4277592159001715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,367] Trial 153 finished with value: 5.742279919822625 and parameters: {'x': 1.9597368328208227, 'y': 1.101870834317938}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,368] Trial 154 finished with value: 7.662524506220276 and parameters: {'x': 1.3428920411087246, 'y': 2.135148324498201}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,369] Trial 155 finished with value: 5.412915944788196 and parameters: {'x': 1.990908743954472, 'y': 1.0050198191556126}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,370] Trial 156 finished with value: 7.384637681531171 and parameters: {'x': 1.8039469768756087, 'y': 2.0905831063243143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,371] Trial 157 finished with value: 7.362225966959187 and parameters: {'x': 1.4451194939759322, 'y': 1.4525537484113495}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,372] Trial 158 finished with value: 10.222437021084144 and parameters: {'x': 2.6488242314394013, 'y': 2.433715704140214}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,373] Trial 159 finished with value: 6.896605385291597 and parameters: {'x': 1.027065396478891, 'y': 2.2375282061374557}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,373] Trial 160 finished with value: 9.070807682748207 and parameters: {'x': 2.965189425709962, 'y': 1.4068019970945893}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,374] Trial 161 finished with value: 8.24245966683869 and parameters: {'x': 2.4278280268516204, 'y': 1.1692189477956123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,375] Trial 162 finished with value: 5.673508204977029 and parameters: {'x': 1.0721727531477638, 'y': 2.0209882776353236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,376] Trial 163 finished with value: 6.685128269118291 and parameters: {'x': 1.0176360039225363, 'y': 2.210740833205314}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,377] Trial 164 finished with value: 7.608037762971426 and parameters: {'x': 1.871629158495657, 'y': 1.6523483721870136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,378] Trial 165 finished with value: 10.386096910354778 and parameters: {'x': 2.5895300471814746, 'y': 2.6305378593259974}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,379] Trial 166 finished with value: 7.40514642679503 and parameters: {'x': 1.7243774639538723, 'y': 1.9789454770033412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,380] Trial 167 finished with value: 9.33732591568054 and parameters: {'x': 2.1457972131567966, 'y': 2.666277852044355}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,380] Trial 168 finished with value: 7.517325492079699 and parameters: {'x': 1.5730197790114377, 'y': 1.436315023136025}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,381] Trial 169 finished with value: 8.954057110696501 and parameters: {'x': 2.565349052914175, 'y': 1.340767290504819}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,382] Trial 170 finished with value: 7.628363624986125 and parameters: {'x': 1.1240421322715355, 'y': 2.9812662390210587}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,383] Trial 171 finished with value: 7.895166227239825 and parameters: {'x': 2.097114156405027, 'y': 1.4841161709967734}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,384] Trial 172 finished with value: 9.650496346883967 and parameters: {'x': 2.878011320154017, 'y': 2.3083770732523208}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,385] Trial 173 finished with value: 10.179377446684578 and parameters: {'x': 2.5992281043426297, 'y': 2.960157496955233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,386] Trial 174 finished with value: 8.393777129433174 and parameters: {'x': 2.87864454294124, 'y': 1.239177096324707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,387] Trial 175 finished with value: 8.117760168554438 and parameters: {'x': 1.6390553207059786, 'y': 2.1544961862419205}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,387] Trial 176 finished with value: 7.780286127425217 and parameters: {'x': 1.9561316950363021, 'y': 2.2200267269991105}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,388] Trial 177 finished with value: 8.97783184216078 and parameters: {'x': 2.4029650756157688, 'y': 1.6597546371143177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,389] Trial 178 finished with value: 9.208872159188012 and parameters: {'x': 2.9549234687416903, 'y': 2.88628287561888}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,390] Trial 179 finished with value: 5.4049656445919965 and parameters: {'x': 1.011013356212266, 'y': 1.9578420384618553}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,391] Trial 180 finished with value: 9.12174191938108 and parameters: {'x': 2.3678749028786994, 'y': 2.17278483879681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,392] Trial 181 finished with value: 10.198826009408865 and parameters: {'x': 2.958641606176584, 'y': 2.5484903125582936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,393] Trial 182 finished with value: 7.6476415377950175 and parameters: {'x': 1.545998442266486, 'y': 1.9323981096163951}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,394] Trial 183 finished with value: 8.124489221721925 and parameters: {'x': 1.6758563638478126, 'y': 2.168679284141233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,394] Trial 184 finished with value: 7.64968413734136 and parameters: {'x': 2.209815005464777, 'y': 1.2569555742100504}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,395] Trial 185 finished with value: 7.803305947129413 and parameters: {'x': 2.0466239336984975, 'y': 1.5762074968179676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,396] Trial 186 finished with value: 8.05474377153569 and parameters: {'x': 2.1632397775778105, 'y': 1.6998366051182627}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,397] Trial 187 finished with value: 6.144941991306926 and parameters: {'x': 1.7747923908250454, 'y': 1.0826847582822892}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,398] Trial 188 finished with value: 6.2127589120851745 and parameters: {'x': 2.066909130422448, 'y': 1.1382530755142026}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,399] Trial 189 finished with value: 6.561669600397277 and parameters: {'x': 1.115901581604201, 'y': 1.629822531869676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,400] Trial 190 finished with value: 7.890219400244215 and parameters: {'x': 2.084328797212484, 'y': 1.5148949334884845}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,401] Trial 191 finished with value: 7.464114852010187 and parameters: {'x': 1.8892808907270018, 'y': 1.713626723491136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,401] Trial 192 finished with value: 7.156552221150989 and parameters: {'x': 1.786094779669809, 'y': 1.960800211946864}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,402] Trial 193 finished with value: 8.951979216755136 and parameters: {'x': 1.7413234774569297, 'y': 2.8444003260863475}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,403] Trial 194 finished with value: 8.613621999490935 and parameters: {'x': 2.277526156650702, 'y': 1.5896308935518735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,404] Trial 195 finished with value: 6.996158886658911 and parameters: {'x': 1.27798756081083, 'y': 1.8105280925644867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,405] Trial 196 finished with value: 8.611348223142354 and parameters: {'x': 2.780063608043692, 'y': 1.2470883370791117}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,406] Trial 197 finished with value: 6.030637405462642 and parameters: {'x': 1.3669459553065468, 'y': 1.0967663914722383}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,407] Trial 198 finished with value: 8.9651624986928 and parameters: {'x': 2.45114124303605, 'y': 1.8177367495614867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,408] Trial 199 finished with value: 8.915451335211346 and parameters: {'x': 2.335872085479096, 'y': 2.150144686924997}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,409] Trial 200 finished with value: 7.021661568826715 and parameters: {'x': 1.8602528352275918, 'y': 1.8654081939662959}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,409] Trial 201 finished with value: 9.769519658797082 and parameters: {'x': 2.7347930055246903, 'y': 2.281904221003719}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,410] Trial 202 finished with value: 4.469825231897417 and parameters: {'x': 1.1276709782028493, 'y': 1.076434141934986}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,411] Trial 203 finished with value: 10.239785901129567 and parameters: {'x': 2.5334930752056657, 'y': 2.8412627361168794}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,412] Trial 204 finished with value: 8.53553773386228 and parameters: {'x': 1.9038626907012923, 'y': 2.808230478175809}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,413] Trial 205 finished with value: 7.469472666097261 and parameters: {'x': 2.0627178614594097, 'y': 1.361793778177681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,414] Trial 206 finished with value: 6.667264537099793 and parameters: {'x': 1.155198996514189, 'y': 1.6725570179291875}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,415] Trial 207 finished with value: 9.076853313820374 and parameters: {'x': 1.8583070910014763, 'y': 2.575429422230293}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,416] Trial 208 finished with value: 7.763861642014163 and parameters: {'x': 1.3957039185663036, 'y': 2.115221306953389}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,416] Trial 209 finished with value: 7.931876268965578 and parameters: {'x': 1.0377878625094168, 'y': 2.7386171658588525}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,417] Trial 210 finished with value: 9.291572445362457 and parameters: {'x': 1.5225522661296755, 'y': 2.72999996019061}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,418] Trial 211 finished with value: 7.90789463480928 and parameters: {'x': 2.1580208652985027, 'y': 1.7481916178348185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,419] Trial 212 finished with value: 8.331075538821214 and parameters: {'x': 1.3086571202225628, 'y': 2.322867543653529}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,420] Trial 213 finished with value: 7.134902741194471 and parameters: {'x': 1.311339134694525, 'y': 1.8159808263688133}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,421] Trial 214 finished with value: 8.508767907255717 and parameters: {'x': 1.5328694871482778, 'y': 2.253473258892857}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,422] Trial 215 finished with value: 10.160814928725088 and parameters: {'x': 2.4340858563813637, 'y': 2.5328342880614736}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,423] Trial 216 finished with value: 7.520519248925659 and parameters: {'x': 2.8358217538122545, 'y': 1.0073602356390727}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,423] Trial 217 finished with value: 8.734898042294475 and parameters: {'x': 2.3976126842507304, 'y': 1.9818004671370137}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,424] Trial 218 finished with value: 9.212983735328182 and parameters: {'x': 2.5707009425331124, 'y': 1.510914137767352}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,425] Trial 219 finished with value: 7.630386114164498 and parameters: {'x': 2.290055224334804, 'y': 1.1542707595107782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,426] Trial 220 finished with value: 9.223023627226235 and parameters: {'x': 1.4874256907368923, 'y': 2.8243687678809852}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,427] Trial 221 finished with value: 6.491452216777805 and parameters: {'x': 2.178628325873583, 'y': 1.0417939251882566}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,428] Trial 222 finished with value: 8.964465884983193 and parameters: {'x': 2.435201368490529, 'y': 1.4774745015263917}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,429] Trial 223 finished with value: 9.787167605334385 and parameters: {'x': 2.5102236610164814, 'y': 2.280925654939244}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,430] Trial 224 finished with value: 10.263157219003295 and parameters: {'x': 2.4943112514176353, 'y': 2.7744643239933993}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,430] Trial 225 finished with value: 8.10062600422781 and parameters: {'x': 1.4212237274775974, 'y': 2.1854087410493284}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,431] Trial 226 finished with value: 7.400051605325441 and parameters: {'x': 1.3919703351200805, 'y': 1.549329359587792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,432] Trial 227 finished with value: 10.142835796284338 and parameters: {'x': 2.4810205514098005, 'y': 2.947362586144786}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,433] Trial 228 finished with value: 7.315275574586037 and parameters: {'x': 1.9544917597569376, 'y': 1.746454737362182}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,434] Trial 229 finished with value: 8.02264358861355 and parameters: {'x': 2.024667187134299, 'y': 2.9507638023385447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,435] Trial 230 finished with value: 7.650780229269962 and parameters: {'x': 1.5589595248514958, 'y': 1.8963027349856008}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,436] Trial 231 finished with value: 8.75642052006269 and parameters: {'x': 1.2578489085880764, 'y': 2.573495333602545}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,437] Trial 232 finished with value: 7.720926630613398 and parameters: {'x': 1.6683961727920873, 'y': 2.0584749448370667}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,437] Trial 233 finished with value: 10.111196291118265 and parameters: {'x': 2.388544278181339, 'y': 2.5758930870083345}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,438] Trial 234 finished with value: 8.999141681351706 and parameters: {'x': 1.3880499083930444, 'y': 2.9198551748985655}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,439] Trial 235 finished with value: 6.947255849127545 and parameters: {'x': 1.3017815054591813, 'y': 1.4239006206842184}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,440] Trial 236 finished with value: 8.093163601417645 and parameters: {'x': 1.022966381407082, 'y': 2.511672249150409}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,441] Trial 237 finished with value: 9.244523525498478 and parameters: {'x': 2.1309296907352304, 'y': 2.687476427568785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,442] Trial 238 finished with value: 7.404512967642068 and parameters: {'x': 1.325042353063805, 'y': 2.0888798280457053}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,443] Trial 239 finished with value: 8.276865554192819 and parameters: {'x': 2.184880893629826, 'y': 2.178955012453271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,444] Trial 240 finished with value: 9.001965784325948 and parameters: {'x': 2.6346136475206117, 'y': 1.9949438321654618}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,444] Trial 241 finished with value: 6.951984210410229 and parameters: {'x': 2.0125264882488345, 'y': 1.2811406982064169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,445] Trial 242 finished with value: 9.059296508005236 and parameters: {'x': 1.3974245366863893, 'y': 2.5622304428793035}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,446] Trial 243 finished with value: 8.206034009843497 and parameters: {'x': 2.9364115200634586, 'y': 1.883919482780143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,447] Trial 244 finished with value: 9.921919105284765 and parameters: {'x': 2.8470228282279604, 'y': 2.3680211380618044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,448] Trial 245 finished with value: 5.862369248339185 and parameters: {'x': 1.1142529535002255, 'y': 2.0076454952194416}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,449] Trial 246 finished with value: 7.481016763418873 and parameters: {'x': 2.0251579459513422, 'y': 1.7229460313825542}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,450] Trial 247 finished with value: 9.084504448433803 and parameters: {'x': 2.5598314697394455, 'y': 1.84622302020528}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,451] Trial 248 finished with value: 9.730779841830977 and parameters: {'x': 2.705026542530438, 'y': 2.261172872438412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,452] Trial 249 finished with value: 6.970087709999072 and parameters: {'x': 2.2056625156106104, 'y': 1.1199626417334956}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,452] Trial 250 finished with value: 8.953933738523933 and parameters: {'x': 2.702914966726759, 'y': 1.860231761427788}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,453] Trial 251 finished with value: 9.748424617891873 and parameters: {'x': 2.4667731201567493, 'y': 2.2888764660961294}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,454] Trial 252 finished with value: 9.167673651450142 and parameters: {'x': 2.072195797772089, 'y': 2.610655666055697}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,455] Trial 253 finished with value: 7.147031598038101 and parameters: {'x': 1.291699180736912, 'y': 1.7390061583839724}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,456] Trial 254 finished with value: 6.116670622794018 and parameters: {'x': 2.1301272592646647, 'y': 1.0347697813695165}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,457] Trial 255 finished with value: 8.208828599746406 and parameters: {'x': 2.2867287156201046, 'y': 1.9679983737249274}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,458] Trial 256 finished with value: 6.548620766445598 and parameters: {'x': 1.2044888856944802, 'y': 1.4005015727656103}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,459] Trial 257 finished with value: 10.31713510610331 and parameters: {'x': 2.612563047786084, 'y': 2.7704625571335404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,460] Trial 258 finished with value: 10.084552858039983 and parameters: {'x': 2.4972956483612614, 'y': 2.4135511676669017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,461] Trial 259 finished with value: 8.704815048381596 and parameters: {'x': 1.8348199894899018, 'y': 2.816913002698824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,461] Trial 260 finished with value: 9.909882350543576 and parameters: {'x': 2.782731419649844, 'y': 2.8262820425631365}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,462] Trial 261 finished with value: 5.976489893672717 and parameters: {'x': 1.7736308753893941, 'y': 1.020860693431882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,463] Trial 262 finished with value: 5.927980057999747 and parameters: {'x': 2.016682408877395, 'y': 1.121591782697312}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,464] Trial 263 finished with value: 8.858717705415632 and parameters: {'x': 1.5563968701377697, 'y': 2.3616592332265505}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,465] Trial 264 finished with value: 10.033313474090175 and parameters: {'x': 2.9006873116428213, 'y': 2.692515618646322}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,466] Trial 265 finished with value: 8.880528053164227 and parameters: {'x': 1.3391217993231546, 'y': 2.5119201657605466}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,467] Trial 266 finished with value: 6.512793795585026 and parameters: {'x': 1.0973914976258345, 'y': 1.598088367554651}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,468] Trial 267 finished with value: 10.133308161929415 and parameters: {'x': 2.4722329634215807, 'y': 2.9038913264736412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,469] Trial 268 finished with value: 9.009577894524508 and parameters: {'x': 2.848278275800719, 'y': 1.71975219955167}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,469] Trial 269 finished with value: 9.073466277909414 and parameters: {'x': 1.8477499271033209, 'y': 2.544824490259407}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,470] Trial 270 finished with value: 8.857712616202502 and parameters: {'x': 2.7763762931812623, 'y': 2.0978016101308743}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,471] Trial 271 finished with value: 8.336836626348964 and parameters: {'x': 2.3795700310590426, 'y': 1.2465209738223508}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,472] Trial 272 finished with value: 5.916158701235933 and parameters: {'x': 1.362378593042143, 'y': 1.0660251203586257}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,473] Trial 273 finished with value: 9.146929015217898 and parameters: {'x': 1.8033754828833874, 'y': 2.6047616206447453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,474] Trial 274 finished with value: 7.438775490254871 and parameters: {'x': 1.7578386164256896, 'y': 1.8327485767740324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,475] Trial 275 finished with value: 7.535911323474094 and parameters: {'x': 1.6806223274483807, 'y': 1.9795460472091044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,476] Trial 276 finished with value: 7.2692615352023005 and parameters: {'x': 1.3721922862035816, 'y': 1.4889755041007238}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,477] Trial 277 finished with value: 10.156213247691806 and parameters: {'x': 2.439013905615374, 'y': 2.798546701303678}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,477] Trial 278 finished with value: 7.594454224312965 and parameters: {'x': 1.7836186155171991, 'y': 1.7335789878704169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,478] Trial 279 finished with value: 9.692863147985143 and parameters: {'x': 2.830534386150495, 'y': 2.8448425756608664}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,479] Trial 280 finished with value: 10.354735182718246 and parameters: {'x': 2.654619006311158, 'y': 2.535702751682674}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,480] Trial 281 finished with value: 9.59974810128511 and parameters: {'x': 2.2129591988883632, 'y': 2.6594307933091414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,481] Trial 282 finished with value: 9.171231249430022 and parameters: {'x': 2.4126063326685623, 'y': 2.1477052796850047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,482] Trial 283 finished with value: 4.423097764063691 and parameters: {'x': 1.1136507650040754, 'y': 1.085185414659418}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,483] Trial 284 finished with value: 8.518116853818347 and parameters: {'x': 2.2714436670861144, 'y': 1.4799874049703434}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,484] Trial 285 finished with value: 6.308183889141347 and parameters: {'x': 1.1798253175175006, 'y': 1.358477133667177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,485] Trial 286 finished with value: 5.721946692056417 and parameters: {'x': 1.0636206120922096, 'y': 1.8733061965353646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,485] Trial 287 finished with value: 7.677943634548251 and parameters: {'x': 1.121973471590385, 'y': 2.9035790410998183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,486] Trial 288 finished with value: 9.151799227058577 and parameters: {'x': 2.6069182409954905, 'y': 1.7996328195485836}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,487] Trial 289 finished with value: 10.013127416178817 and parameters: {'x': 2.4167858431807874, 'y': 2.9164976263663602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,488] Trial 290 finished with value: 4.998303328378896 and parameters: {'x': 1.1542956742066215, 'y': 1.140781609596429}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,489] Trial 291 finished with value: 8.28114606706547 and parameters: {'x': 2.1879466071750313, 'y': 1.5581671187822235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,490] Trial 292 finished with value: 8.832524046610402 and parameters: {'x': 2.300366007103639, 'y': 2.16793189577589}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,491] Trial 293 finished with value: 5.711376066059369 and parameters: {'x': 1.094322932423767, 'y': 1.9411323943054628}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,491] Trial 294 finished with value: 7.760929512264443 and parameters: {'x': 2.071568489594031, 'y': 1.4523217653510414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,492] Trial 295 finished with value: 9.671827782479724 and parameters: {'x': 2.9922109078108097, 'y': 2.7826847496567426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,493] Trial 296 finished with value: 6.710962291458795 and parameters: {'x': 2.0479007588535945, 'y': 1.2261318608148313}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,494] Trial 297 finished with value: 9.202996753526495 and parameters: {'x': 2.8645562118427224, 'y': 1.6129257002416637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,495] Trial 298 finished with value: 5.60593399078077 and parameters: {'x': 1.0573022885455976, 'y': 1.3062488386606321}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,495] Trial 299 finished with value: 6.58244865409225 and parameters: {'x': 1.3655659763270604, 'y': 1.2432668725475122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,496] Trial 300 finished with value: 6.2066836519014394 and parameters: {'x': 1.331275367399907, 'y': 1.182084471528453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,497] Trial 301 finished with value: 8.984835506742034 and parameters: {'x': 2.0438870786774963, 'y': 2.6836625341675298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,498] Trial 302 finished with value: 9.135668282526662 and parameters: {'x': 1.6844674053929338, 'y': 2.482716416022635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,498] Trial 303 finished with value: 10.359646028416753 and parameters: {'x': 2.5754761557918533, 'y': 2.7198582320674056}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,499] Trial 304 finished with value: 7.361657153468046 and parameters: {'x': 1.3571872591947314, 'y': 1.75345728109374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,500] Trial 305 finished with value: 7.913504782012886 and parameters: {'x': 2.2567402470676416, 'y': 1.2652867032397062}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,501] Trial 306 finished with value: 9.347623407815192 and parameters: {'x': 2.1932762319899344, 'y': 2.7575887786576088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,502] Trial 307 finished with value: 6.238482058571574 and parameters: {'x': 1.398568508516686, 'y': 1.1219645882466098}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,502] Trial 308 finished with value: 9.255211632335527 and parameters: {'x': 2.1065275363082856, 'y': 2.623147599225602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,503] Trial 309 finished with value: 7.9259135284926625 and parameters: {'x': 2.401557205780505, 'y': 1.0884686415000555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,504] Trial 310 finished with value: 9.912652969472223 and parameters: {'x': 2.4927665585904117, 'y': 2.3362285111941388}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,505] Trial 311 finished with value: 7.9160816136541055 and parameters: {'x': 2.086039549812548, 'y': 1.5718753826147212}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,506] Trial 312 finished with value: 8.846211582353332 and parameters: {'x': 2.7946975959997085, 'y': 2.1111493443901646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,507] Trial 313 finished with value: 8.447724376654612 and parameters: {'x': 1.231940729779242, 'y': 2.4329241473881456}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,507] Trial 314 finished with value: 7.552500541854169 and parameters: {'x': 1.7919999988976703, 'y': 1.7463777927679258}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,508] Trial 315 finished with value: 9.218512393996935 and parameters: {'x': 1.5175664405513307, 'y': 2.924995588232765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,509] Trial 316 finished with value: 6.857585341545889 and parameters: {'x': 2.0710526351204024, 'y': 1.9257182649214797}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,510] Trial 317 finished with value: 6.2545662723315765 and parameters: {'x': 1.0302565320977815, 'y': 2.150580729287884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,510] Trial 318 finished with value: 7.983987219108325 and parameters: {'x': 2.4111627134494213, 'y': 1.0980217544085398}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,511] Trial 319 finished with value: 8.357108631911709 and parameters: {'x': 1.2100873805705843, 'y': 2.820830469555223}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,512] Trial 320 finished with value: 6.699130383291198 and parameters: {'x': 1.215682949072571, 'y': 2.0632357475823735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,513] Trial 321 finished with value: 8.948976386936518 and parameters: {'x': 1.331367634034851, 'y': 2.581299783112364}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,514] Trial 322 finished with value: 7.982138721518298 and parameters: {'x': 1.988398470351165, 'y': 2.945407386064451}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,514] Trial 323 finished with value: 9.745623933776441 and parameters: {'x': 2.30428299904322, 'y': 2.805664681125419}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,515] Trial 324 finished with value: 7.613461888965885 and parameters: {'x': 1.0069534961965363, 'y': 2.8127180219484327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,516] Trial 325 finished with value: 7.652181636405894 and parameters: {'x': 1.8566641006360123, 'y': 1.5309023468189245}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,517] Trial 326 finished with value: 9.162199390098213 and parameters: {'x': 2.9688223241275935, 'y': 2.8965908439695895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,518] Trial 327 finished with value: 8.603561199051127 and parameters: {'x': 2.101710342423472, 'y': 2.8472037870659075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,519] Trial 328 finished with value: 9.238104079329661 and parameters: {'x': 1.4645047073963369, 'y': 2.7201884102366276}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,519] Trial 329 finished with value: 9.2059890001439 and parameters: {'x': 1.5029492524669203, 'y': 2.570755821365006}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,520] Trial 330 finished with value: 8.662235215716079 and parameters: {'x': 1.9668160413505607, 'y': 2.7570260466308625}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,521] Trial 331 finished with value: 4.387601305751666 and parameters: {'x': 1.1063704438455368, 'y': 1.0869451970964539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,522] Trial 332 finished with value: 8.743504814708885 and parameters: {'x': 2.42920152555666, 'y': 1.3500254719172264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,523] Trial 333 finished with value: 7.474602128171121 and parameters: {'x': 1.152829659231377, 'y': 2.263024436911833}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,524] Trial 334 finished with value: 7.7139152591869955 and parameters: {'x': 2.083902436337981, 'y': 1.7042422360941185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,524] Trial 335 finished with value: 9.064165098697746 and parameters: {'x': 2.196396028837885, 'y': 2.868474069611013}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,525] Trial 336 finished with value: 7.526207724974352 and parameters: {'x': 1.748765975307913, 'y': 1.4175092102644002}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,526] Trial 337 finished with value: 8.87318611022771 and parameters: {'x': 1.4301086067741993, 'y': 2.4221290283239707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,527] Trial 338 finished with value: 7.437628554622544 and parameters: {'x': 1.5370848528034777, 'y': 1.4164035735238645}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,528] Trial 339 finished with value: 9.108528828823486 and parameters: {'x': 2.8221419136641974, 'y': 1.4137540686047536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,528] Trial 340 finished with value: 10.224469832486484 and parameters: {'x': 2.7627939976725715, 'y': 2.712650585544082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,529] Trial 341 finished with value: 9.157248639712966 and parameters: {'x': 1.621381698958753, 'y': 2.490024536343387}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,530] Trial 342 finished with value: 9.067096629559234 and parameters: {'x': 2.965909978088968, 'y': 2.9290256135131707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,531] Trial 343 finished with value: 8.20828834637247 and parameters: {'x': 2.551873644603601, 'y': 1.0660867667675091}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,532] Trial 344 finished with value: 7.619650128094548 and parameters: {'x': 2.0644661743154415, 'y': 1.4042470172553296}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,532] Trial 345 finished with value: 8.763579496092841 and parameters: {'x': 1.6545509357446349, 'y': 2.3265521680886843}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,534] Trial 346 finished with value: 10.329168526789621 and parameters: {'x': 2.644777207725301, 'y': 2.5097392192993073}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,535] Trial 347 finished with value: 6.209810066889293 and parameters: {'x': 1.794374892990855, 'y': 1.1141125151488116}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,536] Trial 348 finished with value: 7.984742852035451 and parameters: {'x': 1.092178496970699, 'y': 2.41579734736726}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,537] Trial 349 finished with value: 8.870990662413382 and parameters: {'x': 1.3414984313948313, 'y': 2.982007944245219}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,538] Trial 350 finished with value: 8.966183159301048 and parameters: {'x': 2.4075892104439074, 'y': 1.7079217481458522}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,539] Trial 351 finished with value: 7.656693888229608 and parameters: {'x': 1.8518279470371772, 'y': 1.6238590298596043}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,539] Trial 352 finished with value: 9.062458866554683 and parameters: {'x': 2.6177201797519714, 'y': 1.8642498769805247}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,540] Trial 353 finished with value: 9.018050055020714 and parameters: {'x': 2.4187002604843553, 'y': 1.6138392905141121}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,541] Trial 354 finished with value: 8.991109902167452 and parameters: {'x': 1.3703645448408575, 'y': 2.834356324376323}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,542] Trial 355 finished with value: 8.38152104519662 and parameters: {'x': 1.1555343303547916, 'y': 2.7006567266890333}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,542] Trial 356 finished with value: 6.212801250088436 and parameters: {'x': 1.1805670600758351, 'y': 1.3342035077899745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,543] Trial 357 finished with value: 7.941553127535705 and parameters: {'x': 2.7592288821782676, 'y': 1.0706680098479076}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,544] Trial 358 finished with value: 7.224303585235438 and parameters: {'x': 1.3045011153751436, 'y': 1.6118863229503622}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,545] Trial 359 finished with value: 8.44450330401257 and parameters: {'x': 2.2335451159558417, 'y': 1.628179759156297}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,546] Trial 360 finished with value: 7.044886595511825 and parameters: {'x': 1.9972271639585526, 'y': 1.3032450288065827}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,547] Trial 361 finished with value: 8.270774653868527 and parameters: {'x': 2.8974389690073172, 'y': 1.888026611242919}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,547] Trial 362 finished with value: 8.91666182979364 and parameters: {'x': 2.4368892491097727, 'y': 1.4377983452111882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,548] Trial 363 finished with value: 10.088239690096223 and parameters: {'x': 2.865870145047425, 'y': 2.4358911847461413}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,549] Trial 364 finished with value: 8.78965221877254 and parameters: {'x': 2.3358581438953543, 'y': 1.6618000006359324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,550] Trial 365 finished with value: 10.125686298125409 and parameters: {'x': 2.445415598969073, 'y': 2.84484078419461}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,551] Trial 366 finished with value: 7.343383611464031 and parameters: {'x': 1.7769158794075075, 'y': 2.0507637598350668}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,551] Trial 367 finished with value: 7.997988774164467 and parameters: {'x': 2.2356426584991205, 'y': 2.0451278303879987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,552] Trial 368 finished with value: 8.205247029616046 and parameters: {'x': 2.187146945707058, 'y': 1.4742898645858042}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,553] Trial 369 finished with value: 9.00406642736227 and parameters: {'x': 1.9929649460017025, 'y': 2.5078903999195608}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,554] Trial 370 finished with value: 5.226188688989737 and parameters: {'x': 1.0087444470767506, 'y': 1.2633840962145775}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,555] Trial 371 finished with value: 8.71485187368858 and parameters: {'x': 1.3079096308120766, 'y': 2.9738261872510607}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,556] Trial 372 finished with value: 9.216845434625913 and parameters: {'x': 1.508575392047343, 'y': 2.8773204260382386}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,556] Trial 373 finished with value: 9.17989793263459 and parameters: {'x': 2.8841994959270485, 'y': 1.621651975448489}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,557] Trial 374 finished with value: 8.98557586111079 and parameters: {'x': 2.500830384642061, 'y': 1.8944341497362096}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,558] Trial 375 finished with value: 9.303369240522263 and parameters: {'x': 1.5391501775074237, 'y': 2.711571907670349}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,559] Trial 376 finished with value: 8.750471615681288 and parameters: {'x': 1.4913406700000764, 'y': 2.341732508736907}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,560] Trial 377 finished with value: 7.227982143201142 and parameters: {'x': 1.3268853102432239, 'y': 1.7885289413291054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,560] Trial 378 finished with value: 10.023162229027282 and parameters: {'x': 2.396048090406278, 'y': 2.8314615713289455}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,561] Trial 379 finished with value: 6.092896856433121 and parameters: {'x': 1.7911165415621344, 'y': 1.08382619235308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,562] Trial 380 finished with value: 6.120317782062621 and parameters: {'x': 1.4032309691122884, 'y': 1.079894591239306}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,563] Trial 381 finished with value: 7.022502908484473 and parameters: {'x': 1.8824910993699955, 'y': 1.3033402032471397}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,564] Trial 382 finished with value: 7.652674431707082 and parameters: {'x': 1.8497308313116698, 'y': 1.6310518292420932}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,564] Trial 383 finished with value: 5.822719727358805 and parameters: {'x': 1.3215559497308957, 'y': 1.0981061820951246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,565] Trial 384 finished with value: 7.373644800992425 and parameters: {'x': 1.3940794368916745, 'y': 1.9120470222848358}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,566] Trial 385 finished with value: 5.481155598344511 and parameters: {'x': 1.9414607876752354, 'y': 1.0393575200952851}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,567] Trial 386 finished with value: 10.096454316474768 and parameters: {'x': 2.4543933766663644, 'y': 2.928712322892695}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,568] Trial 387 finished with value: 6.370030836329917 and parameters: {'x': 1.3548891051987708, 'y': 1.1986347193634166}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,568] Trial 388 finished with value: 8.509039975333158 and parameters: {'x': 2.322081543679178, 'y': 1.8428832782616735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,569] Trial 389 finished with value: 7.267810238351741 and parameters: {'x': 1.6160281384053163, 'y': 1.3184453833011878}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,570] Trial 390 finished with value: 5.601143816756288 and parameters: {'x': 1.0084796381477859, 'y': 1.8664753046910936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,571] Trial 391 finished with value: 9.279754455615958 and parameters: {'x': 2.873043369326268, 'y': 2.9390091395584017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,572] Trial 392 finished with value: 7.491358104879318 and parameters: {'x': 2.1375796868486256, 'y': 1.8391439039291715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,572] Trial 393 finished with value: 7.469105104664758 and parameters: {'x': 1.7923971939999055, 'y': 2.0989587544380424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,573] Trial 394 finished with value: 8.956798399528843 and parameters: {'x': 1.711999584921766, 'y': 2.9091711768326656}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,574] Trial 395 finished with value: 9.174547757972167 and parameters: {'x': 2.840890581133052, 'y': 1.4561757164149107}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,575] Trial 396 finished with value: 7.851700424065141 and parameters: {'x': 1.7113279109352795, 'y': 2.123481419395448}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,576] Trial 397 finished with value: 7.750692605356102 and parameters: {'x': 1.6902889832813934, 'y': 1.5623461183014966}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,577] Trial 398 finished with value: 8.755451855147848 and parameters: {'x': 2.911761337310541, 'y': 1.3197890733099533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,578] Trial 399 finished with value: 10.268295211866295 and parameters: {'x': 2.476466615710587, 'y': 2.7332328340294563}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,578] Trial 400 finished with value: 6.417574443703831 and parameters: {'x': 2.177474958724643, 'y': 1.005653626481327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,579] Trial 401 finished with value: 7.668896523263015 and parameters: {'x': 1.644378784575017, 'y': 1.4968063585350646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,580] Trial 402 finished with value: 8.19298658310015 and parameters: {'x': 2.431289201640437, 'y': 1.149653767432715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,581] Trial 403 finished with value: 8.97130164568623 and parameters: {'x': 2.0238418672969654, 'y': 2.464378965120093}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,582] Trial 404 finished with value: 9.9498222644883 and parameters: {'x': 2.888144037415016, 'y': 2.3893540652536975}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,582] Trial 405 finished with value: 8.946878681936214 and parameters: {'x': 2.4819106838477336, 'y': 1.9690251042928717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,583] Trial 406 finished with value: 9.2775145368802 and parameters: {'x': 1.6086848468720156, 'y': 2.7757886297325713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,584] Trial 407 finished with value: 6.0398599077263455 and parameters: {'x': 1.0094173253653007, 'y': 2.126016301637884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,585] Trial 408 finished with value: 7.172267725737418 and parameters: {'x': 1.8647089587091887, 'y': 2.0967083242682962}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,586] Trial 409 finished with value: 10.06942366313142 and parameters: {'x': 2.368979331565893, 'y': 2.7081400803511215}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,587] Trial 410 finished with value: 6.13664299399473 and parameters: {'x': 1.0540333265179518, 'y': 1.4282302453602083}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,588] Trial 411 finished with value: 7.308753587807553 and parameters: {'x': 1.330671073227345, 'y': 1.6984403303355533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,588] Trial 412 finished with value: 6.767207011793218 and parameters: {'x': 1.206523047230095, 'y': 1.7496095327225718}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,589] Trial 413 finished with value: 8.92360731321179 and parameters: {'x': 1.3945161668885826, 'y': 2.4748484732751246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,590] Trial 414 finished with value: 6.680035661311976 and parameters: {'x': 1.9976931371083386, 'y': 2.0379928984768765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,591] Trial 415 finished with value: 7.414252441736993 and parameters: {'x': 1.534572725393671, 'y': 1.4067465865126285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,591] Trial 416 finished with value: 8.9996012583928 and parameters: {'x': 2.585170495454305, 'y': 1.3532149268593918}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,592] Trial 417 finished with value: 9.90548167086543 and parameters: {'x': 2.3399565787146277, 'y': 2.787020230782926}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,593] Trial 418 finished with value: 7.691607288024512 and parameters: {'x': 1.1359010765855024, 'y': 2.9686284408298524}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,594] Trial 419 finished with value: 9.796735720491617 and parameters: {'x': 2.820579493870747, 'y': 2.823207076944582}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,595] Trial 420 finished with value: 6.260789565502911 and parameters: {'x': 1.81156678146324, 'y': 1.1360440007461408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,596] Trial 421 finished with value: 9.21860388769146 and parameters: {'x': 2.4250417759272396, 'y': 2.151886634469717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,596] Trial 422 finished with value: 9.088805627236487 and parameters: {'x': 2.4946484937597644, 'y': 1.489491780477701}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,597] Trial 423 finished with value: 6.226677245473308 and parameters: {'x': 1.1477089283401192, 'y': 2.056377420203176}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,598] Trial 424 finished with value: 8.483973107680615 and parameters: {'x': 2.3302930707241654, 'y': 1.8862617093564347}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,599] Trial 425 finished with value: 10.189866481093429 and parameters: {'x': 2.8205578954962713, 'y': 2.6743642252871402}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,600] Trial 426 finished with value: 4.266283468162449 and parameters: {'x': 1.128574522835871, 'y': 1.0186489038456865}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,600] Trial 427 finished with value: 8.788669762186533 and parameters: {'x': 1.3313453765359875, 'y': 2.4692989209762657}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,601] Trial 428 finished with value: 9.897316989347988 and parameters: {'x': 2.379633485342911, 'y': 2.9387309613275088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,602] Trial 429 finished with value: 7.733897179743261 and parameters: {'x': 2.3548144243288824, 'y': 1.0883146783356357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,603] Trial 430 finished with value: 9.770730743480064 and parameters: {'x': 2.34392440316154, 'y': 2.9737399239212152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,604] Trial 431 finished with value: 6.651404870689522 and parameters: {'x': 1.2401114796732557, 'y': 1.9103876401791673}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,604] Trial 432 finished with value: 8.624387367423939 and parameters: {'x': 2.343842819069655, 'y': 1.402892703320057}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,605] Trial 433 finished with value: 7.319391065120538 and parameters: {'x': 1.3369742062000984, 'y': 1.7193648999124012}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,606] Trial 434 finished with value: 8.63207059410576 and parameters: {'x': 1.568076793133939, 'y': 2.284355408978114}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,607] Trial 435 finished with value: 6.170131843245223 and parameters: {'x': 1.0418953375485036, 'y': 2.135054245104543}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,608] Trial 436 finished with value: 10.369997992085416 and parameters: {'x': 2.61908092246873, 'y': 2.7087079857491236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,608] Trial 437 finished with value: 8.214286391310745 and parameters: {'x': 2.1802285557954493, 'y': 1.6466895137837072}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,609] Trial 438 finished with value: 6.5325083151338745 and parameters: {'x': 1.301511960988448, 'y': 1.2904075186733923}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,610] Trial 439 finished with value: 7.81961102131716 and parameters: {'x': 1.951071480713511, 'y': 2.225511766887371}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,611] Trial 440 finished with value: 8.789791847209642 and parameters: {'x': 1.752568510864902, 'y': 2.9694528025425426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,612] Trial 441 finished with value: 8.845951391776083 and parameters: {'x': 2.9348530597453095, 'y': 1.7386220876900822}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,612] Trial 442 finished with value: 6.8313562893640825 and parameters: {'x': 1.1584195744800634, 'y': 2.1553107291156395}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,613] Trial 443 finished with value: 8.282440802944908 and parameters: {'x': 2.084635187581866, 'y': 2.9245462877708213}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,614] Trial 444 finished with value: 8.144098982016738 and parameters: {'x': 2.170455647030789, 'y': 1.6684600849133298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,615] Trial 445 finished with value: 9.296643075908719 and parameters: {'x': 2.615662796561897, 'y': 1.6100294259063987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,616] Trial 446 finished with value: 9.19390522333622 and parameters: {'x': 2.710246886375865, 'y': 2.130858864690644}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,617] Trial 447 finished with value: 7.531965885725688 and parameters: {'x': 1.9211051500257048, 'y': 1.6758861594909447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,618] Trial 448 finished with value: 7.331382168303733 and parameters: {'x': 1.67953723621456, 'y': 1.3365870657098382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,618] Trial 449 finished with value: 9.116973692268562 and parameters: {'x': 1.820991457831393, 'y': 2.567164362724064}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,619] Trial 450 finished with value: 7.53338235239057 and parameters: {'x': 1.9203094803694931, 'y': 2.1793049604401054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,620] Trial 451 finished with value: 9.224526595418926 and parameters: {'x': 2.9455951435052024, 'y': 1.5139853696768606}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,621] Trial 452 finished with value: 9.223170573081077 and parameters: {'x': 2.8334166644240124, 'y': 2.20836504015143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,621] Trial 453 finished with value: 6.999654263756282 and parameters: {'x': 2.1589629880195247, 'y': 1.1846411930598055}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,622] Trial 454 finished with value: 9.474341672965183 and parameters: {'x': 2.3580782494123866, 'y': 2.279417077265129}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,623] Trial 455 finished with value: 9.253298623237097 and parameters: {'x': 2.253015026281642, 'y': 2.3185464367108874}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,624] Trial 456 finished with value: 8.602639781988247 and parameters: {'x': 2.275602548119463, 'y': 1.624827040663725}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,625] Trial 457 finished with value: 7.068551848614295 and parameters: {'x': 1.2603772254821308, 'y': 1.5837727142113327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,626] Trial 458 finished with value: 7.263162553099972 and parameters: {'x': 1.5488473138379997, 'y': 1.3364308979656776}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,626] Trial 459 finished with value: 5.765175900097962 and parameters: {'x': 1.1229934553422611, 'y': 1.2923904534654271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,627] Trial 460 finished with value: 8.572357997524358 and parameters: {'x': 1.257217475209221, 'y': 2.8270229736591785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,628] Trial 461 finished with value: 7.415567768970856 and parameters: {'x': 1.7180858011424407, 'y': 1.934051058822824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,629] Trial 462 finished with value: 9.803728923767403 and parameters: {'x': 2.5377612159072194, 'y': 2.2768073417972357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,630] Trial 463 finished with value: 9.955064351324634 and parameters: {'x': 2.3275460896894495, 'y': 2.5531141437345415}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,631] Trial 464 finished with value: 5.517910246875086 and parameters: {'x': 1.2201709091358888, 'y': 1.1594546254794982}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,632] Trial 465 finished with value: 8.061151142105938 and parameters: {'x': 2.024787757538992, 'y': 2.9274920965050972}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,633] Trial 466 finished with value: 9.397189288983204 and parameters: {'x': 2.1515716756798198, 'y': 2.5306991635013265}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,633] Trial 467 finished with value: 5.985517249850933 and parameters: {'x': 1.3849905711991588, 'y': 1.055927677523281}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,634] Trial 468 finished with value: 9.097225643154763 and parameters: {'x': 1.4351199031730522, 'y': 2.5454135155465614}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,635] Trial 469 finished with value: 7.349261704988377 and parameters: {'x': 1.35346191711857, 'y': 1.7546081296735883}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,636] Trial 470 finished with value: 9.272408270563856 and parameters: {'x': 2.875235831831837, 'y': 2.938171401114677}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,637] Trial 471 finished with value: 8.069162624819043 and parameters: {'x': 2.9184584255922643, 'y': 1.94201393085539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,638] Trial 472 finished with value: 8.81761865638411 and parameters: {'x': 2.4089709739522425, 'y': 1.8531264383292128}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,639] Trial 473 finished with value: 8.035542180154685 and parameters: {'x': 1.3427513767860373, 'y': 2.222036587264789}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,639] Trial 474 finished with value: 9.231385190851347 and parameters: {'x': 1.6136788146729355, 'y': 2.5427165815495023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,640] Trial 475 finished with value: 8.079791775891733 and parameters: {'x': 1.9125417091420505, 'y': 2.974755165461713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,641] Trial 476 finished with value: 8.341523743372877 and parameters: {'x': 2.5162039041844384, 'y': 1.1370628964009615}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,642] Trial 477 finished with value: 8.111643884158484 and parameters: {'x': 2.4774050077230263, 'y': 1.0731466336537492}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,643] Trial 478 finished with value: 7.5399208344987585 and parameters: {'x': 2.8345234456844723, 'y': 1.0193880363125856}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,643] Trial 479 finished with value: 4.433360827827819 and parameters: {'x': 1.0737285407959989, 'y': 1.1240856472950298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,644] Trial 480 finished with value: 6.96592599656371 and parameters: {'x': 1.917376657427001, 'y': 1.2967197922321945}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,646] Trial 481 finished with value: 6.482139651511581 and parameters: {'x': 1.0444818819023245, 'y': 2.176468521442921}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,647] Trial 482 finished with value: 9.11485254373537 and parameters: {'x': 2.048580208536864, 'y': 2.6071264572872}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,648] Trial 483 finished with value: 5.431608150828463 and parameters: {'x': 1.1894684017034052, 'y': 1.1771668066738374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,648] Trial 484 finished with value: 9.916633525227567 and parameters: {'x': 2.3771078699084693, 'y': 2.9920290455237555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,649] Trial 485 finished with value: 8.672783876245514 and parameters: {'x': 2.986832268951524, 'y': 1.2963533246316374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,650] Trial 486 finished with value: 8.304980857866417 and parameters: {'x': 1.8838423536074562, 'y': 2.293381683328426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,651] Trial 487 finished with value: 8.312468549380213 and parameters: {'x': 2.605279862637339, 'y': 1.104352806033127}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,652] Trial 488 finished with value: 5.853085423960124 and parameters: {'x': 1.8449842618430872, 'y': 1.072398768972538}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,653] Trial 489 finished with value: 10.386651371749663 and parameters: {'x': 2.6310189414260505, 'y': 2.6738996139987643}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,653] Trial 490 finished with value: 8.745469373890751 and parameters: {'x': 2.8645250632754204, 'y': 1.308649034603559}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,654] Trial 491 finished with value: 9.203342174566815 and parameters: {'x': 2.2366663140241325, 'y': 2.3220086289326023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,655] Trial 492 finished with value: 7.620833240361959 and parameters: {'x': 1.7828303566350192, 'y': 1.4731366108109194}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,656] Trial 493 finished with value: 6.443411611560421 and parameters: {'x': 1.087773688862931, 'y': 1.5288574048348782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,657] Trial 494 finished with value: 9.289432601334944 and parameters: {'x': 1.6649581758396033, 'y': 2.6842053451927765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,658] Trial 495 finished with value: 5.398308960090418 and parameters: {'x': 1.0066322310308962, 'y': 1.9593038112676802}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,658] Trial 496 finished with value: 7.862686650656634 and parameters: {'x': 2.8254045010036575, 'y': 1.112352158376197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,659] Trial 497 finished with value: 7.9200738443641665 and parameters: {'x': 2.408098570015621, 'y': 1.0761987677246792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,660] Trial 498 finished with value: 6.712922715771459 and parameters: {'x': 1.2761302578999503, 'y': 1.3688914376676131}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,661] Trial 499 finished with value: 10.186262582979126 and parameters: {'x': 2.4800498669245994, 'y': 2.842080919283535}. Best is trial 100 with value: 4.045505869420193.\n\u001b[2Kreading sources... [ 83%] reference/visualization/generated/optuna.visualization.plot_edf\n[I 2023-11-01 05:13:26,744] A new study created in memory with name: no-name-953ef23e-5a4e-4c32-a73e-fb5510c10bcf\n[I 2023-11-01 05:13:26,747] Trial 0 finished with values: [105.49307621727463, 5.239248577545907] and parameters: {'x': 4.28917106021181, 'y': 2.824230987465465}. \n[I 2023-11-01 05:13:26,749] Trial 1 finished with values: [2.4182793699144116, 42.754130434326626] and parameters: {'x': 0.007539601997515466, 'y': 0.7775043388176828}. \n[I 2023-11-01 05:13:26,750] Trial 2 finished with values: [50.91047259838507, 14.21209074088079] and parameters: {'x': 3.118176598218504, 'y': 1.7333761426530434}. \n[I 2023-11-01 05:13:26,752] Trial 3 finished with values: [34.08926215958469, 20.018219785533912] and parameters: {'x': 1.1803932039633076, 'y': 2.6700163714729186}. \n[I 2023-11-01 05:13:26,753] Trial 4 finished with values: [21.387371907109422, 25.187741269101654] and parameters: {'x': 2.1400096311738293, 'y': 0.8759005395937411}. \n[I 2023-11-01 05:13:26,754] Trial 5 finished with values: [28.47224810043761, 20.080397505268877] and parameters: {'x': 1.491939438930675, 'y': 2.2118270130533775}. \n[I 2023-11-01 05:13:26,755] Trial 6 finished with values: [34.79692525085332, 25.834495539271252] and parameters: {'x': 2.9275220033776446, 'y': 0.3589515739665632}. \n[I 2023-11-01 05:13:26,756] Trial 7 finished with values: [14.992181265583149, 26.51849239338911] and parameters: {'x': 1.5043106858534765, 'y': 1.2186446064471916}. \n[I 2023-11-01 05:13:26,757] Trial 8 finished with values: [74.74860648981647, 8.62281479399137] and parameters: {'x': 3.572659037453158, 'y': 2.4337746453931164}. \n[I 2023-11-01 05:13:26,758] Trial 9 finished with values: [33.060670128487004, 24.984932088454094] and parameters: {'x': 0.49625812175192574, 'y': 2.83176542261484}. \n[I 2023-11-01 05:13:26,760] Trial 10 finished with values: [50.87027752994131, 12.284325880673176] and parameters: {'x': 2.519525364390109, 'y': 2.5237989857911063}. \n[I 2023-11-01 05:13:26,761] Trial 11 finished with values: [47.81282416793959, 20.76204060715847] and parameters: {'x': 3.3766849726681345, 'y': 0.7424315708145082}. \n[I 2023-11-01 05:13:26,762] Trial 12 finished with values: [68.0923798127526, 10.936461007950562] and parameters: {'x': 3.608863367444217, 'y': 1.9998000270795417}. \n[I 2023-11-01 05:13:26,763] Trial 13 finished with values: [68.11332765071177, 18.283317865248762] and parameters: {'x': 4.041611936672762, 'y': 0.8328894680701556}. \n[I 2023-11-01 05:13:26,763] Trial 14 finished with values: [21.358706939468448, 23.783978285833946] and parameters: {'x': 1.153010740187987, 'y': 2.0025591047153295}. \n[I 2023-11-01 05:13:26,765] Trial 15 finished with values: [7.718425157345697, 32.38277858917249] and parameters: {'x': 0.8793262748543434, 'y': 1.07535649516205}. \n[I 2023-11-01 05:13:26,767] Trial 16 finished with values: [59.5555782074048, 11.855204653068668] and parameters: {'x': 3.294348182434405, 'y': 2.009020807443848}. \n[I 2023-11-01 05:13:26,768] Trial 17 finished with values: [18.006300686945604, 32.5693195754777] and parameters: {'x': 2.120442842381498, 'y': 0.07278271724437269}. \n[I 2023-11-01 05:13:26,769] Trial 18 finished with values: [76.5109041421351, 9.073144911020501] and parameters: {'x': 3.742648803674684, 'y': 2.262809308776643}. \n[I 2023-11-01 05:13:26,769] Trial 19 finished with values: [48.083929856466646, 14.391241944711034] and parameters: {'x': 2.9637333460046413, 'y': 1.7992407059359217}. \n[I 2023-11-01 05:13:26,770] Trial 20 finished with values: [2.6225106872500827, 39.399098372989904] and parameters: {'x': 0.4577540790915152, 'y': 0.6678988507907463}. \n[I 2023-11-01 05:13:26,771] Trial 21 finished with values: [5.6078229471826235, 35.64656489864106] and parameters: {'x': 0.5042258640725272, 'y': 1.0713132197429327}. \n[I 2023-11-01 05:13:26,772] Trial 22 finished with values: [61.500965171902635, 10.05199776075841] and parameters: {'x': 2.9558130642314717, 'y': 2.576511288990253}. \n[I 2023-11-01 05:13:26,773] Trial 23 finished with values: [33.24618817618619, 22.54169448578477] and parameters: {'x': 2.766790967850251, 'y': 0.8101942879759266}. \n[I 2023-11-01 05:13:26,774] Trial 24 finished with values: [111.28023206521948, 8.941003488429816] and parameters: {'x': 4.875461939258788, 'y': 2.0124435135287175}. \n[I 2023-11-01 05:13:26,775] Trial 25 finished with values: [23.329784974138647, 31.268146609533915] and parameters: {'x': 2.414684989957687, 'y': 0.04174497344238792}. \n[I 2023-11-01 05:13:26,775] Trial 26 finished with values: [61.5382356412469, 9.994434997487087] and parameters: {'x': 2.620795444648935, 'y': 2.9182169466335286}. \n[I 2023-11-01 05:13:26,776] Trial 27 finished with values: [19.38790553248352, 29.815484083131754] and parameters: {'x': 0.325805110938428, 'y': 2.1773441190604848}. \n[I 2023-11-01 05:13:26,777] Trial 28 finished with values: [59.22176916725303, 23.62911464177838] and parameters: {'x': 3.8375789436798966, 'y': 0.28005382132359136}. \n[I 2023-11-01 05:13:26,778] Trial 29 finished with values: [36.076491502113846, 28.502159224275438] and parameters: {'x': 3.002787166249684, 'y': 0.048909198875618176}. \n[I 2023-11-01 05:13:26,779] Trial 30 finished with values: [29.197595158114932, 22.262953738951666] and parameters: {'x': 0.9897079629966982, 'y': 2.5139365420610083}. \n[I 2023-11-01 05:13:26,780] Trial 31 finished with values: [1.5437246316074695, 42.17390188639581] and parameters: {'x': 0.25448606695871956, 'y': 0.5667168601918858}. \n[I 2023-11-01 05:13:26,781] Trial 32 finished with values: [83.97701474291661, 19.785756860352084] and parameters: {'x': 4.545708567862597, 'y': 0.5751411146751101}. \n[I 2023-11-01 05:13:26,782] Trial 33 finished with values: [35.320753634030424, 17.247310749972684] and parameters: {'x': 2.382878830442002, 'y': 1.7754089354114904}. \n[I 2023-11-01 05:13:26,783] Trial 34 finished with values: [50.74907039061639, 26.349085413871475] and parameters: {'x': 3.5611783222903104, 'y': 0.07263989608795196}. \n[I 2023-11-01 05:13:26,783] Trial 35 finished with values: [28.138034773705062, 25.213898923991906] and parameters: {'x': 0.5981174351450025, 'y': 2.583943541798433}. \n[I 2023-11-01 05:13:26,784] Trial 36 finished with values: [16.316954218661238, 29.11028808048897] and parameters: {'x': 0.5549072884823536, 'y': 1.94198775893528}. \n[I 2023-11-01 05:13:26,785] Trial 37 finished with values: [15.258936071960601, 32.940969383357384] and parameters: {'x': 0.13920944041591, 'y': 1.9481670230473669}. \n[I 2023-11-01 05:13:26,786] Trial 38 finished with values: [26.691479919500754, 30.558375022202316] and parameters: {'x': 2.5830335878678463, 'y': 0.02841590789944093}. \n[I 2023-11-01 05:13:26,787] Trial 39 finished with values: [79.68956855401672, 8.848417959112547] and parameters: {'x': 3.8512701879541305, 'y': 2.256127229985033}. \n[I 2023-11-01 05:13:26,788] Trial 40 finished with values: [13.147244131965323, 27.877701150566686] and parameters: {'x': 1.4417691069861782, 'y': 1.0991418812562865}. \n[I 2023-11-01 05:13:26,789] Trial 41 finished with values: [123.86194662675962, 4.751322086340966] and parameters: {'x': 4.7911398301370465, 'y': 2.830276626897847}. \n[I 2023-11-01 05:13:26,790] Trial 42 finished with values: [101.01294202105038, 7.623779436580306] and parameters: {'x': 4.473379132872097, 'y': 2.289566473996132}. \n[I 2023-11-01 05:13:26,791] Trial 43 finished with values: [29.852230535695313, 25.323236028426116] and parameters: {'x': 2.678955858091242, 'y': 0.5350263024585299}. \n[I 2023-11-01 05:13:26,792] Trial 44 finished with values: [76.39588406434554, 19.198461105361584] and parameters: {'x': 4.318300923075188, 'y': 0.6717500679972921}. \n[I 2023-11-01 05:13:26,793] Trial 45 finished with values: [46.10632088733226, 13.97109433760054] and parameters: {'x': 2.7086511847660066, 'y': 2.046897403657246}. \n[I 2023-11-01 05:13:26,794] Trial 46 finished with values: [8.033955355028807, 32.88663973010493] and parameters: {'x': 1.2563117686745113, 'y': 0.6558731421907158}. \n[I 2023-11-01 05:13:26,794] Trial 47 finished with values: [73.57874083624267, 10.52649793187809] and parameters: {'x': 3.8019933487843782, 'y': 1.9848253789338797}. \n[I 2023-11-01 05:13:26,795] Trial 48 finished with values: [7.761348562446933, 32.475034461755435] and parameters: {'x': 0.8218598851660935, 'y': 1.1246703827195366}. \n[I 2023-11-01 05:13:26,796] Trial 49 finished with values: [70.78366624076264, 21.832506663397783] and parameters: {'x': 4.187722516213624, 'y': 0.3986184734656636}. \n\u001b[2Kreading sources... [ 83%] reference/visualization/generated/optuna.visualization.plot_hypervolume_history\n<string>:17: ExperimentalWarning:\n\nplot_hypervolume_history is experimental (supported from v3.3.0). The interface can change in the future.\n\n[I 2023-11-01 05:13:26,879] A new study created in memory with name: no-name-be95f7a1-b9cc-42c3-9e18-7496cffdb556\n[I 2023-11-01 05:13:26,884] Trial 0 finished with value: 0.0019136820148431557 and parameters: {'lr': 0.012169775677700537}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:13:26,888] Trial 1 finished with value: 0.9938688492959205 and parameters: {'lr': 1.2106198691436028e-05}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:13:26,892] Trial 2 finished with value: 0.1745378429868226 and parameters: {'lr': 0.0034244666391252923}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:13:26,896] Trial 3 finished with value: 0.006252957628893589 and parameters: {'lr': 0.009890438121030055}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:13:26,900] Trial 4 finished with value: 0.6055868994372475 and parameters: {'lr': 0.0009863431872330064}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:13:26,901] Trial 5 pruned. \n[I 2023-11-01 05:13:26,903] Trial 6 pruned. \n[I 2023-11-01 05:13:26,935] Trial 7 finished with value: 0.00348251977331975 and parameters: {'lr': 0.011018509458263562}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:13:26,937] Trial 8 pruned. \n[I 2023-11-01 05:13:26,938] Trial 9 pruned. \n[I 2023-11-01 05:13:26,974] Trial 10 finished with value: 2.8413318183320897e-13 and parameters: {'lr': 0.053753912442422704}. Best is trial 10 with value: 2.8413318183320897e-13.\n[I 2023-11-01 05:13:27,011] Trial 11 finished with value: 3.23351297854631e-20 and parameters: {'lr': 0.08097836606986637}. Best is trial 11 with value: 3.23351297854631e-20.\n[I 2023-11-01 05:13:27,049] Trial 12 finished with value: 1.5818620680169856e-23 and parameters: {'lr': 0.09336678872953223}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:13:27,094] Trial 13 finished with value: 8.701934191941001e-16 and parameters: {'lr': 0.06380854538856418}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:13:27,128] Trial 14 finished with value: 1.3380099081736585e-15 and parameters: {'lr': 0.0630691017367573}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:13:27,162] Trial 15 finished with value: 1.380974859858719e-22 and parameters: {'lr': 0.08988313704170887}. Best is trial 12 with value: 1.5818620680169856e-23.\n\u001b[2Kreading sources... [ 84%] reference/visualization/generated/optuna.visualization.plot_intermediate_values\n[I 2023-11-01 05:13:27,283] A new study created in memory with name: no-name-ea9eca02-47a4-4bf2-870e-cf6d36179848\n[I 2023-11-01 05:13:27,284] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:13:27,285] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,286] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,287] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,288] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,289] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,289] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,290] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,291] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,292] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 84%] reference/visualization/generated/optuna.visualization.plot_optimization_history\n[I 2023-11-01 05:13:27,384] A new study created in memory with name: no-name-15d4dfa9-cf98-4243-bd4a-3f6d37d12ddd\n[I 2023-11-01 05:13:27,385] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:13:27,385] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,386] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,387] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,388] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,389] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,389] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,390] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,391] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,392] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 85%] reference/visualization/generated/optuna.visualization.plot_parallel_coordinate\n[I 2023-11-01 05:13:27,477] A new study created in memory with name: no-name-6b286ef9-4088-4cee-ab1e-ce15aff99034\n[I 2023-11-01 05:13:27,479] Trial 0 finished with value: 2.303288077753039 and parameters: {'x': 2, 'y': -0.958496101281197, 'z': 0.9504723523894132}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:13:27,480] Trial 1 finished with value: 3.987072181809778 and parameters: {'x': 2, 'y': -0.0029859753948191514, 'z': 0.3371949682962715}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:13:27,481] Trial 2 finished with value: 0.1373303052750334 and parameters: {'x': 0, 'y': 0.5210614243979175, 'z': 0.2536662548438032}. Best is trial 2 with value: 0.1373303052750334.\n[I 2023-11-01 05:13:27,482] Trial 3 finished with value: -4.131719919585369 and parameters: {'x': 0, 'y': 0.3707196367355945, 'z': 1.4300900192924049}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,482] Trial 4 finished with value: -2.2075688995928044 and parameters: {'x': 0, 'y': 0.024384526771553228, 'z': 1.2189314424781703}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,483] Trial 5 finished with value: 1.0504976105266983 and parameters: {'x': 1, 'y': 0.4435106348635991, 'z': 0.43781410225594974}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,484] Trial 6 finished with value: 3.6403994820820413 and parameters: {'x': 2, 'y': 0.42915156679538113, 'z': 0.8138165520168918}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,485] Trial 7 finished with value: -1.0618155340386866 and parameters: {'x': 0, 'y': -0.2533184798970616, 'z': 1.011200422599518}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,486] Trial 8 finished with value: 0.26036828149432933 and parameters: {'x': 1, 'y': -0.13197201333341257, 'z': 0.9266504677039757}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,487] Trial 9 finished with value: 0.3665588473301721 and parameters: {'x': 1, 'y': 0.30079436386293446, 'z': 0.9015584301068166}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,488] Trial 10 finished with value: 0.5490457030167408 and parameters: {'x': 2, 'y': 0.043294304787268256, 'z': 1.3629733212130024}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,489] Trial 11 finished with value: -0.5909072245888702 and parameters: {'x': 0, 'y': -0.8190813014581853, 'z': 0.45105008495430504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,490] Trial 12 finished with value: 0.28403878205829847 and parameters: {'x': 0, 'y': 0.6573626526153533, 'z': 0.07034447908387464}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,491] Trial 13 finished with value: -1.2800539009325118 and parameters: {'x': 1, 'y': 0.09517231183848707, 'z': 1.228930493505103}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,492] Trial 14 finished with value: 0.28612245684320287 and parameters: {'x': 0, 'y': 0.7137006049154664, 'z': 0.5274789591481319}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,493] Trial 15 finished with value: 0.8413984238191299 and parameters: {'x': 2, 'y': -0.4080765862406426, 'z': 1.3259047193417794}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,494] Trial 16 finished with value: -0.4209059689419605 and parameters: {'x': 0, 'y': -0.669968204561703, 'z': 0.5887938659198809}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,495] Trial 17 finished with value: 0.2622281285098704 and parameters: {'x': 0, 'y': 0.6422113156738569, 'z': 0.2267280294638458}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,495] Trial 18 finished with value: -3.1150676084049143 and parameters: {'x': 1, 'y': 0.8885214244776023, 'z': 1.4814382123528085}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,496] Trial 19 finished with value: 1.2572674813923508 and parameters: {'x': 1, 'y': 0.6522456876854796, 'z': 0.377061201310589}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,497] Trial 20 finished with value: 1.109576126625988 and parameters: {'x': 1, 'y': 0.8056635206632548, 'z': 0.8018369232027226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,498] Trial 21 finished with value: 0.13525979446250405 and parameters: {'x': 1, 'y': -0.9214364655492253, 'z': 0.5357726379518044}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,499] Trial 22 finished with value: -0.11946269307197326 and parameters: {'x': 0, 'y': -0.38908016331436346, 'z': 0.496078967973198}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,500] Trial 23 finished with value: 3.048844180430364 and parameters: {'x': 2, 'y': -0.9200815826200455, 'z': 0.6442382676474575}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,501] Trial 24 finished with value: -0.052504516247150426 and parameters: {'x': 0, 'y': 0.27298228613508924, 'z': 0.5195207251200495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,502] Trial 25 finished with value: -1.2792692674509083 and parameters: {'x': 0, 'y': 0.759830349035832, 'z': 1.1448608807155216}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,503] Trial 26 finished with value: 3.314670809360776 and parameters: {'x': 2, 'y': -0.16498171232146608, 'z': 0.9083663465906351}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,504] Trial 27 finished with value: 0.9835588143169801 and parameters: {'x': 1, 'y': 0.1956732959259473, 'z': 0.3933234916979254}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,505] Trial 28 finished with value: -0.8979185222841687 and parameters: {'x': 0, 'y': -0.9492004358997879, 'z': 0.45459384097655214}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,506] Trial 29 finished with value: -0.5162192525906403 and parameters: {'x': 0, 'y': 0.11515637732528838, 'z': 0.8482605298322513}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,507] Trial 30 finished with value: 0.9287478215836122 and parameters: {'x': 1, 'y': -0.4144040474209818, 'z': 0.09637659104223667}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,508] Trial 31 finished with value: 3.6629941314557772 and parameters: {'x': 2, 'y': -0.3205843127242727, 'z': 0.7425729463236814}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,508] Trial 32 finished with value: 3.9463906776735107 and parameters: {'x': 2, 'y': -0.11845235019866696, 'z': 0.4774092082184268}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,509] Trial 33 finished with value: -1.6881011620090576 and parameters: {'x': 1, 'y': 0.156272859764935, 'z': 1.2809006257507296}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,510] Trial 34 finished with value: -1.893044916603758 and parameters: {'x': 0, 'y': -0.07093838444133493, 'z': 1.1729236779287227}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,511] Trial 35 finished with value: 4.005082765391397 and parameters: {'x': 2, 'y': 0.1720439601063517, 'z': 0.05564161985161181}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,512] Trial 36 finished with value: 0.9611598377675362 and parameters: {'x': 1, 'y': 0.12638136898549002, 'z': 0.44959480863684426}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,513] Trial 37 finished with value: 1.0385066437780113 and parameters: {'x': 1, 'y': 0.34693385056944104, 'z': 0.23879060006714026}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,514] Trial 38 finished with value: -0.03481869624869508 and parameters: {'x': 0, 'y': -0.32436822587064107, 'z': 0.16209565916917884}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,515] Trial 39 finished with value: 0.36926790170369916 and parameters: {'x': 0, 'y': 0.7716541923354114, 'z': 0.5480474568211737}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,516] Trial 40 finished with value: 0.12812115659454607 and parameters: {'x': 0, 'y': 0.5049923404372056, 'z': 0.16031937659035372}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,517] Trial 41 finished with value: 3.3512758155964324 and parameters: {'x': 2, 'y': -0.060429413119011066, 'z': 0.8973835069186638}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,518] Trial 42 finished with value: -1.128945814699914 and parameters: {'x': 0, 'y': -0.6319303558136975, 'z': 0.9676081897023627}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,519] Trial 43 finished with value: -0.5652914601075866 and parameters: {'x': 0, 'y': -0.5027749843944611, 'z': 0.8136127743420063}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,520] Trial 44 finished with value: -3.6754171752298412 and parameters: {'x': 0, 'y': -0.23717693019073582, 'z': 1.3833491803553195}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,521] Trial 45 finished with value: 3.5923565401224673 and parameters: {'x': 2, 'y': 0.1334998491499999, 'z': 0.800206327483504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,522] Trial 46 finished with value: 0.3273232510679114 and parameters: {'x': 0, 'y': 0.9557985268040099, 'z': 0.8595433560497787}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,523] Trial 47 finished with value: 1.0025147792970173 and parameters: {'x': 2, 'y': 0.12311472055273787, 'z': 1.316002862347402}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,524] Trial 48 finished with value: 1.0704131899221963 and parameters: {'x': 1, 'y': 0.41769965273791043, 'z': 0.22280017703468785}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,525] Trial 49 finished with value: 1.0577053447123854 and parameters: {'x': 1, 'y': 0.38778013268482336, 'z': 0.15692961678427975}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,525] Trial 50 finished with value: 0.3680190757085285 and parameters: {'x': 1, 'y': -0.6675957045909326, 'z': 0.7604679438960711}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,526] Trial 51 finished with value: 1.3747495993933643 and parameters: {'x': 2, 'y': -0.8197865305511229, 'z': 1.2001031260412178}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,527] Trial 52 finished with value: 0.9979094500663931 and parameters: {'x': 1, 'y': 0.1786954233612148, 'z': 0.29715098582440336}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,528] Trial 53 finished with value: 0.9319764488693013 and parameters: {'x': 1, 'y': -0.4081924755583253, 'z': 0.05633651391251654}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,529] Trial 54 finished with value: -1.5592042740852488 and parameters: {'x': 0, 'y': -0.09378999959753309, 'z': 1.1172961154251015}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,530] Trial 55 finished with value: 0.9838292684588362 and parameters: {'x': 1, 'y': -0.22977280086902696, 'z': 0.2521091962989279}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,531] Trial 56 finished with value: 2.1076623237986754 and parameters: {'x': 2, 'y': 0.19810359492298524, 'z': 1.1740722273674566}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,532] Trial 57 finished with value: 2.1246831699758735 and parameters: {'x': 2, 'y': 0.20632595172406965, 'z': 1.1715909259354231}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,533] Trial 58 finished with value: -1.4840880698467611 and parameters: {'x': 1, 'y': -0.95766961765569, 'z': 1.1256969157312366}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,534] Trial 59 finished with value: -0.3515250197672625 and parameters: {'x': 0, 'y': -0.08297158752545397, 'z': 0.7696840615983677}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,535] Trial 60 finished with value: 1.3220296764593489 and parameters: {'x': 1, 'y': 0.6887715890786952, 'z': 0.2622208422331791}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,536] Trial 61 finished with value: -1.2007575031405602 and parameters: {'x': 0, 'y': 0.6975281436224643, 'z': 1.1140118659491511}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,537] Trial 62 finished with value: 0.994468973365035 and parameters: {'x': 1, 'y': -0.1662031859012445, 'z': 0.1750942664204449}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,538] Trial 63 finished with value: -0.8620345557039887 and parameters: {'x': 1, 'y': -0.8106819185126939, 'z': 1.0737463091269712}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,539] Trial 64 finished with value: -0.7521010442890089 and parameters: {'x': 0, 'y': -0.588099483262055, 'z': 0.8606643471768032}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,540] Trial 65 finished with value: -2.080632890204889 and parameters: {'x': 0, 'y': 0.3114534854291964, 'z': 1.2053525216148295}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,540] Trial 66 finished with value: -1.7527509150220157 and parameters: {'x': 1, 'y': -0.8131192461124659, 'z': 1.2199741255062062}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,541] Trial 67 finished with value: 1.1629406477988748 and parameters: {'x': 2, 'y': -0.2131617751269692, 'z': 1.2967187907029298}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,542] Trial 68 finished with value: -1.5100225453807168 and parameters: {'x': 1, 'y': -0.48539422558999235, 'z': 1.2441028797408538}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,543] Trial 69 finished with value: 3.1274555273715547 and parameters: {'x': 2, 'y': 0.015201816109918775, 'z': 0.9664899225621255}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,544] Trial 70 finished with value: -3.911644822917701 and parameters: {'x': 0, 'y': 0.7914178974071162, 'z': 1.4489193772617226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,545] Trial 71 finished with value: 0.34386198109125343 and parameters: {'x': 0, 'y': 0.7311052364545663, 'z': 0.46542556041017846}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,546] Trial 72 finished with value: -0.7388007953082896 and parameters: {'x': 0, 'y': -0.9016096844525427, 'z': 0.27694025702139824}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,547] Trial 73 finished with value: -3.6407063057001596 and parameters: {'x': 0, 'y': -0.4850491531909138, 'z': 1.370372597356012}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,548] Trial 74 finished with value: -1.5826031648960468 and parameters: {'x': 1, 'y': -0.7395764210408102, 'z': 1.2148374981002679}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,549] Trial 75 finished with value: -2.589088162728826 and parameters: {'x': 1, 'y': -0.9511347100336718, 'z': 1.2852465639416288}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,550] Trial 76 finished with value: -0.007960371974823174 and parameters: {'x': 0, 'y': 0.4182119281439811, 'z': 0.533658514235495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,551] Trial 77 finished with value: 3.9028308169237502 and parameters: {'x': 2, 'y': 0.6892377222877011, 'z': 0.8072212757099377}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,552] Trial 78 finished with value: 0.46670116449600285 and parameters: {'x': 1, 'y': -0.7549800371251603, 'z': 0.5664628778611204}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,553] Trial 79 finished with value: -2.2015513126587933 and parameters: {'x': 1, 'y': 0.022417292570930725, 'z': 1.3376438549035414}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,554] Trial 80 finished with value: -2.013616301607068 and parameters: {'x': 0, 'y': -0.207116242243099, 'z': 1.189909849541421}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,555] Trial 81 finished with value: -1.7738059712887448 and parameters: {'x': 1, 'y': -0.6302649000181753, 'z': 1.2603709741325857}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,555] Trial 82 finished with value: -4.523011054108479 and parameters: {'x': 1, 'y': -0.8798995888983607, 'z': 1.4833754612943018}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:13:27,556] Trial 83 finished with value: -0.08079888724155815 and parameters: {'x': 0, 'y': 0.22940342596033925, 'z': 0.5520400212531891}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:13:27,557] Trial 84 finished with value: 1.7141266522072458 and parameters: {'x': 2, 'y': 0.25512370541125784, 'z': 1.2318247142973906}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:13:27,558] Trial 85 finished with value: -0.7520872270920254 and parameters: {'x': 0, 'y': -0.4504097368144626, 'z': 0.901577836698765}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:13:27,559] Trial 86 finished with value: 4.046893464626376 and parameters: {'x': 2, 'y': 0.41459261868287456, 'z': 0.3951047474351363}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:13:27,560] Trial 87 finished with value: -4.571964349495191 and parameters: {'x': 0, 'y': -0.08255154162027267, 'z': 1.4622187490950038}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,561] Trial 88 finished with value: 3.769073758442562 and parameters: {'x': 2, 'y': -0.6134925354270779, 'z': 0.0701088407420925}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,562] Trial 89 finished with value: 1.9906707709215672 and parameters: {'x': 2, 'y': 0.7172980309368531, 'z': 1.2418547636228567}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,563] Trial 90 finished with value: 0.20579475832853023 and parameters: {'x': 2, 'y': 0.1978728981453497, 'z': 1.3963737537716272}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,564] Trial 91 finished with value: -0.5572192676601909 and parameters: {'x': 0, 'y': -0.7720793824906156, 'z': 0.5580433532607516}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,565] Trial 92 finished with value: 3.115262529317084 and parameters: {'x': 2, 'y': -0.3577159370700811, 'z': 0.9570526220169401}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,566] Trial 93 finished with value: -0.06522562849929504 and parameters: {'x': 0, 'y': 0.08693007694983201, 'z': 0.5066319703277753}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,567] Trial 94 finished with value: 4.574547370310522 and parameters: {'x': 2, 'y': 0.8814140769664465, 'z': 0.5761827737303541}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,568] Trial 95 finished with value: 1.5015652459171465 and parameters: {'x': 1, 'y': 0.7945598896386961, 'z': 0.08823355215277057}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,569] Trial 96 finished with value: 0.5950628609995365 and parameters: {'x': 1, 'y': -0.7396489187381752, 'z': 0.13045411338692636}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,570] Trial 97 finished with value: 3.3511994815140613 and parameters: {'x': 2, 'y': -0.3908532893067598, 'z': 0.8760838088329035}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,571] Trial 98 finished with value: 3.781443021265078 and parameters: {'x': 2, 'y': 0.7615841212270811, 'z': 0.9014313108685146}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,572] Trial 99 finished with value: 0.26309303070193535 and parameters: {'x': 1, 'y': -0.8867435943237876, 'z': 0.44622614546388273}. Best is trial 87 with value: -4.571964349495191.\n\u001b[2Kreading sources... [ 85%] reference/visualization/generated/optuna.visualization.plot_param_importances\n[I 2023-11-01 05:13:29,023] A new study created in memory with name: no-name-76454a70-1450-4b57-aaae-729a1258b578\n[I 2023-11-01 05:13:29,025] Trial 0 finished with values: [60.839498215625845, 20.557569521342742] and parameters: {'x': 3.8513698393129414, 'y': 0.6138606639434306}. \n[I 2023-11-01 05:13:29,026] Trial 1 finished with values: [75.6765269970235, 9.912597434921036] and parameters: {'x': 3.8193135655343906, 'y': 2.0813398658990936}. \n[I 2023-11-01 05:13:29,026] Trial 2 finished with values: [50.76866965645232, 13.992471664146379] and parameters: {'x': 3.0806881185321995, 'y': 1.7892814564644706}. \n[I 2023-11-01 05:13:29,027] Trial 3 finished with values: [9.780253792468034, 30.818204424176386] and parameters: {'x': 0.8506285260845131, 'y': 1.3120573763095489}. \n[I 2023-11-01 05:13:29,028] Trial 4 finished with values: [8.02347959518273, 32.27461067097745] and parameters: {'x': 1.1586921936829193, 'y': 0.8144337290989038}. \n[I 2023-11-01 05:13:29,029] Trial 5 finished with values: [114.02644882131683, 5.308542438404032] and parameters: {'x': 4.586409051554322, 'y': 2.7333979251381955}. \n[I 2023-11-01 05:13:29,030] Trial 6 finished with values: [93.36787160177158, 9.579235820427932] and parameters: {'x': 4.415641774846079, 'y': 1.9606314331554178}. \n[I 2023-11-01 05:13:29,030] Trial 7 finished with values: [10.261124154496988, 35.47023820271913] and parameters: {'x': 1.5977456110858994, 'y': 0.11175867250461213}. \n[I 2023-11-01 05:13:29,031] Trial 8 finished with values: [76.1379102840047, 19.977299433457603] and parameters: {'x': 4.323880544500293, 'y': 0.5818372692540644}. \n[I 2023-11-01 05:13:29,032] Trial 9 finished with values: [33.58532113452739, 17.546853061098325] and parameters: {'x': 2.2051565843341865, 'y': 1.8797911379191654}. \n[I 2023-11-01 05:13:29,033] Trial 10 finished with values: [94.80156389912213, 10.93309900369197] and parameters: {'x': 4.552883291937647, 'y': 1.723845905171209}. \n[I 2023-11-01 05:13:29,033] Trial 11 finished with values: [35.15952982860579, 19.310396331971816] and parameters: {'x': 1.268023410795922, 'y': 2.679925201722041}. \n[I 2023-11-01 05:13:29,034] Trial 12 finished with values: [70.57343168407641, 14.951458859235878] and parameters: {'x': 4.005940421476566, 'y': 1.2632494847017564}. \n[I 2023-11-01 05:13:29,035] Trial 13 finished with values: [81.8014663547554, 10.715835586743768] and parameters: {'x': 4.12893835588836, 'y': 1.844514744306148}. \n[I 2023-11-01 05:13:29,036] Trial 14 finished with values: [23.505215998841912, 23.219490613806272] and parameters: {'x': 2.154360897618915, 'y': 1.1113204409715056}. \n[I 2023-11-01 05:13:29,037] Trial 15 finished with values: [9.544514915287603, 36.47591608232692] and parameters: {'x': 1.5439938975145784, 'y': 0.04702736713492006}. \n[I 2023-11-01 05:13:29,038] Trial 16 finished with values: [1.9130412991906387, 42.69898960234727] and parameters: {'x': 0.0925895663378995, 'y': 0.6853375059071402}. \n[I 2023-11-01 05:13:29,038] Trial 17 finished with values: [46.513732901773956, 13.406214183062087] and parameters: {'x': 2.438689735508042, 'y': 2.383532168730098}. \n[I 2023-11-01 05:13:29,039] Trial 18 finished with values: [14.720744884053317, 26.83120093284827] and parameters: {'x': 1.537187763417579, 'y': 1.147710765398927}. \n[I 2023-11-01 05:13:29,040] Trial 19 finished with values: [59.17276857694263, 14.661212319363415] and parameters: {'x': 3.5618513635291875, 'y': 1.4513466189580366}. \n[I 2023-11-01 05:13:29,041] Trial 20 finished with values: [30.949947090360254, 24.469566753137116] and parameters: {'x': 0.6137021740672799, 'y': 2.713089827878015}. \n[I 2023-11-01 05:13:29,042] Trial 21 finished with values: [63.50675212199463, 9.56037384281969] and parameters: {'x': 2.9134164575158157, 'y': 2.718214961252081}. \n[I 2023-11-01 05:13:29,042] Trial 22 finished with values: [65.86014280579418, 24.12851708337987] and parameters: {'x': 4.053721857116065, 'y': 0.1799300046908031}. \n[I 2023-11-01 05:13:29,043] Trial 23 finished with values: [52.28382622683156, 12.439143503252666] and parameters: {'x': 2.8872970564018026, 'y': 2.17588424894372}. \n[I 2023-11-01 05:13:29,044] Trial 24 finished with values: [48.537430023268726, 12.939254200460937] and parameters: {'x': 2.330204866746702, 'y': 2.5893054637889223}. \n[I 2023-11-01 05:13:29,045] Trial 25 finished with values: [39.42631287041227, 20.51411149469814] and parameters: {'x': 2.996062055989305, 'y': 0.9381846163011874}. \n[I 2023-11-01 05:13:29,045] Trial 26 finished with values: [7.8565987688321695, 33.70559797490104] and parameters: {'x': 1.2984636659798903, 'y': 0.5273915057508098}. \n[I 2023-11-01 05:13:29,046] Trial 27 finished with values: [83.40628303218804, 8.651632930370544] and parameters: {'x': 3.978158578286937, 'y': 2.2418352044807093}. \n[I 2023-11-01 05:13:29,047] Trial 28 finished with values: [61.33234945005918, 10.020219299879386] and parameters: {'x': 2.8989109834771707, 'y': 2.6323758227863703}. \n[I 2023-11-01 05:13:29,048] Trial 29 finished with values: [33.26737067359938, 24.56063665320886] and parameters: {'x': 2.8322392949963615, 'y': 0.5433813065227373}. \n[I 2023-11-01 05:13:29,049] Trial 30 finished with values: [101.25555597411088, 6.469761218055207] and parameters: {'x': 4.341183403969173, 'y': 2.5432293735780784}. \n[I 2023-11-01 05:13:29,049] Trial 31 finished with values: [53.51770062653417, 26.27639296709217] and parameters: {'x': 3.6574071641006114, 'y': 0.052896054853526}. \n[I 2023-11-01 05:13:29,050] Trial 32 finished with values: [19.639681134873328, 23.639278501984897] and parameters: {'x': 1.4619075435504976, 'y': 1.665156634622846}. \n[I 2023-11-01 05:13:29,051] Trial 33 finished with values: [90.20100636581793, 19.785191898248687] and parameters: {'x': 4.715449890266091, 'y': 0.5610560790544893}. \n[I 2023-11-01 05:13:29,052] Trial 34 finished with values: [79.26939060646329, 13.978908590193821] and parameters: {'x': 4.24582897684104, 'y': 1.3380149293011598}. \n[I 2023-11-01 05:13:29,053] Trial 35 finished with values: [77.47513393975598, 16.636586400352627] and parameters: {'x': 4.2896918906238675, 'y': 0.983527817834769}. \n[I 2023-11-01 05:13:29,054] Trial 36 finished with values: [1.8520737788278827, 41.32301869838012] and parameters: {'x': 0.6075331529189698, 'y': 0.30646682171371553}. \n[I 2023-11-01 05:13:29,055] Trial 37 finished with values: [26.809556534692273, 22.08998736661516] and parameters: {'x': 1.1338381544558052, 'y': 2.3274020222499856}. \n[I 2023-11-01 05:13:29,055] Trial 38 finished with values: [49.83772062765459, 16.2460970048215] and parameters: {'x': 3.254348105918166, 'y': 1.3669852092910486}. \n[I 2023-11-01 05:13:29,056] Trial 39 finished with values: [29.854924662352147, 18.8335654643139] and parameters: {'x': 1.965291824314002, 'y': 1.8977247458134119}. \n[I 2023-11-01 05:13:29,057] Trial 40 finished with values: [22.288805064221584, 26.35005335239491] and parameters: {'x': 0.6540969798220719, 'y': 2.268117811543977}. \n[I 2023-11-01 05:13:29,058] Trial 41 finished with values: [50.7696055582819, 15.46529479019017] and parameters: {'x': 3.2389666906590193, 'y': 1.4837439692790113}. \n[I 2023-11-01 05:13:29,059] Trial 42 finished with values: [19.735254173141115, 24.352324597794556] and parameters: {'x': 1.8880147018221571, 'y': 1.1701341927269155}. \n[I 2023-11-01 05:13:29,060] Trial 43 finished with values: [27.870009756919487, 24.198813713961847] and parameters: {'x': 0.7444076929938459, 'y': 2.532461179532956}. \n[I 2023-11-01 05:13:29,061] Trial 44 finished with values: [14.663592765224179, 33.54876119293308] and parameters: {'x': 1.9120583137912002, 'y': 0.09965538604609714}. \n[I 2023-11-01 05:13:29,062] Trial 45 finished with values: [81.64426791436277, 9.490056718975797] and parameters: {'x': 4.0089159042297435, 'y': 2.083185121731746}. \n[I 2023-11-01 05:13:29,063] Trial 46 finished with values: [70.29866744751703, 16.196367710409117] and parameters: {'x': 4.048107092387215, 'y': 1.089722822759799}. \n[I 2023-11-01 05:13:29,064] Trial 47 finished with values: [15.53418016525378, 27.072940551335684] and parameters: {'x': 0.9600683501123958, 'y': 1.7209920988853804}. \n[I 2023-11-01 05:13:29,064] Trial 48 finished with values: [103.00759922506299, 12.864110187208286] and parameters: {'x': 4.873193893026661, 'y': 1.4155850688790852}. \n[I 2023-11-01 05:13:29,065] Trial 49 finished with values: [61.11028588533834, 17.43631862064129] and parameters: {'x': 3.7765560696976, 'y': 1.0075692153717297}. \n[I 2023-11-01 05:13:29,115] A new study created in memory with name: no-name-e5a567c4-b959-4b6c-9976-05b398246dcf\n[I 2023-11-01 05:13:29,117] Trial 0 finished with values: [87.5428147336911, 125.91744301693782, 4.582929785775083] and parameters: {'x': 4.172211556019937, 'y': 0.4107182297551468}. \n[I 2023-11-01 05:13:29,118] Trial 1 finished with values: [79.42932435371318, 117.42671185736037, 4.944649185984213] and parameters: {'x': 3.9032190319388524, 'y': 1.04143015404536}. \n[I 2023-11-01 05:13:29,119] Trial 2 finished with values: [26.427783393297947, 135.19416404801038, 3.650951467021897] and parameters: {'x': 0.9455694654421115, 'y': 2.705382001579786}. \n[I 2023-11-01 05:13:29,119] Trial 3 finished with values: [89.79033821575278, 105.79019727417875, 5.660253770329672] and parameters: {'x': 4.049970380968, 'y': 1.6102833893616717}. \n[I 2023-11-01 05:13:29,120] Trial 4 finished with values: [80.30985015440285, 99.44019984708149, 5.945482670244573] and parameters: {'x': 3.5538915570458802, 'y': 2.391591113198693}. \n[I 2023-11-01 05:13:29,121] Trial 5 finished with values: [35.36530847309604, 127.26889560375241, 4.05347846357872] and parameters: {'x': 2.2748531652741395, 'y': 1.7786252983045814}. \n[I 2023-11-01 05:13:29,122] Trial 6 finished with values: [101.97010511937889, 96.46281100294159, 6.281006205085368] and parameters: {'x': 4.2261862124989245, 'y': 2.0548199925864434}. \n[I 2023-11-01 05:13:29,122] Trial 7 finished with values: [56.43019606079589, 139.4005593465934, 3.595437203122604] and parameters: {'x': 3.35427233790426, 'y': 0.24116486521834402}. \n[I 2023-11-01 05:13:29,123] Trial 8 finished with values: [44.37053080519889, 137.30821741721277, 3.58676477645972] and parameters: {'x': 2.9359829670808195, 'y': 0.6507818093789008}. \n[I 2023-11-01 05:13:29,124] Trial 9 finished with values: [39.369606041893135, 130.38367683988005, 3.907454683427749] and parameters: {'x': 2.6240516874280577, 'y': 1.2834029959996913}. \n[I 2023-11-01 05:13:29,125] Trial 10 finished with values: [43.15287268266744, 127.51150424878333, 4.0921578225727] and parameters: {'x': 2.7467153640262305, 'y': 1.345442458546469}. \n[I 2023-11-01 05:13:29,126] Trial 11 finished with values: [10.64399821791255, 169.0528887654234, 1.654629387062084] and parameters: {'x': 1.4504428113368224, 'y': 0.20418657572526167}. \n[I 2023-11-01 05:13:29,126] Trial 12 finished with values: [1.6248430865429002, 182.38352568164356, 0.9060430572923813] and parameters: {'x': 0.2363076427766858, 'y': 0.6697354145156955}. \n[I 2023-11-01 05:13:29,127] Trial 13 finished with values: [53.053120523233424, 111.35015669295971, 5.079124848182756] and parameters: {'x': 2.669752755723731, 'y': 2.409372092459025}. \n[I 2023-11-01 05:13:29,128] Trial 14 finished with values: [23.938530588613002, 150.48185587463706, 2.7220363922200237] and parameters: {'x': 2.141352310048534, 'y': 0.58068408217149}. \n[I 2023-11-01 05:13:29,129] Trial 15 finished with values: [88.41788124507585, 132.45363175849647, 4.26156130807225] and parameters: {'x': 4.20495585501509, 'y': 0.05660545305716025}. \n[I 2023-11-01 05:13:29,129] Trial 16 finished with values: [24.483983958924917, 137.02893188075163, 3.5270396980973624] and parameters: {'x': 0.9420208147456793, 'y': 2.585018883351683}. \n[I 2023-11-01 05:13:29,130] Trial 17 finished with values: [19.4059003256577, 146.3389513032142, 2.996167207924808] and parameters: {'x': 0.5563335063281183, 'y': 2.4398337015966893}. \n[I 2023-11-01 05:13:29,131] Trial 18 finished with values: [1.18352122207314, 184.5874888536519, 0.7883053538792981] and parameters: {'x': 0.247723059442867, 'y': 0.5405822944364311}. \n[I 2023-11-01 05:13:29,132] Trial 19 finished with values: [63.13563063033653, 119.78030395328501, 4.67390573923662] and parameters: {'x': 3.417628886836913, 'y': 1.256276852399707}. \n[I 2023-11-01 05:13:29,133] Trial 20 finished with values: [32.639187966844645, 125.77328105460262, 4.153237933787361] and parameters: {'x': 1.7500098250860097, 'y': 2.403228108701351}. \n[I 2023-11-01 05:13:29,133] Trial 21 finished with values: [100.08775322791074, 124.89148437723681, 4.7579795794299535] and parameters: {'x': 4.468474310679378, 'y': 0.28950526875057525}. \n[I 2023-11-01 05:13:29,134] Trial 22 finished with values: [127.87517528767862, 97.70903425469903, 6.43961277685366] and parameters: {'x': 4.917891108613629, 'y': 1.5217216682400305}. \n[I 2023-11-01 05:13:29,135] Trial 23 finished with values: [82.31970190648751, 106.59842810740065, 5.552426308633928] and parameters: {'x': 3.8326778540760467, 'y': 1.7197484545578807}. \n[I 2023-11-01 05:13:29,136] Trial 24 finished with values: [27.86129029274595, 130.7165641882484, 3.8483492196118547] and parameters: {'x': 1.5509101442845425, 'y': 2.297439075327312}. \n[I 2023-11-01 05:13:29,137] Trial 25 finished with values: [77.42702124270832, 120.23885783258746, 4.778773857898154] and parameters: {'x': 3.8719514634778647, 'y': 0.9068223944202886}. \n[I 2023-11-01 05:13:29,137] Trial 26 finished with values: [12.180306287754334, 164.10767867553426, 1.9194272284264817] and parameters: {'x': 1.5316064369743765, 'y': 0.38782079145210524}. \n[I 2023-11-01 05:13:29,138] Trial 27 finished with values: [40.15465156181551, 121.73999994505009, 4.398884300261868] and parameters: {'x': 2.345377763917062, 'y': 2.0535065363448055}. \n[I 2023-11-01 05:13:29,139] Trial 28 finished with values: [0.6003399579466738, 189.37281708748725, 0.5408659886777061] and parameters: {'x': 0.12233023915307728, 'y': 0.4185357495246288}. \n[I 2023-11-01 05:13:29,140] Trial 29 finished with values: [94.94958784217911, 91.94533751264734, 6.492385522886837] and parameters: {'x': 3.8451556490620034, 'y': 2.647229873824833}. \n[I 2023-11-01 05:13:29,141] Trial 30 finished with values: [12.23729193682176, 154.02280808692797, 2.48857408661591] and parameters: {'x': 0.6536139835879334, 'y': 1.8349601030279763}. \n[I 2023-11-01 05:13:29,141] Trial 31 finished with values: [25.686984560020917, 157.384874124444, 2.38793050813644] and parameters: {'x': 2.2645674750934774, 'y': 0.12336303304296259}. \n[I 2023-11-01 05:13:29,142] Trial 32 finished with values: [44.298025616403066, 121.35009638941978, 4.441757942008512] and parameters: {'x': 2.6212840295962807, 'y': 1.8204739124122313}. \n[I 2023-11-01 05:13:29,143] Trial 33 finished with values: [41.93213497048119, 131.35320164213806, 3.8763624624489013] and parameters: {'x': 2.7650300447854965, 'y': 1.1113324176634047}. \n[I 2023-11-01 05:13:29,144] Trial 34 finished with values: [63.06168925172126, 104.278640050114, 5.559968055817444] and parameters: {'x': 2.8833735235252327, 'y': 2.676594532292211}. \n[I 2023-11-01 05:13:29,145] Trial 35 finished with values: [128.9946721929507, 80.0088211822448, 7.458207120154161] and parameters: {'x': 4.5538874292721925, 'y': 2.9043196908819686}. \n[I 2023-11-01 05:13:29,145] Trial 36 finished with values: [128.2831496897921, 99.69541391047744, 6.336503995382272] and parameters: {'x': 4.950084253597278, 'y': 1.3864197417849946}. \n[I 2023-11-01 05:13:29,146] Trial 37 finished with values: [10.140685124815025, 156.40138557655033, 2.3183351698520447] and parameters: {'x': 0.9582322797843323, 'y': 1.3601028900677123}. \n[I 2023-11-01 05:13:29,147] Trial 38 finished with values: [137.0611150401623, 85.75483383537352, 7.183702096265728] and parameters: {'x': 4.938344244688601, 'y': 2.245357851577127}. \n[I 2023-11-01 05:13:29,148] Trial 39 finished with values: [81.34319236587976, 99.58533771908364, 5.943757739575421] and parameters: {'x': 3.6028956988860745, 'y': 2.340862040689347}. \n[I 2023-11-01 05:13:29,149] Trial 40 finished with values: [44.63329541290137, 115.48607906116575, 4.80737892301361] and parameters: {'x': 2.2059377652811785, 'y': 2.6014411577324323}. \n[I 2023-11-01 05:13:29,150] Trial 41 finished with values: [133.15269548232047, 89.62413124342999, 6.931255310245234] and parameters: {'x': 4.919602785658435, 'y': 2.0116525245867996}. \n[I 2023-11-01 05:13:29,151] Trial 42 finished with values: [55.42132113606256, 115.47768476042144, 4.847940608667578] and parameters: {'x': 3.009304764787342, 'y': 1.8386358438802355}. \n[I 2023-11-01 05:13:29,151] Trial 43 finished with values: [44.75773276822533, 120.30719077568205, 4.504341209494624] and parameters: {'x': 2.6053491005527296, 'y': 1.898992108941894}. \n[I 2023-11-01 05:13:29,152] Trial 44 finished with values: [93.63052719639168, 100.99824063074466, 5.957325379562757] and parameters: {'x': 4.074081646849525, 'y': 1.883243732713233}. \n[I 2023-11-01 05:13:29,153] Trial 45 finished with values: [73.18499796286048, 105.19430823647332, 5.559959917509302] and parameters: {'x': 3.464424786518128, 'y': 2.0955351309911743}. \n[I 2023-11-01 05:13:29,154] Trial 46 finished with values: [55.557079367706265, 120.11935940210236, 4.591932315519072] and parameters: {'x': 3.1371214696162815, 'y': 1.454810845902791}. \n[I 2023-11-01 05:13:29,155] Trial 47 finished with values: [8.929949288474926, 164.45771453897527, 1.9242857426057944] and parameters: {'x': 0.2232275914861953, 'y': 1.7010581511195992}. \n[I 2023-11-01 05:13:29,156] Trial 48 finished with values: [43.56420282939316, 126.76253990103478, 4.135964780402829] and parameters: {'x': 2.7494268768344283, 'y': 1.3865379035684007}. \n[I 2023-11-01 05:13:29,156] Trial 49 finished with values: [103.81794470433736, 101.47869673077281, 6.01822034408196] and parameters: {'x': 4.375421914918683, 'y': 1.6427984291632762}. \n[I 2023-11-01 05:13:29,171] Trial 50 finished with values: [42.18626544726513, 117.50357667661295, 4.675079266432098] and parameters: {'x': 2.141352310048534, 'y': 2.5337269563835645}. \n[I 2023-11-01 05:13:29,172] Trial 51 finished with values: [50.14484885495544, 131.43174018674225, 3.944170035484599] and parameters: {'x': 3.0983403755601753, 'y': 0.8458296599244239}. \n[I 2023-11-01 05:13:29,173] Trial 52 finished with values: [89.92821070621129, 119.85335128217925, 4.916747489573703] and parameters: {'x': 4.20495585501509, 'y': 0.7117916345586136}. \n[I 2023-11-01 05:13:29,174] Trial 53 finished with values: [103.62746642296395, 89.75810377485547, 6.683719397429751] and parameters: {'x': 4.0822782396973185, 'y': 2.6014411577324323}. \n[I 2023-11-01 05:13:29,175] Trial 54 finished with values: [17.794678326026226, 148.2531086826832, 2.7899925439770943] and parameters: {'x': 1.6786601263136895, 'y': 1.1113324176634047}. \n[I 2023-11-01 05:13:29,176] Trial 55 finished with values: [89.65007553061257, 126.65227926091885, 4.566198965707066] and parameters: {'x': 4.2261862124989245, 'y': 0.34001275320814206}. \n[I 2023-11-01 05:13:29,177] Trial 56 finished with values: [107.61535110817005, 100.98512125843465, 6.0787577000410495] and parameters: {'x': 4.468474310679378, 'y': 1.6102833893616717}. \n[I 2023-11-01 05:13:29,178] Trial 57 finished with values: [86.98693620585829, 96.92810664420041, 6.139565507446971] and parameters: {'x': 3.730193414987945, 'y': 2.409372092459025}. \n[I 2023-11-01 05:13:29,179] Trial 58 finished with values: [70.28636500173856, 117.67113037703712, 4.84912857800639] and parameters: {'x': 3.628033847019885, 'y': 1.221094730986505}. \n[I 2023-11-01 05:13:29,180] Trial 59 finished with values: [87.06713227484677, 131.96042343818704, 4.272852723731886] and parameters: {'x': 4.172211556019937, 'y': 0.10064116771194931}. \n[I 2023-11-01 05:13:29,181] Trial 60 finished with values: [43.38208136209966, 115.99370716942082, 4.786790846446781] and parameters: {'x': 2.0240441036487256, 'y': 2.7627467427980554}. \n[I 2023-11-01 05:13:29,182] Trial 61 finished with values: [23.425175110441703, 149.21974875458247, 2.928775986506387] and parameters: {'x': 0.14030263060810177, 'y': 2.7884733558982853}. \n[I 2023-11-01 05:13:29,183] Trial 62 finished with values: [17.684087093206173, 145.52069266243194, 2.9405062091724616] and parameters: {'x': 1.5316064369743765, 'y': 1.4088997721980854}. \n[I 2023-11-01 05:13:29,184] Trial 63 finished with values: [83.18776056867196, 103.2602474020756, 5.74567878890701] and parameters: {'x': 3.7859140922652035, 'y': 1.9597646966418065}. \n[I 2023-11-01 05:13:29,185] Trial 64 finished with values: [84.35261506472467, 122.09502497170601, 4.747854293653573] and parameters: {'x': 4.074081646849525, 'y': 0.6737726468040485}. \n[I 2023-11-01 05:13:29,187] Trial 65 finished with values: [6.218573723528583, 168.27454519159122, 1.6869082248163614] and parameters: {'x': 0.3003703212479608, 'y': 1.3865379035684007}. \n[I 2023-11-01 05:13:29,188] Trial 66 finished with values: [47.403258969878436, 112.72087495576311, 5.00687013061392] and parameters: {'x': 2.101002887403289, 'y': 2.905867243210631}. \n[I 2023-11-01 05:13:29,189] Trial 67 finished with values: [58.110470405155944, 119.02276825322959, 4.672295783337208] and parameters: {'x': 3.2174849374344165, 'y': 1.454810845902791}. \n[I 2023-11-01 05:13:29,190] Trial 68 finished with values: [58.85215093955819, 135.72159860864429, 3.805449678289018] and parameters: {'x': 3.417628886836913, 'y': 0.38782079145210524}. \n[I 2023-11-01 05:13:29,190] Trial 69 finished with values: [75.43134739525163, 106.96720621884594, 5.476133565076838] and parameters: {'x': 3.6028956988860745, 'y': 1.8732378661907627}. \n[I 2023-11-01 05:13:29,191] Trial 70 finished with values: [19.4059003256577, 146.3389513032142, 2.996167207924808] and parameters: {'x': 0.5563335063281183, 'y': 2.4398337015966893}. \n[I 2023-11-01 05:13:29,193] Trial 71 finished with values: [1.2524358747271898, 187.86453550007184, 0.619631760328682] and parameters: {'x': 0.49036912361547336, 'y': 0.1292626367132086}. \n[I 2023-11-01 05:13:29,194] Trial 72 finished with values: [107.86182230678271, 95.44957402311746, 6.387074439505483] and parameters: {'x': 4.375421914918683, 'y': 2.0116525245867996}. \n[I 2023-11-01 05:13:29,195] Trial 73 finished with values: [124.72530865567732, 109.07729427286469, 5.80811262669433] and parameters: {'x': 4.950084253597278, 'y': 0.8580283730970523}. \n[I 2023-11-01 05:13:29,196] Trial 74 finished with values: [39.369606041893135, 130.38367683988005, 3.907454683427749] and parameters: {'x': 2.6240516874280577, 'y': 1.2834029959996913}. \n[I 2023-11-01 05:13:29,197] Trial 75 finished with values: [78.27562164112712, 101.68678890842091, 5.799249408623007] and parameters: {'x': 3.5538915570458802, 'y': 2.245357851577127}. \n[I 2023-11-01 05:13:29,198] Trial 76 finished with values: [89.79033821575278, 105.79019727417875, 5.660253770329672] and parameters: {'x': 4.049970380968, 'y': 1.6102833893616717}. \n[I 2023-11-01 05:13:29,199] Trial 77 finished with values: [23.160822876780777, 136.21657744716748, 3.507981688540689] and parameters: {'x': 1.4198924647375617, 'y': 2.0880892238031272}. \n[I 2023-11-01 05:13:29,200] Trial 78 finished with values: [49.31345826947032, 111.32500127382198, 5.095585976340498] and parameters: {'x': 2.1912662854585294, 'y': 2.9043196908819686}. \n[I 2023-11-01 05:13:29,201] Trial 79 finished with values: [10.140685124815025, 156.40138557655033, 2.3183351698520447] and parameters: {'x': 0.9582322797843323, 'y': 1.3601028900677123}. \n[I 2023-11-01 05:13:29,202] Trial 80 finished with values: [34.142985973798886, 125.821496827699, 4.2228315799056375] and parameters: {'x': 1.2861960768801162, 'y': 2.9366355030255216}. \n[I 2023-11-01 05:13:29,204] Trial 81 finished with values: [19.412256415764894, 153.23696737873303, 2.661190415079054] and parameters: {'x': 0.12233023915307728, 'y': 2.538860175925977}. \n[I 2023-11-01 05:13:29,205] Trial 82 finished with values: [15.420332884824766, 156.14819070680076, 2.4483260095551858] and parameters: {'x': 0.19519245773257254, 'y': 2.2531335518226134}. \n[I 2023-11-01 05:13:29,206] Trial 83 finished with values: [51.32236413841272, 113.9031185280957, 4.9152511304950295] and parameters: {'x': 2.710898441884519, 'y': 2.2043526886105105}. \n[I 2023-11-01 05:13:29,207] Trial 84 finished with values: [17.809211637905275, 152.82704106001887, 2.653606764229656] and parameters: {'x': 0.2363076427766858, 'y': 2.41729912145297}. \n[I 2023-11-01 05:13:29,208] Trial 85 finished with values: [7.666346778460305, 163.3322651849608, 1.9264910635647712] and parameters: {'x': 1.0198253305570582, 'y': 0.906665733007713}. \n[I 2023-11-01 05:13:29,209] Trial 86 finished with values: [98.12795587012981, 119.64399389088248, 5.0062972692063035] and parameters: {'x': 4.405572496572049, 'y': 0.600724772634255}. \n[I 2023-11-01 05:13:29,210] Trial 87 finished with values: [90.3714136122246, 113.98860497682092, 5.226515002423154] and parameters: {'x': 4.172211556019937, 'y': 1.0543034464032173}. \n[I 2023-11-01 05:13:29,211] Trial 88 finished with values: [85.15898597399226, 96.83780961405844, 6.1327270304785655] and parameters: {'x': 3.6525289391805655, 'y': 2.480198091298}. \n[I 2023-11-01 05:13:29,213] Trial 89 finished with values: [84.4871231417214, 103.34917448938214, 5.751012676788751] and parameters: {'x': 3.8326778540760467, 'y': 1.9183348227127044}. \n[I 2023-11-01 05:13:29,214] Trial 90 finished with values: [130.87064057822545, 92.73247780143728, 6.73836502102586] and parameters: {'x': 4.917891108613629, 'y': 1.8204739124122313}. \n[I 2023-11-01 05:13:29,215] Trial 91 finished with values: [45.32523115062368, 146.41777764868726, 3.1326677978303046] and parameters: {'x': 3.009304764787342, 'y': 0.12336303304296259}. \n[I 2023-11-01 05:13:29,216] Trial 92 finished with values: [23.31488196551195, 143.06143137307663, 3.2264590864907245] and parameters: {'x': 0.5210770849109386, 'y': 2.705382001579786}. \n[I 2023-11-01 05:13:29,217] Trial 93 finished with values: [63.6964900327288, 105.7164580956129, 5.470795216942519] and parameters: {'x': 3.0248473291505977, 'y': 2.445947887791921}. \n[I 2023-11-01 05:13:29,218] Trial 94 finished with values: [63.75532772346428, 103.37412751575198, 5.62156971876052] and parameters: {'x': 2.8582129076205254, 'y': 2.763356811139994}. \n[I 2023-11-01 05:13:29,219] Trial 95 finished with values: [41.61486969459626, 148.19433018272395, 3.006736556568195] and parameters: {'x': 2.8833735235252327, 'y': 0.12336303304296259}. \n[I 2023-11-01 05:13:29,220] Trial 96 finished with values: [68.40703798651494, 104.00176495053626, 5.5994922391873825] and parameters: {'x': 3.196264130486031, 'y': 2.403228108701351}. \n[I 2023-11-01 05:13:29,222] Trial 97 finished with values: [39.49389191710593, 122.50523918086594, 4.350611877721291] and parameters: {'x': 2.3389593531344914, 'y': 2.0116525245867996}. \n[I 2023-11-01 05:13:29,223] Trial 98 finished with values: [95.98339571741141, 102.7613819146363, 5.8796368381121065] and parameters: {'x': 4.178578686992507, 'y': 1.7010581511195992}. \n[I 2023-11-01 05:13:29,224] Trial 99 finished with values: [34.49573261165041, 130.39133164277706, 3.872002399539434] and parameters: {'x': 2.345377763917062, 'y': 1.526624635622372}. \n\u001b[2Kreading sources... [ 86%] reference/visualization/generated/optuna.visualization.plot_pareto_front\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:345: ExperimentalWarning:\n\nThe ``constraints_func`` option is an experimental feature. The interface can change in the future.\n\n[I 2023-11-01 05:13:29,396] A new study created in memory with name: no-name-9f0d2cd8-9c80-489b-a8b7-8b51bf3f85a7\n[I 2023-11-01 05:13:29,397] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:13:29,398] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,399] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,400] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,401] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,402] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,403] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,403] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,404] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,405] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,412] Trial 10 finished with value: 6552.967716339579 and parameters: {'x': 80.95040281764865, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,419] Trial 11 finished with value: 1581.6759383724113 and parameters: {'x': 39.770289644059815, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,426] Trial 12 finished with value: 1028.2507682929152 and parameters: {'x': 32.06634946938792, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,433] Trial 13 finished with value: 9734.833587691272 and parameters: {'x': 98.6652602879619, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,440] Trial 14 finished with value: 332.07882979888785 and parameters: {'x': 18.223030203533327, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,447] Trial 15 finished with value: 565.7705064178704 and parameters: {'x': -23.80694239959996, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,454] Trial 16 finished with value: 213.03950442172223 and parameters: {'x': -14.63008900935747, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,461] Trial 17 finished with value: 641.5871135168867 and parameters: {'x': -25.34930203214453, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,467] Trial 18 finished with value: 1368.8316914198415 and parameters: {'x': -37.01123736677607, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,474] Trial 19 finished with value: 1159.0046483066578 and parameters: {'x': -34.05884097127584, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,481] Trial 20 finished with value: 1280.35318886121 and parameters: {'x': -35.795994033707316, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,488] Trial 21 finished with value: 267.4820201738229 and parameters: {'x': -16.385420964193226, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,494] Trial 22 finished with value: 273.55651795948256 and parameters: {'x': 16.569747069870516, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,501] Trial 23 finished with value: 0.5264659525593145 and parameters: {'x': -1.2355023077919824, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:13:29,508] Trial 24 finished with value: 708.8376961830706 and parameters: {'x': 26.642779438021677, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:13:29,515] Trial 25 finished with value: 746.543499314302 and parameters: {'x': -27.34124172956126, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:13:29,521] Trial 26 finished with value: 2096.0943980014476 and parameters: {'x': -45.79404325893759, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:13:29,528] Trial 27 finished with value: 2693.8946162727752 and parameters: {'x': -51.9123744041127, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:13:29,535] Trial 28 finished with value: 533.2215173103497 and parameters: {'x': -23.113232515387146, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:13:29,542] Trial 29 finished with value: 383.4698273179495 and parameters: {'x': -19.556835820703448, 'y': 1}. Best is trial 23 with value: 0.5264659525593145.\n\u001b[2Kreading sources... [ 86%] reference/visualization/generated/optuna.visualization.plot_rank\n<string>:22: ExperimentalWarning:\n\nplot_rank is experimental (supported from v3.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:13:29,647] A new study created in memory with name: no-name-8941f045-cef7-4b49-9146-b6c8ff681cc7\n[I 2023-11-01 05:13:29,648] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:13:29,649] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,650] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,650] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,651] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,652] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,653] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,654] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,655] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,655] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 87%] reference/visualization/generated/optuna.visualization.plot_slice\n[I 2023-11-01 05:13:29,778] A new study created in memory with name: no-name-0fe16e9b-167d-497a-8fef-a0133855e4d8\n\u001b[2Kreading sources... [ 87%] reference/visualization/generated/optuna.visualization.plot_terminator_improvement\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000053 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.018261 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 514\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.015371 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Info] Start training from score -0.851971\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000054 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:30,052] Trial 0 finished with value: 0.3987301587301587 and parameters: {'reg_alpha': 9.267010624366744e-06, 'reg_lambda': 0.262556546435132, 'num_leaves': 42, 'colsample_bytree': 0.4966620386392309, 'subsample': 0.45826381081528145, 'subsample_freq': 1, 'min_child_samples': 67}. Best is trial 0 with value: 0.3987301587301587.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 510\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 495\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:30,333] Trial 1 finished with value: 0.9717460317460318 and parameters: {'reg_alpha': 6.005896797504266e-08, 'reg_lambda': 0.09799758242464424, 'num_leaves': 222, 'colsample_bytree': 0.8274187187632236, 'subsample': 0.9361429897275525, 'subsample_freq': 4, 'min_child_samples': 30}. Best is trial 0 with value: 0.3987301587301587.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000154 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 512\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.436484\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:30,598] Trial 2 finished with value: 0.39809523809523806 and parameters: {'reg_alpha': 0.0005721672674107266, 'reg_lambda': 0.00013808212004328004, 'num_leaves': 244, 'colsample_bytree': 0.4438736573011642, 'subsample': 0.6215997774679363, 'subsample_freq': 5, 'min_child_samples': 55}. Best is trial 2 with value: 0.39809523809523806.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 494\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.835710\n[LightGBM] [Info] Start training from score -1.497109\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 513\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:30,809] Trial 3 finished with value: 0.9663492063492063 and parameters: {'reg_alpha': 3.8198324344871615e-08, 'reg_lambda': 0.0022933142642223236, 'num_leaves': 55, 'colsample_bytree': 0.7817434870453228, 'subsample': 0.762465170099133, 'subsample_freq': 7, 'min_child_samples': 52}. Best is trial 2 with value: 0.39809523809523806.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.436484\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:30,886] Trial 4 finished with value: 0.3992063492063492 and parameters: {'reg_alpha': 1.8075705134963678, 'reg_lambda': 0.0009208677434815778, 'num_leaves': 160, 'colsample_bytree': 0.4175696511341047, 'subsample': 0.6217747112379834, 'subsample_freq': 1, 'min_child_samples': 98}. Best is trial 2 with value: 0.39809523809523806.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000059 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 510\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Info] Start training from score -0.828693\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 498\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.225175\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000052 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:31,202] Trial 5 finished with value: 0.9660317460317461 and parameters: {'reg_alpha': 6.524759159120152e-07, 'reg_lambda': 2.9595881958092326e-05, 'num_leaves': 250, 'colsample_bytree': 0.838775459278063, 'subsample': 0.9161192183482593, 'subsample_freq': 2, 'min_child_samples': 47}. Best is trial 2 with value: 0.39809523809523806.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 510\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.459319\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000050 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:31,478] Trial 6 finished with value: 0.9722222222222221 and parameters: {'reg_alpha': 0.0011411145222977568, 'reg_lambda': 0.002446006071849783, 'num_leaves': 107, 'colsample_bytree': 0.6818810436132666, 'subsample': 0.7809237569619797, 'subsample_freq': 6, 'min_child_samples': 32}. Best is trial 2 with value: 0.39809523809523806.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:31,600] Trial 7 finished with value: 0.3990476190476191 and parameters: {'reg_alpha': 0.4214318049653588, 'reg_lambda': 7.607942002508106e-08, 'num_leaves': 133, 'colsample_bytree': 0.6357444669692616, 'subsample': 0.7670938804083612, 'subsample_freq': 5, 'min_child_samples': 76}. Best is trial 2 with value: 0.39809523809523806.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 519\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 511\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:31,821] Trial 8 finished with value: 0.3979365079365079 and parameters: {'reg_alpha': 1.4109983840295237e-07, 'reg_lambda': 0.4499193335760083, 'num_leaves': 234, 'colsample_bytree': 0.5997474219361005, 'subsample': 0.5074475050532324, 'subsample_freq': 4, 'min_child_samples': 68}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000052 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.031999 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.028900 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 491\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.835710\n[LightGBM] [Info] Start training from score -1.466337\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:32,335] Trial 9 finished with value: 0.3980952380952381 and parameters: {'reg_alpha': 5.001168561925855, 'reg_lambda': 0.0006580895176680692, 'num_leaves': 12, 'colsample_bytree': 0.711654018130479, 'subsample': 0.596238953624258, 'subsample_freq': 6, 'min_child_samples': 63}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000050 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 515\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000050 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:32,664] Trial 10 finished with value: 0.9774603174603176 and parameters: {'reg_alpha': 1.0932393648755059e-08, 'reg_lambda': 7.0529237576007375, 'num_leaves': 194, 'colsample_bytree': 0.9910477516842628, 'subsample': 0.40691808026703535, 'subsample_freq': 3, 'min_child_samples': 9}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:32,845] Trial 11 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 0.0001321123355594802, 'reg_lambda': 6.386031556476597e-06, 'num_leaves': 245, 'colsample_bytree': 0.5290291743503867, 'subsample': 0.5495991346902422, 'subsample_freq': 4, 'min_child_samples': 85}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000075 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 517\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:33,126] Trial 12 finished with value: 0.9831746031746033 and parameters: {'reg_alpha': 0.0013419344157706127, 'reg_lambda': 0.05968509797240625, 'num_leaves': 191, 'colsample_bytree': 0.40245887236558925, 'subsample': 0.5068332653123055, 'subsample_freq': 5, 'min_child_samples': 40}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:33,454] Trial 13 finished with value: 0.3984126984126984 and parameters: {'reg_alpha': 7.506834152750213e-06, 'reg_lambda': 1.9829571997624094e-05, 'num_leaves': 196, 'colsample_bytree': 0.5946439483406606, 'subsample': 0.6467771518194396, 'subsample_freq': 3, 'min_child_samples': 64}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:33,590] Trial 14 finished with value: 0.39841269841269844 and parameters: {'reg_alpha': 0.027607540257044507, 'reg_lambda': 6.91071397608662, 'num_leaves': 254, 'colsample_bytree': 0.5171617346820438, 'subsample': 0.5264068843099444, 'subsample_freq': 5, 'min_child_samples': 82}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 493\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:33,950] Trial 15 finished with value: 0.9831746031746033 and parameters: {'reg_alpha': 0.00013194016527661695, 'reg_lambda': 0.014553615453968811, 'num_leaves': 154, 'colsample_bytree': 0.5548739854807078, 'subsample': 0.6926985005659125, 'subsample_freq': 3, 'min_child_samples': 17}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.466337\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:34,100] Trial 16 finished with value: 0.3996825396825397 and parameters: {'reg_alpha': 7.404841350680567e-07, 'reg_lambda': 8.37591478754301e-05, 'num_leaves': 222, 'colsample_bytree': 0.4641197678652076, 'subsample': 0.46029253941635695, 'subsample_freq': 6, 'min_child_samples': 100}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 512\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000064 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000054 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 514\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:34,450] Trial 17 finished with value: 0.39936507936507937 and parameters: {'reg_alpha': 0.03913219995702324, 'reg_lambda': 1.8730475293303888e-06, 'num_leaves': 98, 'colsample_bytree': 0.5674775283295275, 'subsample': 0.5659729474774685, 'subsample_freq': 7, 'min_child_samples': 60}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 499\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Info] Start training from score -0.796944\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 512\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:34,718] Trial 18 finished with value: 0.972063492063492 and parameters: {'reg_alpha': 2.0383137726432683e-05, 'reg_lambda': 0.0001658197303654993, 'num_leaves': 217, 'colsample_bytree': 0.4460145188879866, 'subsample': 0.6519326143420896, 'subsample_freq': 4, 'min_child_samples': 46}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.225175\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.835710\n[LightGBM] [Info] Start training from score -1.436484\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:34,895] Trial 19 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 1.210755486317726e-06, 'reg_lambda': 0.3939564486010488, 'num_leaves': 169, 'colsample_bytree': 0.48411355163216113, 'subsample': 0.5613513877827072, 'subsample_freq': 5, 'min_child_samples': 76}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 514\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000051 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:35,180] Trial 20 finished with value: 0.972063492063492 and parameters: {'reg_alpha': 0.004456616575399621, 'reg_lambda': 0.010223820219843454, 'num_leaves': 226, 'colsample_bytree': 0.6070200819553984, 'subsample': 0.49598238052982047, 'subsample_freq': 2, 'min_child_samples': 33}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.835710\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:35,462] Trial 21 finished with value: 0.39825396825396825 and parameters: {'reg_alpha': 9.272605592006094, 'reg_lambda': 0.0003853204978908573, 'num_leaves': 68, 'colsample_bytree': 0.6638570372803919, 'subsample': 0.6033517972043934, 'subsample_freq': 6, 'min_child_samples': 61}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000050 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 475\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 12\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.429467\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 451\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 11\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 516\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 469\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 12\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:35,801] Trial 22 finished with value: 0.39984126984126983 and parameters: {'reg_alpha': 0.1458044208458148, 'reg_lambda': 0.0002635334429774789, 'num_leaves': 4, 'colsample_bytree': 0.6228961322804515, 'subsample': 0.5924616390406938, 'subsample_freq': 6, 'min_child_samples': 69}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 496\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 510\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:36,052] Trial 23 finished with value: 0.9776190476190475 and parameters: {'reg_alpha': 0.0045298901583057626, 'reg_lambda': 0.006852795788446775, 'num_leaves': 29, 'colsample_bytree': 0.6852112500141498, 'subsample': 0.6934455404726255, 'subsample_freq': 5, 'min_child_samples': 51}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000056 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000052 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000050 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.851971\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:36,365] Trial 24 finished with value: 0.3980952380952381 and parameters: {'reg_alpha': 0.0002492691375793901, 'reg_lambda': 0.0007661520730869918, 'num_leaves': 89, 'colsample_bytree': 0.7461820533210299, 'subsample': 0.59785633005127, 'subsample_freq': 7, 'min_child_samples': 56}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:36,497] Trial 25 finished with value: 0.39904761904761904 and parameters: {'reg_alpha': 9.885280122324115, 'reg_lambda': 1.1892790685947796e-06, 'num_leaves': 127, 'colsample_bytree': 0.5607651901807214, 'subsample': 0.540509689692575, 'subsample_freq': 4, 'min_child_samples': 87}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Info] Start training from score -0.835710\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:36,633] Trial 26 finished with value: 0.3980952380952381 and parameters: {'reg_alpha': 0.7591499623456377, 'reg_lambda': 1.1083100692259185, 'num_leaves': 10, 'colsample_bytree': 0.7218453973962333, 'subsample': 0.49050613620812344, 'subsample_freq': 6, 'min_child_samples': 75}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000058 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 499\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000050 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:36,912] Trial 27 finished with value: 0.39936507936507937 and parameters: {'reg_alpha': 5.268747046658926e-05, 'reg_lambda': 0.02578002257343377, 'num_leaves': 181, 'colsample_bytree': 0.44050036269356, 'subsample': 0.41107881055088813, 'subsample_freq': 4, 'min_child_samples': 43}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 369\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 10\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 370\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 9\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 415\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 10\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 382\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 9\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 420\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 10\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:37,164] Trial 28 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 0.04959916728781457, 'reg_lambda': 0.0033717958885041486, 'num_leaves': 74, 'colsample_bytree': 0.5193678712974156, 'subsample': 0.6453349882937712, 'subsample_freq': 5, 'min_child_samples': 70}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.429467\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:37,350] Trial 29 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 5.2681616777847485e-06, 'reg_lambda': 0.0811443138869013, 'num_leaves': 37, 'colsample_bytree': 0.46754583162034374, 'subsample': 0.45915507405019795, 'subsample_freq': 6, 'min_child_samples': 91}. Best is trial 8 with value: 0.3979365079365079.\n<string>:29: ExperimentalWarning:\n\nplot_terminator_improvement is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:129: ExperimentalWarning:\n\nRegretBoundEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:131: ExperimentalWarning:\n\nCrossValidationErrorEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n 0%\| \| 0/30 [00:00<?, ?it/s]\n 3%\|▎ \| 1/30 [00:01<00:31, 1.08s/it]\n 7%\|▋ \| 2/30 [00:02<00:30, 1.09s/it]\n 10%\|█ \| 3/30 [00:03<00:29, 1.09s/it]\n 13%\|█▎ \| 4/30 [00:04<00:28, 1.09s/it]\n 17%\|█▋ \| 5/30 [00:05<00:27, 1.09s/it]\n 20%\|██ \| 6/30 [00:06<00:29, 1.25s/it]\n 23%\|██▎ \| 7/30 [00:08<00:27, 1.20s/it]\n 27%\|██▋ \| 8/30 [00:09<00:26, 1.21s/it]\n 30%\|███ \| 9/30 [00:10<00:25, 1.19s/it]\n 33%\|███▎ \| 10/30 [00:11<00:23, 1.16s/it]\n 37%\|███▋ \| 11/30 [00:12<00:21, 1.14s/it]\n 40%\|████ \| 12/30 [00:13<00:20, 1.13s/it]\n 43%\|████▎ \| 13/30 [00:14<00:19, 1.12s/it]\n 47%\|████▋ \| 14/30 [00:15<00:17, 1.12s/it]\n 50%\|█████ \| 15/30 [00:17<00:16, 1.12s/it]\n 53%\|█████▎ \| 16/30 [00:18<00:15, 1.14s/it]\n 57%\|█████▋ \| 17/30 [00:19<00:14, 1.14s/it]\n 60%\|██████ \| 18/30 [00:20<00:13, 1.14s/it]\n 63%\|██████▎ \| 19/30 [00:21<00:12, 1.14s/it]\n 67%\|██████▋ \| 20/30 [00:22<00:11, 1.13s/it]\n 70%\|███████ \| 21/30 [00:23<00:10, 1.13s/it]\n 73%\|███████▎ \| 22/30 [00:25<00:09, 1.13s/it]\n 77%\|███████▋ \| 23/30 [00:26<00:07, 1.13s/it]\n 80%\|████████ \| 24/30 [00:27<00:07, 1.27s/it]\n 83%\|████████▎ \| 25/30 [00:28<00:06, 1.23s/it]\n 87%\|████████▋ \| 26/30 [00:30<00:04, 1.20s/it]\n 90%\|█████████ \| 27/30 [00:31<00:03, 1.21s/it]\n 93%\|█████████▎\| 28/30 [00:32<00:02, 1.21s/it]\n 97%\|█████████▋\| 29/30 [00:33<00:01, 1.21s/it]\n100%\|██████████\| 30/30 [00:34<00:00, 1.19s/it]\n100%\|██████████\| 30/30 [00:34<00:00, 1.16s/it]\n[I 2023-11-01 05:14:12,326] A new study created in memory with name: no-name-d9ef3f93-97d5-47ce-b0b8-08e5fec82082\n[I 2023-11-01 05:14:12,395] Trial 0 pruned. \n[W 2023-11-01 05:14:12,413] Trial 1 failed with parameters: {'x': 0.8225868695740721} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:14:12,415] Trial 1 failed with value None.\n[I 2023-11-01 05:14:12,422] Trial 2 finished with value: 0.06155311128881662 and parameters: {'x': 0.24809899493713516}. Best is trial 2 with value: 0.06155311128881662.\n[I 2023-11-01 05:14:12,424] Trial 3 finished with value: 0.005369636080254134 and parameters: {'x': 0.07327780073292411}. Best is trial 3 with value: 0.005369636080254134.\n[I 2023-11-01 05:14:12,438] Trial 4 finished with value: 0.021858435926610333 and parameters: {'x': 0.14784598718467246}. Best is trial 3 with value: 0.005369636080254134.\n[I 2023-11-01 05:14:12,487] Trial 5 pruned. \n[I 2023-11-01 05:14:12,509] Trial 7 finished with value: 0.03595212348186679 and parameters: {'x': 0.18961045193202508}. Best is trial 3 with value: 0.005369636080254134.\n[I 2023-11-01 05:14:12,511] Trial 8 finished with value: 2.446768561383124e-07 and parameters: {'x': 0.0004946482145306019}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,518] Trial 6 pruned. \n[I 2023-11-01 05:14:12,530] Trial 10 finished with value: 0.009389865639095555 and parameters: {'x': 0.09690131907820221}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,589] Trial 11 pruned. \n[W 2023-11-01 05:14:12,601] Trial 9 failed with parameters: {'x': 0.887908298101013} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:14:12,603] Trial 9 failed with value None.\n[I 2023-11-01 05:14:12,631] Trial 12 finished with value: 0.11746620911860982 and parameters: {'x': 0.34273343740961404}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,639] Trial 14 finished with value: 0.00011442633347447766 and parameters: {'x': 0.010697024514998443}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,646] Trial 13 finished with value: 0.1363830898213314 and parameters: {'x': 0.3693008121048902}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,651] Trial 15 finished with value: 0.0003008432021390325 and parameters: {'x': 0.01734483214502327}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,654] Trial 16 finished with value: 0.00013237583410829288 and parameters: {'x': 0.011505469747398099}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,659] Trial 17 finished with value: 8.779648725254788e-07 and parameters: {'x': 0.000936997797503003}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,690] Trial 18 finished with value: 0.05966236328605052 and parameters: {'x': 0.24425880390694318}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,697] Trial 19 finished with value: 0.06982972196545881 and parameters: {'x': 0.2642531399349094}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,748] Trial 21 pruned. \n[I 2023-11-01 05:14:12,771] Trial 22 finished with value: 0.020025919922487447 and parameters: {'x': 0.1415129673298085}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,790] Trial 23 finished with value: 0.015569875899131157 and parameters: {'x': 0.12477930877806287}. Best is trial 8 with value: 2.446768561383124e-07.\n[W 2023-11-01 05:14:12,795] Trial 20 failed with parameters: {'x': 0.9639984870203954} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:14:12,797] Trial 20 failed with value None.\n[I 2023-11-01 05:14:12,804] Trial 24 finished with value: 0.001068210162884126 and parameters: {'x': 0.0326834845584758}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,804] Trial 25 finished with value: 1.066087043034236e-05 and parameters: {'x': 0.0032650988392914477}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,828] Trial 27 finished with value: 0.012272595012858723 and parameters: {'x': 0.11078174494409593}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,828] Trial 26 finished with value: 0.012245107190080916 and parameters: {'x': 0.11065761243620303}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,841] Trial 28 finished with value: 7.507749924984484e-07 and parameters: {'x': 0.0008664727303836217}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,860] Trial 29 finished with value: 0.0369054343668351 and parameters: {'x': 0.1921078716940956}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,867] Trial 30 finished with value: 0.035747743375425745 and parameters: {'x': 0.1890707364332877}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,883] Trial 31 finished with value: 0.007265789905065834 and parameters: {'x': 0.08523960291475925}. Best is trial 8 with value: 2.446768561383124e-07.\n[W 2023-11-01 05:14:12,972] Trial 32 failed with parameters: {'x': 0.9717554017884668} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:14:12,974] Trial 32 failed with value None.\n[W 2023-11-01 05:14:12,982] Trial 33 failed with parameters: {'x': 0.9017197185233445} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:14:12,983] Trial 33 failed with value None.\n[I 2023-11-01 05:14:13,023] Trial 35 finished with value: 0.10373012629488804 and parameters: {'x': 0.32207161671728857}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,075] Trial 36 pruned. \n[W 2023-11-01 05:14:13,078] Trial 34 failed with parameters: {'x': 0.9502114067961058} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:14:13,085] Trial 34 failed with value None.\n[I 2023-11-01 05:14:13,086] Trial 37 finished with value: 0.0002008832603054036 and parameters: {'x': 0.014173329189199113}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,104] Trial 39 finished with value: 0.0024542189102818874 and parameters: {'x': 0.04954007378155474}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,111] Trial 38 finished with value: 0.007986706098880164 and parameters: {'x': 0.08936837303476082}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,119] Trial 40 finished with value: 0.0046213311678563185 and parameters: {'x': 0.06798037340186003}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,125] Trial 41 finished with value: 0.003469753941872069 and parameters: {'x': 0.05890461732217661}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,144] Trial 42 finished with value: 0.024573981783423102 and parameters: {'x': 0.15676090642575113}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,150] Trial 43 finished with value: 0.02526823582515922 and parameters: {'x': 0.15895985601767265}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,158] Trial 44 finished with value: 6.15676757814675e-07 and parameters: {'x': 0.0007846507234525914}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,172] Trial 46 finished with value: 0.004410565342955056 and parameters: {'x': 0.06641208732568986}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,184] Trial 45 finished with value: 0.059752659527729485 and parameters: {'x': 0.24444357125465477}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,192] Trial 48 finished with value: 3.525097375814069e-05 and parameters: {'x': 0.005937253048181515}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,202] Trial 47 finished with value: 0.05647159225490874 and parameters: {'x': 0.23763752282606537}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,203] Trial 49 finished with value: 0.001870989629499174 and parameters: {'x': 0.04325493763143318}. Best is trial 8 with value: 2.446768561383124e-07.\n\u001b[2Kreading sources... [ 88%] reference/visualization/generated/optuna.visualization.plot_timeline\n\u001b[2Kreading sources... [ 88%] reference/visualization/index\n\u001b[2Kreading sources... [ 89%] reference/visualization/matplotlib\n\u001b[2Kreading sources... [ 89%] tutorial/10_key_features/001_first\n\u001b[2Kreading sources... [ 90%] tutorial/10_key_features/002_configurations\n\u001b[2Kreading sources... [ 90%] tutorial/10_key_features/003_efficient_optimization_algorithms\n\u001b[2Kreading sources... [ 91%] tutorial/10_key_features/004_distributed\n\u001b[2Kreading sources... [ 91%] tutorial/10_key_features/005_visualization\n\u001b[2Kreading sources... [ 92%] tutorial/10_key_features/index\n\u001b[2Kreading sources... [ 92%] tutorial/10_key_features/sg_execution_times\n\u001b[2Kreading sources... [ 93%] tutorial/20_recipes/001_rdb\n\u001b[2Kreading sources... [ 93%] tutorial/20_recipes/002_multi_objective\n\u001b[2Kreading sources... [ 94%] tutorial/20_recipes/003_attributes\n\u001b[2Kreading sources... [ 94%] tutorial/20_recipes/004_cli\n\u001b[2Kreading sources... [ 95%] tutorial/20_recipes/005_user_defined_sampler\n\u001b[2Kreading sources... [ 95%] tutorial/20_recipes/006_user_defined_pruner\n\u001b[2Kreading sources... [ 96%] tutorial/20_recipes/007_optuna_callback\n\u001b[2Kreading sources... [ 96%] tutorial/20_recipes/008_specify_params\n\u001b[2Kreading sources... [ 97%] tutorial/20_recipes/009_ask_and_tell\n\u001b[2Kreading sources... [ 97%] tutorial/20_recipes/010_reuse_best_trial\n\u001b[2Kreading sources... [ 98%] tutorial/20_recipes/011_journal_storage\n\u001b[2Kreading sources... [ 98%] tutorial/20_recipes/012_artifact_tutorial\n\u001b[2Kreading sources... [ 99%] tutorial/20_recipes/index\n\u001b[2Kreading sources... [ 99%] tutorial/20_recipes/sg_execution_times\n<string>:21: ExperimentalWarning:\n\nplot_timeline is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:docstring of optuna.samplers._tpe.sampler.TPESampler:22: ERROR: Unexpected indentation.\n\u001b[2Kreading sources... [100%] tutorial/index\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:docstring of optuna.samplers._tpe.sampler.TPESampler:20: WARNING: Inline interpreted text or phrase reference start-string without end-string.\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:docstring of optuna.samplers._tpe.sampler.TPESampler:23: WARNING: Block quote ends without a blank line; unexpected unindent.\nlooking for now-outdated files... none found\npickling environment... done\nchecking consistency... done\nrunning tests...\n\nDocument: reference/generated/optuna.logging.disable_propagation\n----------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.Study\n------------------------------------------------\n1 items passed all tests:\n 13 tests in default\n13 tests in 1 items.\n13 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.ThresholdPruner\n------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.HyperbandPruner\n------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.get_all_study_summaries\n------------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.integration.OptunaSearchCV\n---------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.trial.Trial\n------------------------------------------------\n1 items passed all tests:\n 5 tests in default\n5 tests in 1 items.\n5 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.get_all_study_names\n--------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.PatientPruner\n----------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.trial.FixedTrial\n-----------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.integration.PyCmaSampler\n-------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.exceptions.TrialPruned\n-----------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.logging.enable_propagation\n---------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.terminator.Terminator\n----------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.logging.disable_default_handler\n--------------------------------------------------------------------\n<doctest default[0]>:11: ExperimentalWarning:\n\nset_metric_names is experimental (supported from v3.2.0). The interface can change in the future.\n\n<doctest default[0]>:9: ExperimentalWarning:\n\nOptunaSearchCV is experimental (supported from v0.17.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:609: UserWarning:\n\nGot `batch_size` less than 1 or larger than sample size. It is going to be clipped\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:609: UserWarning:\n\nGot `batch_size` less than 1 or larger than sample size. It is going to be clipped\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:609: UserWarning:\n\nGot `batch_size` less than 1 or larger than sample size. It is going to be clipped\n\n<doctest default[0]>:32: ExperimentalWarning:\n\nPatientPruner is experimental (supported from v2.8.0). The interface can change in the future.\n\n<doctest default[0]>:15: ExperimentalWarning:\n\nTerminator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/terminator/terminator.py:111: ExperimentalWarning:\n\nRegretBoundEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/terminator/terminator.py:118: ExperimentalWarning:\n\nCrossValidationErrorEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:14:58,811] Trial 10 finished with value: 8420.862615813568 and parameters: {'x': -91.76525821798558, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,817] Trial 11 finished with value: 1408.0649758469222 and parameters: {'x': 37.5241918746683, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,824] Trial 12 finished with value: 42.70715648944578 and parameters: {'x': -6.535071268888028, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,830] Trial 13 finished with value: 2234.602459385409 and parameters: {'x': 47.27158194291163, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,836] Trial 14 finished with value: 83.63400397683145 and parameters: {'x': -9.090324745399993, 'y': 1}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,843] Trial 15 finished with value: 402.11064922886493 and parameters: {'x': -20.052696806885226, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,849] Trial 16 finished with value: 2508.3886399376997 and parameters: {'x': 50.08381614791049, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,855] Trial 17 finished with value: 4.788410752495368 and parameters: {'x': 2.1882437598438087, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,862] Trial 18 finished with value: 4411.350557719259 and parameters: {'x': 66.4104702416664, 'y': 1}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,868] Trial 19 finished with value: 661.2263849868178 and parameters: {'x': 25.73375963567737, 'y': -1}. Best is trial 6 with value: 0.5958781968809845.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.SuccessiveHalvingPruner\n--------------------------------------------------------------------\n[I 2023-11-01 05:14:58,874] A new study created in memory with name: no-name-917605f4-0019-4231-aa55-8350086eb4d7\n[I 2023-11-01 05:14:59,111] Trial 0 finished with value: 0.7631578947368421 and parameters: {'alpha': 0.26996018741075234}. Best is trial 0 with value: 0.7631578947368421.\n[I 2023-11-01 05:14:59,348] Trial 1 finished with value: 0.8947368421052632 and parameters: {'alpha': 0.007101860509434954}. Best is trial 1 with value: 0.8947368421052632.\n[I 2023-11-01 05:14:59,354] Trial 2 pruned. \n[I 2023-11-01 05:14:59,396] Trial 3 pruned. \n[I 2023-11-01 05:14:59,402] Trial 4 pruned. \n[I 2023-11-01 05:14:59,408] Trial 5 pruned. \n[I 2023-11-01 05:14:59,413] Trial 6 pruned. \n[I 2023-11-01 05:14:59,419] Trial 7 pruned. \n[I 2023-11-01 05:14:59,432] Trial 8 pruned. \n[I 2023-11-01 05:14:59,445] Trial 9 pruned. \n[I 2023-11-01 05:14:59,456] Trial 10 pruned. \n[I 2023-11-01 05:14:59,502] Trial 11 pruned. \n[I 2023-11-01 05:14:59,513] Trial 12 pruned. \n[I 2023-11-01 05:14:59,560] Trial 13 pruned. \n[I 2023-11-01 05:14:59,578] Trial 14 pruned. \n[I 2023-11-01 05:14:59,596] Trial 15 pruned. \n[I 2023-11-01 05:14:59,613] Trial 16 pruned. \n[I 2023-11-01 05:14:59,631] Trial 17 pruned. \n[I 2023-11-01 05:14:59,650] Trial 18 pruned. \n[I 2023-11-01 05:14:59,667] Trial 19 pruned. \n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.storages.RetryFailedTrialCallback\n----------------------------------------------------------------------\n<doctest default[0]>:8: ExperimentalWarning:\n\nRetryFailedTrialCallback is experimental (supported from v2.8.0). The interface can change in the future.\n\n[I 2023-11-01 05:14:59,789] A new study created in RDB with name: no-name-64c10aa6-5606-443f-8d69-91fe03a4b4df\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.create_study\n-------------------------------------------------\n[I 2023-11-01 05:14:59,796] A new study created in memory with name: no-name-6333f825-b596-4167-9c9c-e32f442c7391\n[I 2023-11-01 05:14:59,798] Trial 0 finished with value: 51.167038854924776 and parameters: {'x': 7.15311392715961}. Best is trial 0 with value: 51.167038854924776.\n[I 2023-11-01 05:14:59,798] Trial 1 finished with value: 17.363420428675674 and parameters: {'x': 4.166943775559694}. Best is trial 1 with value: 17.363420428675674.\n[I 2023-11-01 05:14:59,799] Trial 2 finished with value: 0.7732100598980407 and parameters: {'x': 0.8793236377455349}. Best is trial 2 with value: 0.7732100598980407.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.logging.get_verbosity\n----------------------------------------------------------\n[I 2023-11-01 05:14:59,802] A new study created in memory with name: no-name-035aff76-ee29-408b-863e-6daf61f9ea78\n[I 2023-11-01 05:14:59,803] Trial 0 finished with value: 2435.407015348444 and parameters: {'x': 49.33971032898799, 'y': 1}. Best is trial 0 with value: 2435.407015348444.\n[I 2023-11-01 05:14:59,804] Trial 1 finished with value: 202.19536250930184 and parameters: {'x': 14.219541571699907, 'y': 0}. Best is trial 1 with value: 202.19536250930184.\n[I 2023-11-01 05:14:59,805] Trial 2 finished with value: 1639.7330682732425 and parameters: {'x': 40.49361762393232, 'y': 0}. Best is trial 1 with value: 202.19536250930184.\n[I 2023-11-01 05:14:59,806] Trial 3 finished with value: 62.56425568832345 and parameters: {'x': 7.909756993000698, 'y': 0}. Best is trial 3 with value: 62.56425568832345.\n[I 2023-11-01 05:14:59,807] Trial 4 finished with value: 82.73045707361166 and parameters: {'x': 9.040489869117252, 'y': 1}. Best is trial 3 with value: 62.56425568832345.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.trial.create_trial\n-------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.trial.FrozenTrial\n------------------------------------------------------\n[I 2023-11-01 05:14:59,823] A new study created in memory with name: no-name-e3617054-94a0-40a1-ae5f-b3d28c38818a\n[I 2023-11-01 05:14:59,824] Trial 0 finished with value: 0.38410993580286207 and parameters: {'x': 0.6197660331148054}. Best is trial 0 with value: 0.38410993580286207.\n[I 2023-11-01 05:14:59,825] Trial 1 finished with value: 0.21391807624321418 and parameters: {'x': -0.46251278495109105}. Best is trial 1 with value: 0.21391807624321418.\n[I 2023-11-01 05:14:59,825] Trial 2 finished with value: 0.22355716294436873 and parameters: {'x': -0.4728183191717181}. Best is trial 1 with value: 0.21391807624321418.\n[I 2023-11-01 05:14:59,827] A new study created in memory with name: no-name-8a627990-8461-4853-a421-520614373f1f\n[I 2023-11-01 05:14:59,828] Trial 0 finished with value: 0.5673565512608952 and parameters: {'x': 0.7532307423763951}. Best is trial 0 with value: 0.5673565512608952.\n[I 2023-11-01 05:14:59,828] Trial 1 finished with value: 0.06892322719174854 and parameters: {'x': -0.2625323355165008}. Best is trial 1 with value: 0.06892322719174854.\n[I 2023-11-01 05:14:59,829] Trial 2 finished with value: 0.7249401769669949 and parameters: {'x': 0.8514341882770475}. Best is trial 1 with value: 0.06892322719174854.\n1 items passed all tests:\n 2 tests in default\n2 tests in 1 items.\n2 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.storages.RDBStorage\n--------------------------------------------------------\n[I 2023-11-01 05:14:59,953] A new study created in RDB with name: no-name-65c31eaf-6f89-4405-bfb1-ddf7c45ffeed\n[I 2023-11-01 05:15:00,014] Trial 0 finished with value: 8733.71276646968 and parameters: {'x': 93.45433519355686}. Best is trial 0 with value: 8733.71276646968.\n[I 2023-11-01 05:15:00,052] Trial 1 finished with value: 7.844447596898943 and parameters: {'x': 2.800794101125419}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,091] Trial 2 finished with value: 20.576983478913856 and parameters: {'x': 4.536186005766723}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,129] Trial 3 finished with value: 414.5454161241118 and parameters: {'x': -20.3603884079875}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,168] Trial 4 finished with value: 6391.692458270527 and parameters: {'x': -79.94806100382002}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,206] Trial 5 finished with value: 6222.597646022455 and parameters: {'x': -78.88344342143321}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,244] Trial 6 finished with value: 3390.3597225386325 and parameters: {'x': 58.2267955716149}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,284] Trial 7 finished with value: 8425.545975052099 and parameters: {'x': -91.79077282086745}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,322] Trial 8 finished with value: 5147.9123937377 and parameters: {'x': -71.74895395570377}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,360] Trial 9 finished with value: 8215.051648462217 and parameters: {'x': -90.63692210386569}. Best is trial 1 with value: 7.844447596898943.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.MedianPruner\n---------------------------------------------------------\n[I 2023-11-01 05:15:00,383] A new study created in memory with name: no-name-aacc92af-ccf3-4dc1-a713-0d46f9de3d53\n[I 2023-11-01 05:15:00,617] Trial 0 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.8900275218400758}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:00,850] Trial 1 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.5634878036197608}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:01,083] Trial 2 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.4040747466194945}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:01,318] Trial 3 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.4783241251913214}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:01,551] Trial 4 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.8707750616362302}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:01,788] Trial 5 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.9249619146907943}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:02,025] Trial 6 finished with value: 0.8421052631578947 and parameters: {'alpha': 0.08264110962511906}. Best is trial 6 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:02,263] Trial 7 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.7506530969462019}. Best is trial 6 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:02,500] Trial 8 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.5048165389279897}. Best is trial 6 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:02,738] Trial 9 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.9135386471399233}. Best is trial 6 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:02,979] Trial 10 finished with value: 0.9736842105263158 and parameters: {'alpha': 0.0024184174512538043}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:03,221] Trial 11 finished with value: 0.9210526315789473 and parameters: {'alpha': 0.05713140232857587}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:03,462] Trial 12 finished with value: 0.7894736842105263 and parameters: {'alpha': 0.000327318952390283}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:03,703] Trial 13 finished with value: 0.7894736842105263 and parameters: {'alpha': 0.1802915314161863}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:03,946] Trial 14 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.21243134666711316}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:04,188] Trial 15 finished with value: 0.7105263157894737 and parameters: {'alpha': 6.642720023037046e-05}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:04,430] Trial 16 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.27234588757769274}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:04,671] Trial 17 finished with value: 0.8157894736842105 and parameters: {'alpha': 0.11896580534692028}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:04,912] Trial 18 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.3052397579846231}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:05,155] Trial 19 finished with value: 0.8421052631578947 and parameters: {'alpha': 0.0852653270125844}. Best is trial 10 with value: 0.9736842105263158.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.PercentilePruner\n-------------------------------------------------------------\n[I 2023-11-01 05:15:05,163] A new study created in memory with name: no-name-39aaee4a-ecfc-44d1-875e-ff44cf0bc1a3\n[I 2023-11-01 05:15:05,395] Trial 0 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.830037084935752}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:05,628] Trial 1 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.5799656547876723}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:05,859] Trial 2 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.988208794686432}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:06,091] Trial 3 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.1761997812225199}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:06,325] Trial 4 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.703377804903358}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:06,562] Trial 5 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.3692063139708507}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:06,798] Trial 6 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.3237674321734978}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:07,035] Trial 7 finished with value: 0.9473684210526315 and parameters: {'alpha': 0.03763408434219928}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:07,272] Trial 8 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.9211202997722291}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:07,509] Trial 9 finished with value: 0.9473684210526315 and parameters: {'alpha': 0.04449634990906848}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:07,759] Trial 10 finished with value: 0.8157894736842105 and parameters: {'alpha': 0.03362066511037088}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:08,002] Trial 11 finished with value: 0.6842105263157895 and parameters: {'alpha': 0.06587823380026459}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:08,244] Trial 12 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.22932111886049228}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:08,487] Trial 13 finished with value: 0.8947368421052632 and parameters: {'alpha': 0.0005069197211796522}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:08,730] Trial 14 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.17268967895800866}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:08,979] Trial 15 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.39348371767727536}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:09,222] Trial 16 finished with value: 0.631578947368421 and parameters: {'alpha': 0.11659650770539962}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:09,465] Trial 17 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.26115874068921163}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:09,708] Trial 18 finished with value: 0.6578947368421053 and parameters: {'alpha': 0.11460219534083682}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:09,812] Trial 19 pruned. \n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.logging.set_verbosity\n----------------------------------------------------------\n[I 2023-11-01 05:15:09,820] A new study created in memory with name: no-name-d038298a-3dfd-428e-ae71-9eaabf206b08\n[I 2023-11-01 05:15:09,821] Trial 0 finished with value: 64.0 and parameters: {'x': -8}. Best is trial 0 with value: 64.0.\n[I 2023-11-01 05:15:09,822] Trial 1 finished with value: 64.0 and parameters: {'x': 8}. Best is trial 0 with value: 64.0.\n[I 2023-11-01 05:15:09,823] Trial 2 finished with value: 81.0 and parameters: {'x': 9}. Best is trial 0 with value: 64.0.\n[I 2023-11-01 05:15:09,823] Trial 3 finished with value: 16.0 and parameters: {'x': 4}. Best is trial 3 with value: 16.0.\n[I 2023-11-01 05:15:09,824] Trial 4 finished with value: 64.0 and parameters: {'x': 8}. Best is trial 3 with value: 16.0.\n[I 2023-11-01 05:15:09,825] Trial 5 finished with value: 4.0 and parameters: {'x': 2}. Best is trial 5 with value: 4.0.\n[I 2023-11-01 05:15:09,825] Trial 6 finished with value: 64.0 and parameters: {'x': 8}. Best is trial 5 with value: 4.0.\n[I 2023-11-01 05:15:09,826] Trial 7 finished with value: 100.0 and parameters: {'x': -10}. Best is trial 5 with value: 4.0.\n[I 2023-11-01 05:15:09,827] Trial 8 finished with value: 1.0 and parameters: {'x': 1}. Best is trial 8 with value: 1.0.\n[I 2023-11-01 05:15:09,828] Trial 9 finished with value: 36.0 and parameters: {'x': -6}. Best is trial 8 with value: 1.0.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.NopPruner\n------------------------------------------------------\n[I 2023-11-01 05:15:09,894] A new study created in memory with name: no-name-b6ae266a-c58b-483c-9748-452f981139cf\n[I 2023-11-01 05:15:10,129] Trial 0 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.7888446663072128}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:10,363] Trial 1 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.49774357670954805}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:10,596] Trial 2 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.9972282839019428}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:10,828] Trial 3 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.957763734625193}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:11,061] Trial 4 finished with value: 0.8421052631578947 and parameters: {'alpha': 0.19591910311602134}. Best is trial 4 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:11,292] Trial 5 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.44670845664520975}. Best is trial 4 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:11,524] Trial 6 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.34623912680349433}. Best is trial 4 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:11,757] Trial 7 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.6844346936683634}. Best is trial 4 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:11,990] Trial 8 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.6092516696585111}. Best is trial 4 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:12,223] Trial 9 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.6512817998983186}. Best is trial 4 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:12,461] Trial 10 finished with value: 0.9210526315789473 and parameters: {'alpha': 0.06533947725063124}. Best is trial 10 with value: 0.9210526315789473.\n[I 2023-11-01 05:15:12,698] Trial 11 finished with value: 0.9210526315789473 and parameters: {'alpha': 0.055748249352216867}. Best is trial 10 with value: 0.9210526315789473.\n[I 2023-11-01 05:15:12,936] Trial 12 finished with value: 0.9473684210526315 and parameters: {'alpha': 0.01669022760326091}. Best is trial 12 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:13,173] Trial 13 finished with value: 0.9736842105263158 and parameters: {'alpha': 0.04181224179042709}. Best is trial 13 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:13,410] Trial 14 finished with value: 0.9736842105263158 and parameters: {'alpha': 0.022983310565195807}. Best is trial 13 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:13,647] Trial 15 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.24362427501841794}. Best is trial 13 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:13,885] Trial 16 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.1786801934817953}. Best is trial 13 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:14,121] Trial 17 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.32301381348694574}. Best is trial 13 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:14,357] Trial 18 finished with value: 0.7631578947368421 and parameters: {'alpha': 0.13271796490952817}. Best is trial 13 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:14,594] Trial 19 finished with value: 0.9473684210526315 and parameters: {'alpha': 0.008860713463394156}. Best is trial 13 with value: 0.9736842105263158.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.delete_study\n-------------------------------------------------\n[I 2023-11-01 05:15:14,754] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:14,824] Trial 0 finished with value: 13.552624973639903 and parameters: {'x': -1.6813890005865861}. Best is trial 0 with value: 13.552624973639903.\n[I 2023-11-01 05:15:14,875] Trial 1 finished with value: 44.319937086643776 and parameters: {'x': 8.657322065714094}. Best is trial 0 with value: 13.552624973639903.\n[I 2023-11-01 05:15:14,923] Trial 2 finished with value: 6.073637874685441 and parameters: {'x': 4.464475172259895}. Best is trial 2 with value: 6.073637874685441.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.TrialPruned\n------------------------------------------------\n[I 2023-11-01 05:15:15,532] A new study created in memory with name: no-name-de16d520-6432-4031-badf-b005d0dc9334\n[I 2023-11-01 05:15:15,764] Trial 0 finished with value: 0.7368421052631579 and parameters: {'alpha': 0.3667706340718867}. Best is trial 0 with value: 0.7368421052631579.\n[I 2023-11-01 05:15:15,997] Trial 1 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.6023963605102868}. Best is trial 0 with value: 0.7368421052631579.\n[I 2023-11-01 05:15:16,232] Trial 2 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.7440896231562807}. Best is trial 0 with value: 0.7368421052631579.\n[I 2023-11-01 05:15:16,467] Trial 3 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.4488003686129878}. Best is trial 0 with value: 0.7368421052631579.\n[I 2023-11-01 05:15:16,701] Trial 4 finished with value: 0.7894736842105263 and parameters: {'alpha': 0.13316278211560562}. Best is trial 4 with value: 0.7894736842105263.\n[I 2023-11-01 05:15:16,705] Trial 5 pruned. \n[I 2023-11-01 05:15:16,729] Trial 6 pruned. \n[I 2023-11-01 05:15:16,989] Trial 7 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.618210536684779}. Best is trial 4 with value: 0.7894736842105263.\n[I 2023-11-01 05:15:17,003] Trial 8 pruned. \n[I 2023-11-01 05:15:17,006] Trial 9 pruned. \n[I 2023-11-01 05:15:17,271] Trial 10 finished with value: 0.7368421052631579 and parameters: {'alpha': 0.2541894793278965}. Best is trial 4 with value: 0.7894736842105263.\n[I 2023-11-01 05:15:17,291] Trial 11 pruned. \n[I 2023-11-01 05:15:17,300] Trial 12 pruned. \n[I 2023-11-01 05:15:17,309] Trial 13 pruned. \n[I 2023-11-01 05:15:17,574] Trial 14 finished with value: 0.7368421052631579 and parameters: {'alpha': 0.2136223800498176}. Best is trial 4 with value: 0.7894736842105263.\n[I 2023-11-01 05:15:17,593] Trial 15 pruned. \n[I 2023-11-01 05:15:17,613] Trial 16 pruned. \n[I 2023-11-01 05:15:17,632] Trial 17 pruned. \n[I 2023-11-01 05:15:17,641] Trial 18 pruned. \n[I 2023-11-01 05:15:17,906] Trial 19 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.40616669604015154}. Best is trial 4 with value: 0.7894736842105263.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.load_study\n-----------------------------------------------\n[I 2023-11-01 05:15:18,070] A new study created in RDB with name: my_study\n[I 2023-11-01 05:15:18,140] Trial 0 finished with value: 10.43301726991169 and parameters: {'x': 3.2300181531860916}. Best is trial 0 with value: 10.43301726991169.\n[I 2023-11-01 05:15:18,196] Trial 1 finished with value: 28.390259830261034 and parameters: {'x': 5.32825110428}. Best is trial 0 with value: 10.43301726991169.\n[I 2023-11-01 05:15:18,250] Trial 2 finished with value: 84.2840105002338 and parameters: {'x': 9.180632358407225}. Best is trial 0 with value: 10.43301726991169.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n<doctest default[0]>:10: ExperimentalWarning:\n 1 tests in default (cleanup code)\n\nMLflowCallback is experimental (supported from v1.4.0). The interface can change in the future.\n\n[I 2023-11-01 05:15:18,321] A new study created in memory with name: my_study\n[I 2023-11-01 05:15:18,323] Trial 0 finished with value: 18.73553231771368 and parameters: {'x': -2.3284561124855685}. Best is trial 0 with value: 18.73553231771368.\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.integration.MLflowCallback\n---------------------------------------------------------------\n2023/11/01 05:15:18 INFO mlflow.tracking.fluent: Experiment with name 'my_study' does not exist. Creating a new experiment.\n[I 2023-11-01 05:15:18,480] Trial 1 finished with value: 57.026131755409615 and parameters: {'x': 9.55156485474432}. Best is trial 0 with value: 18.73553231771368.\n[I 2023-11-01 05:15:18,496] Trial 2 finished with value: 33.202144231904214 and parameters: {'x': -3.762130181790777}. Best is trial 0 with value: 18.73553231771368.\n[I 2023-11-01 05:15:18,511] Trial 3 finished with value: 23.90531725849781 and parameters: {'x': 6.889306418961468}. Best is trial 0 with value: 18.73553231771368.\n[I 2023-11-01 05:15:18,526] Trial 4 finished with value: 1.4769224668183483 and parameters: {'x': 3.2152869894878116}. Best is trial 4 with value: 1.4769224668183483.\n[I 2023-11-01 05:15:18,541] Trial 5 finished with value: 13.067063648099865 and parameters: {'x': 5.614839366846038}. Best is trial 4 with value: 1.4769224668183483.\n[I 2023-11-01 05:15:18,556] Trial 6 finished with value: 99.74443983009965 and parameters: {'x': -7.987213817181429}. Best is trial 4 with value: 1.4769224668183483.\n[I 2023-11-01 05:15:18,571] Trial 7 finished with value: 5.569085714490087 and parameters: {'x': -0.3598910386901526}. Best is trial 4 with value: 1.4769224668183483.\n[I 2023-11-01 05:15:18,586] Trial 8 finished with value: 1.4981016621204488 and parameters: {'x': 0.7760303671575635}. Best is trial 4 with value: 1.4769224668183483.\n[I 2023-11-01 05:15:18,601] Trial 9 finished with value: 3.387025077127389 and parameters: {'x': 3.8403872084774413}. Best is trial 4 with value: 1.4769224668183483.\n<doctest default[0]>:5: ExperimentalWarning:\n\nMLflowCallback is experimental (supported from v1.4.0). The interface can change in the future.\n\n<doctest default[0]>:11: ExperimentalWarning:\n\ntrack_in_mlflow is experimental (supported from v2.9.0). The interface can change in the future.\n\n[I 2023-11-01 05:15:18,618] A new study created in memory with name: my_other_study\n2023/11/01 05:15:18 INFO mlflow.tracking.fluent: Experiment with name 'my_other_study' does not exist. Creating a new experiment.\n[I 2023-11-01 05:15:18,635] Trial 0 finished with value: 21.922569148157685 and parameters: {'x': 6.682154327674141}. Best is trial 0 with value: 21.922569148157685.\n[I 2023-11-01 05:15:18,660] Trial 1 finished with value: 7.099018375031745 and parameters: {'x': 4.664398313884721}. Best is trial 1 with value: 7.099018375031745.\n[I 2023-11-01 05:15:18,685] Trial 2 finished with value: 4.5304685646287925 and parameters: {'x': 4.128489737966522}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,709] Trial 3 finished with value: 17.173811395481042 and parameters: {'x': -2.1441297512844653}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,734] Trial 4 finished with value: 18.418604713468877 and parameters: {'x': -2.2916901930904654}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,761] Trial 5 finished with value: 8.619242637640271 and parameters: {'x': 4.935854669025746}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,787] Trial 6 finished with value: 8.985324112134336 and parameters: {'x': 4.997553020737804}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,812] Trial 7 finished with value: 72.53608347596963 and parameters: {'x': -6.516811814051642}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,836] Trial 8 finished with value: 23.440844148422773 and parameters: {'x': 6.8415745526040155}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,862] Trial 9 finished with value: 138.1063998853089 and parameters: {'x': -9.751867931750633}. Best is trial 2 with value: 4.5304685646287925.\n1 items passed all tests:\n 2 tests in default\n2 tests in 1 items.\n2 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.get_all_study_names\n--------------------------------------------------------\n[I 2023-11-01 05:15:19,046] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:19,120] Trial 0 finished with value: 1.5297720116310878 and parameters: {'x': 0.7631604745840761}. Best is trial 0 with value: 1.5297720116310878.\n[I 2023-11-01 05:15:19,178] Trial 1 finished with value: 40.2293402927188 and parameters: {'x': 8.342660348207115}. Best is trial 0 with value: 1.5297720116310878.\n[I 2023-11-01 05:15:19,227] Trial 2 finished with value: 1.6298673187357737 and parameters: {'x': 3.2766625704295453}. Best is trial 0 with value: 1.5297720116310878.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.copy_study\n-----------------------------------------------\n[I 2023-11-01 05:15:19,455] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:19,526] Trial 0 finished with value: 0.07393057763188822 and parameters: {'x': 2.2719017793834535}. Best is trial 0 with value: 0.07393057763188822.\n[I 2023-11-01 05:15:19,579] Trial 1 finished with value: 2.788360612876335 and parameters: {'x': 3.6698384990400523}. Best is trial 0 with value: 0.07393057763188822.\n[I 2023-11-01 05:15:19,627] Trial 2 finished with value: 44.67409624394218 and parameters: {'x': -4.683868359261886}. Best is trial 0 with value: 0.07393057763188822.\n[I 2023-11-01 05:15:19,828] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:19,937] Study name was omitted but trying to load 'example-study' because that was the only study found in the storage.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.create_study\n-------------------------------------------------------\n[I 2023-11-01 05:15:19,995] A new study created in memory with name: no-name-3ddb27f5-4336-4257-aabd-b486af1f6709\n[I 2023-11-01 05:15:19,997] Trial 0 finished with value: 8.217642312608634 and parameters: {'x': 2.866643038923513}. Best is trial 0 with value: 8.217642312608634.\n[I 2023-11-01 05:15:19,997] Trial 1 finished with value: 15.097055650868775 and parameters: {'x': 3.8854929739826805}. Best is trial 0 with value: 8.217642312608634.\n[I 2023-11-01 05:15:19,998] Trial 2 finished with value: 39.93648245615986 and parameters: {'x': 6.319531822545073}. Best is trial 0 with value: 8.217642312608634.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.load_study\n-----------------------------------------------------\n[I 2023-11-01 05:15:20,162] A new study created in RDB with name: my_study\n[I 2023-11-01 05:15:20,233] Trial 0 finished with value: 67.51380112033551 and parameters: {'x': 8.21667822908598}. Best is trial 0 with value: 67.51380112033551.\n[I 2023-11-01 05:15:20,291] Trial 1 finished with value: 57.90566065189771 and parameters: {'x': 7.609576903606252}. Best is trial 1 with value: 57.90566065189771.\n[I 2023-11-01 05:15:20,340] Trial 2 finished with value: 9.386942246031872 and parameters: {'x': 3.063811718436998}. Best is trial 2 with value: 9.386942246031872.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.delete_study\n-------------------------------------------------------\n[I 2023-11-01 05:15:20,562] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:20,633] Trial 0 finished with value: 111.95528925950318 and parameters: {'x': -8.580892649465033}. Best is trial 0 with value: 111.95528925950318.\n[I 2023-11-01 05:15:20,684] Trial 1 finished with value: 11.946196278148994 and parameters: {'x': 5.456326992364726}. Best is trial 1 with value: 11.946196278148994.\n[I 2023-11-01 05:15:20,735] Trial 2 finished with value: 99.55676583906153 and parameters: {'x': -7.977813680314016}. Best is trial 1 with value: 11.946196278148994.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.get_all_study_summaries\n------------------------------------------------------------\n[I 2023-11-01 05:15:20,958] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:21,038] Trial 0 finished with value: 4.687195233258842 and parameters: {'x': -0.16499312545302125}. Best is trial 0 with value: 4.687195233258842.\n[I 2023-11-01 05:15:21,092] Trial 1 finished with value: 48.71055027240857 and parameters: {'x': -4.979294396456462}. Best is trial 0 with value: 4.687195233258842.\n[I 2023-11-01 05:15:21,139] Trial 2 finished with value: 62.79169263770763 and parameters: {'x': -5.9241209378522}. Best is trial 0 with value: 4.687195233258842.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.terminator.TerminatorCallback\n------------------------------------------------------------------\n[I 2023-11-01 05:15:21,213] A new study created in memory with name: no-name-7a23e275-23c1-4d0c-af2e-df8d3df04b4c\n<doctest default[0]>:26: ExperimentalWarning:\n\nTerminatorCallback is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/terminator/callback.py:71: ExperimentalWarning:\n\nTerminator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/terminator/terminator.py:111: ExperimentalWarning:\n\nRegretBoundEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/terminator/terminator.py:118: ExperimentalWarning:\n\nCrossValidationErrorEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:15:21,917] Trial 0 finished with value: 0.39936507936507937 and parameters: {'max_depth': 10, 'min_samples_split': 0.8106455221614581, 'criterion': 'entropy'}. Best is trial 0 with value: 0.39936507936507937.\n[I 2023-11-01 05:15:22,620] Trial 1 finished with value: 0.39936507936507937 and parameters: {'max_depth': 19, 'min_samples_split': 0.7282400141475627, 'criterion': 'entropy'}. Best is trial 0 with value: 0.39936507936507937.\n[I 2023-11-01 05:15:23,380] Trial 2 finished with value: 0.9607936507936508 and parameters: {'max_depth': 21, 'min_samples_split': 0.26875937574989217, 'criterion': 'entropy'}. Best is trial 2 with value: 0.9607936507936508.\n[I 2023-11-01 05:15:24,089] Trial 3 finished with value: 0.32571428571428573 and parameters: {'max_depth': 6, 'min_samples_split': 0.9727694741372735, 'criterion': 'entropy'}. Best is trial 2 with value: 0.9607936507936508.\n[I 2023-11-01 05:15:24,802] Trial 4 finished with value: 0.3988888888888889 and parameters: {'max_depth': 15, 'min_samples_split': 0.7732265721868287, 'criterion': 'gini'}. Best is trial 2 with value: 0.9607936507936508.\n[I 2023-11-01 05:15:25,613] Trial 5 finished with value: 0.9719047619047618 and parameters: {'max_depth': 11, 'min_samples_split': 0.05116885754843559, 'criterion': 'gini'}. Best is trial 5 with value: 0.9719047619047618.\n[I 2023-11-01 05:15:26,315] Trial 6 finished with value: 0.3996825396825397 and parameters: {'max_depth': 7, 'min_samples_split': 0.7216211812618147, 'criterion': 'gini'}. Best is trial 5 with value: 0.9719047619047618.\n[I 2023-11-01 05:15:27,042] Trial 7 finished with value: 0.9382539682539683 and parameters: {'max_depth': 32, 'min_samples_split': 0.5043817996487071, 'criterion': 'gini'}. Best is trial 5 with value: 0.9719047619047618.\n[I 2023-11-01 05:15:27,814] Trial 8 finished with value: 0.9607936507936508 and parameters: {'max_depth': 6, 'min_samples_split': 0.2215017961776773, 'criterion': 'entropy'}. Best is trial 5 with value: 0.9719047619047618.\n[I 2023-11-01 05:15:28,573] Trial 9 finished with value: 0.9831746031746033 and parameters: {'max_depth': 7, 'min_samples_split': 0.20617106345267322, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:29,365] Trial 10 finished with value: 0.9774603174603176 and parameters: {'max_depth': 26, 'min_samples_split': 0.029043984899351782, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:30,157] Trial 11 finished with value: 0.9830158730158731 and parameters: {'max_depth': 26, 'min_samples_split': 0.014847021694567426, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:30,935] Trial 12 finished with value: 0.9774603174603176 and parameters: {'max_depth': 26, 'min_samples_split': 0.19232457365054262, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:31,689] Trial 13 finished with value: 0.9665079365079364 and parameters: {'max_depth': 25, 'min_samples_split': 0.3733790544476438, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:32,453] Trial 14 finished with value: 0.9719047619047618 and parameters: {'max_depth': 2, 'min_samples_split': 0.032021328527321584, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:33,239] Trial 15 finished with value: 0.9831746031746033 and parameters: {'max_depth': 31, 'min_samples_split': 0.14291146022807888, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:33,994] Trial 16 finished with value: 0.9774603174603176 and parameters: {'max_depth': 32, 'min_samples_split': 0.3735636149317595, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:34,781] Trial 17 finished with value: 0.9831746031746033 and parameters: {'max_depth': 15, 'min_samples_split': 0.13512238513495, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:35,571] Trial 18 finished with value: 0.9887301587301588 and parameters: {'max_depth': 21, 'min_samples_split': 0.14053030021171198, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:36,331] Trial 19 finished with value: 0.9719047619047618 and parameters: {'max_depth': 21, 'min_samples_split': 0.3092765108502869, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:38,134] Trial 20 finished with value: 0.9715873015873017 and parameters: {'max_depth': 13, 'min_samples_split': 0.49123624218204587, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:39,733] Trial 21 finished with value: 0.9830158730158731 and parameters: {'max_depth': 29, 'min_samples_split': 0.14665846941393723, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:41,459] Trial 22 finished with value: 0.9773015873015873 and parameters: {'max_depth': 22, 'min_samples_split': 0.14752222875645107, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:43,230] Trial 23 finished with value: 0.9774603174603176 and parameters: {'max_depth': 18, 'min_samples_split': 0.1137268126349236, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:44,828] Trial 24 finished with value: 0.9719047619047618 and parameters: {'max_depth': 2, 'min_samples_split': 0.23952405463021115, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:46,253] Trial 25 finished with value: 0.9719047619047618 and parameters: {'max_depth': 29, 'min_samples_split': 0.0961007672212649, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:46,877] The study has been stopped by the terminator.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.copy_study\n-----------------------------------------------------\n[I 2023-11-01 05:15:47,744] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:47,818] Trial 0 finished with value: 84.4430728422261 and parameters: {'x': -7.189291204561215}. Best is trial 0 with value: 84.4430728422261.\n[I 2023-11-01 05:15:47,869] Trial 1 finished with value: 62.53303418739467 and parameters: {'x': -5.907783139881535}. Best is trial 1 with value: 62.53303418739467.\n[I 2023-11-01 05:15:47,922] Trial 2 finished with value: 11.78213833718066 and parameters: {'x': -1.432511957325227}. Best is trial 2 with value: 11.78213833718066.\n[I 2023-11-01 05:15:48,118] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:48,225] Study name was omitted but trying to load 'example-study' because that was the only study found in the storage.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.MaxTrialsCallback\n------------------------------------------------------------\n[I 2023-11-01 05:15:48,272] A new study created in memory with name: no-name-3ae81536-917d-4314-9a45-421c125ff75f\n[I 2023-11-01 05:15:48,273] Trial 0 finished with value: 0.7816072938762856 and parameters: {'x': 0.8840855693179737}. Best is trial 0 with value: 0.7816072938762856.\n[I 2023-11-01 05:15:48,274] Trial 1 finished with value: 0.42612986588170604 and parameters: {'x': -0.6527862329137357}. Best is trial 1 with value: 0.42612986588170604.\n[I 2023-11-01 05:15:48,274] Trial 2 finished with value: 0.4446801754094229 and parameters: {'x': 0.6668434414534066}. Best is trial 1 with value: 0.42612986588170604.\n[I 2023-11-01 05:15:48,275] Trial 3 finished with value: 0.1404258264698638 and parameters: {'x': 0.3747343411936832}. Best is trial 3 with value: 0.1404258264698638.\n[I 2023-11-01 05:15:48,276] Trial 4 finished with value: 0.18323201733007513 and parameters: {'x': 0.4280560913362583}. Best is trial 3 with value: 0.1404258264698638.\n[I 2023-11-01 05:15:48,276] Trial 5 finished with value: 0.574198435394582 and parameters: {'x': -0.7577588240295074}. Best is trial 3 with value: 0.1404258264698638.\n[I 2023-11-01 05:15:48,277] Trial 6 finished with value: 0.71899617668303 and parameters: {'x': 0.8479364225477226}. Best is trial 3 with value: 0.1404258264698638.\n[I 2023-11-01 05:15:48,278] Trial 7 finished with value: 0.16613643700261277 and parameters: {'x': 0.40759837708535196}. Best is trial 3 with value: 0.1404258264698638.\n[I 2023-11-01 05:15:48,279] Trial 8 finished with value: 0.8015686460434348 and parameters: {'x': -0.8953036613593373}. Best is trial 3 with value: 0.1404258264698638.\n[I 2023-11-01 05:15:48,279] Trial 9 finished with value: 0.32581544150802433 and parameters: {'x': -0.5708024540136669}. Best is trial 3 with value: 0.1404258264698638.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDoctest summary\n===============\n 57 tests\n 0 failures in tests\n 0 failures in setup code\n 0 failures in cleanup code\n\nSphinx-Gallery successfully executed 17 out of 17 files subselected by:\n\n gallery_conf[\"filename_pattern\"] = '/\\\\.py'\n gallery_conf[\"ignore_pattern\"] = '__init__\\\\.py'\n\nafter excluding 0 files that had previously been run (based on MD5).\n\nbuild finished with problems, 3 warnings.\nmake: ** [Makefile:24: doctest] Error 1\n##[error]Process completed with exit code 2.\n" }, { "step_name": "documentation/8_Build Document.txt", "log": "##[group]Run cd docs\n\u001b[36;1mcd docs\u001b[0m\n\u001b[36;1mmake html\u001b[0m\n\u001b[36;1mcd ../\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nRunning Sphinx v7.1.2\nmaking output directory... done\nUsing Sphinx-Gallery to convert rst text blocks to markdown for .ipynb files.\n[autosummary] generating autosummary for: faq.rst, index.rst, installation.rst, license_thirdparty.rst, privacy.rst, reference/artifacts.rst, reference/cli.rst, reference/distributions.rst, reference/exceptions.rst, reference/importance.rst, ..., reference/samplers/index.rst, reference/samplers/nsgaii.rst, reference/search_space.rst, reference/storages.rst, reference/study.rst, reference/terminator.rst, reference/trial.rst, reference/visualization/index.rst, reference/visualization/matplotlib.rst, tutorial/index.rst\n[autosummary] generating autosummary for: /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.TrialPruned.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.Backoff.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.Boto3ArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.FileSystemArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.GCSArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.upload_artifact.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.copy_study.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.create_study.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.delete_study.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.CategoricalDistribution.rst, ..., /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_hypervolume_history.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_intermediate_values.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_optimization_history.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_parallel_coordinate.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_param_importances.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_pareto_front.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_rank.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_slice.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_terminator_improvement.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_timeline.rst\nloading intersphinx inventory from https://docs.python.org/3/objects.inv...\nloading intersphinx inventory from https://distributed.dask.org/en/stable/objects.inv...\nloading intersphinx inventory from https://lightgbm.readthedocs.io/en/latest/objects.inv...\nloading intersphinx inventory from https://matplotlib.org/stable/objects.inv...\nloading intersphinx inventory from https://numpy.org/doc/stable/objects.inv...\nloading intersphinx inventory from https://docs.scipy.org/doc/scipy/objects.inv...\nloading intersphinx inventory from https://scikit-learn.org/stable/objects.inv...\nloading intersphinx inventory from https://pytorch.org/docs/stable/objects.inv...\nloading intersphinx inventory from https://pandas.pydata.org/docs/objects.inv...\nloading intersphinx inventory from https://plotly.com/python-api-reference/objects.inv...\ngenerating gallery...\n[I 2023-11-01 05:06:41,473] A new study created in memory with name: no-name-47078d7a-b5b7-4288-a2a2-84c16144b7da\n[I 2023-11-01 05:06:41,475] Trial 0 finished with value: 0.23975049341424567 and parameters: {'x': 1.510356769255159}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,475] Trial 1 finished with value: 3.7484804676688133 and parameters: {'x': 3.936099291789761}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,476] Trial 2 finished with value: 115.70229102466851 and parameters: {'x': -8.756499943042277}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,476] Trial 3 finished with value: 138.11293976002278 and parameters: {'x': -9.752146176763748}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,477] Trial 4 finished with value: 16.39382127009354 and parameters: {'x': 6.048928410097361}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,477] Trial 5 finished with value: 9.216187076408886 and parameters: {'x': -1.0358173654567704}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,478] Trial 6 finished with value: 41.553208343623744 and parameters: {'x': 8.446177808874321}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,479] Trial 7 finished with value: 26.649034792678144 and parameters: {'x': 7.162270313793936}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,479] Trial 8 finished with value: 112.18311916341094 and parameters: {'x': -8.591653278096434}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,480] Trial 9 finished with value: 24.425574250372637 and parameters: {'x': 6.942223613958866}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,486] Trial 10 finished with value: 1.1941588808322545 and parameters: {'x': 0.9072242312202131}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,491] Trial 11 finished with value: 0.9395641357145335 and parameters: {'x': 1.0306888344218181}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,497] Trial 12 finished with value: 5.105917361967821 and parameters: {'x': -0.25962770428400883}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,502] Trial 13 finished with value: 0.06473822314549495 and parameters: {'x': 2.2544370710912522}. Best is trial 13 with value: 0.06473822314549495.\n[I 2023-11-01 05:06:41,507] Trial 14 finished with value: 2.902736524141611 and parameters: {'x': 3.703741918290916}. Best is trial 13 with value: 0.06473822314549495.\n[I 2023-11-01 05:06:41,513] Trial 15 finished with value: 24.560659097208713 and parameters: {'x': -2.955871174395952}. Best is trial 13 with value: 0.06473822314549495.\n[I 2023-11-01 05:06:41,518] Trial 16 finished with value: 2.345746491807175 and parameters: {'x': 3.531583001932045}. Best is trial 13 with value: 0.06473822314549495.\n[I 2023-11-01 05:06:41,523] Trial 17 finished with value: 21.809563327763932 and parameters: {'x': -2.670071019563186}. Best is trial 13 with value: 0.06473822314549495.\n[I 2023-11-01 05:06:41,528] Trial 18 finished with value: 60.87970692054194 and parameters: {'x': 9.802544900257988}. Best is trial 13 with value: 0.06473822314549495.\n[I 2023-11-01 05:06:41,534] Trial 19 finished with value: 0.017593025595601233 and parameters: {'x': 2.1326387032340155}. Best is trial 19 with value: 0.017593025595601233.\n[I 2023-11-01 05:06:41,539] Trial 20 finished with value: 13.75493998226831 and parameters: {'x': 5.708765290803438}. Best is trial 19 with value: 0.017593025595601233.\n[I 2023-11-01 05:06:41,544] Trial 21 finished with value: 0.0324044593574028 and parameters: {'x': 2.180012386677703}. Best is trial 19 with value: 0.017593025595601233.\n[I 2023-11-01 05:06:41,551] Trial 22 finished with value: 0.2799815981104452 and parameters: {'x': 2.529132873775997}. Best is trial 19 with value: 0.017593025595601233.\n[I 2023-11-01 05:06:41,557] Trial 23 finished with value: 6.892457284098662 and parameters: {'x': 4.625348983297013}. Best is trial 19 with value: 0.017593025595601233.\n[I 2023-11-01 05:06:41,562] Trial 24 finished with value: 0.5946731575193415 and parameters: {'x': 2.7711505414115596}. Best is trial 19 with value: 0.017593025595601233.\n[I 2023-11-01 05:06:41,568] Trial 25 finished with value: 0.002383933973042147 and parameters: {'x': 2.0488255463158596}. Best is trial 25 with value: 0.002383933973042147.\n[I 2023-11-01 05:06:41,573] Trial 26 finished with value: 10.321468717987454 and parameters: {'x': 5.212704268678873}. Best is trial 25 with value: 0.002383933973042147.\n[I 2023-11-01 05:06:41,578] Trial 27 finished with value: 8.200925923426908 and parameters: {'x': -0.863725881334823}. Best is trial 25 with value: 0.002383933973042147.\n[I 2023-11-01 05:06:41,584] Trial 28 finished with value: 6.728504036612934 and parameters: {'x': 4.5939360124361075}. Best is trial 25 with value: 0.002383933973042147.\n[I 2023-11-01 05:06:41,589] Trial 29 finished with value: 0.5098867441859787 and parameters: {'x': 1.2859364564788518}. Best is trial 25 with value: 0.002383933973042147.\n[I 2023-11-01 05:06:41,595] Trial 30 finished with value: 0.006562017312186087 and parameters: {'x': 1.9189937205385528}. Best is trial 25 with value: 0.002383933973042147.\n[I 2023-11-01 05:06:41,605] Trial 31 finished with value: 0.0001226659335875051 and parameters: {'x': 2.0110754653892062}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,611] Trial 32 finished with value: 2.439362452888159 and parameters: {'x': 3.5618458479914588}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,616] Trial 33 finished with value: 0.9993855503413831 and parameters: {'x': 1.000307272037361}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,622] Trial 34 finished with value: 0.8696380063458535 and parameters: {'x': 2.9325438361524103}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,627] Trial 35 finished with value: 3.561771532722575 and parameters: {'x': 0.11273437674433984}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,633] Trial 36 finished with value: 5.35576093490798 and parameters: {'x': 4.314251700854507}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,639] Trial 37 finished with value: 0.012106698961882111 and parameters: {'x': 1.8899695543866057}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,645] Trial 38 finished with value: 2.9566702472418362 and parameters: {'x': 0.28050290862652627}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,651] Trial 39 finished with value: 12.527627956065485 and parameters: {'x': -1.5394389323825726}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,656] Trial 40 finished with value: 18.26007204500583 and parameters: {'x': 6.273180553756865}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,663] Trial 41 finished with value: 0.07333451174631345 and parameters: {'x': 2.270803455934952}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,669] Trial 42 finished with value: 0.3370695963098634 and parameters: {'x': 1.4194230487610937}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,674] Trial 43 finished with value: 0.007043420039550861 and parameters: {'x': 1.9160749141224696}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,680] Trial 44 finished with value: 1.0369484497784436 and parameters: {'x': 3.018306658025196}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,685] Trial 45 finished with value: 3.1438828685208584 and parameters: {'x': 0.22690020909119202}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,690] Trial 46 finished with value: 0.04424418399911737 and parameters: {'x': 1.789656984905328}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,696] Trial 47 finished with value: 4.224274304745287 and parameters: {'x': 4.055303944613859}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,701] Trial 48 finished with value: 1.662546666019707 and parameters: {'x': 0.7106022079979712}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,707] Trial 49 finished with value: 0.23836406378318714 and parameters: {'x': 1.511774576877456}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,713] Trial 50 finished with value: 1.996358512990163 and parameters: {'x': 3.4129255157262053}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,718] Trial 51 finished with value: 0.008293367293779946 and parameters: {'x': 2.0910679268116934}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,724] Trial 52 finished with value: 0.054407393508759325 and parameters: {'x': 1.7667460750410418}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,729] Trial 53 finished with value: 1.0789553802698728 and parameters: {'x': 3.0387277700484727}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,735] Trial 54 finished with value: 5.797567883741771 and parameters: {'x': -0.40781392215880574}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,740] Trial 55 finished with value: 1.8227197884896447 and parameters: {'x': 0.649918599309788}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,746] Trial 56 finished with value: 0.20917062459394667 and parameters: {'x': 2.4573517514932535}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,751] Trial 57 finished with value: 3.3520659317685513 and parameters: {'x': 3.830864804339346}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,757] Trial 58 finished with value: 0.5885917521669437 and parameters: {'x': 1.2328026641294016}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,763] Trial 59 finished with value: 0.005647811906675764 and parameters: {'x': 1.9248480744978829}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,770] Trial 60 finished with value: 9.192530791359042 and parameters: {'x': 5.031918665030288}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,776] Trial 61 finished with value: 0.00033652505446660094 and parameters: {'x': 1.9816553807761894}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,781] Trial 62 finished with value: 0.3249458424816528 and parameters: {'x': 2.5700402112848293}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,787] Trial 63 finished with value: 1.665921293464379 and parameters: {'x': 3.2907057346523176}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,793] Trial 64 finished with value: 1.2181518266314968 and parameters: {'x': 0.8963008441466049}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,798] Trial 65 finished with value: 8.332890706068021e-05 and parameters: {'x': 2.0091284668515956}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,804] Trial 66 finished with value: 4.398936757898378 and parameters: {'x': 4.097364240635941}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,810] Trial 67 finished with value: 5.398035885013609 and parameters: {'x': -0.3233673590316295}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,815] Trial 68 finished with value: 0.48908959501817206 and parameters: {'x': 2.699349408391951}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,821] Trial 69 finished with value: 0.04213416579018197 and parameters: {'x': 1.7947339146615253}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,827] Trial 70 finished with value: 1.8630875395317317 and parameters: {'x': 0.6350503527485962}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,832] Trial 71 finished with value: 0.05015684025561348 and parameters: {'x': 2.223957228629963}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,838] Trial 72 finished with value: 2.3512923381591375 and parameters: {'x': 3.5333924279711106}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,844] Trial 73 finished with value: 0.4323570033491952 and parameters: {'x': 1.3424614054299207}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,850] Trial 74 finished with value: 0.003532144931193252 and parameters: {'x': 1.940568148849348}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,856] Trial 75 finished with value: 0.7154786652009347 and parameters: {'x': 2.8458597195758495}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,861] Trial 76 finished with value: 0.611505587237478 and parameters: {'x': 1.218011772954683}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,869] Trial 77 finished with value: 2.38168262539457 and parameters: {'x': 0.45672989227595995}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,875] Trial 78 finished with value: 0.030061302793220664 and parameters: {'x': 1.8266180436342332}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,881] Trial 79 finished with value: 1.4627501631759523 and parameters: {'x': 3.2094420875659786}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,887] Trial 80 finished with value: 5.463382638961274 and parameters: {'x': 4.337387994955325}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,892] Trial 81 finished with value: 0.029204587496343363 and parameters: {'x': 2.1708934975250473}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,898] Trial 82 finished with value: 0.29485386723328566 and parameters: {'x': 2.54300448178011}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,904] Trial 83 finished with value: 0.09787047095274662 and parameters: {'x': 1.6871574342376878}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,910] Trial 84 finished with value: 0.5620977367800069 and parameters: {'x': 1.2502682234425389}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,916] Trial 85 finished with value: 0.0006740077889927713 and parameters: {'x': 2.0259616599814567}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,922] Trial 86 finished with value: 2.600821427774854 and parameters: {'x': 3.6127062434847996}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,929] Trial 87 finished with value: 1.4370112674709399 and parameters: {'x': 0.8012459520523236}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,935] Trial 88 finished with value: 4.65174677004284 and parameters: {'x': -0.15679084986070002}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,941] Trial 89 finished with value: 0.8916358452507899 and parameters: {'x': 2.944264711429369}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,946] Trial 90 finished with value: 0.09380541646974541 and parameters: {'x': 2.306276699194936}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,952] Trial 91 finished with value: 0.0004360128409876972 and parameters: {'x': 1.9791190794985543}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,958] Trial 92 finished with value: 0.08473387966428424 and parameters: {'x': 1.7089091556501919}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,964] Trial 93 finished with value: 2.6861071563263823 and parameters: {'x': 0.36106523731834206}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,972] Trial 94 finished with value: 0.7109306151205141 and parameters: {'x': 1.1568329850376533}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,979] Trial 95 finished with value: 0.40043294906817223 and parameters: {'x': 2.6327977157577074}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,988] Trial 96 finished with value: 1.3766554298460287 and parameters: {'x': 3.173309605281585}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,996] Trial 97 finished with value: 0.012492673829150253 and parameters: {'x': 2.111770630440873}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,004] Trial 98 finished with value: 3.3079530712906715 and parameters: {'x': 0.18122209401733946}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,011] Trial 99 finished with value: 3.167138241057021 and parameters: {'x': 3.779645538037567}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,036] Trial 100 finished with value: 1.147375032679114 and parameters: {'x': 0.9288440670569416}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,042] Trial 101 finished with value: 0.0029999958610137873 and parameters: {'x': 2.0547722179669017}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,047] Trial 102 finished with value: 0.33163969212542177 and parameters: {'x': 1.4241183349633175}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,053] Trial 103 finished with value: 0.013378689296701659 and parameters: {'x': 1.8843337158170037}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,059] Trial 104 finished with value: 0.34512512678763385 and parameters: {'x': 2.5874735115625502}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,065] Trial 105 finished with value: 0.2964154704156261 and parameters: {'x': 1.4555594886347765}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,071] Trial 106 finished with value: 1.5103374989564438 and parameters: {'x': 3.22895789144968}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,077] Trial 107 finished with value: 0.02722973382208911 and parameters: {'x': 2.1650143442919103}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,083] Trial 108 finished with value: 0.684157102713367 and parameters: {'x': 2.8271378982451276}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,089] Trial 109 finished with value: 1.0839080626973558 and parameters: {'x': 0.9588909458191444}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,096] Trial 110 finished with value: 0.0006429348703999686 and parameters: {'x': 1.9746438395966588}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,101] Trial 111 finished with value: 0.1241235682237963 and parameters: {'x': 1.6476882513684843}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,107] Trial 112 finished with value: 0.6585171919462157 and parameters: {'x': 2.811490722033355}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,113] Trial 113 finished with value: 0.08416671556217023 and parameters: {'x': 2.2901150040280065}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,118] Trial 114 finished with value: 1.7288819534599642 and parameters: {'x': 0.6851304424164486}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,124] Trial 115 finished with value: 0.017905109938626044 and parameters: {'x': 1.8661900230228476}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,130] Trial 116 finished with value: 0.16954399870633038 and parameters: {'x': 2.411757208444892}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,135] Trial 117 finished with value: 1.9633232152867248 and parameters: {'x': 3.401186359941719}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,141] Trial 118 finished with value: 0.2388618183357671 and parameters: {'x': 1.5112650837767296}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,147] Trial 119 finished with value: 0.8053163846510186 and parameters: {'x': 1.1026057808014258}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,152] Trial 120 finished with value: 3.2784319413174883 and parameters: {'x': 3.8106440680922047}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,158] Trial 121 finished with value: 0.00010995156327283985 and parameters: {'x': 1.9895142209029162}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,163] Trial 122 finished with value: 0.003592442921365553 and parameters: {'x': 2.059936991260536}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,169] Trial 123 finished with value: 0.008177245467850243 and parameters: {'x': 2.0904281232131368}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,176] Trial 124 finished with value: 0.7954519227012031 and parameters: {'x': 2.8918811146678705}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,182] Trial 125 finished with value: 2.177443318166749 and parameters: {'x': 0.5243837496941324}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,188] Trial 126 finished with value: 0.20111036023234524 and parameters: {'x': 1.5515467022840113}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,194] Trial 127 finished with value: 0.13201715667643105 and parameters: {'x': 2.3633416528233875}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,200] Trial 128 finished with value: 1.3453840114837854 and parameters: {'x': 3.1599068977654134}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,207] Trial 129 finished with value: 0.0069997044013133764 and parameters: {'x': 1.916335763905278}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,213] Trial 130 finished with value: 3.8085842865546 and parameters: {'x': 0.04844055008447157}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,219] Trial 131 finished with value: 0.0035851687887877505 and parameters: {'x': 1.940123720984118}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,225] Trial 132 finished with value: 0.7085052581988266 and parameters: {'x': 1.1582724560768927}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,230] Trial 133 finished with value: 0.4082652593195365 and parameters: {'x': 2.6389563829554694}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,237] Trial 134 finished with value: 0.004100813313142401 and parameters: {'x': 1.935962407031944}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,243] Trial 135 finished with value: 0.23468933520717844 and parameters: {'x': 1.5155525464953103}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,248] Trial 136 finished with value: 0.06163539122948382 and parameters: {'x': 2.2482647603456516}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,254] Trial 137 finished with value: 1.113203460488497 and parameters: {'x': 0.9449154249594505}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,261] Trial 138 finished with value: 0.018229015025298487 and parameters: {'x': 1.864985130354844}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,267] Trial 139 finished with value: 0.3122145435334134 and parameters: {'x': 2.5587616160165383}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,273] Trial 140 finished with value: 2.0040162042466516 and parameters: {'x': 3.4156327928692}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,279] Trial 141 finished with value: 0.3866843327864326 and parameters: {'x': 1.378160524904994}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,286] Trial 142 finished with value: 0.0003880058641666961 and parameters: {'x': 2.019697864457009}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,292] Trial 143 finished with value: 0.0011091906996934802 and parameters: {'x': 2.0333045147043682}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,298] Trial 144 finished with value: 0.7372169392725111 and parameters: {'x': 2.858613381722246}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,304] Trial 145 finished with value: 0.1611319574085882 and parameters: {'x': 2.4014124529814542}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,312] Trial 146 finished with value: 2.090796762119676 and parameters: {'x': 0.5540412308368969}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,319] Trial 147 finished with value: 0.000767168161718416 and parameters: {'x': 2.0276978006657282}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,324] Trial 148 finished with value: 1.0396918271278044 and parameters: {'x': 3.019652797342215}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,331] Trial 149 finished with value: 0.6520570045635777 and parameters: {'x': 1.1924995327781056}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,336] Trial 150 finished with value: 0.27449429046717777 and parameters: {'x': 1.4760779729127838}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,343] Trial 151 finished with value: 0.008982086695869557 and parameters: {'x': 2.0947738713774506}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,349] Trial 152 finished with value: 0.0296026986135257 and parameters: {'x': 1.8279456521516364}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,355] Trial 153 finished with value: 0.2561782234784892 and parameters: {'x': 2.5061405175230385}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,361] Trial 154 finished with value: 0.02123621313112632 and parameters: {'x': 2.1457265011284026}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,368] Trial 155 finished with value: 1.1688640014086218 and parameters: {'x': 0.9188598604211284}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,373] Trial 156 finished with value: 0.1781217056794595 and parameters: {'x': 1.577955327388842}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,379] Trial 157 finished with value: 0.530142454988342 and parameters: {'x': 2.7281088208422846}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,385] Trial 158 finished with value: 0.02543129710359975 and parameters: {'x': 1.8405280679755847}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,391] Trial 159 finished with value: 1.462201284443736 and parameters: {'x': 3.20921515225527}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,397] Trial 160 finished with value: 4.531134621457266 and parameters: {'x': 4.128646194523004}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,404] Trial 161 finished with value: 0.006742135222266989 and parameters: {'x': 2.0821105061625307}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,410] Trial 162 finished with value: 0.15096310580645061 and parameters: {'x': 2.3885397094332195}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,417] Trial 163 finished with value: 0.17287921085535402 and parameters: {'x': 1.5842125412481107}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,424] Trial 164 finished with value: 0.835178419957206 and parameters: {'x': 1.0861190340327653}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,430] Trial 165 finished with value: 0.0024984887770512524 and parameters: {'x': 1.9500151145139728}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,436] Trial 166 finished with value: 0.6168021920915975 and parameters: {'x': 2.7853675522273615}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,443] Trial 167 finished with value: 0.00019256384984347587 and parameters: {'x': 1.98612326227662}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,450] Trial 168 finished with value: 2.7729914231478614 and parameters: {'x': 3.6652301411960635}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,456] Trial 169 finished with value: 1.9632378190303894 and parameters: {'x': 0.5988441132299414}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,462] Trial 170 finished with value: 0.6078557213922307 and parameters: {'x': 1.2203489746096459}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,468] Trial 171 finished with value: 7.136924761680954e-05 and parameters: {'x': 1.991551967825771}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,474] Trial 172 finished with value: 0.1262287478879417 and parameters: {'x': 2.355286852962422}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,480] Trial 173 finished with value: 0.06220753248306104 and parameters: {'x': 1.7505856209376431}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,486] Trial 174 finished with value: 0.35389046747153946 and parameters: {'x': 2.5948869367128005}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,493] Trial 175 finished with value: 0.010894254343969081 and parameters: {'x': 2.104375544760107}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,499] Trial 176 finished with value: 0.12555264329712928 and parameters: {'x': 1.6456659156994218}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,505] Trial 177 finished with value: 0.808503649170515 and parameters: {'x': 2.8991683097009786}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,511] Trial 178 finished with value: 0.5074496744122211 and parameters: {'x': 1.2876449800750884}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,517] Trial 179 finished with value: 0.13185326341628537 and parameters: {'x': 2.3631160467623062}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,525] Trial 180 finished with value: 0.0008602978069306027 and parameters: {'x': 2.0293308337237557}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,532] Trial 181 finished with value: 0.02881591034883235 and parameters: {'x': 1.8302475026727667}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,538] Trial 182 finished with value: 0.00014344963187906898 and parameters: {'x': 2.0119770460414523}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,545] Trial 183 finished with value: 0.25462973517838006 and parameters: {'x': 1.4953915030656142}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,551] Trial 184 finished with value: 1.4285639588632086 and parameters: {'x': 3.19522548452717}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,557] Trial 185 finished with value: 1.2909277310149958 and parameters: {'x': 0.863809993436399}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,563] Trial 186 finished with value: 0.09714417904368056 and parameters: {'x': 2.311679609605249}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,569] Trial 187 finished with value: 0.4122196699535677 and parameters: {'x': 2.642043355197737}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,575] Trial 188 finished with value: 0.3377519380841017 and parameters: {'x': 1.418835704740818}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,582] Trial 189 finished with value: 0.015068890702860905 and parameters: {'x': 1.877244589924269}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,588] Trial 190 finished with value: 0.013653450432188564 and parameters: {'x': 2.116847980009021}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,595] Trial 191 finished with value: 0.004837081780276263 and parameters: {'x': 2.069549132131726}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,601] Trial 192 finished with value: 0.2849913986057789 and parameters: {'x': 2.5338458565969946}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,607] Trial 193 finished with value: 0.13512488946055787 and parameters: {'x': 1.6324066248413094}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,613] Trial 194 finished with value: 1.0456551821027924 and parameters: {'x': 3.0225728248407506}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,619] Trial 195 finished with value: 0.5424972617254287 and parameters: {'x': 1.2634558657314359}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,625] Trial 196 finished with value: 3.142017029638187e-05 and parameters: {'x': 2.0056053697733853}. Best is trial 196 with value: 3.142017029638187e-05.\n[I 2023-11-01 05:06:42,631] Trial 197 finished with value: 1.3878919507113319 and parameters: {'x': 0.8219117389977388}. Best is trial 196 with value: 3.142017029638187e-05.\n[I 2023-11-01 05:06:42,639] Trial 198 finished with value: 0.1435450337259533 and parameters: {'x': 2.378873374263689}. Best is trial 196 with value: 3.142017029638187e-05.\n[I 2023-11-01 05:06:42,646] Trial 199 finished with value: 0.022491404076881015 and parameters: {'x': 1.850028655814249}. Best is trial 196 with value: 3.142017029638187e-05.\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 20%] 001_first.py\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 40%] 002_configurations.py\n[I 2023-11-01 05:06:43,110] A new study created in memory with name: no-name-5a7a1f66-6db9-48bf-8aba-bb4e6de483fd\n[I 2023-11-01 05:06:43,111] A new study created in memory with name: no-name-56a10e9c-81dc-4e71-bd05-451f66cba86f\n[I 2023-11-01 05:06:43,111] A new study created in memory with name: no-name-a835b13d-19ff-449b-bbe7-fdf932fd98fb\n[I 2023-11-01 05:06:43,151] A new study created in memory with name: no-name-35c1346d-2288-455f-83c9-0fed7a6d8803\n[I 2023-11-01 05:06:43,446] Trial 0 finished with value: 0.10526315789473684 and parameters: {'alpha': 0.0002508244777647596}. Best is trial 0 with value: 0.10526315789473684.\n[I 2023-11-01 05:06:43,736] Trial 1 finished with value: 0.39473684210526316 and parameters: {'alpha': 6.808288145579959e-05}. Best is trial 0 with value: 0.10526315789473684.\n[I 2023-11-01 05:06:44,007] Trial 2 finished with value: 0.07894736842105265 and parameters: {'alpha': 9.451932113931475e-05}. Best is trial 2 with value: 0.07894736842105265.\n[I 2023-11-01 05:06:44,287] Trial 3 finished with value: 0.23684210526315785 and parameters: {'alpha': 0.0008329987469189677}. Best is trial 2 with value: 0.07894736842105265.\n[I 2023-11-01 05:06:44,589] Trial 4 finished with value: 0.02631578947368418 and parameters: {'alpha': 0.0017303377445966413}. Best is trial 4 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:44,595] Trial 5 pruned. \n[I 2023-11-01 05:06:44,886] Trial 6 pruned. \n[I 2023-11-01 05:06:45,217] Trial 7 finished with value: 0.07894736842105265 and parameters: {'alpha': 0.005451751842732417}. Best is trial 4 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:45,223] Trial 8 pruned. \n[I 2023-11-01 05:06:45,228] Trial 9 pruned. \n[I 2023-11-01 05:06:45,239] Trial 10 pruned. \n[I 2023-11-01 05:06:45,249] Trial 11 pruned. \n[I 2023-11-01 05:06:45,556] Trial 12 finished with value: 0.02631578947368418 and parameters: {'alpha': 0.0019086282486871589}. Best is trial 4 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:45,567] Trial 13 pruned. \n[I 2023-11-01 05:06:45,578] Trial 14 pruned. \n[I 2023-11-01 05:06:45,588] Trial 15 pruned. \n[I 2023-11-01 05:06:45,899] Trial 16 finished with value: 0.02631578947368418 and parameters: {'alpha': 0.019009170714693373}. Best is trial 4 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:45,911] Trial 17 pruned. \n[I 2023-11-01 05:06:45,922] Trial 18 pruned. \n[I 2023-11-01 05:06:45,932] Trial 19 pruned. \n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 60%] 003_efficient_optimization_algorithms.py\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 80%] 004_distributed.py\n[I 2023-11-01 05:06:46,376] A new study created in memory with name: no-name-3b6e5676-ab2f-4925-849c-e1345847d3e1\n[I 2023-11-01 05:06:46,418] Trial 0 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.6247240713084175, 'bagging_freq': 7, 'min_child_samples': 75}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:06:46,522] Trial 1 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.759195090518222, 'bagging_freq': 2, 'min_child_samples': 19}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:06:46,556] Trial 2 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.4348501673009197, 'bagging_freq': 7, 'min_child_samples': 62}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:06:46,595] Trial 3 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.8248435466776274, 'bagging_freq': 1, 'min_child_samples': 98}. Best is trial 3 with value: 0.9790209790209791.\n[I 2023-11-01 05:06:46,702] Trial 4 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.899465584480253, 'bagging_freq': 2, 'min_child_samples': 22}. Best is trial 3 with value: 0.9790209790209791.\n[I 2023-11-01 05:06:46,772] Trial 5 finished with value: 0.993006993006993 and parameters: {'bagging_fraction': 0.5100427059120604, 'bagging_freq': 3, 'min_child_samples': 55}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:46,787] Trial 6 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:46,809] Trial 7 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:46,830] Trial 8 pruned. Trial was pruned at iteration 14.\n[I 2023-11-01 05:06:46,867] Trial 9 pruned. Trial was pruned at iteration 18.\n[I 2023-11-01 05:06:46,915] Trial 10 pruned. Trial was pruned at iteration 28.\n[I 2023-11-01 05:06:46,948] Trial 11 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,035] Trial 12 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.9733907188988407, 'bagging_freq': 1, 'min_child_samples': 98}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:47,072] Trial 13 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,114] Trial 14 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,149] Trial 15 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,183] Trial 16 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,221] Trial 17 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,333] Trial 18 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.9905077333938093, 'bagging_freq': 2, 'min_child_samples': 54}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:47,366] Trial 19 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,398] Trial 20 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,483] Trial 21 pruned. Trial was pruned at iteration 70.\n[I 2023-11-01 05:06:47,519] Trial 22 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,555] Trial 23 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,592] Trial 24 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,783] Trial 25 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.9539760625736883, 'bagging_freq': 1, 'min_child_samples': 5}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:47,818] Trial 26 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,856] Trial 27 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,892] Trial 28 pruned. Trial was pruned at iteration 11.\n[I 2023-11-01 05:06:47,929] Trial 29 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,964] Trial 30 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,998] Trial 31 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,040] Trial 32 pruned. Trial was pruned at iteration 18.\n[I 2023-11-01 05:06:48,079] Trial 33 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,115] Trial 34 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,152] Trial 35 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,188] Trial 36 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,224] Trial 37 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,269] Trial 38 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,305] Trial 39 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,350] Trial 40 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,393] Trial 41 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,434] Trial 42 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,495] Trial 43 pruned. Trial was pruned at iteration 18.\n[I 2023-11-01 05:06:48,605] Trial 44 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.8823409487656904, 'bagging_freq': 1, 'min_child_samples': 48}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:48,643] Trial 45 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,683] Trial 46 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,723] Trial 47 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,762] Trial 48 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,802] Trial 49 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,839] Trial 50 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,877] Trial 51 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,918] Trial 52 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,962] Trial 53 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,005] Trial 54 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,136] Trial 55 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.973380947872035, 'bagging_freq': 2, 'min_child_samples': 39}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:49,179] Trial 56 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,221] Trial 57 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,262] Trial 58 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,300] Trial 59 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,341] Trial 60 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,388] Trial 61 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,432] Trial 62 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,469] Trial 63 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,508] Trial 64 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,550] Trial 65 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,592] Trial 66 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,632] Trial 67 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,676] Trial 68 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,721] Trial 69 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,767] Trial 70 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,806] Trial 71 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,845] Trial 72 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,891] Trial 73 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,936] Trial 74 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,994] Trial 75 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,053] Trial 76 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,101] Trial 77 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,144] Trial 78 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,189] Trial 79 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,229] Trial 80 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,278] Trial 81 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,437] Trial 82 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.8183457327801615, 'bagging_freq': 3, 'min_child_samples': 22}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:50,482] Trial 83 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,524] Trial 84 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,569] Trial 85 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,614] Trial 86 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,653] Trial 87 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,702] Trial 88 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,747] Trial 89 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,787] Trial 90 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,837] Trial 91 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,878] Trial 92 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,927] Trial 93 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,977] Trial 94 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:51,020] Trial 95 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:51,068] Trial 96 pruned. Trial was pruned at iteration 21.\n[I 2023-11-01 05:06:51,112] Trial 97 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:51,154] Trial 98 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:51,196] Trial 99 pruned. Trial was pruned at iteration 10.\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [100%] 005_visualization.py\n[I 2023-11-01 05:06:52,943] A new study created in RDB with name: example-study\n[I 2023-11-01 05:06:53,027] Trial 0 finished with value: 23.447286219971122 and parameters: {'x': 6.84223979372884}. Best is trial 0 with value: 23.447286219971122.\n[I 2023-11-01 05:06:53,081] Trial 1 finished with value: 13.57184822275515 and parameters: {'x': 5.683998944456302}. Best is trial 1 with value: 13.57184822275515.\n[I 2023-11-01 05:06:53,130] Trial 2 finished with value: 16.821003496459884 and parameters: {'x': 6.101341670290331}. Best is trial 1 with value: 13.57184822275515.\n[I 2023-11-01 05:06:53,174] Using an existing study with name 'example-study' instead of creating a new one.\n[I 2023-11-01 05:06:53,254] Trial 3 finished with value: 112.4283696077913 and parameters: {'x': -8.603224491058901}. Best is trial 1 with value: 13.57184822275515.\n[I 2023-11-01 05:06:53,306] Trial 4 finished with value: 49.10820865830056 and parameters: {'x': -5.007724927414072}. Best is trial 1 with value: 13.57184822275515.\n[I 2023-11-01 05:06:53,359] Trial 5 finished with value: 7.011359018822607 and parameters: {'x': -0.6478970936995658}. Best is trial 5 with value: 7.011359018822607.\n[I 2023-11-01 05:06:53,403] Using an existing study with name 'example-study' instead of creating a new one.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 8%] 001_rdb.py\n[I 2023-11-01 05:06:54,332] A new study created in memory with name: no-name-7af9d90c-9ef8-454d-a434-07a03322de31\n[I 2023-11-01 05:07:06,898] Trial 0 finished with values: [76224.0, 0.59375] and parameters: {'n_layers': 1, 'n_units_l0': 96, 'dropout_0': 0.25733888703721564, 'lr': 3.0223642095031352e-05}. \n[I 2023-11-01 05:07:13,953] Trial 1 finished with values: [31247.0, 0.6890625] and parameters: {'n_layers': 2, 'n_units_l0': 33, 'dropout_0': 0.4341398614103612, 'n_units_l1': 125, 'dropout_1': 0.2791360160838666, 'lr': 0.00038268617271110646}. \n[I 2023-11-01 05:07:21,118] Trial 2 finished with values: [28328.0, 0.76484375] and parameters: {'n_layers': 3, 'n_units_l0': 28, 'dropout_0': 0.2746430908497238, 'n_units_l1': 118, 'dropout_1': 0.21243633975837345, 'n_units_l2': 24, 'dropout_2': 0.3770560956304744, 'lr': 0.003101371079304843}. \n[I 2023-11-01 05:07:28,315] Trial 3 finished with values: [44998.0, 0.57109375] and parameters: {'n_layers': 2, 'n_units_l0': 48, 'dropout_0': 0.38551658167368974, 'n_units_l1': 127, 'dropout_1': 0.4732874091078886, 'lr': 0.04035652026579389}. \n[I 2023-11-01 05:07:35,668] Trial 4 finished with values: [114930.0, 0.51328125] and parameters: {'n_layers': 3, 'n_units_l0': 120, 'dropout_0': 0.31461615456914355, 'n_units_l1': 95, 'dropout_1': 0.33383923913591085, 'n_units_l2': 90, 'dropout_2': 0.22508476546280012, 'lr': 0.036468518813819815}. \n[I 2023-11-01 05:07:42,692] Trial 5 finished with values: [101632.0, 0.83984375] and parameters: {'n_layers': 1, 'n_units_l0': 128, 'dropout_0': 0.3809787835038041, 'lr': 0.002463326857184871}. \n[I 2023-11-01 05:07:49,706] Trial 6 finished with values: [92898.0, 0.84609375] and parameters: {'n_layers': 1, 'n_units_l0': 117, 'dropout_0': 0.4486066510124712, 'lr': 0.0047467805649411}. \n[I 2023-11-01 05:07:56,652] Trial 7 finished with values: [29690.0, 0.53828125] and parameters: {'n_layers': 2, 'n_units_l0': 35, 'dropout_0': 0.3049976320521924, 'n_units_l1': 50, 'dropout_1': 0.42755196744832497, 'lr': 4.6294508353433405e-05}. \n[I 2023-11-01 05:08:03,836] Trial 8 finished with values: [100520.0, 0.8078125] and parameters: {'n_layers': 2, 'n_units_l0': 110, 'dropout_0': 0.25317680504721596, 'n_units_l1': 119, 'dropout_1': 0.2505667973902929, 'lr': 0.014046586297212263}. \n[I 2023-11-01 05:08:11,104] Trial 9 finished with values: [77517.0, 0.66640625] and parameters: {'n_layers': 3, 'n_units_l0': 78, 'dropout_0': 0.33076301829541666, 'n_units_l1': 125, 'dropout_1': 0.2551346282217414, 'n_units_l2': 49, 'dropout_2': 0.4937211686179993, 'lr': 0.0002604548809903621}. \n[I 2023-11-01 05:08:18,102] Trial 10 finished with values: [99250.0, 0.4328125] and parameters: {'n_layers': 1, 'n_units_l0': 125, 'dropout_0': 0.22387383346762751, 'lr': 1.0202300736918095e-05}. \n[I 2023-11-01 05:08:25,125] Trial 11 finished with values: [69663.0, 0.690625] and parameters: {'n_layers': 2, 'n_units_l0': 87, 'dropout_0': 0.40751903335681317, 'n_units_l1': 15, 'dropout_1': 0.3263429757477647, 'lr': 0.0003051207906300801}. \n[I 2023-11-01 05:08:32,102] Trial 12 finished with values: [45258.0, 0.7890625] and parameters: {'n_layers': 1, 'n_units_l0': 57, 'dropout_0': 0.2680849571908931, 'lr': 0.00048034288341022434}. \n[I 2023-11-01 05:08:39,258] Trial 13 finished with values: [69055.0, 0.78046875] and parameters: {'n_layers': 3, 'n_units_l0': 75, 'dropout_0': 0.2561276392583786, 'n_units_l1': 61, 'dropout_1': 0.4926511192889931, 'n_units_l2': 80, 'dropout_2': 0.3483740360394225, 'lr': 0.008237576352938565}. \n[I 2023-11-01 05:08:46,099] Trial 14 finished with values: [37318.0, 0.83125] and parameters: {'n_layers': 1, 'n_units_l0': 47, 'dropout_0': 0.4828360517551172, 'lr': 0.009431169942545113}. \n[I 2023-11-01 05:08:53,323] Trial 15 finished with values: [80123.0, 0.31484375] and parameters: {'n_layers': 2, 'n_units_l0': 99, 'dropout_0': 0.31868835747805624, 'n_units_l1': 23, 'dropout_1': 0.39580020035927377, 'lr': 0.07139558495620445}. \n[I 2023-11-01 05:09:00,246] Trial 16 finished with values: [51610.0, 0.6140625] and parameters: {'n_layers': 1, 'n_units_l0': 65, 'dropout_0': 0.22102149423447434, 'lr': 0.07125672560425499}. \n[I 2023-11-01 05:09:07,476] Trial 17 finished with values: [11630.0, 0.38203125] and parameters: {'n_layers': 3, 'n_units_l0': 11, 'dropout_0': 0.3309569005634048, 'n_units_l1': 31, 'dropout_1': 0.38203115475931115, 'n_units_l2': 65, 'dropout_2': 0.34754201364465376, 'lr': 0.019683411195722506}. \n[I 2023-11-01 05:09:14,362] Trial 18 finished with values: [81782.0, 0.70703125] and parameters: {'n_layers': 1, 'n_units_l0': 103, 'dropout_0': 0.3331630606595988, 'lr': 0.00010732187942040558}. \n[I 2023-11-01 05:09:21,494] Trial 19 finished with values: [108708.0, 0.20078125] and parameters: {'n_layers': 3, 'n_units_l0': 118, 'dropout_0': 0.44407223871438084, 'n_units_l1': 86, 'dropout_1': 0.44444612995160776, 'n_units_l2': 63, 'dropout_2': 0.26756625479292206, 'lr': 0.08247226355167189}. \n[I 2023-11-01 05:09:28,415] Trial 20 finished with values: [11880.0, 0.51875] and parameters: {'n_layers': 3, 'n_units_l0': 12, 'dropout_0': 0.3413217778873291, 'n_units_l1': 26, 'dropout_1': 0.3707991993265978, 'n_units_l2': 60, 'dropout_2': 0.43898496212795646, 'lr': 0.0003985255406813439}. \n[I 2023-11-01 05:09:35,495] Trial 21 finished with values: [64188.0, 0.7984375] and parameters: {'n_layers': 3, 'n_units_l0': 64, 'dropout_0': 0.23311968870615576, 'n_units_l1': 122, 'dropout_1': 0.3217855818472287, 'n_units_l2': 47, 'dropout_2': 0.3300464335713975, 'lr': 0.004030780175582505}. \n[I 2023-11-01 05:09:42,417] Trial 22 finished with values: [82880.0, 0.3703125] and parameters: {'n_layers': 2, 'n_units_l0': 98, 'dropout_0': 0.3797053797755924, 'n_units_l1': 56, 'dropout_1': 0.4937160703219694, 'lr': 1.62127855069063e-05}. \n[I 2023-11-01 05:09:49,335] Trial 23 finished with values: [23700.0, 0.7890625] and parameters: {'n_layers': 2, 'n_units_l0': 28, 'dropout_0': 0.22631704362055913, 'n_units_l1': 46, 'dropout_1': 0.2906625591685706, 'lr': 0.0015361714420694891}. \n[I 2023-11-01 05:09:56,250] Trial 24 finished with values: [11953.0, 0.41953125] and parameters: {'n_layers': 3, 'n_units_l0': 12, 'dropout_0': 0.46715464658984374, 'n_units_l1': 31, 'dropout_1': 0.3823362535396546, 'n_units_l2': 53, 'dropout_2': 0.4647643933160363, 'lr': 0.00014879630671272935}. \n[I 2023-11-01 05:10:03,073] Trial 25 finished with values: [21572.0, 0.775] and parameters: {'n_layers': 2, 'n_units_l0': 26, 'dropout_0': 0.2548656424149304, 'n_units_l1': 33, 'dropout_1': 0.29801371595162207, 'lr': 0.01159727195117955}. \n[I 2023-11-01 05:10:09,874] Trial 26 finished with values: [67490.0, 0.8171875] and parameters: {'n_layers': 1, 'n_units_l0': 85, 'dropout_0': 0.4692035968550705, 'lr': 0.0012360802468979974}. \n[I 2023-11-01 05:10:16,769] Trial 27 finished with values: [26775.0, 0.65703125] and parameters: {'n_layers': 2, 'n_units_l0': 33, 'dropout_0': 0.33393699536374455, 'n_units_l1': 21, 'dropout_1': 0.45788185006107746, 'lr': 0.0003069713065581492}. \n[I 2023-11-01 05:10:23,792] Trial 28 finished with values: [96074.0, 0.76484375] and parameters: {'n_layers': 1, 'n_units_l0': 121, 'dropout_0': 0.40558756746356184, 'lr': 0.0002453471601037613}. \n[I 2023-11-01 05:10:30,869] Trial 29 finished with values: [5696.0, 0.478125] and parameters: {'n_layers': 2, 'n_units_l0': 6, 'dropout_0': 0.3098744730324356, 'n_units_l1': 62, 'dropout_1': 0.4673088168442254, 'lr': 0.0001070989178124053}. \n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 17%] 002_multi_objective.py\n[I 2023-11-01 05:10:31,831] A new study created in RDB with name: no-name-59dbff7b-e5f6-482b-974c-5a1a8af09952\n[I 2023-11-01 05:10:31,999] Trial 0 finished with value: 0.019999999999999907 and parameters: {'svc_c': 9.452453176445061}. Best is trial 0 with value: 0.019999999999999907.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 25%] 003_attributes.py\n[I 2023-11-01 05:10:32,273] A new study created in memory with name: no-name-1e498018-a6ec-4513-b940-dc1b5ccaaa0a\n[I 2023-11-01 05:10:32,274] Trial 0 finished with value: 25.915230316552243 and parameters: {'x': 7.0907003758375176}. Best is trial 0 with value: 25.915230316552243.\n[I 2023-11-01 05:10:32,275] Trial 1 finished with value: 58.014587827233804 and parameters: {'x': -5.616730783428925}. Best is trial 0 with value: 25.915230316552243.\n[I 2023-11-01 05:10:32,275] Trial 2 finished with value: 0.513221381133008 and parameters: {'x': 2.716394710430645}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,276] Trial 3 finished with value: 94.71056064945566 and parameters: {'x': -7.731935092747775}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,277] Trial 4 finished with value: 35.25598342741927 and parameters: {'x': -3.9376749176272074}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,277] Trial 5 finished with value: 25.95290680415889 and parameters: {'x': 7.094399552857912}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,278] Trial 6 finished with value: 2.788644533166135 and parameters: {'x': 0.3300764888276664}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,278] Trial 7 finished with value: 52.07774511920378 and parameters: {'x': -5.216491191652892}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,279] Trial 8 finished with value: 6.0424630578109655 and parameters: {'x': -0.4581421964180521}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,280] Trial 9 finished with value: 1.6515314353637947 and parameters: {'x': 0.714880769981324}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,286] Trial 10 finished with value: 50.04940121255442 and parameters: {'x': 9.074560142691164}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,292] Trial 11 finished with value: 0.5826440524998421 and parameters: {'x': 2.7633112422202637}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,297] Trial 12 finished with value: 3.726846365889009 and parameters: {'x': 3.930504174014915}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,302] Trial 13 finished with value: 1.2185582134429305 and parameters: {'x': 3.1038832426678695}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,308] Trial 14 finished with value: 139.288477283723 and parameters: {'x': -9.802053943433872}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,313] Trial 15 finished with value: 2.4194553515128536 and parameters: {'x': 3.555459852105754}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,319] Trial 16 finished with value: 15.706235849172673 and parameters: {'x': -1.9631093662896402}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,325] Trial 17 finished with value: 0.18053115578382722 and parameters: {'x': 2.42488958069577}. Best is trial 17 with value: 0.18053115578382722.\n[I 2023-11-01 05:10:32,330] Trial 18 finished with value: 12.172740613475474 and parameters: {'x': 5.488945487317833}. Best is trial 17 with value: 0.18053115578382722.\n[I 2023-11-01 05:10:32,335] Trial 19 finished with value: 0.31941331206646834 and parameters: {'x': 1.4348333767228745}. Best is trial 17 with value: 0.18053115578382722.\n[I 2023-11-01 05:10:32,341] Trial 20 finished with value: 19.172908644526785 and parameters: {'x': -2.3786880049310186}. Best is trial 17 with value: 0.18053115578382722.\n[I 2023-11-01 05:10:32,346] Trial 21 finished with value: 0.021914773001275246 and parameters: {'x': 1.8519636091993754}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,352] Trial 22 finished with value: 0.31059922185370276 and parameters: {'x': 1.4426857063974559}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,360] Trial 23 finished with value: 10.291781864214203 and parameters: {'x': -1.208080713481848}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,366] Trial 24 finished with value: 0.6859351078548462 and parameters: {'x': 1.1717880054872145}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,371] Trial 25 finished with value: 0.08868403232011683 and parameters: {'x': 1.702201356080796}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,377] Trial 26 finished with value: 8.490981884631248 and parameters: {'x': 4.913928942961933}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,382] Trial 27 finished with value: 6.504657006047785 and parameters: {'x': -0.5504229072935698}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,388] Trial 28 finished with value: 0.20086572484190793 and parameters: {'x': 1.5518195398704804}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,393] Trial 29 finished with value: 0.04296889806378169 and parameters: {'x': 2.207289406540184}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,399] Trial 30 finished with value: 8.066345392759196 and parameters: {'x': 4.840131228087744}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,404] Trial 31 finished with value: 0.003019476771799735 and parameters: {'x': 2.0549497658939484}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,410] Trial 32 finished with value: 4.8097120981424 and parameters: {'x': -0.19310558299011227}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,415] Trial 33 finished with value: 0.03561395272950528 and parameters: {'x': 2.1887165936782065}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,421] Trial 34 finished with value: 3.9682511013490243 and parameters: {'x': 3.9920469626364294}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,427] Trial 35 finished with value: 0.16133409431323872 and parameters: {'x': 2.40166415612205}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,432] Trial 36 finished with value: 18.457967443236978 and parameters: {'x': 6.296273669499765}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,438] Trial 37 finished with value: 2.5510707213995683 and parameters: {'x': 0.4027928370434948}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,444] Trial 38 finished with value: 4.782932723166224 and parameters: {'x': 4.186991706240841}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,450] Trial 39 finished with value: 0.3436154546517257 and parameters: {'x': 2.5861872180896865}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,455] Trial 40 finished with value: 27.770357099759643 and parameters: {'x': -3.2697587325948465}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,461] Trial 41 finished with value: 0.016236497193991208 and parameters: {'x': 1.8725774855294748}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,468] Trial 42 finished with value: 2.356035645893576 and parameters: {'x': 0.46506168010125704}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,474] Trial 43 finished with value: 0.014904207118446476 and parameters: {'x': 2.122082787969666}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,480] Trial 44 finished with value: 2.490584902193526 and parameters: {'x': 3.578158706275616}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,486] Trial 45 finished with value: 1.0655572386156282 and parameters: {'x': 0.9677416802875219}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,491] Trial 46 finished with value: 0.9217239490934929 and parameters: {'x': 2.9600645546490574}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,497] Trial 47 finished with value: 4.17111434553502 and parameters: {'x': -0.042330616118511966}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,503] Trial 48 finished with value: 0.009705968616308095 and parameters: {'x': 2.098518874416571}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,509] Trial 49 finished with value: 8.868027136913227 and parameters: {'x': -0.9779232926509756}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,515] Trial 50 finished with value: 1.4230771442259422 and parameters: {'x': 3.1929279710971414}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,520] Trial 51 finished with value: 0.0019950342238028392 and parameters: {'x': 2.0446658059795504}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,526] Trial 52 finished with value: 1.9694071804401496 and parameters: {'x': 0.5966443143521492}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,532] Trial 53 finished with value: 0.05044466871673954 and parameters: {'x': 1.7754010936875704}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,537] Trial 54 finished with value: 0.8099853587088279 and parameters: {'x': 2.8999918659125914}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,543] Trial 55 finished with value: 3.097041017984251 and parameters: {'x': 3.7598411911261342}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,548] Trial 56 finished with value: 0.6639945927868676 and parameters: {'x': 1.1851413663788868}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,554] Trial 57 finished with value: 3.2516648986486167 and parameters: {'x': 0.19676266158649636}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,560] Trial 58 finished with value: 7.230126654701611 and parameters: {'x': 4.688889483541786}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,566] Trial 59 finished with value: 1.1804290117753942 and parameters: {'x': 0.9135245001494998}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,571] Trial 60 finished with value: 0.03683159459031074 and parameters: {'x': 1.8080844076415084}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,578] Trial 61 finished with value: 0.06990621876539176 and parameters: {'x': 2.264397841831948}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,584] Trial 62 finished with value: 0.0028181779856849983 and parameters: {'x': 2.0530865141602366}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,590] Trial 63 finished with value: 1.5101144543567797 and parameters: {'x': 3.228867142679297}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,596] Trial 64 finished with value: 0.0014613723250412928 and parameters: {'x': 1.9617721001748554}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,602] Trial 65 finished with value: 1.4442420773647384 and parameters: {'x': 3.201766232411586}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,607] Trial 66 finished with value: 0.9755552288310754 and parameters: {'x': 1.0122980060610005}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,613] Trial 67 finished with value: 0.41081438773109186 and parameters: {'x': 2.640948038245763}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,619] Trial 68 finished with value: 0.09969678338466914 and parameters: {'x': 1.6842520255256272}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,624] Trial 69 finished with value: 6.516094133714949 and parameters: {'x': -0.552664124736145}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,630] Trial 70 finished with value: 5.280961681673593 and parameters: {'x': 4.298034308202032}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,636] Trial 71 finished with value: 0.0003474556938231585 and parameters: {'x': 2.018640163460205}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,642] Trial 72 finished with value: 0.001895599226087367 and parameters: {'x': 2.0435384798320677}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,647] Trial 73 finished with value: 2.320524355088325 and parameters: {'x': 3.523326739438498}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,653] Trial 74 finished with value: 0.1555044358955113 and parameters: {'x': 2.3943405075509125}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,659] Trial 75 finished with value: 0.42564719605890144 and parameters: {'x': 1.3475835715902753}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,665] Trial 76 finished with value: 1.6333142884369265 and parameters: {'x': 0.7219881501187375}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,670] Trial 77 finished with value: 0.8348897435859222 and parameters: {'x': 2.9137230125075773}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,676] Trial 78 finished with value: 0.0006539707099462197 and parameters: {'x': 2.0255728510328086}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,682] Trial 79 finished with value: 3.654837713968637 and parameters: {'x': 0.08823701417549223}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,688] Trial 80 finished with value: 0.4404293226039008 and parameters: {'x': 1.3363515067417837}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,696] Trial 81 finished with value: 0.04249185848358659 and parameters: {'x': 2.206135534257407}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,702] Trial 82 finished with value: 0.5485498930520999 and parameters: {'x': 2.7406415415382126}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,708] Trial 83 finished with value: 0.00608936716416255 and parameters: {'x': 1.9219656026859786}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,714] Trial 84 finished with value: 1.8200674434394324 and parameters: {'x': 0.6509012477066654}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,719] Trial 85 finished with value: 0.20442608027484807 and parameters: {'x': 1.5478649756158587}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,725] Trial 86 finished with value: 2.621039225179976 and parameters: {'x': 3.618962391527356}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,731] Trial 87 finished with value: 0.00933519634943961 and parameters: {'x': 2.096618819851205}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,737] Trial 88 finished with value: 0.19921259719678736 and parameters: {'x': 2.4463323842124693}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,743] Trial 89 finished with value: 0.9147911684570397 and parameters: {'x': 1.0435528407397303}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,749] Trial 90 finished with value: 0.01607726800132403 and parameters: {'x': 1.8732038328602791}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,755] Trial 91 finished with value: 0.0050703297970884674 and parameters: {'x': 2.0712062483008933}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,760] Trial 92 finished with value: 0.7629464905939917 and parameters: {'x': 2.8734680821838836}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,766] Trial 93 finished with value: 0.4751017486675177 and parameters: {'x': 1.3107237501063034}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,772] Trial 94 finished with value: 2.2689435843738197 and parameters: {'x': 0.4936987073052683}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,778] Trial 95 finished with value: 1.9214402514401683 and parameters: {'x': 3.3861602546026806}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,784] Trial 96 finished with value: 0.000595729877721644 and parameters: {'x': 1.9755924217153433}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,791] Trial 97 finished with value: 4.768039901103679 and parameters: {'x': 4.183584186859687}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,798] Trial 98 finished with value: 0.4601887869514822 and parameters: {'x': 2.678372159622933}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,804] Trial 99 finished with value: 0.2185772010167826 and parameters: {'x': 1.5324775930323953}. Best is trial 71 with value: 0.0003474556938231585.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 33%] 004_cli.py\n[I 2023-11-01 05:10:33,047] A new study created in memory with name: no-name-49c99a31-3bd2-4077-8b79-5d632190fc36\n[I 2023-11-01 05:10:33,048] Trial 0 finished with value: 41.37845656956571 and parameters: {'x': 6.729620359290152, 'y': -3.9093336106068053}. Best is trial 0 with value: 41.37845656956571.\n[I 2023-11-01 05:10:33,049] Trial 1 finished with value: 29.05339369170658 and parameters: {'x': 5.766346297724699, 'y': -4.197355933576759}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,050] Trial 2 finished with value: 48.93717865485316 and parameters: {'x': 7.241482827766296, 'y': -3.501894889980991}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,051] Trial 3 finished with value: 38.524946283521885 and parameters: {'x': 6.522850992699908, 'y': -4.02263878944429}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,052] Trial 4 finished with value: 69.04638359592593 and parameters: {'x': 8.515714168907225, 'y': -3.4710042106013317}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,053] Trial 5 finished with value: 58.013597310991415 and parameters: {'x': 7.882299430705022, 'y': -4.1170470043012894}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,054] Trial 6 finished with value: 33.12804532546675 and parameters: {'x': 6.033274416772244, 'y': -3.2723548626117056}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,055] Trial 7 finished with value: 60.56855058695385 and parameters: {'x': 7.971907176289005, 'y': -2.982753440414283}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,057] Trial 8 finished with value: 19.518682554337268 and parameters: {'x': 4.869340404250671, 'y': -4.1917934181308265}. Best is trial 8 with value: 19.518682554337268.\n[I 2023-11-01 05:10:33,058] Trial 9 finished with value: 7.562878063472277 and parameters: {'x': 3.342354398609741, 'y': -3.6084548624336064}. Best is trial 9 with value: 7.562878063472277.\n[I 2023-11-01 05:10:33,060] Trial 10 finished with value: 9.32177726966869 and parameters: {'x': 3.7316855463895746, 'y': -4.603699747464167}. Best is trial 9 with value: 7.562878063472277.\n[I 2023-11-01 05:10:33,062] Trial 11 finished with value: -1.023073759821524 and parameters: {'x': 1.8118931398330465, 'y': -4.30603050999558}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,063] Trial 12 finished with value: 5.868438133987599 and parameters: {'x': 3.167852733127188, 'y': -4.1668528047937965}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,065] Trial 13 finished with value: 5.989918006369679 and parameters: {'x': 3.2839112090943257, 'y': -4.794154822845677}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,067] Trial 14 finished with value: 23.058737733410005 and parameters: {'x': 5.22913441157538, 'y': -4.285108960911793}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,069] Trial 15 finished with value: 12.407113233505818 and parameters: {'x': 4.139725915466551, 'y': -4.730217421679554}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,071] Trial 16 finished with value: 15.138300006499254 and parameters: {'x': 4.449995999918412, 'y': -4.664164392790618}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,072] Trial 17 finished with value: 24.23264134893212 and parameters: {'x': 5.401867859892334, 'y': -4.947535026805671}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,074] Trial 18 finished with value: 18.093797019147573 and parameters: {'x': 4.708707365060068, 'y': -4.078128030623354}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,077] Trial 19 finished with value: 12.725060441864734 and parameters: {'x': 4.03571614717236, 'y': -3.5619443786829885}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,079] Trial 20 finished with value: 20.22905363336897 and parameters: {'x': 4.914224867889226, 'y': -3.920552418811911}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,081] Trial 21 finished with value: 30.723189102153103 and parameters: {'x': 5.872462411949654, 'y': -3.7626256776084377}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,083] Trial 22 finished with value: 24.226416937548827 and parameters: {'x': 5.3973751010426465, 'y': -4.90524104380629}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,085] Trial 23 finished with value: 8.697185967180001 and parameters: {'x': 3.5641032905249483, 'y': -4.005646298350763}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,087] Trial 24 finished with value: 3.8839223900442907 and parameters: {'x': 2.6263891050665245, 'y': -3.013997341167849}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,090] Trial 25 finished with value: 1.3311230853312606 and parameters: {'x': 1.9304728609319197, 'y': -2.3956023814634104}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,092] Trial 26 finished with value: -1.697196252797666 and parameters: {'x': 0.4372946670414646, 'y': -1.8884228786205715}. Best is trial 26 with value: -1.697196252797666.\n[I 2023-11-01 05:10:33,095] Trial 27 finished with value: 0.13348514499652198 and parameters: {'x': 1.3491542733786577, 'y': -1.6867321083793718}. Best is trial 26 with value: -1.697196252797666.\n[I 2023-11-01 05:10:33,097] Trial 28 finished with value: 1.9466417470556274 and parameters: {'x': 1.9314311193388154, 'y': -1.7837844216947618}. Best is trial 26 with value: -1.697196252797666.\n[I 2023-11-01 05:10:33,100] Trial 29 finished with value: 1.4343631754755488 and parameters: {'x': 1.640538404015498, 'y': -1.2570030795741685}. Best is trial 26 with value: -1.697196252797666.\n[I 2023-11-01 05:10:33,103] Trial 30 finished with value: -2.0763435037143942 and parameters: {'x': 0.3666552297763015, 'y': -2.2107795612367065}. Best is trial 30 with value: -2.0763435037143942.\n[I 2023-11-01 05:10:33,106] Trial 31 finished with value: -2.2031476703024317 and parameters: {'x': -0.2722549505762746, 'y': -2.2772704284157212}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,109] Trial 32 finished with value: -1.1658052313979312 and parameters: {'x': -0.7491627819771978, 'y': -1.7270501052977456}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,113] Trial 33 finished with value: -1.121826924352579 and parameters: {'x': 0.9805680116197317, 'y': -2.0833405497644533}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,116] Trial 34 finished with value: -0.9707139714982231 and parameters: {'x': 1.4205570818206459, 'y': -2.9886963942090126}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,119] Trial 35 finished with value: -2.1913572120784193 and parameters: {'x': -0.10064969439449456, 'y': -2.2014875730601244}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,122] Trial 36 finished with value: -0.7482831977890227 and parameters: {'x': 1.1357361963441703, 'y': -2.0381799054753467}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,125] Trial 37 finished with value: 5.0279412971424815 and parameters: {'x': 2.665594229384823, 'y': -2.077451298587188}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,128] Trial 38 finished with value: -1.3752688565759872 and parameters: {'x': -0.4808267701030928, 'y': -1.6064632394237597}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,131] Trial 39 finished with value: -1.620583907905104 and parameters: {'x': 0.9559680805177044, 'y': -2.5344588788738083}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,135] Trial 40 finished with value: -2.0380175799665934 and parameters: {'x': 1.009721002781812, 'y': -3.0575540834253014}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,138] Trial 41 finished with value: 2.1544342280763704 and parameters: {'x': 2.293299667977895, 'y': -3.104789139071153}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,142] Trial 42 finished with value: -2.6414167834056133 and parameters: {'x': 0.5204636971265413, 'y': -2.9122992434322414}. Best is trial 42 with value: -2.6414167834056133.\n[I 2023-11-01 05:10:33,146] Trial 43 finished with value: -2.9947741612037304 and parameters: {'x': -0.5027665911332924, 'y': -3.2475484063635216}. Best is trial 43 with value: -2.9947741612037304.\n[I 2023-11-01 05:10:33,150] Trial 44 finished with value: -1.6940559808068447 and parameters: {'x': -1.0113698566922333, 'y': -2.7169249678325134}. Best is trial 43 with value: -2.9947741612037304.\n[I 2023-11-01 05:10:33,153] Trial 45 finished with value: 3.200773892829993 and parameters: {'x': -2.456911006807861, 'y': -2.835637802543623}. Best is trial 43 with value: -2.9947741612037304.\n[I 2023-11-01 05:10:33,157] Trial 46 finished with value: -1.961753910831446 and parameters: {'x': 1.2544277298278508, 'y': -3.5353428401925013}. Best is trial 43 with value: -2.9947741612037304.\n[I 2023-11-01 05:10:33,161] Trial 47 finished with value: -1.2755967580659513 and parameters: {'x': -1.2990721291273348, 'y': -2.963185154741378}. Best is trial 43 with value: -2.9947741612037304.\n[I 2023-11-01 05:10:33,165] Trial 48 finished with value: 2.6245205063598998 and parameters: {'x': -2.251501028048538, 'y': -2.4447363729437233}. Best is trial 43 with value: -2.9947741612037304.\n[I 2023-11-01 05:10:33,169] Trial 49 finished with value: -3.5204979954283475 and parameters: {'x': 0.8441087162191998, 'y': -4.233017520225573}. Best is trial 49 with value: -3.5204979954283475.\n[I 2023-11-01 05:10:33,173] Trial 50 finished with value: -4.161201005770976 and parameters: {'x': -0.1603343006871687, 'y': -4.186908093747819}. Best is trial 50 with value: -4.161201005770976.\n[I 2023-11-01 05:10:33,177] Trial 51 finished with value: -1.1334106445419447 and parameters: {'x': -1.7841457941999992, 'y': -4.316586859503491}. Best is trial 50 with value: -4.161201005770976.\n[I 2023-11-01 05:10:33,181] Trial 52 finished with value: -4.428713369586269 and parameters: {'x': -0.26245185550107264, 'y': -4.497594346042225}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,185] Trial 53 finished with value: -3.9851105945948437 and parameters: {'x': 0.33411231319181045, 'y': -4.096741632421226}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,190] Trial 54 finished with value: -4.00365095452416 and parameters: {'x': 0.7702194095864883, 'y': -4.596888893427918}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,194] Trial 55 finished with value: 1.2098640497183766 and parameters: {'x': 2.249958553353035, 'y': -3.852449442088105}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,199] Trial 56 finished with value: 1.1055999187482746 and parameters: {'x': 2.3667847596100735, 'y': -4.496070179574239}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,204] Trial 57 finished with value: -4.070529136868445 and parameters: {'x': -0.8147534715685896, 'y': -4.734352356301514}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,209] Trial 58 finished with value: -3.1395313702816754 and parameters: {'x': -0.8657011162159027, 'y': -3.888969792899135}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,214] Trial 59 finished with value: -4.379864863778126 and parameters: {'x': 0.04449088253255562, 'y': -4.381844302406652}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,220] Trial 60 finished with value: -3.9729940006180393 and parameters: {'x': 0.29654858192991185, 'y': -4.060935062062681}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,225] Trial 61 finished with value: -3.4088169787720104 and parameters: {'x': -0.3371500105653298, 'y': -3.5224871083962124}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,231] Trial 62 finished with value: -2.751305545312304 and parameters: {'x': -1.2281833185608875, 'y': -4.259739809303539}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,236] Trial 63 finished with value: -1.0526860598448629 and parameters: {'x': 1.6696524477922003, 'y': -3.8404253562633492}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,240] Trial 64 finished with value: -3.358970226485784 and parameters: {'x': -0.9055088918456997, 'y': -4.178916579697411}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,246] Trial 65 finished with value: -3.3619109342180495 and parameters: {'x': 1.1084017090449643, 'y': -4.590465282831847}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,251] Trial 66 finished with value: -0.7783477619583343 and parameters: {'x': -1.826012990364967, 'y': -4.112671202939943}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,256] Trial 67 finished with value: -3.9595177162741786 and parameters: {'x': 0.08103529105356477, 'y': -3.9660844346703144}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,261] Trial 68 finished with value: 0.659578210699451 and parameters: {'x': 2.036284153548783, 'y': -3.4868749432944317}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,267] Trial 69 finished with value: -4.273286857436882 and parameters: {'x': 0.4642275772611253, 'y': -4.488794100926616}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,272] Trial 70 finished with value: -0.825521339427147 and parameters: {'x': -1.738878245292986, 'y': -3.849218891380361}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,278] Trial 71 finished with value: -3.557207794569008 and parameters: {'x': -0.35466645560120247, 'y': -3.6829960892977276}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,284] Trial 72 finished with value: -4.8626913893245485 and parameters: {'x': 0.12374626755358165, 'y': -4.878004528057991}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,289] Trial 73 finished with value: -3.776021373032594 and parameters: {'x': -0.5723672241253501, 'y': -4.103625612285553}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,295] Trial 74 finished with value: -4.247822801644699 and parameters: {'x': 0.0919356912571172, 'y': -4.256274972971624}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,301] Trial 75 finished with value: -1.4515571970916987 and parameters: {'x': -1.727942336946053, 'y': -4.437341916902286}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,306] Trial 76 finished with value: -1.7451724658866365 and parameters: {'x': 1.7745115121960802, 'y': -4.894063572803056}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,312] Trial 77 finished with value: -4.368258767815302 and parameters: {'x': 0.7646978682634571, 'y': -4.953021597541977}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,318] Trial 78 finished with value: -4.429956393698919 and parameters: {'x': -0.392445191564172, 'y': -4.583969622080758}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,326] Trial 79 finished with value: -0.6671794118138257 and parameters: {'x': 2.056124884064691, 'y': -4.8948289506838645}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,332] Trial 80 finished with value: -4.1979420843591155 and parameters: {'x': 0.5814042189090425, 'y': -4.535972950124349}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,338] Trial 81 finished with value: -2.7015594207742124 and parameters: {'x': -1.2381195607112745, 'y': -4.2344994673900915}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,344] Trial 82 finished with value: -4.472118680968363 and parameters: {'x': -0.2053285335538857, 'y': -4.514278487659752}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,351] Trial 83 finished with value: -3.766445582748265 and parameters: {'x': 0.33702696757896433, 'y': -3.880032759623737}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,357] Trial 84 finished with value: -4.269742813418271 and parameters: {'x': 0.7778293646857541, 'y': -4.874761333985715}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,363] Trial 85 finished with value: -3.444109724991308 and parameters: {'x': 0.9936412074434431, 'y': -4.431432574120971}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,369] Trial 86 finished with value: -2.144497477421845 and parameters: {'x': -1.5622057612974518, 'y': -4.584984318052796}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,376] Trial 87 finished with value: -4.212192446309842 and parameters: {'x': 0.6411500715617855, 'y': -4.623265860573525}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,383] Trial 88 finished with value: -0.9663219369324261 and parameters: {'x': -1.8541975172742315, 'y': -4.40437036999835}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,390] Trial 89 finished with value: -3.6909509404056684 and parameters: {'x': -0.907494398803876, 'y': -4.514497024266077}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,397] Trial 90 finished with value: -3.429151084156727 and parameters: {'x': 1.0732778395969347, 'y': -4.58107640512659}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,404] Trial 91 finished with value: -3.8003154167910607 and parameters: {'x': 0.6291562009974503, 'y': -4.196152942044605}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,411] Trial 92 finished with value: -4.477530615647174 and parameters: {'x': 0.323910858322924, 'y': -4.582448859786667}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,418] Trial 93 finished with value: -4.62520487067022 and parameters: {'x': 0.500827831430624, 'y': -4.876033387405721}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,425] Trial 94 finished with value: -3.793752846715887 and parameters: {'x': 0.5490777515558682, 'y': -4.095239223969535}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,433] Trial 95 finished with value: -3.3994890936487927 and parameters: {'x': -1.186039180567282, 'y': -4.806178031489503}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,441] Trial 96 finished with value: -2.424307252277668 and parameters: {'x': -1.3892239896683383, 'y': -4.354250545747683}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,448] Trial 97 finished with value: -1.850556385114984 and parameters: {'x': 1.6694509241129274, 'y': -4.637622773136491}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,456] Trial 98 finished with value: -4.123947710614007 and parameters: {'x': 0.23755371904375444, 'y': -4.180379480045526}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,463] Trial 99 finished with value: -4.631150360571918 and parameters: {'x': 0.4331846104602164, 'y': -4.818799267311487}. Best is trial 72 with value: -4.8626913893245485.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 42%] 005_user_defined_sampler.py\n[I 2023-11-01 05:10:33,716] A new study created in memory with name: no-name-654bc052-f655-47e5-bef5-f2a5be58f03a\n[I 2023-11-01 05:10:33,735] Trial 0 finished with value: 0.72 and parameters: {'loss': 'hinge', 'alpha': 8.929575014927925e-05}. Best is trial 0 with value: 0.72.\n[I 2023-11-01 05:10:33,754] Trial 1 finished with value: 0.72 and parameters: {'loss': 'hinge', 'alpha': 0.00010321025095962854}. Best is trial 0 with value: 0.72.\n[I 2023-11-01 05:10:33,771] Trial 2 finished with value: 0.7 and parameters: {'loss': 'log_loss', 'alpha': 8.61306170634089e-05}. Best is trial 0 with value: 0.72.\n[I 2023-11-01 05:10:33,789] Trial 3 finished with value: 0.76 and parameters: {'loss': 'log_loss', 'alpha': 0.00012811883502384877}. Best is trial 3 with value: 0.76.\n[I 2023-11-01 05:10:33,806] Trial 4 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.0366046020456392e-05}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,823] Trial 5 finished with value: 0.76 and parameters: {'loss': 'log_loss', 'alpha': 0.00016436910598228077}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,840] Trial 6 finished with value: 0.92 and parameters: {'loss': 'log_loss', 'alpha': 0.0002448899548184298}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,859] Trial 7 finished with value: 0.76 and parameters: {'loss': 'hinge', 'alpha': 0.0002030487592250672}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,877] Trial 8 pruned. \n[I 2023-11-01 05:10:33,894] Trial 9 pruned. \n[I 2023-11-01 05:10:33,918] Trial 10 finished with value: 0.84 and parameters: {'loss': 'perceptron', 'alpha': 1.1102587431000562e-05}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,942] Trial 11 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.016671561443598e-05}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,967] Trial 12 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 2.143863278033103e-05}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,992] Trial 13 finished with value: 0.74 and parameters: {'loss': 'log_loss', 'alpha': 0.0003313743684429552}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:34,017] Trial 14 finished with value: 0.8 and parameters: {'loss': 'perceptron', 'alpha': 4.2810509278816464e-05}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:34,042] Trial 15 pruned. \n[I 2023-11-01 05:10:34,068] Trial 16 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009286479146648954}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,099] Trial 17 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 0.0006218985218987188}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,124] Trial 18 finished with value: 0.8 and parameters: {'loss': 'perceptron', 'alpha': 0.0003810713184776978}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,148] Trial 19 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009496905966398203}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,171] Trial 20 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.000968666803942028}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,199] Trial 21 finished with value: 0.76 and parameters: {'loss': 'perceptron', 'alpha': 0.0008493970946451724}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,223] Trial 22 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009569085952863658}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,248] Trial 23 finished with value: 0.86 and parameters: {'loss': 'perceptron', 'alpha': 0.0005496197142186719}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,272] Trial 24 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009286820102417735}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,296] Trial 25 finished with value: 0.86 and parameters: {'loss': 'perceptron', 'alpha': 0.0005215566389381889}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,321] Trial 26 finished with value: 0.9 and parameters: {'loss': 'hinge', 'alpha': 0.0005143783689907989}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,344] Trial 27 pruned. \n[I 2023-11-01 05:10:34,368] Trial 28 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009311704691774453}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,393] Trial 29 finished with value: 0.88 and parameters: {'loss': 'hinge', 'alpha': 0.00042761019794935865}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,422] Trial 30 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 0.0006227344718262742}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,446] Trial 31 pruned. \n[I 2023-11-01 05:10:34,470] Trial 32 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009459802855843404}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,496] Trial 33 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0008963048061208879}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,522] Trial 34 finished with value: 0.88 and parameters: {'loss': 'hinge', 'alpha': 0.0004648626635800396}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,553] Trial 35 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 0.000662933811271256}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,577] Trial 36 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.000987274631555338}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,602] Trial 37 finished with value: 0.7 and parameters: {'loss': 'perceptron', 'alpha': 0.000298572099521705}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,626] Trial 38 finished with value: 0.88 and parameters: {'loss': 'hinge', 'alpha': 0.0004470650478583855}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,653] Trial 39 finished with value: 0.72 and parameters: {'loss': 'perceptron', 'alpha': 0.0002740776745719036}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,678] Trial 40 pruned. \n[I 2023-11-01 05:10:34,703] Trial 41 finished with value: 0.8 and parameters: {'loss': 'perceptron', 'alpha': 0.0008047033695062268}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,727] Trial 42 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009604748715106533}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,752] Trial 43 finished with value: 0.86 and parameters: {'loss': 'perceptron', 'alpha': 0.000581525823696794}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,776] Trial 44 finished with value: 0.74 and parameters: {'loss': 'log_loss', 'alpha': 0.0007552321706381759}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,801] Trial 45 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009881219732174487}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,825] Trial 46 finished with value: 0.86 and parameters: {'loss': 'perceptron', 'alpha': 0.000585687790132257}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,850] Trial 47 finished with value: 0.8 and parameters: {'loss': 'perceptron', 'alpha': 0.0003915493867276209}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,876] Trial 48 finished with value: 0.74 and parameters: {'loss': 'log_loss', 'alpha': 0.0001985827840934149}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,901] Trial 49 pruned. \n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 50%] 006_user_defined_pruner.py\n[I 2023-11-01 05:10:35,179] A new study created in memory with name: no-name-c76683db-2002-4af2-8d53-66a668107cba\n[I 2023-11-01 05:10:35,181] Trial 0 finished with value: 0.07977777856892032 and parameters: {'x': 0.07977777856892032}. Best is trial 0 with value: 0.07977777856892032.\n[I 2023-11-01 05:10:35,181] Trial 1 finished with value: 0.7652693888791419 and parameters: {'x': 0.7652693888791419}. Best is trial 0 with value: 0.07977777856892032.\n[I 2023-11-01 05:10:35,182] Trial 2 finished with value: 0.4691639179603989 and parameters: {'x': 0.4691639179603989}. Best is trial 0 with value: 0.07977777856892032.\n[I 2023-11-01 05:10:35,183] Trial 3 finished with value: 0.5822393379114658 and parameters: {'x': 0.5822393379114658}. Best is trial 0 with value: 0.07977777856892032.\n[I 2023-11-01 05:10:35,183] Trial 4 finished with value: 0.8830521036019581 and parameters: {'x': 0.8830521036019581}. Best is trial 0 with value: 0.07977777856892032.\n[I 2023-11-01 05:10:35,184] Trial 5 pruned. \n[I 2023-11-01 05:10:35,184] Trial 6 pruned. \n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 58%] 007_optuna_callback.py\n[I 2023-11-01 05:10:35,428] A new study created in memory with name: no-name-c739be75-0469-455c-bd0d-60581b36a8e1\n[I 2023-11-01 05:10:35,538] Trial 0 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 1.0, 'bagging_freq': 0, 'min_child_samples': 20}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:10:35,631] Trial 1 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.75, 'bagging_freq': 5, 'min_child_samples': 20}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:35,664] Trial 2 finished with value: 0.9370629370629371 and parameters: {'bagging_fraction': 0.4104779570391478, 'bagging_freq': 4, 'min_child_samples': 86}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:35,710] Trial 3 finished with value: 0.965034965034965 and parameters: {'bagging_fraction': 0.7540947843189368, 'bagging_freq': 5, 'min_child_samples': 78}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:35,764] Trial 4 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.9980261535925151, 'bagging_freq': 5, 'min_child_samples': 56}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:35,804] Trial 5 pruned. Trial was pruned at iteration 17.\n[I 2023-11-01 05:10:35,818] Trial 6 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:35,831] Trial 7 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:35,847] Trial 8 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:35,861] Trial 9 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:35,894] Trial 10 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:35,926] Trial 11 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:35,962] Trial 12 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,083] Trial 13 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.7048775504632986, 'bagging_freq': 2, 'min_child_samples': 29}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:36,114] Trial 14 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,147] Trial 15 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,217] Trial 16 pruned. Trial was pruned at iteration 31.\n[I 2023-11-01 05:10:36,333] Trial 17 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.7565674629945255, 'bagging_freq': 1, 'min_child_samples': 46}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:36,367] Trial 18 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,421] Trial 19 pruned. Trial was pruned at iteration 32.\n[I 2023-11-01 05:10:36,453] Trial 20 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,486] Trial 21 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,626] Trial 22 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.9242133080936901, 'bagging_freq': 1, 'min_child_samples': 24}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:36,657] Trial 23 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,880] Trial 24 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.8474232729382789, 'bagging_freq': 3, 'min_child_samples': 13}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:36,947] Trial 25 pruned. Trial was pruned at iteration 39.\n[I 2023-11-01 05:10:36,979] Trial 26 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,012] Trial 27 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,055] Trial 28 pruned. Trial was pruned at iteration 8.\n[I 2023-11-01 05:10:37,087] Trial 29 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,191] Trial 30 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.8950371767642401, 'bagging_freq': 3, 'min_child_samples': 55}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:37,226] Trial 31 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,265] Trial 32 pruned. Trial was pruned at iteration 8.\n[I 2023-11-01 05:10:37,298] Trial 33 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,331] Trial 34 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,364] Trial 35 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,407] Trial 36 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,442] Trial 37 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,478] Trial 38 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,511] Trial 39 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,544] Trial 40 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,580] Trial 41 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,627] Trial 42 pruned. Trial was pruned at iteration 11.\n[I 2023-11-01 05:10:37,661] Trial 43 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,698] Trial 44 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,734] Trial 45 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,768] Trial 46 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,905] Trial 47 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.8114410604261729, 'bagging_freq': 0, 'min_child_samples': 31}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:37,939] Trial 48 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,973] Trial 49 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,008] Trial 50 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,046] Trial 51 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,082] Trial 52 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,118] Trial 53 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,153] Trial 54 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,188] Trial 55 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,236] Trial 56 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,271] Trial 57 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,308] Trial 58 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,349] Trial 59 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,387] Trial 60 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,423] Trial 61 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,461] Trial 62 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,500] Trial 63 pruned. Trial was pruned at iteration 5.\n[I 2023-11-01 05:10:38,694] Trial 64 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.7965683098337462, 'bagging_freq': 0, 'min_child_samples': 13}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:38,729] Trial 65 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,765] Trial 66 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,802] Trial 67 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,837] Trial 68 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,871] Trial 69 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,908] Trial 70 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,036] Trial 71 finished with value: 0.993006993006993 and parameters: {'bagging_fraction': 0.806551277263392, 'bagging_freq': 0, 'min_child_samples': 38}. Best is trial 71 with value: 0.993006993006993.\n[I 2023-11-01 05:10:39,073] Trial 72 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,260] Trial 73 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.7915625581756872, 'bagging_freq': 0, 'min_child_samples': 18}. Best is trial 71 with value: 0.993006993006993.\n[I 2023-11-01 05:10:39,295] Trial 74 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,336] Trial 75 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,371] Trial 76 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,408] Trial 77 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,443] Trial 78 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,478] Trial 79 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,512] Trial 80 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,550] Trial 81 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,586] Trial 82 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,621] Trial 83 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,659] Trial 84 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,696] Trial 85 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,732] Trial 86 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,775] Trial 87 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,810] Trial 88 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,847] Trial 89 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,884] Trial 90 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,919] Trial 91 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,954] Trial 92 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,994] Trial 93 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,030] Trial 94 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,073] Trial 95 pruned. Trial was pruned at iteration 4.\n[I 2023-11-01 05:10:40,112] Trial 96 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,148] Trial 97 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,185] Trial 98 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:40,223] Trial 99 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:40,226] A new study created in memory with name: no-name-2f261799-bea7-4027-b162-f00d9022a360\n[I 2023-11-01 05:10:40,397] Trial 2 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.9510707293830148, 'bagging_freq': 6, 'min_child_samples': 9}. Best is trial 2 with value: 0.972027972027972.\n[I 2023-11-01 05:10:40,481] Trial 3 finished with value: 0.993006993006993 and parameters: {'bagging_fraction': 0.7937220901817954, 'bagging_freq': 1, 'min_child_samples': 29}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:40,520] Trial 4 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.6160599410096298, 'bagging_freq': 1, 'min_child_samples': 77}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:40,536] Trial 5 pruned. Trial was pruned at iteration 3.\n[I 2023-11-01 05:10:40,551] Trial 6 pruned. Trial was pruned at iteration 3.\n[I 2023-11-01 05:10:40,563] Trial 7 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,578] Trial 8 pruned. Trial was pruned at iteration 3.\n[I 2023-11-01 05:10:40,591] Trial 9 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,623] Trial 10 pruned. Trial was pruned at iteration 3.\n[I 2023-11-01 05:10:40,657] Trial 11 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:10:40,686] Trial 12 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,891] Trial 13 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.9029103140574527, 'bagging_freq': 2, 'min_child_samples': 5}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:40,922] Trial 14 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,136] Trial 15 finished with value: 0.965034965034965 and parameters: {'bagging_fraction': 0.8720802555471276, 'bagging_freq': 2, 'min_child_samples': 6}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:41,168] Trial 16 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,200] Trial 17 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,232] Trial 18 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:10:41,267] Trial 19 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,311] Trial 20 pruned. Trial was pruned at iteration 16.\n[I 2023-11-01 05:10:41,512] Trial 21 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.9640891781382809, 'bagging_freq': 2, 'min_child_samples': 6}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:41,546] Trial 22 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:41,578] Trial 23 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,610] Trial 24 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,640] Trial 25 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,673] Trial 26 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:10:41,707] Trial 27 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,739] Trial 28 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,773] Trial 29 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,807] Trial 30 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,841] Trial 31 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,874] Trial 32 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,908] Trial 33 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,941] Trial 34 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,974] Trial 35 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,010] Trial 36 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,045] Trial 37 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,084] Trial 38 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,119] Trial 39 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,152] Trial 40 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,193] Trial 41 pruned. Trial was pruned at iteration 4.\n[I 2023-11-01 05:10:42,234] Trial 42 pruned. Trial was pruned at iteration 4.\n[I 2023-11-01 05:10:42,275] Trial 43 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,426] Trial 44 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.9745711872505974, 'bagging_freq': 4, 'min_child_samples': 30}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:42,465] Trial 45 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,500] Trial 46 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,542] Trial 47 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:10:42,578] Trial 48 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,613] Trial 49 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,646] Trial 50 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,686] Trial 51 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,722] Trial 52 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:42,759] Trial 53 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:42,797] Trial 54 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,833] Trial 55 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,868] Trial 56 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,904] Trial 57 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,941] Trial 58 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:42,980] Trial 59 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,018] Trial 60 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,054] Trial 61 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,095] Trial 62 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:10:43,132] Trial 63 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,168] Trial 64 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,209] Trial 65 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:43,246] Trial 66 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:43,286] Trial 67 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,485] Trial 68 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.814231044559822, 'bagging_freq': 3, 'min_child_samples': 13}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:43,524] Trial 69 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,560] Trial 70 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,704] Trial 71 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.8070388579081524, 'bagging_freq': 2, 'min_child_samples': 25}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:43,748] Trial 72 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,783] Trial 73 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,921] Trial 74 finished with value: 1.0 and parameters: {'bagging_fraction': 0.7822417760635363, 'bagging_freq': 2, 'min_child_samples': 25}. Best is trial 74 with value: 1.0.\n[I 2023-11-01 05:10:43,959] Trial 75 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,995] Trial 76 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,033] Trial 77 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,074] Trial 78 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,114] Trial 79 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,152] Trial 80 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,192] Trial 81 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,232] Trial 82 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,272] Trial 83 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:10:44,310] Trial 84 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,347] Trial 85 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,385] Trial 86 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,422] Trial 87 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,458] Trial 88 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,496] Trial 89 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,532] Trial 90 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,568] Trial 91 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,605] Trial 92 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,644] Trial 93 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,695] Trial 94 pruned. Trial was pruned at iteration 8.\n[I 2023-11-01 05:10:44,733] Trial 95 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,769] Trial 96 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,808] Trial 97 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,844] Trial 98 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,881] Trial 99 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,921] Trial 100 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,961] Trial 101 pruned. Trial was pruned at iteration 0.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 67%] 008_specify_params.py\n[I 2023-11-01 05:10:45,217] A new study created in memory with name: no-name-d69304f8-1546-43cb-8dea-451c00712df0\n[I 2023-11-01 05:10:45,224] Trial 0 finished with value: 0.88 and parameters: {'C': 0.03787995022398106, 'solver': 'lbfgs'}. Best is trial 0 with value: 0.88.\n[I 2023-11-01 05:10:45,230] Trial 1 finished with value: 0.28 and parameters: {'C': 0.00010616372982175543, 'solver': 'lbfgs'}. Best is trial 0 with value: 0.88.\n[I 2023-11-01 05:10:45,234] Trial 2 finished with value: 0.4 and parameters: {'C': 0.0012467519164939904, 'solver': 'saga'}. Best is trial 0 with value: 0.88.\n[I 2023-11-01 05:10:45,240] Trial 3 finished with value: 0.52 and parameters: {'C': 1.5852842088783042e-05, 'solver': 'lbfgs'}. Best is trial 0 with value: 0.88.\n[I 2023-11-01 05:10:45,244] Trial 4 finished with value: 0.92 and parameters: {'C': 0.04085681080455267, 'solver': 'saga'}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:45,250] Trial 5 finished with value: 0.52 and parameters: {'C': 5.5609211235353965e-05, 'solver': 'lbfgs'}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:45,256] Trial 6 finished with value: 0.8 and parameters: {'C': 0.7371318108187781, 'solver': 'lbfgs'}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:45,268] Trial 7 finished with value: 0.48 and parameters: {'C': 8.225326369398754e-05, 'solver': 'lbfgs'}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:45,276] Trial 8 finished with value: 0.88 and parameters: {'C': 4.129742498990061, 'solver': 'lbfgs'}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:45,280] Trial 9 finished with value: 0.44 and parameters: {'C': 5.869571970745492e-06, 'solver': 'saga'}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:45,281] A new study created in memory with name: no-name-a741785a-ce9c-42d9-b108-bc2d11e9ad58\n[I 2023-11-01 05:10:45,316] A new study created in memory with name: no-name-9d585a3e-337c-484d-a5cb-85857ac26cbe\n[I 2023-11-01 05:10:45,354] A new study created in memory with name: no-name-c65fb70a-521c-42de-a9b8-962c62daa548\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 75%] 009_ask_and_tell.py\n[I 2023-11-01 05:10:45,660] A new study created in memory with name: no-name-3b1dbacd-431b-4d14-8a81-50b1ef808a4f\n[I 2023-11-01 05:10:45,667] Trial 0 finished with value: 0.92 and parameters: {'C': 1.2339191565603391}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,674] Trial 1 finished with value: 0.44 and parameters: {'C': 1.5453619672208217e-07}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,680] Trial 2 finished with value: 0.44 and parameters: {'C': 9.889960100128812e-06}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,685] Trial 3 finished with value: 0.92 and parameters: {'C': 0.5733486103749144}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,692] Trial 4 finished with value: 0.44 and parameters: {'C': 3.0182675710298892e-05}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,697] Trial 5 finished with value: 0.88 and parameters: {'C': 0.014104224684309961}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,704] Trial 6 finished with value: 0.44 and parameters: {'C': 2.258883456235894e-05}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,710] Trial 7 finished with value: 0.44 and parameters: {'C': 7.428228616934172e-07}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,716] Trial 8 finished with value: 0.48 and parameters: {'C': 0.001602081741739879}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,722] Trial 9 finished with value: 0.92 and parameters: {'C': 3.569508851757337}. Best is trial 0 with value: 0.92.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 83%] 010_reuse_best_trial.py\n[I 2023-11-01 05:10:45,995] A new study created in Journal with name: example-study\n[I 2023-11-01 05:10:46,001] Trial 0 finished with value: 34.410153381868675 and parameters: {'x': 7.866016824206071}. Best is trial 0 with value: 34.410153381868675.\n[I 2023-11-01 05:10:46,005] Trial 1 finished with value: 31.580643688325605 and parameters: {'x': 7.619665798633012}. Best is trial 1 with value: 31.580643688325605.\n[I 2023-11-01 05:10:46,009] Trial 2 finished with value: 1.5599176297230128 and parameters: {'x': 3.248966624743437}. Best is trial 2 with value: 1.5599176297230128.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 92%] 011_journal_storage.py\n[I 2023-11-01 05:10:46,339] A new study created in RDB with name: test_study\n[I 2023-11-01 05:27:06,316] Trial 0 finished with value: -0.9834193696589024 and parameters: {'phi': 0.3499707267548111, 'theta': 0.1878524409215392, 'psi': -0.5675260577105363, 'x_pos': 0.21099870537360926, 'y_pos': 0.23725481821915168, 'z_hig': 3.8078162828354487}. Best is trial 0 with value: -0.9834193696589024.\n[I 2023-11-01 05:27:11,571] Trial 1 finished with value: -0.9852841041728484 and parameters: {'phi': 0.42212393265995063, 'theta': 0.18900816900102013, 'psi': -0.5939199906282602, 'x_pos': 0.3559852252545549, 'y_pos': 0.06390393833769276, 'z_hig': 2.63933079897011}. Best is trial 1 with value: -0.9852841041728484.\n[I 2023-11-01 05:27:18,746] Trial 2 finished with value: -0.9850886424480001 and parameters: {'phi': -0.6856695391930148, 'theta': -0.9387317954736119, 'psi': 0.4330005159584758, 'x_pos': 0.4936889492260561, 'y_pos': 0.44072438754187043, 'z_hig': 1.8442577911695013}. Best is trial 1 with value: -0.9852841041728484.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [100%] 012_artifact_tutorial.py\ncomputation time summary:\n - ../../tutorial/20_recipes/012_artifact_tutorial.py: 992.85 sec 0.0 MB\n - ../../tutorial/20_recipes/002_multi_objective.py: 217.68 sec 0.0 MB\n - ../../tutorial/20_recipes/008_specify_params.py: 9.54 sec 0.0 MB\n - ../../tutorial/10_key_features/005_visualization.py: 6.02 sec 0.0 MB\n - ../../tutorial/10_key_features/003_efficient_optimization_algorithms.py: 2.82 sec 0.0 MB\n - ../../tutorial/20_recipes/006_user_defined_pruner.py: 1.19 sec 0.0 MB\n - ../../tutorial/10_key_features/001_first.py: 1.19 sec 0.0 MB\n - ../../tutorial/20_recipes/001_rdb.py: 0.85 sec 0.0 MB\n - ../../tutorial/20_recipes/004_cli.py: 0.53 sec 0.0 MB\n - ../../tutorial/20_recipes/005_user_defined_sampler.py: 0.42 sec 0.0 MB\n - ../../tutorial/20_recipes/003_attributes.py: 0.34 sec 0.0 MB\n - ../../tutorial/20_recipes/009_ask_and_tell.py: 0.19 sec 0.0 MB\n - ../../tutorial/20_recipes/010_reuse_best_trial.py: 0.08 sec 0.0 MB\n - ../../tutorial/20_recipes/011_journal_storage.py: 0.02 sec 0.0 MB\n - ../../tutorial/20_recipes/007_optuna_callback.py: 0.01 sec 0.0 MB\n - ../../tutorial/10_key_features/002_configurations.py: 0.00 sec 0.0 MB\n - ../../tutorial/10_key_features/004_distributed.py: 0.00 sec 0.0 MB\nbuilding [mo]: targets for 0 po files that are out of date\nwriting output... \nbuilding [html]: targets for 25 source files that are out of date\nupdating environment: [new config] 198 added, 0 changed, 0 removed\n\u001b[2Kreading sources... 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[ 49%] reference/generated/optuna.study.delete_study\n\u001b[2Kreading sources... [ 50%] reference/generated/optuna.study.get_all_study_names\n\u001b[2Kreading sources... [ 51%] reference/generated/optuna.study.get_all_study_summaries\n\u001b[2Kreading sources... [ 51%] reference/generated/optuna.study.load_study\n\u001b[2Kreading sources... [ 52%] reference/generated/optuna.terminator.BaseErrorEvaluator\n\u001b[2Kreading sources... [ 52%] reference/generated/optuna.terminator.BaseImprovementEvaluator\n\u001b[2Kreading sources... [ 53%] reference/generated/optuna.terminator.BaseTerminator\n\u001b[2Kreading sources... [ 53%] reference/generated/optuna.terminator.BestValueStagnationEvaluator\n\u001b[2Kreading sources... [ 54%] reference/generated/optuna.terminator.CrossValidationErrorEvaluator\n\u001b[2Kreading sources... [ 54%] reference/generated/optuna.terminator.RegretBoundEvaluator\n\u001b[2Kreading sources... [ 55%] reference/generated/optuna.terminator.StaticErrorEvaluator\n\u001b[2Kreading sources... [ 55%] reference/generated/optuna.terminator.Terminator\n\u001b[2Kreading sources... [ 56%] reference/generated/optuna.terminator.TerminatorCallback\n\u001b[2Kreading sources... [ 56%] reference/generated/optuna.terminator.report_cross_validation_scores\n\u001b[2Kreading sources... [ 57%] reference/generated/optuna.trial.FixedTrial\n\u001b[2Kreading sources... [ 57%] reference/generated/optuna.trial.FrozenTrial\n\u001b[2Kreading sources... [ 58%] reference/generated/optuna.trial.Trial\n\u001b[2Kreading sources... [ 58%] reference/generated/optuna.trial.TrialState\n\u001b[2Kreading sources... [ 59%] reference/generated/optuna.trial.create_trial\n\u001b[2Kreading sources... [ 59%] reference/importance\n\u001b[2Kreading sources... [ 60%] reference/index\n\u001b[2Kreading sources... [ 60%] reference/integration\n\u001b[2Kreading sources... [ 61%] reference/logging\n\u001b[2Kreading sources... [ 61%] reference/optuna\n\u001b[2Kreading sources... [ 62%] reference/pruners\n\u001b[2Kreading sources... [ 62%] reference/samplers/generated/optuna.samplers.BaseSampler\n\u001b[2Kreading sources... [ 63%] reference/samplers/generated/optuna.samplers.BruteForceSampler\n\u001b[2Kreading sources... [ 63%] reference/samplers/generated/optuna.samplers.CmaEsSampler\n\u001b[2Kreading sources... [ 64%] reference/samplers/generated/optuna.samplers.GridSampler\n\u001b[2Kreading sources... [ 64%] reference/samplers/generated/optuna.samplers.IntersectionSearchSpace\n\u001b[2Kreading sources... [ 65%] reference/samplers/generated/optuna.samplers.NSGAIIISampler\n\u001b[2Kreading sources... [ 65%] reference/samplers/generated/optuna.samplers.NSGAIISampler\n\u001b[2Kreading sources... [ 66%] reference/samplers/generated/optuna.samplers.PartialFixedSampler\n\u001b[2Kreading sources... [ 66%] reference/samplers/generated/optuna.samplers.QMCSampler\n\u001b[2Kreading sources... [ 67%] reference/samplers/generated/optuna.samplers.RandomSampler\n\u001b[2Kreading sources... [ 67%] reference/samplers/generated/optuna.samplers.TPESampler\n\u001b[2Kreading sources... [ 68%] reference/samplers/generated/optuna.samplers.intersection_search_space\n\u001b[2Kreading sources... [ 68%] reference/samplers/generated/optuna.samplers.nsgaii.BLXAlphaCrossover\n\u001b[2Kreading sources... [ 69%] reference/samplers/generated/optuna.samplers.nsgaii.BaseCrossover\n\u001b[2Kreading sources... [ 69%] reference/samplers/generated/optuna.samplers.nsgaii.SBXCrossover\n\u001b[2Kreading sources... [ 70%] reference/samplers/generated/optuna.samplers.nsgaii.SPXCrossover\n\u001b[2Kreading sources... [ 70%] reference/samplers/generated/optuna.samplers.nsgaii.UNDXCrossover\n\u001b[2Kreading sources... [ 71%] reference/samplers/generated/optuna.samplers.nsgaii.UniformCrossover\n\u001b[2Kreading sources... [ 71%] reference/samplers/generated/optuna.samplers.nsgaii.VSBXCrossover\n\u001b[2Kreading sources... [ 72%] reference/samplers/index\n\u001b[2Kreading sources... [ 72%] reference/samplers/nsgaii\n\u001b[2Kreading sources... [ 73%] reference/search_space\n\u001b[2Kreading sources... [ 73%] reference/storages\n\u001b[2Kreading sources... [ 74%] reference/study\n\u001b[2Kreading sources... [ 74%] reference/terminator\n\u001b[2Kreading sources... [ 75%] reference/trial\n\u001b[2Kreading sources... [ 75%] reference/visualization/generated/optuna.visualization.is_available\n\u001b[2Kreading sources... [ 76%] reference/visualization/generated/optuna.visualization.matplotlib.is_available\n[I 2023-11-01 05:27:30,311] A new study created in memory with name: no-name-ba1d20e0-3593-4ef8-a60d-e4256db8f994\n[I 2023-11-01 05:27:30,313] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:27:30,313] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,314] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,315] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,316] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,317] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,318] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,318] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,319] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,320] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,327] Trial 10 finished with value: 734.0822030665411 and parameters: {'x': -27.075490818571343, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,333] Trial 11 finished with value: 73.65352512080509 and parameters: {'x': 8.523703720848413, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,340] Trial 12 finished with value: 772.5301395134916 and parameters: {'x': -27.776431367500965, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,346] Trial 13 finished with value: 144.99637750321006 and parameters: {'x': 11.999849061684486, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,352] Trial 14 finished with value: 58.008999214248114 and parameters: {'x': -7.550430399271827, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,358] Trial 15 finished with value: 1813.5559443721502 and parameters: {'x': -42.574122943076, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,367] Trial 16 finished with value: 99.03717560874351 and parameters: {'x': -10.001858607716043, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,373] Trial 17 finished with value: 9671.11610067409 and parameters: {'x': 98.33674847519664, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,380] Trial 18 finished with value: 731.8040203733691 and parameters: {'x': 27.03338714207617, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,386] Trial 19 finished with value: 1940.8126679916945 and parameters: {'x': -44.06600354004995, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,393] Trial 20 finished with value: 22.671858597340137 and parameters: {'x': -4.6553043506671115, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,400] Trial 21 finished with value: 36.2737132672693 and parameters: {'x': -5.939167725133657, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,406] Trial 22 finished with value: 467.498830386074 and parameters: {'x': 21.598583990300707, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,413] Trial 23 finished with value: 57.683827568626214 and parameters: {'x': -7.5288662870731216, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,420] Trial 24 finished with value: 14.559465794510222 and parameters: {'x': 3.6823179920411846, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,426] Trial 25 finished with value: 1454.2889615335619 and parameters: {'x': 38.1220272484762, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,433] Trial 26 finished with value: 210.54412862953976 and parameters: {'x': 14.475639144077189, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,439] Trial 27 finished with value: 3133.9754124740953 and parameters: {'x': 55.97298823963301, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,446] Trial 28 finished with value: 583.7660288159207 and parameters: {'x': -24.181936002229445, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,452] Trial 29 finished with value: 31.445003865150788 and parameters: {'x': 5.607584494695625, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n<string>:14: ExperimentalWarning:\n\nplot_contour is experimental (supported from v2.2.0). The interface can change in the future.\n\n[W 2023-11-01 05:27:30,453] Output figures of this Matplotlib-based `plot_contour` function would be different from those of the Plotly-based `plot_contour`.\n\u001b[2Kreading sources... [ 76%] reference/visualization/generated/optuna.visualization.matplotlib.plot_contour\n[I 2023-11-01 05:27:30,838] A new study created in memory with name: x=[0,5), y=[0,5)\n[I 2023-11-01 05:27:30,840] Trial 0 finished with value: 9.098775784310966 and parameters: {'x': 3.85660321633373, 'y': 0.1037597467970075}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:27:30,840] Trial 1 finished with value: 11.468279264943558 and parameters: {'x': 3.168241174631377, 'y': 3.744019412693059}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:27:30,841] Trial 2 finished with value: 8.26591744896594 and parameters: {'x': 2.4925350615129522, 'y': 1.1239832276542383}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:27:30,842] Trial 3 finished with value: 9.307353958700034 and parameters: {'x': 0.9903143237981199, 'y': 3.8026535609947936}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:27:30,843] Trial 4 finished with value: 4.4107752374673055 and parameters: {'x': 0.8455541828126772, 'y': 0.44169907087005134}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,844] Trial 5 finished with value: 13.32581053856714 and parameters: {'x': 3.426799091838986, 'y': 4.766966730974683}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,845] Trial 6 finished with value: 7.762294992698612 and parameters: {'x': 0.019741331639572257, 'y': 2.560961316928883}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,846] Trial 7 finished with value: 10.462168809225723 and parameters: {'x': 4.063104808260568, 'y': 3.0626303341469407}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,846] Trial 8 finished with value: 10.766844213449511 and parameters: {'x': 3.6087765871589976, 'y': 1.4593803408531658}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,847] Trial 9 finished with value: 13.513529451283143 and parameters: {'x': 4.588870612564717, 'y': 3.572878916988453}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,848] Trial 10 finished with value: 8.477722801529927 and parameters: {'x': 2.7127218400563065, 'y': 0.7108502380076348}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,849] Trial 11 finished with value: 10.129432776476957 and parameters: {'x': 1.866703800257346, 'y': 3.3706680753317264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,850] Trial 12 finished with value: 8.366790606869595 and parameters: {'x': 2.2091658721149803, 'y': 2.1700699666664685}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,851] Trial 13 finished with value: 10.416955768145217 and parameters: {'x': 3.088834892346586, 'y': 2.5656912127719544}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,851] Trial 14 finished with value: 10.387909622465159 and parameters: {'x': 3.251985909657336, 'y': 3.005194767022722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,852] Trial 15 finished with value: 11.459718019586177 and parameters: {'x': 4.026115984163733, 'y': 2.608235761968171}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,853] Trial 16 finished with value: 12.18680554317172 and parameters: {'x': 4.5432444040433415, 'y': 1.5961804449427264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,854] Trial 17 finished with value: 6.324395711691771 and parameters: {'x': 0.45229674635453687, 'y': 1.5035002831810167}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,856] Trial 18 finished with value: 10.780656392800164 and parameters: {'x': 0.5699218093177488, 'y': 4.143406631538383}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,856] Trial 19 finished with value: 8.416640220838426 and parameters: {'x': 0.23448159694624882, 'y': 3.1314357415569627}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,859] Trial 20 finished with value: 11.302576421368904 and parameters: {'x': 2.737930779596218, 'y': 4.096434978350343}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,860] Trial 21 finished with value: 10.499563087675314 and parameters: {'x': 0.9947376983940615, 'y': 4.284251512288666}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,861] Trial 22 finished with value: 10.513666838860214 and parameters: {'x': 1.7582631971604394, 'y': 3.773238457649286}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,861] Trial 23 finished with value: 11.97926994777533 and parameters: {'x': 1.4798085343983935, 'y': 4.419682397805931}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,862] Trial 24 finished with value: 6.380894606936472 and parameters: {'x': 1.627558189161244, 'y': 0.8250794885957424}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,863] Trial 25 finished with value: 6.685983992257508 and parameters: {'x': 1.9626462197329364, 'y': 0.4673018727932515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,864] Trial 26 finished with value: 10.125719905741311 and parameters: {'x': 4.105528289184642, 'y': 0.7557600982128193}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,865] Trial 27 finished with value: 11.573099481049313 and parameters: {'x': 1.920572243460998, 'y': 4.721303561194006}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,866] Trial 28 finished with value: 12.011941244892594 and parameters: {'x': 4.938127374509361, 'y': 2.2815227354739203}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,867] Trial 29 finished with value: 10.481651724828257 and parameters: {'x': 4.130614219213699, 'y': 1.2568706710352968}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,868] Trial 30 finished with value: 12.415913516504961 and parameters: {'x': 2.9868582411544216, 'y': 4.514158801658137}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,868] Trial 31 finished with value: 10.053592439013652 and parameters: {'x': 2.6727897440090755, 'y': 2.9510068149271147}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,869] Trial 32 finished with value: 5.886579856572837 and parameters: {'x': 0.19640883612693671, 'y': 1.7859087931726814}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,870] Trial 33 finished with value: 6.310127074999574 and parameters: {'x': 0.3980654507798209, 'y': 1.5272995917140912}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,871] Trial 34 finished with value: 10.63044720131769 and parameters: {'x': 1.65359655991066, 'y': 3.8691514810529792}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,872] Trial 35 finished with value: 6.399093285230432 and parameters: {'x': 0.19979604344988633, 'y': 2.1474608921581915}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,873] Trial 36 finished with value: 9.82714713251584 and parameters: {'x': 1.5746343592134415, 'y': 3.1824557153377233}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,874] Trial 37 finished with value: 6.040622694875182 and parameters: {'x': 1.7317357504001651, 'y': 0.2154867810249722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,875] Trial 38 finished with value: 13.124359919044599 and parameters: {'x': 4.39957587258958, 'y': 3.816202935718405}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,876] Trial 39 finished with value: 11.621017540390913 and parameters: {'x': 4.390483213624291, 'y': 2.087545719196335}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,876] Trial 40 finished with value: 10.273148823731859 and parameters: {'x': 3.027887821968784, 'y': 2.567333137041442}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,877] Trial 41 finished with value: 8.74724695064551 and parameters: {'x': 2.989183239814868, 'y': 1.3110783056597515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,878] Trial 42 finished with value: 5.703235939620228 and parameters: {'x': 1.504356544703536, 'y': 0.12699891025053034}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,879] Trial 43 finished with value: 6.8281049033658086 and parameters: {'x': 1.5153128032551737, 'y': 1.2103793770176368}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,880] Trial 44 finished with value: 9.889991012666522 and parameters: {'x': 2.787890943313221, 'y': 2.827535099440838}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,881] Trial 45 finished with value: 8.809099112861492 and parameters: {'x': 2.375661237075253, 'y': 1.4639898814475454}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,882] Trial 46 finished with value: 11.529514400367189 and parameters: {'x': 0.32125530347412223, 'y': 4.894095728788213}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,882] Trial 47 finished with value: 9.116346691166768 and parameters: {'x': 1.6985392181893184, 'y': 2.4752431544122717}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,883] Trial 48 finished with value: 11.665729583461987 and parameters: {'x': 4.885403629613409, 'y': 2.2038691245033326}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,884] Trial 49 finished with value: 9.283138260008634 and parameters: {'x': 1.591364027394756, 'y': 2.5989849293769005}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,885] Trial 50 finished with value: 11.688309982114646 and parameters: {'x': 2.8906821494123376, 'y': 4.269668752502432}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,886] Trial 51 finished with value: 7.7554312065139825 and parameters: {'x': 0.34048636768975016, 'y': 2.3226540388966628}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,887] Trial 52 finished with value: 12.275135396487016 and parameters: {'x': 3.909745593095742, 'y': 3.5930140519112514}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,888] Trial 53 finished with value: 7.599136984880452 and parameters: {'x': 2.9301099002658795, 'y': 0.18547206617203937}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,888] Trial 54 finished with value: 8.971518754151079 and parameters: {'x': 1.7532819564156648, 'y': 2.815953422463725}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,889] Trial 55 finished with value: 9.191843219831416 and parameters: {'x': 1.4986493621228143, 'y': 2.5616707663677465}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,890] Trial 56 finished with value: 9.633721562166217 and parameters: {'x': 3.3673346264236024, 'y': 0.7959686668904675}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,891] Trial 57 finished with value: 6.186229741277476 and parameters: {'x': 0.2523883507699881, 'y': 1.6890794353233973}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,892] Trial 58 finished with value: 4.552022343284264 and parameters: {'x': 0.5403188638972628, 'y': 0.8945140428554521}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,893] Trial 59 finished with value: 11.758020264004587 and parameters: {'x': 4.429135480838529, 'y': 1.826824856070579}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,894] Trial 60 finished with value: 9.65103717665648 and parameters: {'x': 1.0938467458976837, 'y': 3.762480851093014}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,895] Trial 61 finished with value: 10.404668371552354 and parameters: {'x': 0.5343979219678457, 'y': 3.723016203877803}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,895] Trial 62 finished with value: 9.807137735649274 and parameters: {'x': 2.3489264672024723, 'y': 2.991278356395546}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,896] Trial 63 finished with value: 4.297890789772584 and parameters: {'x': 0.7381009614264883, 'y': 0.9201741104657563}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,897] Trial 64 finished with value: 8.956435845330386 and parameters: {'x': 3.2253606323412094, 'y': 0.24314003131702788}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,898] Trial 65 finished with value: 8.694250835326496 and parameters: {'x': 1.2430625390138472, 'y': 2.7120425811400213}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,899] Trial 66 finished with value: 5.986545159935034 and parameters: {'x': 1.133866716350046, 'y': 1.9070576745231604}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,900] Trial 67 finished with value: 14.297386483409563 and parameters: {'x': 4.611163934517731, 'y': 4.626784364338884}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,900] Trial 68 finished with value: 10.180452207698272 and parameters: {'x': 2.8337496228749997, 'y': 2.667354424945013}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,901] Trial 69 finished with value: 10.407363938709986 and parameters: {'x': 0.07430012316614054, 'y': 4.889496317010025}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,902] Trial 70 finished with value: 10.440149099446987 and parameters: {'x': 2.8651445201659294, 'y': 3.95878498138312}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,905] Trial 71 finished with value: 12.32523091547919 and parameters: {'x': 2.8077868013818446, 'y': 4.3866762078246735}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,906] Trial 72 finished with value: 11.31269157398866 and parameters: {'x': 2.9209791426533775, 'y': 3.544249131844776}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,906] Trial 73 finished with value: 6.868040784289896 and parameters: {'x': 0.7426672567822928, 'y': 2.142253694839482}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,907] Trial 74 finished with value: 10.168253595722678 and parameters: {'x': 3.4694503317120584, 'y': 0.5230987226142658}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,908] Trial 75 finished with value: 6.875279830510534 and parameters: {'x': 2.1980261888729524, 'y': 0.8310107385226684}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,909] Trial 76 finished with value: 11.669355532080532 and parameters: {'x': 2.5348931463202367, 'y': 4.095179320681063}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,910] Trial 77 finished with value: 10.375729066395554 and parameters: {'x': 0.45053367362219265, 'y': 4.000343753470726}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,911] Trial 78 finished with value: 9.47494195262567 and parameters: {'x': 2.8256317697890228, 'y': 2.946738558403037}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,911] Trial 79 finished with value: 6.429800222532773 and parameters: {'x': 0.9905032860813445, 'y': 2.1805912766941713}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,912] Trial 80 finished with value: 5.784554009886445 and parameters: {'x': 1.4795188111041868, 'y': 0.18778837970838846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,913] Trial 81 finished with value: 6.944951718546044 and parameters: {'x': 0.15342420186473138, 'y': 2.2655250010061674}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,914] Trial 82 finished with value: 11.32465496841092 and parameters: {'x': 3.7243203847503388, 'y': 2.7864770311819846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,915] Trial 83 finished with value: 5.814616800694608 and parameters: {'x': 1.9255679978274327, 'y': 0.8403639876630931}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,916] Trial 84 finished with value: 11.092120639966868 and parameters: {'x': 4.1913066035184645, 'y': 2.995258987307463}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,917] Trial 85 finished with value: 12.30613781768253 and parameters: {'x': 3.9135740912248558, 'y': 4.242545909473573}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,918] Trial 86 finished with value: 10.276422024397286 and parameters: {'x': 3.0158148793101742, 'y': 3.9053030864514104}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,918] Trial 87 finished with value: 7.479769890494953 and parameters: {'x': 3.0786843801678465, 'y': 0.10582595586077492}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,919] Trial 88 finished with value: 9.671206282931806 and parameters: {'x': 3.752323052437455, 'y': 0.8802106664184695}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,920] Trial 89 finished with value: 9.869658626214864 and parameters: {'x': 2.292571031186365, 'y': 2.5656135386612258}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,921] Trial 90 finished with value: 11.964499715377078 and parameters: {'x': 2.420104451434129, 'y': 4.2219289726967375}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,922] Trial 91 finished with value: 2.826913907516392 and parameters: {'x': 0.874069474110597, 'y': 0.0731743755162495}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,923] Trial 92 finished with value: 12.799381162755227 and parameters: {'x': 4.24382035905616, 'y': 3.7133728864971705}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,924] Trial 93 finished with value: 8.415639605279267 and parameters: {'x': 2.283487676600861, 'y': 2.084492035246889}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,925] Trial 94 finished with value: 6.648507949382903 and parameters: {'x': 0.5836475547348163, 'y': 1.6933956649466986}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,926] Trial 95 finished with value: 10.321671031403987 and parameters: {'x': 0.4732952037182653, 'y': 3.579154363756571}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,926] Trial 96 finished with value: 4.476198346748607 and parameters: {'x': 0.3854270220801931, 'y': 1.0297512918448626}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,927] Trial 97 finished with value: 9.179908484929722 and parameters: {'x': 2.868881157256011, 'y': 1.4691577760188401}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,928] Trial 98 finished with value: 11.609756716580515 and parameters: {'x': 3.278633713572991, 'y': 4.017841738716098}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,929] Trial 99 finished with value: 6.625902168595072 and parameters: {'x': 1.7560675149820437, 'y': 0.4672018847188353}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,930] Trial 100 finished with value: 11.261545077172835 and parameters: {'x': 4.066580418354021, 'y': 3.9243335913847344}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,931] Trial 101 finished with value: 11.190968700537157 and parameters: {'x': 1.967095562182577, 'y': 4.322395969009766}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,932] Trial 102 finished with value: 6.911109890757974 and parameters: {'x': 1.9201538405786622, 'y': 1.2865144360250191}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,932] Trial 103 finished with value: 12.490683781539499 and parameters: {'x': 4.1470095991361795, 'y': 3.681913519192817}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,933] Trial 104 finished with value: 10.848166908046393 and parameters: {'x': 2.538004540274797, 'y': 3.2216330752070848}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,934] Trial 105 finished with value: 11.32542096737529 and parameters: {'x': 1.0659328268932406, 'y': 4.478544743517791}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,935] Trial 106 finished with value: 12.145433872665942 and parameters: {'x': 4.829731257539075, 'y': 1.5850078115289405}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,936] Trial 107 finished with value: 11.786981252421768 and parameters: {'x': 4.327763091136416, 'y': 1.5514185347005949}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,937] Trial 108 finished with value: 2.0472944535777273 and parameters: {'x': 0.12631972715908546, 'y': 0.24597578886864313}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,938] Trial 109 finished with value: 4.145224959722373 and parameters: {'x': 0.9231341900713275, 'y': 0.34516670808627026}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,939] Trial 110 finished with value: 11.931360118539573 and parameters: {'x': 1.2873771170227155, 'y': 4.567908657853373}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,940] Trial 111 finished with value: 7.772705651810355 and parameters: {'x': 2.2892475598720523, 'y': 0.6510589473979744}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,941] Trial 112 finished with value: 9.524332905886311 and parameters: {'x': 4.0494583270008935, 'y': 2.01734920240333}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,942] Trial 113 finished with value: 10.520695532088595 and parameters: {'x': 0.12216322491582055, 'y': 4.284155213138763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,943] Trial 114 finished with value: 10.597438973670814 and parameters: {'x': 1.371474095076981, 'y': 3.5455298203599526}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,944] Trial 115 finished with value: 10.120097947889937 and parameters: {'x': 1.7788617141183165, 'y': 3.971545309132671}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,945] Trial 116 finished with value: 11.960450407585382 and parameters: {'x': 4.223094305719252, 'y': 2.690737585699792}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,946] Trial 117 finished with value: 8.587748682117635 and parameters: {'x': 2.795432582016292, 'y': 0.6125499071870993}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,947] Trial 118 finished with value: 7.369283296210424 and parameters: {'x': 1.8882095928704012, 'y': 2.1437366456452134}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,948] Trial 119 finished with value: 12.663827787679372 and parameters: {'x': 2.556043231427327, 'y': 4.458812849678472}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,948] Trial 120 finished with value: 7.650631541913702 and parameters: {'x': 1.5010530579700654, 'y': 1.9822093943922525}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,949] Trial 121 finished with value: 9.498157519309544 and parameters: {'x': 3.9663661651380706, 'y': 2.061380386767003}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,950] Trial 122 finished with value: 10.019682178888301 and parameters: {'x': 0.9243377499545619, 'y': 4.201236580441953}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,951] Trial 123 finished with value: 8.237633967855434 and parameters: {'x': 2.8463569985064425, 'y': 0.3002510277540982}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,952] Trial 124 finished with value: 10.781591638486919 and parameters: {'x': 4.944584870981005, 'y': 1.1439116660098265}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,953] Trial 125 finished with value: 8.621572297432854 and parameters: {'x': 3.0735085649008482, 'y': 1.8401334041772972}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,954] Trial 126 finished with value: 10.713009182969788 and parameters: {'x': 4.013879681741232, 'y': 3.1378092635281445}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,955] Trial 127 finished with value: 10.98074403397134 and parameters: {'x': 4.106082380991301, 'y': 1.441265693961082}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,956] Trial 128 finished with value: 9.024647633357716 and parameters: {'x': 1.3739756579638436, 'y': 3.00525945566255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,956] Trial 129 finished with value: 13.49082379516863 and parameters: {'x': 4.692570986046688, 'y': 3.5364815467071864}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,957] Trial 130 finished with value: 5.874821960577492 and parameters: {'x': 1.3170158247837875, 'y': 0.6116796055750251}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,958] Trial 131 finished with value: 12.140532436293423 and parameters: {'x': 2.2936211459493183, 'y': 4.8740624969833455}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,959] Trial 132 finished with value: 9.508596165882706 and parameters: {'x': 3.4028718722222235, 'y': 0.9662686614323052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,960] Trial 133 finished with value: 11.43232227635066 and parameters: {'x': 0.233696135806975, 'y': 4.763219683853119}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,961] Trial 134 finished with value: 12.909468873966272 and parameters: {'x': 4.2932450773421325, 'y': 4.139515878742856}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,962] Trial 135 finished with value: 11.717204018330282 and parameters: {'x': 4.819502614191414, 'y': 2.994682245363374}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,963] Trial 136 finished with value: 11.730163602366163 and parameters: {'x': 4.654579179238757, 'y': 0.733844071393634}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,964] Trial 137 finished with value: 6.653881018965677 and parameters: {'x': 0.569801543773461, 'y': 1.8601445108691723}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,965] Trial 138 finished with value: 10.741151207828954 and parameters: {'x': 3.832800632854534, 'y': 1.6057101573247974}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,966] Trial 139 finished with value: 8.041035108445248 and parameters: {'x': 3.1901754067231334, 'y': 0.04610550834939442}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,967] Trial 140 finished with value: 9.248413466368948 and parameters: {'x': 2.71732519237458, 'y': 1.6887732344259176}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,967] Trial 141 finished with value: 14.219077219048492 and parameters: {'x': 4.490121544247577, 'y': 4.703535192416116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,968] Trial 142 finished with value: 6.631265309603911 and parameters: {'x': 1.920609245767847, 'y': 1.9805889617029848}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,969] Trial 143 finished with value: 11.598473392731933 and parameters: {'x': 4.48639972409674, 'y': 0.2941118405092352}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,970] Trial 144 finished with value: 6.694767599306697 and parameters: {'x': 2.0268964421478453, 'y': 0.6508777031545621}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,971] Trial 145 finished with value: 10.288922686627453 and parameters: {'x': 0.4348470446230879, 'y': 3.919821434794939}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,972] Trial 146 finished with value: 9.21998684759554 and parameters: {'x': 1.5228667767331006, 'y': 2.9202793627763453}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,973] Trial 147 finished with value: 13.970932382384035 and parameters: {'x': 4.392330892133315, 'y': 4.403960303067703}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,973] Trial 148 finished with value: 10.220646476518713 and parameters: {'x': 3.004771036228382, 'y': 3.2261387284201657}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,974] Trial 149 finished with value: 6.025594798063533 and parameters: {'x': 0.28314101419053106, 'y': 1.487420484879609}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,975] Trial 150 finished with value: 9.686112989082387 and parameters: {'x': 3.458873037882333, 'y': 0.9451472642781766}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,976] Trial 151 finished with value: 11.477795880312842 and parameters: {'x': 4.015037683584489, 'y': 2.5738187492835642}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,977] Trial 152 finished with value: 9.536662274540596 and parameters: {'x': 3.7864302015780735, 'y': 0.8889437430854896}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,978] Trial 153 finished with value: 8.138475011363663 and parameters: {'x': 0.41310145647746377, 'y': 2.4103598486142923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,979] Trial 154 finished with value: 11.493703576527055 and parameters: {'x': 2.6442693968106306, 'y': 3.481541359044985}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,980] Trial 155 finished with value: 9.341702473870399 and parameters: {'x': 1.023808070150981, 'y': 3.356861649786817}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,980] Trial 156 finished with value: 9.45980967724605 and parameters: {'x': 3.966346626632103, 'y': 0.20868906258480535}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,981] Trial 157 finished with value: 13.378541634779003 and parameters: {'x': 4.816787528607454, 'y': 4.876963585866664}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,982] Trial 158 finished with value: 8.398878019226897 and parameters: {'x': 2.7533039211090755, 'y': 0.3245349120330482}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,983] Trial 159 finished with value: 5.671727248950585 and parameters: {'x': 1.7261839493092874, 'y': 0.1021498440574764}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,984] Trial 160 finished with value: 8.900670733919403 and parameters: {'x': 4.0042590489180805, 'y': 1.039635490660757}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,985] Trial 161 finished with value: 10.104130916382784 and parameters: {'x': 0.7162625545259099, 'y': 3.4994699226462638}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,986] Trial 162 finished with value: 5.315897263639183 and parameters: {'x': 0.28974903005027364, 'y': 1.2830378342449826}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,987] Trial 163 finished with value: 12.628574431426383 and parameters: {'x': 2.551658922744225, 'y': 4.97629392410128}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,988] Trial 164 finished with value: 7.447601498443641 and parameters: {'x': 0.7325783965840083, 'y': 2.247573887993382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,989] Trial 165 finished with value: 8.717294962338975 and parameters: {'x': 3.007201880914031, 'y': 0.48636247069940075}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,989] Trial 166 finished with value: 10.747736503597993 and parameters: {'x': 1.4436744027098762, 'y': 3.603999509537035}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,990] Trial 167 finished with value: 11.672696062044226 and parameters: {'x': 2.754030320204744, 'y': 4.192885075269436}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,991] Trial 168 finished with value: 7.3765020440620965 and parameters: {'x': 2.901656757339883, 'y': 0.9228586830481306}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,992] Trial 169 finished with value: 12.413208648223295 and parameters: {'x': 3.077510585292704, 'y': 4.434775442343052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,993] Trial 170 finished with value: 10.541150607138487 and parameters: {'x': 2.5839463891022096, 'y': 3.130718345632117}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,993] Trial 171 finished with value: 12.756318698680404 and parameters: {'x': 2.525295587782306, 'y': 4.5483128829327715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,994] Trial 172 finished with value: 9.05472987128604 and parameters: {'x': 2.0665232778228515, 'y': 2.677343581458615}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,995] Trial 173 finished with value: 6.621158640130886 and parameters: {'x': 1.713215627822633, 'y': 0.6478838857163005}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,996] Trial 174 finished with value: 13.166998514264037 and parameters: {'x': 3.3141087569999437, 'y': 4.678350009978248}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,997] Trial 175 finished with value: 11.37039215348121 and parameters: {'x': 3.06364590964527, 'y': 4.213692497248822}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,998] Trial 176 finished with value: 11.421697035283117 and parameters: {'x': 1.0895421810142136, 'y': 4.515858698649607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,998] Trial 177 finished with value: 3.399518378372946 and parameters: {'x': 0.04884988559842873, 'y': 1.1290636333171737}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,999] Trial 178 finished with value: 11.790711998551938 and parameters: {'x': 0.6602756363599344, 'y': 4.537714732580255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,000] Trial 179 finished with value: 12.457058855171512 and parameters: {'x': 4.5511531832988155, 'y': 2.9052895356745245}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,001] Trial 180 finished with value: 4.270689977380076 and parameters: {'x': 0.4374652626195269, 'y': 0.5843971978719908}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,002] Trial 181 finished with value: 12.240165558984787 and parameters: {'x': 3.8553562765392724, 'y': 3.6639763439826103}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,003] Trial 182 finished with value: 6.590515277343432 and parameters: {'x': 0.435641784662561, 'y': 1.7873159905994234}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,004] Trial 183 finished with value: 10.17214430542262 and parameters: {'x': 3.8660581087613077, 'y': 0.6573580080587804}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,005] Trial 184 finished with value: 11.43917166431362 and parameters: {'x': 2.68916216926987, 'y': 3.7736178311347457}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,006] Trial 185 finished with value: 8.969937960798413 and parameters: {'x': 1.3626308799556757, 'y': 2.8325849795366413}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,007] Trial 186 finished with value: 10.041893106125363 and parameters: {'x': 2.3834248535833096, 'y': 2.7831034627091973}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,008] Trial 187 finished with value: 10.826547273250752 and parameters: {'x': 2.2036852870690056, 'y': 3.4686868213095585}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,009] Trial 188 finished with value: 12.426924191010318 and parameters: {'x': 3.5911859015982364, 'y': 3.7819117894779923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,009] Trial 189 finished with value: 9.532608489210268 and parameters: {'x': 0.18661004505669543, 'y': 3.394176984464907}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,010] Trial 190 finished with value: 8.135150111944762 and parameters: {'x': 2.386104004539672, 'y': 0.5008569383546607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,011] Trial 191 finished with value: 11.234871968202231 and parameters: {'x': 3.070981168573452, 'y': 4.18957254483098}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,012] Trial 192 finished with value: 10.837341646724049 and parameters: {'x': 3.6694701882941674, 'y': 1.6078279135595364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,013] Trial 193 finished with value: 2.853729868628715 and parameters: {'x': 0.33927655543450175, 'y': 0.1866511853213626}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,014] Trial 194 finished with value: 8.102320702453188 and parameters: {'x': 2.7956265198024104, 'y': 0.8042634963427392}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,015] Trial 195 finished with value: 6.2265106786220485 and parameters: {'x': 1.3394409285104592, 'y': 1.1785597821799847}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,015] Trial 196 finished with value: 3.2200767735665927 and parameters: {'x': 0.0967373080891365, 'y': 0.7584321219748957}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,016] Trial 197 finished with value: 10.792978685682154 and parameters: {'x': 0.1695125656628088, 'y': 4.909174290439391}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,017] Trial 198 finished with value: 10.474479619963939 and parameters: {'x': 1.8024265507702935, 'y': 4.127322642810085}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,018] Trial 199 finished with value: 7.000149994893448 and parameters: {'x': 2.0611870425872763, 'y': 1.2658957315496995}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,019] Trial 200 finished with value: 9.720250252035754 and parameters: {'x': 1.1835543824008021, 'y': 3.865577996383569}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,020] Trial 201 finished with value: 12.227465780083314 and parameters: {'x': 3.3562845256281584, 'y': 3.531654426003335}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,021] Trial 202 finished with value: 12.210582618377428 and parameters: {'x': 4.265777065952011, 'y': 2.6102478341800395}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,022] Trial 203 finished with value: 9.417005707712555 and parameters: {'x': 2.2138482666072563, 'y': 2.7687422062775187}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,022] Trial 204 finished with value: 11.469682332813566 and parameters: {'x': 3.25997424203055, 'y': 3.942769372376201}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,023] Trial 205 finished with value: 12.079734998646657 and parameters: {'x': 4.461347258463439, 'y': 1.5455257933952686}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,024] Trial 206 finished with value: 10.242782580711673 and parameters: {'x': 0.6780488613353464, 'y': 3.7546332592209364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,025] Trial 207 finished with value: 11.349746970151045 and parameters: {'x': 2.634166107685379, 'y': 3.9236929038023707}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,026] Trial 208 finished with value: 10.85409333443086 and parameters: {'x': 2.1496305142828613, 'y': 4.19423293806763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,027] Trial 209 finished with value: 8.748226607352638 and parameters: {'x': 2.6867701271181477, 'y': 1.2521196657508715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,028] Trial 210 finished with value: 3.6675219100206 and parameters: {'x': 0.2944700572038689, 'y': 0.4597464245382382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,029] Trial 211 finished with value: 6.733554910774435 and parameters: {'x': 0.8709997157072319, 'y': 2.1962717529913767}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,030] Trial 212 finished with value: 13.275572772621532 and parameters: {'x': 4.054671125375529, 'y': 4.552010618031673}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,031] Trial 213 finished with value: 9.156372510625387 and parameters: {'x': 2.8804535600599386, 'y': 1.455772148901746}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,032] Trial 214 finished with value: 11.053685497303166 and parameters: {'x': 3.258931858906078, 'y': 3.1896035037778403}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,033] Trial 215 finished with value: 12.688867058298401 and parameters: {'x': 2.5178736985866528, 'y': 4.827763578108981}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,034] Trial 216 finished with value: 13.143915044023823 and parameters: {'x': 4.033455748052451, 'y': 4.642596782018086}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,035] Trial 217 finished with value: 11.501118854064435 and parameters: {'x': 3.0696756333221895, 'y': 4.910019581715506}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,036] Trial 218 finished with value: 9.618849650879131 and parameters: {'x': 3.574939779226631, 'y': 0.043296357086455295}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,037] Trial 219 finished with value: 11.337201623088333 and parameters: {'x': 1.4407279049690558, 'y': 4.206993287509106}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,038] Trial 220 finished with value: 6.882791405849485 and parameters: {'x': 2.215885435136737, 'y': 0.8652486173830182}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,039] Trial 221 finished with value: 10.356085023005411 and parameters: {'x': 0.5726355611313177, 'y': 3.9894029801061537}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,040] Trial 222 finished with value: 10.902930543766338 and parameters: {'x': 3.244525757228069, 'y': 2.50872999073498}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,040] Trial 223 finished with value: 9.72674798257857 and parameters: {'x': 1.428201041160826, 'y': 3.1834791424269584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,041] Trial 224 finished with value: 8.999635175804276 and parameters: {'x': 1.8417095266511174, 'y': 2.6976927167612597}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,042] Trial 225 finished with value: 12.342284304379254 and parameters: {'x': 3.810334009899379, 'y': 4.199437405771903}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,043] Trial 226 finished with value: 8.504027200451612 and parameters: {'x': 0.5247870601084398, 'y': 2.553156541729579}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,044] Trial 227 finished with value: 9.080756473737205 and parameters: {'x': 3.2274433137208787, 'y': 0.7653340712632956}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,045] Trial 228 finished with value: 10.498147057144351 and parameters: {'x': 0.008798245521798864, 'y': 4.8352287661502515}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,046] Trial 229 finished with value: 10.625090716792682 and parameters: {'x': 4.039332666325461, 'y': 1.3703379468173575}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,047] Trial 230 finished with value: 6.1355422884542605 and parameters: {'x': 1.3954480353606296, 'y': 0.6033982071098909}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,048] Trial 231 finished with value: 12.682917751678975 and parameters: {'x': 2.403441324954285, 'y': 4.661509893812813}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,049] Trial 232 finished with value: 11.774995548643213 and parameters: {'x': 4.574637128841343, 'y': 1.219375479879055}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,050] Trial 233 finished with value: 10.978375842604487 and parameters: {'x': 1.9742914820793693, 'y': 4.851197651132945}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,051] Trial 234 finished with value: 12.119938844650308 and parameters: {'x': 1.378098168018807, 'y': 4.6892472043320685}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,052] Trial 235 finished with value: 13.137380053631484 and parameters: {'x': 3.845060785117532, 'y': 4.423593440530303}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,053] Trial 236 finished with value: 11.31174382971022 and parameters: {'x': 4.355024876220002, 'y': 0.7323547961340754}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,054] Trial 237 finished with value: 13.188985764251004 and parameters: {'x': 3.9459439396258817, 'y': 4.546111228357549}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,055] Trial 238 finished with value: 12.775291947108045 and parameters: {'x': 4.190852742653525, 'y': 3.5601559319358116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,056] Trial 239 finished with value: 7.707597241407441 and parameters: {'x': 1.536897092687322, 'y': 1.7689227738549467}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,056] Trial 240 finished with value: 5.22672624314151 and parameters: {'x': 1.1817669761188916, 'y': 0.4490581953161277}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,057] Trial 241 finished with value: 7.510297578894374 and parameters: {'x': 0.9723908716101909, 'y': 3.079039376835584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,058] Trial 242 finished with value: 13.44024542713433 and parameters: {'x': 4.660418377825547, 'y': 3.4554197489155487}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,059] Trial 243 finished with value: 8.844390826703956 and parameters: {'x': 2.8142352335212815, 'y': 1.3187789770627112}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,060] Trial 244 finished with value: 11.40539149996344 and parameters: {'x': 2.6357344044248325, 'y': 4.021914573545422}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,061] Trial 245 finished with value: 6.133436500818917 and parameters: {'x': 1.4753794695299933, 'y': 0.9166927527975044}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,062] Trial 246 finished with value: 9.542874483876695 and parameters: {'x': 0.09866229753310307, 'y': 3.716606159862748}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,063] Trial 247 finished with value: 6.48812817105026 and parameters: {'x': 0.191467020929183, 'y': 2.1683983448692428}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,064] Trial 248 finished with value: 9.554429765837991 and parameters: {'x': 4.1604238065637436, 'y': 0.06729279249878872}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,065] Trial 249 finished with value: 10.10757671940421 and parameters: {'x': 2.546676957570693, 'y': 2.397743500706264}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,066] Trial 250 finished with value: 1.0107616991357382 and parameters: {'x': 0.14827470398864118, 'y': 0.05714263412033127}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,066] Trial 251 finished with value: 6.323876055572224 and parameters: {'x': 1.6592200011724718, 'y': 0.30715539302647477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,067] Trial 252 finished with value: 12.27777005427824 and parameters: {'x': 2.990867540282372, 'y': 4.4296012676131165}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,068] Trial 253 finished with value: 5.888565518184436 and parameters: {'x': 2.0606688768197037, 'y': 0.19136099451097843}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,069] Trial 254 finished with value: 3.846931736921775 and parameters: {'x': 0.40421201895402825, 'y': 0.4095727115092429}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,070] Trial 255 finished with value: 11.116741954263512 and parameters: {'x': 4.046836669107675, 'y': 4.003470014424989}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,071] Trial 256 finished with value: 10.548427810995527 and parameters: {'x': 0.08454905677353852, 'y': 4.306471626153089}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,072] Trial 257 finished with value: 11.794532699469258 and parameters: {'x': 4.556501121762242, 'y': 2.0043834231758106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,072] Trial 258 finished with value: 11.358371336061872 and parameters: {'x': 1.4344534916885388, 'y': 4.2152244263191925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,073] Trial 259 finished with value: 8.604726890176462 and parameters: {'x': 3.0852227648870825, 'y': 0.702993633926971}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,074] Trial 260 finished with value: 10.368046930771534 and parameters: {'x': 1.1437780685795795, 'y': 4.20748985587598}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,075] Trial 261 finished with value: 10.292732211355425 and parameters: {'x': 4.22179236754099, 'y': 1.1007299669031934}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,076] Trial 262 finished with value: 11.369252561448086 and parameters: {'x': 4.05568819876081, 'y': 2.679767669445578}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,077] Trial 263 finished with value: 10.280651858444699 and parameters: {'x': 3.052142244912166, 'y': 2.6193494156314086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,078] Trial 264 finished with value: 8.07278439807948 and parameters: {'x': 3.1981457424778132, 'y': 0.025781740169585343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,079] Trial 265 finished with value: 9.556500701329405 and parameters: {'x': 0.12369391707809763, 'y': 3.4501319265785617}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,080] Trial 266 finished with value: 9.816116481887354 and parameters: {'x': 0.857965097811067, 'y': 3.469653368443282}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,081] Trial 267 finished with value: 5.842310943888105 and parameters: {'x': 1.426328115609064, 'y': 0.27552960390844206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,082] Trial 268 finished with value: 9.184290769515863 and parameters: {'x': 2.911114512930047, 'y': 1.4790936328279773}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,082] Trial 269 finished with value: 12.106973431816996 and parameters: {'x': 1.6140806778765233, 'y': 4.834946939274982}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,083] Trial 270 finished with value: 6.055173789253882 and parameters: {'x': 0.9746733239154337, 'y': 1.7369825257280702}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,084] Trial 271 finished with value: 6.801636111260548 and parameters: {'x': 0.5200703255535455, 'y': 2.0089092623724447}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,085] Trial 272 finished with value: 8.431382325178696 and parameters: {'x': 0.46423822543645576, 'y': 2.5242190323084963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,086] Trial 273 finished with value: 9.429375698322708 and parameters: {'x': 3.712953704723704, 'y': 0.026452545846914477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,087] Trial 274 finished with value: 3.601690824054902 and parameters: {'x': 0.45080584422510395, 'y': 0.2809199045597016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,088] Trial 275 finished with value: 13.867914662524237 and parameters: {'x': 4.421628316832168, 'y': 4.927929283264253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,089] Trial 276 finished with value: 8.12543959172015 and parameters: {'x': 2.6008734281374934, 'y': 0.9920871476639787}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,090] Trial 277 finished with value: 13.061611962615949 and parameters: {'x': 4.666741580415096, 'y': 3.2729910167106846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,090] Trial 278 finished with value: 11.43329057734574 and parameters: {'x': 3.9589587358004352, 'y': 2.556078393056895}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,091] Trial 279 finished with value: 10.536218642414656 and parameters: {'x': 3.9410594618961015, 'y': 1.6739836583743362}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,092] Trial 280 finished with value: 11.836721075355921 and parameters: {'x': 0.5662656720869486, 'y': 4.524069883514123}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,094] Trial 281 finished with value: 2.56045959627064 and parameters: {'x': 0.021119567542035034, 'y': 0.36751940303380193}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,095] Trial 282 finished with value: 11.83237063871328 and parameters: {'x': 0.6614568197768117, 'y': 4.7107495963735}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,096] Trial 283 finished with value: 6.367933259946817 and parameters: {'x': 1.514648431213112, 'y': 1.066565255901516}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,097] Trial 284 finished with value: 5.672598765407816 and parameters: {'x': 1.2783127625776287, 'y': 0.4796003339718996}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,098] Trial 285 finished with value: 10.385824371877787 and parameters: {'x': 2.0089894149954834, 'y': 3.655138201778497}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,099] Trial 286 finished with value: 9.468906639144176 and parameters: {'x': 3.2410496762079544, 'y': 1.2542279041725952}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,100] Trial 287 finished with value: 8.275616859112345 and parameters: {'x': 1.1371945697591408, 'y': 2.4790807917023434}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,101] Trial 288 finished with value: 12.332042617986879 and parameters: {'x': 4.323824833914893, 'y': 3.1703187656142324}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,101] Trial 289 finished with value: 10.616297086619696 and parameters: {'x': 3.7724623745413237, 'y': 2.1856159563386592}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,102] Trial 290 finished with value: 10.436104291698209 and parameters: {'x': 2.001060451213909, 'y': 3.6145815697262718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,103] Trial 291 finished with value: 8.794036139572007 and parameters: {'x': 1.861842897061573, 'y': 2.7629901519965023}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,104] Trial 292 finished with value: 8.543717978852516 and parameters: {'x': 0.40231808678595715, 'y': 2.97137783551767}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,105] Trial 293 finished with value: 10.720706351202566 and parameters: {'x': 1.404607334666036, 'y': 3.712237931572004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,106] Trial 294 finished with value: 10.791279999427607 and parameters: {'x': 1.4941359832634156, 'y': 3.787683420855808}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,107] Trial 295 finished with value: 3.3759630562706633 and parameters: {'x': 1.1318006900942001, 'y': 0.022038224615346658}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,108] Trial 296 finished with value: 6.328225222651152 and parameters: {'x': 0.6989014049359793, 'y': 1.4788185112007963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,109] Trial 297 finished with value: 7.859824043178897 and parameters: {'x': 0.9779690812537833, 'y': 2.7444101892144577}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,110] Trial 298 finished with value: 9.03281296423037 and parameters: {'x': 1.0499608504502294, 'y': 3.8924608513935106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,111] Trial 299 finished with value: 10.620615567321307 and parameters: {'x': 2.423399515211379, 'y': 3.1967019636164173}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,112] Trial 300 finished with value: 11.516797528464172 and parameters: {'x': 0.8384815371736137, 'y': 4.623413018911441}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,114] Trial 301 finished with value: 10.111886767394223 and parameters: {'x': 3.586699756816521, 'y': 0.7740680574908343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,115] Trial 302 finished with value: 9.836637987623748 and parameters: {'x': 3.6181680290969664, 'y': 0.932049629125622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,116] Trial 303 finished with value: 9.558754652272322 and parameters: {'x': 4.148322826217383, 'y': 0.9832088166987718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,116] Trial 304 finished with value: 12.425351652364135 and parameters: {'x': 4.806503345558579, 'y': 2.7379879240822897}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,117] Trial 305 finished with value: 4.323918901870375 and parameters: {'x': 1.114317998680301, 'y': 1.0636334525707207}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,118] Trial 306 finished with value: 10.305612608299866 and parameters: {'x': 3.1399398120322, 'y': 3.16638064574976}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,119] Trial 307 finished with value: 10.97430213769254 and parameters: {'x': 1.516395186429309, 'y': 4.081838757267333}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,120] Trial 308 finished with value: 9.870730647526344 and parameters: {'x': 2.0952835850444718, 'y': 4.069291426169951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,120] Trial 309 finished with value: 11.759512309986066 and parameters: {'x': 1.3260758528051553, 'y': 4.917127357017433}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,121] Trial 310 finished with value: 11.981160675499067 and parameters: {'x': 4.361526613299537, 'y': 2.242622946824728}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,122] Trial 311 finished with value: 5.876524131282984 and parameters: {'x': 1.676922549236917, 'y': 0.1485302699169916}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,123] Trial 312 finished with value: 13.102557317214668 and parameters: {'x': 4.954683743247883, 'y': 3.404747624152946}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,124] Trial 313 finished with value: 3.556361695609432 and parameters: {'x': 0.9457909320079672, 'y': 0.2252277474858655}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,125] Trial 314 finished with value: 8.87521749375287 and parameters: {'x': 0.0656977268124953, 'y': 3.309053083147978}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,126] Trial 315 finished with value: 6.476920544203612 and parameters: {'x': 0.5375617234826391, 'y': 1.5497881965234401}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,127] Trial 316 finished with value: 6.474013023556381 and parameters: {'x': 1.5397372414690502, 'y': 0.5873611308241922}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,127] Trial 317 finished with value: 13.685574803390994 and parameters: {'x': 4.734657103975001, 'y': 4.886952746178025}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,128] Trial 318 finished with value: 13.186159803321855 and parameters: {'x': 4.522396271343545, 'y': 3.980900747325177}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,129] Trial 319 finished with value: 10.182630143544603 and parameters: {'x': 0.32714711433914023, 'y': 3.5851931299846216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,130] Trial 320 finished with value: 7.545386493181928 and parameters: {'x': 2.2795521713986853, 'y': 0.7574185647525072}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,131] Trial 321 finished with value: 8.638261103686963 and parameters: {'x': 3.2336009756118003, 'y': 0.14617285939798774}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,132] Trial 322 finished with value: 13.291024791731683 and parameters: {'x': 3.7676043625502604, 'y': 4.448664730450772}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,133] Trial 323 finished with value: 5.694105094624511 and parameters: {'x': 0.05190019638577792, 'y': 1.6371392140332086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,134] Trial 324 finished with value: 10.783326963098192 and parameters: {'x': 4.142455457362445, 'y': 0.5629879698020956}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,135] Trial 325 finished with value: 9.235517675024784 and parameters: {'x': 0.12347868956855801, 'y': 4.071767644361329}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,136] Trial 326 finished with value: 6.097217281302395 and parameters: {'x': 1.2445263598758256, 'y': 1.2459829781456622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,136] Trial 327 finished with value: 5.959002451181533 and parameters: {'x': 0.7911840003011694, 'y': 1.3802797427861135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,137] Trial 328 finished with value: 7.483850239123026 and parameters: {'x': 2.14355172786834, 'y': 1.2921090270223545}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,138] Trial 329 finished with value: 7.465298730631504 and parameters: {'x': 1.8347352105276098, 'y': 1.746477966487205}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,139] Trial 330 finished with value: 7.702404747451398 and parameters: {'x': 1.66517890218663, 'y': 1.5168359888758993}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,140] Trial 331 finished with value: 7.329359741427874 and parameters: {'x': 1.575636430769551, 'y': 1.351125886959632}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,141] Trial 332 finished with value: 14.078439072449353 and parameters: {'x': 4.501473093762016, 'y': 4.834871016468915}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,142] Trial 333 finished with value: 11.805430242079208 and parameters: {'x': 4.483492736708329, 'y': 1.8663768989833134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,142] Trial 334 finished with value: 10.047661277193004 and parameters: {'x': 3.241396081360119, 'y': 1.5572090773062781}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,143] Trial 335 finished with value: 11.15966514900903 and parameters: {'x': 4.049860509608515, 'y': 4.023864483544081}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,144] Trial 336 finished with value: 10.351940922778217 and parameters: {'x': 3.9720884433516837, 'y': 0.5571758641568014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,145] Trial 337 finished with value: 11.312331656251716 and parameters: {'x': 4.057990718166497, 'y': 3.8977616929827925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,146] Trial 338 finished with value: 12.006578213933567 and parameters: {'x': 4.425400775488195, 'y': 1.612105259116436}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,147] Trial 339 finished with value: 4.546941065900725 and parameters: {'x': 0.5358271586999214, 'y': 0.8062487863403994}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,148] Trial 340 finished with value: 12.265954484314824 and parameters: {'x': 3.3639318073143447, 'y': 3.5707494667728037}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,149] Trial 341 finished with value: 9.686972424965605 and parameters: {'x': 1.1861710149027471, 'y': 4.028586842399676}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,150] Trial 342 finished with value: 13.975807137190671 and parameters: {'x': 4.59148148699102, 'y': 4.923109231094016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,150] Trial 343 finished with value: 12.615031694753085 and parameters: {'x': 4.985235725102164, 'y': 2.5796198033147206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,151] Trial 344 finished with value: 10.144438364863607 and parameters: {'x': 3.5004215430859222, 'y': 0.38279387609597704}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,152] Trial 345 finished with value: 13.285695130939878 and parameters: {'x': 4.5057074837582505, 'y': 4.0679132355585885}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,153] Trial 346 finished with value: 11.478174070108826 and parameters: {'x': 1.7953085662528945, 'y': 4.878518685464871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,154] Trial 347 finished with value: 5.066670251181307 and parameters: {'x': 1.9299304849809777, 'y': 0.0810469599552216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,155] Trial 348 finished with value: 7.725318776920252 and parameters: {'x': 0.09337227681652627, 'y': 2.7206977168107755}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,156] Trial 349 finished with value: 6.533854655052597 and parameters: {'x': 2.2157315861663758, 'y': 0.12850073723539135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,157] Trial 350 finished with value: 7.2859343683842965 and parameters: {'x': 1.8415225727936901, 'y': 2.1016025395545164}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,158] Trial 351 finished with value: 10.684908763016509 and parameters: {'x': 2.0270198062608795, 'y': 4.990388323243462}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,158] Trial 352 finished with value: 6.960187867889932 and parameters: {'x': 0.7833768772095029, 'y': 2.184794533969097}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,159] Trial 353 finished with value: 11.914386023386182 and parameters: {'x': 1.3511632715491224, 'y': 4.844817182998316}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,160] Trial 354 finished with value: 11.293224743723567 and parameters: {'x': 2.949045207579127, 'y': 3.5209321207041686}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,161] Trial 355 finished with value: 11.743346380615318 and parameters: {'x': 3.2496833610633677, 'y': 3.7770354167726987}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,162] Trial 356 finished with value: 11.679458875312944 and parameters: {'x': 4.426571355138362, 'y': 1.2652636739771244}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,163] Trial 357 finished with value: 7.773193283576287 and parameters: {'x': 1.1399690325804452, 'y': 3.013208541388202}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,164] Trial 358 finished with value: 10.168683800840451 and parameters: {'x': 1.1808208021313833, 'y': 3.6549315019705926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,165] Trial 359 finished with value: 9.62287503614435 and parameters: {'x': 3.3199945879638477, 'y': 1.1963746011645409}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,166] Trial 360 finished with value: 6.263740157827893 and parameters: {'x': 0.9295736477647659, 'y': 1.5638785802177801}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,168] Trial 361 finished with value: 8.422765161329606 and parameters: {'x': 1.8316448318363294, 'y': 2.949533951061176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,169] Trial 362 finished with value: 10.768903724134223 and parameters: {'x': 3.796194699561968, 'y': 1.6117538913772222}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,170] Trial 363 finished with value: 10.175476140465943 and parameters: {'x': 2.510110725524435, 'y': 2.9191553264881014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,171] Trial 364 finished with value: 10.554224493626993 and parameters: {'x': 1.3330044128659595, 'y': 3.56923322272833}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,172] Trial 365 finished with value: 10.428277943619925 and parameters: {'x': 2.2863555352433185, 'y': 3.251156861961829}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,173] Trial 366 finished with value: 9.397435687476593 and parameters: {'x': 2.513344192595443, 'y': 2.15696782708575}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,174] Trial 367 finished with value: 9.640255388206626 and parameters: {'x': 3.5888323054397455, 'y': 0.061804212855827156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,175] Trial 368 finished with value: 8.503077368268185 and parameters: {'x': 0.4014718752766372, 'y': 2.881864726744231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,176] Trial 369 finished with value: 10.89528845137693 and parameters: {'x': 4.06810858236602, 'y': 2.807681168241926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,176] Trial 370 finished with value: 7.572310130022002 and parameters: {'x': 3.017958480806348, 'y': 1.1029041260820605}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,177] Trial 371 finished with value: 11.35822683786316 and parameters: {'x': 4.597705213070565, 'y': 1.0275035020467445}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,178] Trial 372 finished with value: 10.334301783289174 and parameters: {'x': 3.441692822984785, 'y': 1.8760491085648985}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,179] Trial 373 finished with value: 9.366825163062781 and parameters: {'x': 1.0576451338911523, 'y': 4.104956711060199}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,180] Trial 374 finished with value: 10.319887087205322 and parameters: {'x': 0.572872190428042, 'y': 3.865253471404385}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,181] Trial 375 finished with value: 12.656247846838099 and parameters: {'x': 2.4153025902913856, 'y': 4.748548781570176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,182] Trial 376 finished with value: 10.336268730046392 and parameters: {'x': 2.7485185814912407, 'y': 2.622131045851649}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,183] Trial 377 finished with value: 12.6936342764527 and parameters: {'x': 4.367924052208163, 'y': 3.23362910079036}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,184] Trial 378 finished with value: 5.688948182824891 and parameters: {'x': 1.6461538485913811, 'y': 0.05224659864543846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,185] Trial 379 finished with value: 10.110830500819509 and parameters: {'x': 0.6854770412019723, 'y': 3.851589561924845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,186] Trial 380 finished with value: 12.273207645707943 and parameters: {'x': 4.165333083527113, 'y': 3.3233982753678104}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,186] Trial 381 finished with value: 12.484656744452234 and parameters: {'x': 2.8777810221359696, 'y': 4.542240526758478}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,187] Trial 382 finished with value: 11.425499761607393 and parameters: {'x': 3.5718757576050404, 'y': 2.4095000943864937}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,188] Trial 383 finished with value: 11.803245457094556 and parameters: {'x': 3.5369494495495686, 'y': 3.1968646099923888}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,189] Trial 384 finished with value: 9.042549452967808 and parameters: {'x': 0.12469722720175491, 'y': 4.015370361224231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,190] Trial 385 finished with value: 10.186575518036205 and parameters: {'x': 3.731743586736484, 'y': 1.9353467643436872}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,191] Trial 386 finished with value: 7.988209696799993 and parameters: {'x': 2.9316049100820516, 'y': 1.1817841776438487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,192] Trial 387 finished with value: 11.299408930796828 and parameters: {'x': 4.943151059515143, 'y': 2.9439116523280573}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,193] Trial 388 finished with value: 10.272115300169695 and parameters: {'x': 0.9953894225731719, 'y': 4.9508387129758065}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,194] Trial 389 finished with value: 11.413230783280214 and parameters: {'x': 4.265506968629001, 'y': 1.7206051686515156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,194] Trial 390 finished with value: 13.098549108408804 and parameters: {'x': 3.2852051919341596, 'y': 4.665301925763098}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,195] Trial 391 finished with value: 9.849913964349092 and parameters: {'x': 2.7953817518114112, 'y': 3.0855253870565784}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,196] Trial 392 finished with value: 12.292270609101232 and parameters: {'x': 2.3449460237387805, 'y': 4.974148831105845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,197] Trial 393 finished with value: 11.315203140090853 and parameters: {'x': 4.667368546076479, 'y': 0.14127706194105194}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,198] Trial 394 finished with value: 8.40520651084406 and parameters: {'x': 2.2419646994476965, 'y': 1.6998795591296951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,199] Trial 395 finished with value: 6.260505038728272 and parameters: {'x': 0.778811726152957, 'y': 1.478223468324038}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,200] Trial 396 finished with value: 11.472437481822912 and parameters: {'x': 3.586250970322703, 'y': 2.4350476434490167}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,201] Trial 397 finished with value: 12.235704085862338 and parameters: {'x': 1.5414894309370952, 'y': 4.599743491318141}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,201] Trial 398 finished with value: 10.519853942161596 and parameters: {'x': 3.478770004972627, 'y': 1.3835972523776308}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,202] Trial 399 finished with value: 11.915337561227599 and parameters: {'x': 3.9657694708972295, 'y': 4.993195560328999}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,203] Trial 400 finished with value: 11.320253002288661 and parameters: {'x': 3.521502151128004, 'y': 2.374145628966899}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,204] Trial 401 finished with value: 11.29090329121093 and parameters: {'x': 3.977316749198101, 'y': 2.6625305621987865}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,205] Trial 402 finished with value: 11.875663331991058 and parameters: {'x': 2.873164558462395, 'y': 4.831149901117671}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,206] Trial 403 finished with value: 12.175443931137195 and parameters: {'x': 4.713437402146087, 'y': 2.946326447389634}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,207] Trial 404 finished with value: 8.300926935758039 and parameters: {'x': 1.147792118520532, 'y': 2.4767743459617138}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,208] Trial 405 finished with value: 8.196354605338419 and parameters: {'x': 2.178274914321877, 'y': 1.6548526008809084}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,209] Trial 406 finished with value: 8.732343943691152 and parameters: {'x': 3.018750335116476, 'y': 0.4734319073153487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,209] Trial 407 finished with value: 11.831532846162496 and parameters: {'x': 0.5787878859449158, 'y': 4.848441660674134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,210] Trial 408 finished with value: 11.467460198669075 and parameters: {'x': 4.7644736377631, 'y': 1.9000070726471474}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,211] Trial 409 finished with value: 13.241272533641627 and parameters: {'x': 4.937879774226172, 'y': 3.5911532254609426}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,212] Trial 410 finished with value: 12.199229033452848 and parameters: {'x': 4.621158542946111, 'y': 1.659022406354706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,213] Trial 411 finished with value: 11.274497517651321 and parameters: {'x': 4.213027646130707, 'y': 3.024612028996253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,214] Trial 412 finished with value: 11.011320355706633 and parameters: {'x': 4.209069911893718, 'y': 0.4391846452987075}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,215] Trial 413 finished with value: 7.835987772707956 and parameters: {'x': 1.7524743073911475, 'y': 2.1459799105722226}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,215] Trial 414 finished with value: 9.801001789392005 and parameters: {'x': 4.0132414178067455, 'y': 1.2103487743058405}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,217] Trial 415 finished with value: 4.897269335440885 and parameters: {'x': 0.016661386459545513, 'y': 1.9432817255369261}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,218] Trial 416 finished with value: 11.680835279899052 and parameters: {'x': 4.607965659748283, 'y': 0.763119379038707}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,219] Trial 417 finished with value: 13.246856664211204 and parameters: {'x': 3.749972298117215, 'y': 4.7374180952583425}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,220] Trial 418 finished with value: 5.387323888817008 and parameters: {'x': 1.253885077828284, 'y': 0.787196297398004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,221] Trial 419 finished with value: 7.624139513333427 and parameters: {'x': 1.7152766785823403, 'y': 1.461602709177967}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,222] Trial 420 finished with value: 8.601597924364475 and parameters: {'x': 1.3520658837907396, 'y': 2.372438113797351}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,222] Trial 421 finished with value: 7.379291585291298 and parameters: {'x': 2.7930189821136464, 'y': 0.031737380005553706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,223] Trial 422 finished with value: 10.891688058409025 and parameters: {'x': 4.217288485526173, 'y': 0.6801696396168871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,224] Trial 423 finished with value: 10.299411814439988 and parameters: {'x': 3.8122101873765697, 'y': 0.41218452352049795}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,225] Trial 424 finished with value: 10.208464294714064 and parameters: {'x': 3.81880576682492, 'y': 1.8169659683865675}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,226] Trial 425 finished with value: 10.028817047410373 and parameters: {'x': 1.2087293105524348, 'y': 3.793127415195745}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,227] Trial 426 finished with value: 7.261182866121507 and parameters: {'x': 0.2790957476830819, 'y': 2.2438680755679603}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,228] Trial 427 finished with value: 14.24707476875786 and parameters: {'x': 4.504128191663766, 'y': 4.536426179394706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,229] Trial 428 finished with value: 11.53130854114426 and parameters: {'x': 2.34440646591819, 'y': 4.155224828254459}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,230] Trial 429 finished with value: 10.035148728001966 and parameters: {'x': 3.339457159272726, 'y': 1.3085702530437353}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,231] Trial 430 finished with value: 12.00190998770292 and parameters: {'x': 1.7877920284854298, 'y': 4.638094994544125}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,232] Trial 431 finished with value: 14.01538390195471 and parameters: {'x': 4.410506190386242, 'y': 4.788139963768522}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,232] Trial 432 finished with value: 4.666091133704892 and parameters: {'x': 1.1059764324677757, 'y': 0.7542856870743286}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,233] Trial 433 finished with value: 8.142015730690124 and parameters: {'x': 0.6161159090355595, 'y': 2.3898397730907184}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,234] Trial 434 finished with value: 11.879730726613051 and parameters: {'x': 1.2871110125996195, 'y': 4.732209161219746}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,235] Trial 435 finished with value: 11.50770167045246 and parameters: {'x': 2.4547123105592443, 'y': 3.6044560976192708}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,236] Trial 436 finished with value: 11.39469182989561 and parameters: {'x': 4.981161330369753, 'y': 2.1766888161941926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,237] Trial 437 finished with value: 0.7804106054859936 and parameters: {'x': 0.10732164140456302, 'y': 0.07550790294400644}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,238] Trial 438 finished with value: 10.429537583216518 and parameters: {'x': 2.3584819107069817, 'y': 3.190198197830021}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,238] Trial 439 finished with value: 4.96540431517192 and parameters: {'x': 0.5277377187120708, 'y': 1.0982878491684678}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,239] Trial 440 finished with value: 12.51959837127892 and parameters: {'x': 3.6746873579644275, 'y': 3.5656393265313238}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,240] Trial 441 finished with value: 13.310419785020215 and parameters: {'x': 4.801937205804211, 'y': 3.656659960854932}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,241] Trial 442 finished with value: 11.149675940912598 and parameters: {'x': 4.200232100305174, 'y': 2.9712838594594713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,242] Trial 443 finished with value: 12.343066204190144 and parameters: {'x': 3.4099618227374546, 'y': 3.554075909742147}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,243] Trial 444 finished with value: 5.6759505823925345 and parameters: {'x': 0.8780434126462405, 'y': 1.9094461322518268}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,244] Trial 445 finished with value: 6.607630149326052 and parameters: {'x': 1.9938793894736069, 'y': 1.935711389319521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,244] Trial 446 finished with value: 6.00431305323762 and parameters: {'x': 0.9366003382596688, 'y': 2.1169233194543096}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,245] Trial 447 finished with value: 13.027263446057466 and parameters: {'x': 3.689892011332293, 'y': 4.950600642632251}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,246] Trial 448 finished with value: 11.06575203582668 and parameters: {'x': 0.3441815521175967, 'y': 4.262229256565206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,247] Trial 449 finished with value: 11.233300822016634 and parameters: {'x': 3.9237478347273207, 'y': 2.3966823952125753}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,248] Trial 450 finished with value: 8.935380249107924 and parameters: {'x': 1.4876991240229658, 'y': 2.4164676051324174}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,249] Trial 451 finished with value: 11.741073301615504 and parameters: {'x': 1.9644552766060486, 'y': 4.498472398791405}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,250] Trial 452 finished with value: 6.082732869229478 and parameters: {'x': 1.400062597877147, 'y': 0.47308219360903625}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,250] Trial 453 finished with value: 8.122986607956738 and parameters: {'x': 2.5225478308799607, 'y': 0.8888340113786181}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,251] Trial 454 finished with value: 10.02573892634024 and parameters: {'x': 1.1571208454981974, 'y': 3.4887523537576577}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,252] Trial 455 finished with value: 14.122725695817879 and parameters: {'x': 4.425953927746668, 'y': 4.4820875653525025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,253] Trial 456 finished with value: 11.12488185820932 and parameters: {'x': 4.034092789320193, 'y': 3.9351871317284477}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,254] Trial 457 finished with value: 10.822916013291252 and parameters: {'x': 4.057685738995707, 'y': 1.6228102359843521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,255] Trial 458 finished with value: 7.799678963438955 and parameters: {'x': 3.104179792814024, 'y': 0.9079559307976542}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,256] Trial 459 finished with value: 13.558071660350077 and parameters: {'x': 4.263230292643333, 'y': 4.789186109978953}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,259] Trial 460 finished with value: 5.379273068061256 and parameters: {'x': 1.2629667463169851, 'y': 0.3471682486006089}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,260] Trial 461 finished with value: 13.503353859353549 and parameters: {'x': 3.6472602799256286, 'y': 4.585275919341306}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,260] Trial 462 finished with value: 9.95189832119296 and parameters: {'x': 4.217291323814577, 'y': 0.06534306686574565}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,261] Trial 463 finished with value: 7.316189589089076 and parameters: {'x': 2.1544055069289936, 'y': 1.977017966150556}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,262] Trial 464 finished with value: 6.837266790743383 and parameters: {'x': 2.107062124054001, 'y': 0.7011774809488025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,263] Trial 465 finished with value: 12.326391259520475 and parameters: {'x': 3.8061924650999472, 'y': 3.4622914922425165}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,264] Trial 466 finished with value: 12.438153329094177 and parameters: {'x': 3.059137452812551, 'y': 4.644550575118717}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,265] Trial 467 finished with value: 10.795756609067213 and parameters: {'x': 3.5770919128123864, 'y': 1.6153670832663791}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,266] Trial 468 finished with value: 12.976661440518908 and parameters: {'x': 4.080223600535277, 'y': 4.7351518146604885}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,267] Trial 469 finished with value: 8.31533623510785 and parameters: {'x': 0.8067232894823856, 'y': 2.6448926126752745}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,267] Trial 470 finished with value: 10.129849179817505 and parameters: {'x': 3.8967028438943183, 'y': 1.7891317967768172}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,268] Trial 471 finished with value: 10.495601334816916 and parameters: {'x': 1.843470804737017, 'y': 3.5058645128464376}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,270] Trial 472 finished with value: 10.088792482724358 and parameters: {'x': 2.7654320858351027, 'y': 3.113727970345309}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,271] Trial 473 finished with value: 8.489489614352319 and parameters: {'x': 1.0263837170960788, 'y': 3.215932794062375}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,272] Trial 474 finished with value: 10.997502590623936 and parameters: {'x': 2.4805922066317883, 'y': 3.284689230485689}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,273] Trial 475 finished with value: 6.291712557698734 and parameters: {'x': 1.4650440056970793, 'y': 0.7063166537840632}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,274] Trial 476 finished with value: 10.93523004668661 and parameters: {'x': 4.183730895251133, 'y': 0.5658401958833559}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,274] Trial 477 finished with value: 7.850438094434846 and parameters: {'x': 0.5599168274764549, 'y': 2.2945630290077066}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,275] Trial 478 finished with value: 11.627074996182836 and parameters: {'x': 2.074821999819689, 'y': 4.727132686901395}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,276] Trial 479 finished with value: 7.797052693640023 and parameters: {'x': 2.060681641475947, 'y': 1.629046569019739}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,277] Trial 480 finished with value: 7.032253172863296 and parameters: {'x': 1.6073255276032867, 'y': 1.246078044226684}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,278] Trial 481 finished with value: 9.717309651594512 and parameters: {'x': 3.694629393054078, 'y': 0.1452253478402482}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,279] Trial 482 finished with value: 9.28452105239339 and parameters: {'x': 3.2417304714517914, 'y': 0.32514601807110965}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,280] Trial 483 finished with value: 5.315871409227775 and parameters: {'x': 1.200964624897748, 'y': 0.4522330920560269}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,280] Trial 484 finished with value: 9.440968128035568 and parameters: {'x': 3.8048243910578416, 'y': 1.0766348745679348}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,281] Trial 485 finished with value: 11.128758047393772 and parameters: {'x': 3.4025495977679103, 'y': 2.3743371466036587}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,282] Trial 486 finished with value: 11.606968638275713 and parameters: {'x': 4.654079612466723, 'y': 0.7898450946089941}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,283] Trial 487 finished with value: 8.164509127866584 and parameters: {'x': 2.4061686085964666, 'y': 0.45546552540126295}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,284] Trial 488 finished with value: 4.215593111143367 and parameters: {'x': 0.8822884373740586, 'y': 0.3681398348093584}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,285] Trial 489 finished with value: 10.402055248667342 and parameters: {'x': 1.7199664697902828, 'y': 3.3849639252179493}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,286] Trial 490 finished with value: 7.395006822537743 and parameters: {'x': 1.3881946345175273, 'y': 1.5523358451185554}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,286] Trial 491 finished with value: 6.0595150997035425 and parameters: {'x': 0.2723050025800139, 'y': 1.5129130477433206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,287] Trial 492 finished with value: 11.838682067772567 and parameters: {'x': 4.276207744351974, 'y': 2.83923223769671}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,288] Trial 493 finished with value: 13.278499721884376 and parameters: {'x': 4.85037561346188, 'y': 3.4596523068267637}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,289] Trial 494 finished with value: 4.549486920521389 and parameters: {'x': 0.6634885345608066, 'y': 0.8018360929305579}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,290] Trial 495 finished with value: 5.690223476399435 and parameters: {'x': 1.9547778130093625, 'y': 0.864218941932488}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,291] Trial 496 finished with value: 3.8395917237234833 and parameters: {'x': 0.13501540166023784, 'y': 1.1454565746303713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,292] Trial 497 finished with value: 9.06181195713635 and parameters: {'x': 2.0097930888484257, 'y': 2.5779436380218317}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,293] Trial 498 finished with value: 4.141706705777526 and parameters: {'x': 1.050766261540541, 'y': 0.8255628900432621}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,293] Trial 499 finished with value: 10.11695865881527 and parameters: {'x': 3.4497399262396455, 'y': 0.47594639104199365}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,294] A new study created in memory with name: x=[0,4), y=[0,4)\n[I 2023-11-01 05:27:31,295] Trial 0 finished with value: 9.859778541798656 and parameters: {'x': 1.3933196794073037, 'y': 3.2358514401958347}. Best is trial 0 with value: 9.859778541798656.\n[I 2023-11-01 05:27:31,295] Trial 1 finished with value: 9.039593212528152 and parameters: {'x': 1.838548751301699, 'y': 2.504497219276703}. Best is trial 1 with value: 9.039593212528152.\n[I 2023-11-01 05:27:31,296] Trial 2 finished with value: 4.244161659801236 and parameters: {'x': 0.8145873234061498, 'y': 0.37470161910149224}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,297] Trial 3 finished with value: 10.707175702169542 and parameters: {'x': 3.902103869064555, 'y': 1.4693753133410787}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,298] Trial 4 finished with value: 7.299292877283396 and parameters: {'x': 2.305135871772639, 'y': 0.9837282718184688}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,299] Trial 5 finished with value: 10.680969952713568 and parameters: {'x': 3.96983477897882, 'y': 2.265084513109098}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,300] Trial 6 finished with value: 10.534469944310851 and parameters: {'x': 2.0671457821091552, 'y': 3.5257358718900864}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,301] Trial 7 finished with value: 6.984222753302996 and parameters: {'x': 0.04765358251977991, 'y': 2.92097283880608}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,301] Trial 8 finished with value: 8.822231479320317 and parameters: {'x': 1.2751187315175243, 'y': 2.600010316693418}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,302] Trial 9 finished with value: 10.098013003294861 and parameters: {'x': 3.30128843589085, 'y': 1.7369520482245924}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,303] Trial 10 finished with value: 6.590857000246849 and parameters: {'x': 0.6273547556415009, 'y': 1.9094396171974033}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,304] Trial 11 finished with value: 5.529780090813791 and parameters: {'x': 1.3200314988592186, 'y': 0.9621656302946389}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,305] Trial 12 finished with value: 7.964652132745382 and parameters: {'x': 2.431829240381084, 'y': 0.8558984720330014}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,306] Trial 13 finished with value: 7.2060689475395385 and parameters: {'x': 1.9347330117135004, 'y': 1.7763143086502295}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,307] Trial 14 finished with value: 7.38790703558322 and parameters: {'x': 1.4591918094157488, 'y': 1.4523362557690818}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,307] Trial 15 finished with value: 6.166968985628692 and parameters: {'x': 0.8561980303273447, 'y': 1.472478142941779}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,308] Trial 16 finished with value: 8.558532033087145 and parameters: {'x': 0.6168391828672339, 'y': 2.836747068751847}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,309] Trial 17 finished with value: 9.338342614865656 and parameters: {'x': 3.298276896472674, 'y': 1.1440750956569046}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,310] Trial 18 finished with value: 11.10649259399895 and parameters: {'x': 2.8214730316745245, 'y': 3.7744207192919066}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,311] Trial 19 finished with value: 6.7236981165918905 and parameters: {'x': 0.5425632260332911, 'y': 1.9664808329550993}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,312] Trial 20 finished with value: 9.197320562025435 and parameters: {'x': 2.6301945639685935, 'y': 2.0897056077133547}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,312] Trial 21 finished with value: 6.564082939358261 and parameters: {'x': 0.5216182433451544, 'y': 1.6125483245888965}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,313] Trial 22 finished with value: 7.760458384259243 and parameters: {'x': 1.649580915829942, 'y': 1.7232746235781753}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,314] Trial 23 finished with value: 4.692281434608283 and parameters: {'x': 0.4763457596546661, 'y': 1.0318764322136516}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,315] Trial 24 finished with value: 10.457106146198148 and parameters: {'x': 1.884117526823101, 'y': 3.515186937291592}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,316] Trial 25 finished with value: 10.28898955389791 and parameters: {'x': 3.1158246006173047, 'y': 3.1838538522785744}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,317] Trial 26 finished with value: 9.331292201439751 and parameters: {'x': 0.017672354936568713, 'y': 3.4211695299212206}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,318] Trial 27 finished with value: 10.060005028037963 and parameters: {'x': 0.786957066684185, 'y': 3.6852471668044555}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,319] Trial 28 finished with value: 3.964292399208695 and parameters: {'x': 0.46295550697412713, 'y': 0.39938900035022407}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,321] Trial 29 finished with value: 10.269990858462307 and parameters: {'x': 1.65981265679325, 'y': 3.320513303194814}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,321] Trial 30 finished with value: 11.268039501438045 and parameters: {'x': 2.633330398842245, 'y': 3.362248171171207}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,323] Trial 31 finished with value: 5.396934020251162 and parameters: {'x': 1.1949167255641462, 'y': 1.1654157413744377}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,324] Trial 32 finished with value: 9.829000907142534 and parameters: {'x': 0.8784560741266598, 'y': 3.4924433376133783}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,325] Trial 33 finished with value: 10.369946123204146 and parameters: {'x': 3.9701276532663954, 'y': 0.4997243304279091}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,326] Trial 34 finished with value: 7.682115993810168 and parameters: {'x': 2.0668884599462567, 'y': 1.4241440362775037}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,327] Trial 35 finished with value: 11.752399043322077 and parameters: {'x': 3.1788488466327007, 'y': 3.5497268271566926}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,328] Trial 36 finished with value: 12.226827133986625 and parameters: {'x': 3.4516564162177263, 'y': 3.4014755174992803}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,329] Trial 37 finished with value: 9.001126604354294 and parameters: {'x': 1.7287436729282057, 'y': 3.039231370839761}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,329] Trial 38 finished with value: 3.7033385075458476 and parameters: {'x': 0.2408286872302634, 'y': 0.9882472155647375}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,330] Trial 39 finished with value: 7.816144951505883 and parameters: {'x': 2.38247805165682, 'y': 1.0733449299813174}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,331] Trial 40 finished with value: 11.480525241689845 and parameters: {'x': 3.75901341027312, 'y': 2.453615193920154}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,332] Trial 41 finished with value: 12.202111886720926 and parameters: {'x': 3.7450474278361403, 'y': 3.7846922598231063}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,333] Trial 42 finished with value: 11.405793594949529 and parameters: {'x': 2.403226350502876, 'y': 3.745084760723254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,334] Trial 43 finished with value: 5.750984516139752 and parameters: {'x': 1.781549861697862, 'y': 0.16127595645851578}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,335] Trial 44 finished with value: 5.54345653122553 and parameters: {'x': 0.2172688339262261, 'y': 1.3822698988079365}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,336] Trial 45 finished with value: 10.060905765872992 and parameters: {'x': 0.7979283545488918, 'y': 3.5741214978277833}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,337] Trial 46 finished with value: 6.959205036747614 and parameters: {'x': 0.5164581753461488, 'y': 2.0663302791013227}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,338] Trial 47 finished with value: 11.03616182271487 and parameters: {'x': 3.9480950365448084, 'y': 3.96645174529096}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,339] Trial 48 finished with value: 6.614950609692865 and parameters: {'x': 0.6310986798933471, 'y': 1.6589654222068524}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,340] Trial 49 finished with value: 9.175626846648905 and parameters: {'x': 2.745981291764348, 'y': 1.4264809557268383}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,341] Trial 50 finished with value: 8.515399997037537 and parameters: {'x': 2.6274468517453085, 'y': 0.6861219767706412}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,342] Trial 51 finished with value: 5.435487475041612 and parameters: {'x': 1.9397491625683356, 'y': 1.0202429416259573}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,343] Trial 52 finished with value: 9.745806897619802 and parameters: {'x': 3.430168293505469, 'y': 0.2317638687174539}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,344] Trial 53 finished with value: 9.752071545230551 and parameters: {'x': 2.7855338170640893, 'y': 3.043792727489718}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,345] Trial 54 finished with value: 4.4704695077871826 and parameters: {'x': 0.5271026419422009, 'y': 0.6223072245090484}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,346] Trial 55 finished with value: 12.03918283506897 and parameters: {'x': 3.2704636918929406, 'y': 3.5829796005976884}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,347] Trial 56 finished with value: 10.18696347807152 and parameters: {'x': 3.9278091591189184, 'y': 2.9741530786699166}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,348] Trial 57 finished with value: 7.556126379464672 and parameters: {'x': 3.0881791182582132, 'y': 0.9834557500733685}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,349] Trial 58 finished with value: 9.185903992885615 and parameters: {'x': 3.3688244164395478, 'y': 0.07370278788612072}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,350] Trial 59 finished with value: 6.280576366644379 and parameters: {'x': 0.5731961180739842, 'y': 1.450687583583008}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,351] Trial 60 finished with value: 7.742064083775642 and parameters: {'x': 1.5656204313309159, 'y': 1.7387483442563485}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,352] Trial 61 finished with value: 11.132968842390083 and parameters: {'x': 3.39312495501294, 'y': 2.843245434223765}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,353] Trial 62 finished with value: 8.567754039160308 and parameters: {'x': 1.8015413117258299, 'y': 2.944191104585469}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,354] Trial 63 finished with value: 4.832743885161232 and parameters: {'x': 0.4465773656006653, 'y': 1.0891525830804647}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,355] Trial 64 finished with value: 11.104507548957141 and parameters: {'x': 2.8701212402413727, 'y': 3.733795236099265}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,356] Trial 65 finished with value: 7.40615921330866 and parameters: {'x': 2.3241082704852536, 'y': 0.9776882221678127}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,357] Trial 66 finished with value: 11.505979204998482 and parameters: {'x': 2.737406586939625, 'y': 3.6572814342341977}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,358] Trial 67 finished with value: 6.534579593040267 and parameters: {'x': 1.2195404608268183, 'y': 1.9017797211719087}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,359] Trial 68 finished with value: 9.930908552455072 and parameters: {'x': 0.5560221319737524, 'y': 3.3681618420035133}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,360] Trial 69 finished with value: 6.901786099055903 and parameters: {'x': 2.272307748983125, 'y': 0.12754687071613713}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,361] Trial 70 finished with value: 9.998882920157838 and parameters: {'x': 0.7698589318554725, 'y': 3.7592329794195254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,362] Trial 71 finished with value: 7.919037470960159 and parameters: {'x': 2.600456136224802, 'y': 0.12119274231295663}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,363] Trial 72 finished with value: 9.62924260549343 and parameters: {'x': 3.5723994726880854, 'y': 0.054357180230217406}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,364] Trial 73 finished with value: 0.2151968790881824 and parameters: {'x': 0.04884273066499656, 'y': 0.016513827190637542}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,365] Trial 74 finished with value: 5.876716919840415 and parameters: {'x': 0.1695058988291449, 'y': 1.5451156431523292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,366] Trial 75 finished with value: 6.50152632645646 and parameters: {'x': 1.253513702284081, 'y': 1.3314201920039643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,368] Trial 76 finished with value: 10.073728693626201 and parameters: {'x': 1.790940909549009, 'y': 3.9306183079192376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,369] Trial 77 finished with value: 11.592961833859302 and parameters: {'x': 3.3382684898030006, 'y': 3.247600734696528}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,370] Trial 78 finished with value: 8.524339728788682 and parameters: {'x': 2.7939800283677414, 'y': 1.9465730742746103}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,371] Trial 79 finished with value: 6.810148362488738 and parameters: {'x': 2.250517079552346, 'y': 0.1412007733389138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,372] Trial 80 finished with value: 4.578449067293313 and parameters: {'x': 0.9513282606596039, 'y': 0.5176395568530854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,372] Trial 81 finished with value: 8.03611178521659 and parameters: {'x': 2.7495574802101426, 'y': 0.8605322444674512}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,373] Trial 82 finished with value: 9.0484191526951 and parameters: {'x': 3.302135926381046, 'y': 0.9473176516728192}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,374] Trial 83 finished with value: 12.120266358270943 and parameters: {'x': 3.6739792951218915, 'y': 3.934808570119411}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,375] Trial 84 finished with value: 10.402439856923305 and parameters: {'x': 1.9698964088020623, 'y': 3.506429165248168}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,376] Trial 85 finished with value: 4.160126567431099 and parameters: {'x': 0.7989548719069344, 'y': 0.3462904341027335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,377] Trial 86 finished with value: 8.553032648925823 and parameters: {'x': 2.9162754648283156, 'y': 0.42806181200585414}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,378] Trial 87 finished with value: 10.608490346655685 and parameters: {'x': 3.2532379182350595, 'y': 3.0910275017250406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,379] Trial 88 finished with value: 3.7015802211423185 and parameters: {'x': 0.2322645623258115, 'y': 0.5625554562742372}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,380] Trial 89 finished with value: 9.191385997850857 and parameters: {'x': 2.547976011875257, 'y': 1.516626324984331}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,381] Trial 90 finished with value: 6.442237775568518 and parameters: {'x': 1.1361400624445248, 'y': 1.4499627343902555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,382] Trial 91 finished with value: 10.0445479409038 and parameters: {'x': 1.1371007311701828, 'y': 3.5410274711784107}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,383] Trial 92 finished with value: 10.977920512951362 and parameters: {'x': 3.757065188327247, 'y': 2.8931772973556926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,384] Trial 93 finished with value: 8.235795283382567 and parameters: {'x': 2.082113472254048, 'y': 2.9454209884361773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,385] Trial 94 finished with value: 9.93034334231159 and parameters: {'x': 3.464529351420215, 'y': 0.28253052622114705}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,386] Trial 95 finished with value: 4.12794561810944 and parameters: {'x': 0.4961925387838706, 'y': 0.44012286036116954}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,387] Trial 96 finished with value: 9.770704684742935 and parameters: {'x': 0.9230872571633748, 'y': 3.490669945563004}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,388] Trial 97 finished with value: 8.019703025801185 and parameters: {'x': 3.1355638961169685, 'y': 1.0714067782110388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,389] Trial 98 finished with value: 10.506967336266714 and parameters: {'x': 3.0207104304758863, 'y': 3.849499571070234}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,390] Trial 99 finished with value: 9.769323851016116 and parameters: {'x': 2.924175184757402, 'y': 2.3448622903364957}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,391] Trial 100 finished with value: 8.640166243405007 and parameters: {'x': 2.7226932337739216, 'y': 0.4994786053724156}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,392] Trial 101 finished with value: 10.089444683751838 and parameters: {'x': 3.871491069827993, 'y': 0.33848581827426116}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,392] Trial 102 finished with value: 8.186227648748062 and parameters: {'x': 1.2200983012467015, 'y': 2.360577004611718}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,393] Trial 103 finished with value: 8.06051983142751 and parameters: {'x': 2.4520107245963514, 'y': 0.8297937319854545}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,394] Trial 104 finished with value: 8.386680858343565 and parameters: {'x': 0.3249375577272491, 'y': 2.6079869824945696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,395] Trial 105 finished with value: 7.348582073690469 and parameters: {'x': 1.067582975461931, 'y': 2.9485118438811426}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,396] Trial 106 finished with value: 6.205295019163518 and parameters: {'x': 2.06997945847861, 'y': 0.8137554383860333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,397] Trial 107 finished with value: 10.986137556963685 and parameters: {'x': 3.5765675535466497, 'y': 2.2201968827903356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,398] Trial 108 finished with value: 11.476111653910753 and parameters: {'x': 3.6031268809452617, 'y': 2.4312641887005704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,399] Trial 109 finished with value: 7.3944165656711185 and parameters: {'x': 2.8733924329055345, 'y': 1.0206703053627808}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,400] Trial 110 finished with value: 8.139625158792638 and parameters: {'x': 2.820147250520451, 'y': 1.1666515616728446}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,401] Trial 111 finished with value: 4.933785005094766 and parameters: {'x': 1.9178777080752796, 'y': 0.021013293830758784}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,402] Trial 112 finished with value: 5.624930891218909 and parameters: {'x': 1.4332515629066673, 'y': 0.17797717789785095}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,403] Trial 113 finished with value: 6.094411408044536 and parameters: {'x': 0.8831892500246643, 'y': 1.7561596489534015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,404] Trial 114 finished with value: 10.350248108508522 and parameters: {'x': 0.5621434508607988, 'y': 3.8269720325807453}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,405] Trial 115 finished with value: 4.446371638664033 and parameters: {'x': 1.0795604822820097, 'y': 0.7805852288782855}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,406] Trial 116 finished with value: 11.379784239135127 and parameters: {'x': 3.635131315146991, 'y': 2.829311753826587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,407] Trial 117 finished with value: 9.874730007709653 and parameters: {'x': 3.4682953737404696, 'y': 0.8220673834864538}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,408] Trial 118 finished with value: 9.807764019725601 and parameters: {'x': 0.9494737467704817, 'y': 3.530087053993743}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,409] Trial 119 finished with value: 11.410294712002278 and parameters: {'x': 3.9871173808297056, 'y': 3.842963180939406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,410] Trial 120 finished with value: 7.719275347795678 and parameters: {'x': 2.0065123631697337, 'y': 1.5455205599702864}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,410] Trial 121 finished with value: 9.277457289195318 and parameters: {'x': 1.6182801213473015, 'y': 3.027341246168199}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,411] Trial 122 finished with value: 7.763855358987204 and parameters: {'x': 0.9363421887709489, 'y': 3.111505973359827}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,412] Trial 123 finished with value: 9.110185341215733 and parameters: {'x': 2.5624184237197096, 'y': 1.8247744584254226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,413] Trial 124 finished with value: 6.528727778503942 and parameters: {'x': 0.40511538340101305, 'y': 1.8765124216775555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,414] Trial 125 finished with value: 12.364248094899766 and parameters: {'x': 3.7277047674793513, 'y': 3.7247168959501478}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,415] Trial 126 finished with value: 11.011311935244251 and parameters: {'x': 2.3685755137917592, 'y': 3.3575240438917673}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,416] Trial 127 finished with value: 7.258172960937385 and parameters: {'x': 1.2317497913178186, 'y': 2.159008680800039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,417] Trial 128 finished with value: 7.430708868599407 and parameters: {'x': 2.3883691403099236, 'y': 0.09910389553271326}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,418] Trial 129 finished with value: 4.377886023640851 and parameters: {'x': 0.7326561110324659, 'y': 0.4290136452924571}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,419] Trial 130 finished with value: 9.679292695512402 and parameters: {'x': 3.7296188437089395, 'y': 0.15512078425954456}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,420] Trial 131 finished with value: 8.925525251448645 and parameters: {'x': 3.9106045264751623, 'y': 0.9588186728514732}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,421] Trial 132 finished with value: 6.6398318289712215 and parameters: {'x': 0.48236236064767146, 'y': 1.7600763848392056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,422] Trial 133 finished with value: 9.293731400441033 and parameters: {'x': 3.128480998346366, 'y': 1.7400833037468666}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,423] Trial 134 finished with value: 9.874323707396623 and parameters: {'x': 3.484209234756394, 'y': 1.0985066631040374}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,424] Trial 135 finished with value: 8.631833679924338 and parameters: {'x': 1.8948794514066605, 'y': 3.117613250216388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,425] Trial 136 finished with value: 10.275675796090006 and parameters: {'x': 3.3991273948311873, 'y': 1.8340578173776851}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,426] Trial 137 finished with value: 10.359721880073934 and parameters: {'x': 2.6267802049016957, 'y': 3.085700377707863}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,427] Trial 138 finished with value: 8.210833865250711 and parameters: {'x': 2.516363850598352, 'y': 0.8196266205695761}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,429] Trial 139 finished with value: 12.022924135876615 and parameters: {'x': 3.389095679740186, 'y': 3.3529398437885245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,430] Trial 140 finished with value: 9.304331326398993 and parameters: {'x': 1.642346402818133, 'y': 2.651197454795302}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,431] Trial 141 finished with value: 8.686674607755023 and parameters: {'x': 1.7089786565719036, 'y': 2.316092187475462}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,432] Trial 142 finished with value: 6.997240891390188 and parameters: {'x': 2.0776459027142766, 'y': 0.5371464989205403}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,433] Trial 143 finished with value: 9.576903304434243 and parameters: {'x': 3.7642216964945523, 'y': 0.9019122546912715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,434] Trial 144 finished with value: 9.803241032909828 and parameters: {'x': 3.5326499741645327, 'y': 0.9714572510032968}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,434] Trial 145 finished with value: 7.8071162529029365 and parameters: {'x': 0.9530674923667211, 'y': 2.7634909126453584}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,435] Trial 146 finished with value: 10.075231814652724 and parameters: {'x': 3.48441276263407, 'y': 0.7180431183628277}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,436] Trial 147 finished with value: 6.375922180024251 and parameters: {'x': 1.8046886318843813, 'y': 0.7459821381585212}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,437] Trial 148 finished with value: 9.413608486585655 and parameters: {'x': 3.933916726426555, 'y': 1.9585479049450258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,438] Trial 149 finished with value: 10.28412430704962 and parameters: {'x': 3.3148229892276877, 'y': 1.535581323171066}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,439] Trial 150 finished with value: 4.350627454821726 and parameters: {'x': 0.21250281775814894, 'y': 1.1646549470884318}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,440] Trial 151 finished with value: 9.291214543796979 and parameters: {'x': 3.767119014514924, 'y': 0.05554223443280559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,440] Trial 152 finished with value: 11.262615388974723 and parameters: {'x': 2.6782951778417865, 'y': 3.9068321042955114}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,441] Trial 153 finished with value: 7.037404672005643 and parameters: {'x': 1.5623448927156396, 'y': 1.2560764485773763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,442] Trial 154 finished with value: 6.290638213631119 and parameters: {'x': 0.9897733601874057, 'y': 1.578485331567916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,443] Trial 155 finished with value: 5.736349520417626 and parameters: {'x': 0.625380744133333, 'y': 1.2821182192654983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,444] Trial 156 finished with value: 6.766715854131045 and parameters: {'x': 2.027214829584737, 'y': 1.8991490484783213}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,444] Trial 157 finished with value: 10.87770316730678 and parameters: {'x': 2.4079485621216716, 'y': 3.282445457145102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,445] Trial 158 finished with value: 10.035889093507278 and parameters: {'x': 1.2347496820084465, 'y': 3.842653042199124}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,446] Trial 159 finished with value: 10.304801724231645 and parameters: {'x': 0.6662920601396958, 'y': 3.6561413772209934}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,447] Trial 160 finished with value: 7.637435938861136 and parameters: {'x': 1.9853065750934986, 'y': 1.4879383070697996}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,448] Trial 161 finished with value: 6.8235965706121124 and parameters: {'x': 1.4821404923034507, 'y': 1.2254013635508776}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,449] Trial 162 finished with value: 5.601998291743918 and parameters: {'x': 1.6890528206784348, 'y': 0.011438891268208184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,450] Trial 163 finished with value: 2.849084346027542 and parameters: {'x': 0.06295370518636378, 'y': 1.031830480408582}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,450] Trial 164 finished with value: 6.399098494880953 and parameters: {'x': 2.0751471528509584, 'y': 0.7772473107038773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,451] Trial 165 finished with value: 8.392320801794583 and parameters: {'x': 1.9414122925975796, 'y': 2.320254719400466}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,452] Trial 166 finished with value: 10.243672123912138 and parameters: {'x': 2.374158598267379, 'y': 3.127409484267983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,453] Trial 167 finished with value: 10.239794754974406 and parameters: {'x': 2.4530394334748618, 'y': 2.597858884115015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,454] Trial 168 finished with value: 8.664885822736856 and parameters: {'x': 2.3260047004211732, 'y': 1.4595369973445482}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,454] Trial 169 finished with value: 8.313484934031424 and parameters: {'x': 0.7976136598357257, 'y': 2.5722926319517176}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,455] Trial 170 finished with value: 7.439426909141176 and parameters: {'x': 0.892794726117486, 'y': 2.3176771815226087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,456] Trial 171 finished with value: 10.764393870053514 and parameters: {'x': 3.3966726052998424, 'y': 2.236227111224998}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,457] Trial 172 finished with value: 7.672732461844447 and parameters: {'x': 0.6565399271869343, 'y': 2.266383207388518}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,458] Trial 173 finished with value: 9.912718580952895 and parameters: {'x': 3.4427460583166134, 'y': 0.767008084023082}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,459] Trial 174 finished with value: 7.492130034499652 and parameters: {'x': 2.431786498107929, 'y': 0.0012019289323461635}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,459] Trial 175 finished with value: 11.432963250400805 and parameters: {'x': 2.398579419032148, 'y': 3.626689061898129}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,460] Trial 176 finished with value: 4.679324472600673 and parameters: {'x': 0.5046659693982054, 'y': 1.0136426491222448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,461] Trial 177 finished with value: 10.014653304662277 and parameters: {'x': 3.6656304163043663, 'y': 0.8136327917263362}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,462] Trial 178 finished with value: 9.42189561442088 and parameters: {'x': 2.9282945598665706, 'y': 2.2735780055911254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,463] Trial 179 finished with value: 8.238792467050876 and parameters: {'x': 0.9229106738167738, 'y': 3.1755356848963574}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,464] Trial 180 finished with value: 10.022809360818055 and parameters: {'x': 1.8937739918677239, 'y': 3.353392061020511}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,465] Trial 181 finished with value: 8.665501391018337 and parameters: {'x': 1.9430207704425881, 'y': 3.1412220082989495}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,465] Trial 182 finished with value: 10.499929595705158 and parameters: {'x': 1.6045313764477873, 'y': 3.3928183933266634}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,466] Trial 183 finished with value: 9.054465657737579 and parameters: {'x': 3.177504629624753, 'y': 1.881574039728204}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,467] Trial 184 finished with value: 3.241811376658486 and parameters: {'x': 0.5532265700325287, 'y': 0.061759306737271036}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,468] Trial 185 finished with value: 7.4816312909029214 and parameters: {'x': 2.24354351082847, 'y': 0.7086458008507504}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,469] Trial 186 finished with value: 8.508435442027885 and parameters: {'x': 2.8176162725062777, 'y': 0.3911023288613231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,470] Trial 187 finished with value: 4.003956371062326 and parameters: {'x': 0.857305088806247, 'y': 0.31075294610825965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,470] Trial 188 finished with value: 9.062669397549 and parameters: {'x': 2.5195873392164465, 'y': 2.027339028317335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,471] Trial 189 finished with value: 12.30418779730045 and parameters: {'x': 3.5218480070541975, 'y': 3.885144033046055}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,472] Trial 190 finished with value: 8.009208681763505 and parameters: {'x': 0.7113367701524909, 'y': 2.3745769144946838}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,473] Trial 191 finished with value: 12.315806722956946 and parameters: {'x': 3.5396118541352206, 'y': 3.879451669911221}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,474] Trial 192 finished with value: 10.020296150989592 and parameters: {'x': 3.469458015012512, 'y': 1.1690347203106715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,475] Trial 193 finished with value: 10.537264287309405 and parameters: {'x': 3.5770634585862493, 'y': 1.3211248037407284}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,475] Trial 194 finished with value: 10.289151352354983 and parameters: {'x': 2.569659832403738, 'y': 2.8024819222942092}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,476] Trial 195 finished with value: 3.731060228910131 and parameters: {'x': 0.24760921660013002, 'y': 0.5521423661189173}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,477] Trial 196 finished with value: 5.9435690466674735 and parameters: {'x': 1.3769545180557197, 'y': 0.7936675641809834}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,478] Trial 197 finished with value: 9.743775215528842 and parameters: {'x': 0.12280025833501451, 'y': 3.6135186276359184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,479] Trial 198 finished with value: 5.873860931591558 and parameters: {'x': 1.0968336994868557, 'y': 2.0440842501161494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,480] Trial 199 finished with value: 10.709851532989827 and parameters: {'x': 1.4035187216015639, 'y': 3.6233773243557295}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,481] Trial 200 finished with value: 9.954064110925012 and parameters: {'x': 3.726106479619608, 'y': 1.1507434606307019}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,481] Trial 201 finished with value: 9.176752015086375 and parameters: {'x': 2.9657694175449376, 'y': 1.6248824147200915}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,482] Trial 202 finished with value: 8.145954329559796 and parameters: {'x': 1.0228360176486495, 'y': 2.5618407253423037}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,483] Trial 203 finished with value: 6.436303642075089 and parameters: {'x': 0.1490956988241905, 'y': 2.189578164919726}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,484] Trial 204 finished with value: 11.111376943310047 and parameters: {'x': 3.8600995766607973, 'y': 2.749935443832355}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,485] Trial 205 finished with value: 9.129251992511671 and parameters: {'x': 1.1056290533154534, 'y': 3.962676922705223}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,485] Trial 206 finished with value: 8.370841149672748 and parameters: {'x': 3.239100750458276, 'y': 0.022500014848797267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,486] Trial 207 finished with value: 9.291509527012558 and parameters: {'x': 3.00568373091447, 'y': 3.0819509181231135}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,487] Trial 208 finished with value: 9.526550833010017 and parameters: {'x': 1.6196305250074117, 'y': 3.1125193232568216}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,488] Trial 209 finished with value: 9.615589923726578 and parameters: {'x': 3.267739114462778, 'y': 0.5385583215982779}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,489] Trial 210 finished with value: 9.531798143488427 and parameters: {'x': 0.25581569974990925, 'y': 3.3448825637277912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,490] Trial 211 finished with value: 8.604070357784977 and parameters: {'x': 0.46414482840332383, 'y': 2.832521354655352}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,491] Trial 212 finished with value: 10.38897582976456 and parameters: {'x': 1.8211110188726547, 'y': 3.7486718651916884}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,491] Trial 213 finished with value: 6.661796469044116 and parameters: {'x': 1.9281477756028131, 'y': 1.926628295959115}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,492] Trial 214 finished with value: 9.292910051092164 and parameters: {'x': 2.7294285878695597, 'y': 1.5245259127637056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,493] Trial 215 finished with value: 11.474812810352063 and parameters: {'x': 2.545072973407813, 'y': 3.482446850845249}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,494] Trial 216 finished with value: 5.7436489654843506 and parameters: {'x': 1.495433610786303, 'y': 0.15421009122365392}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,494] Trial 217 finished with value: 9.730716734806999 and parameters: {'x': 1.0030835880141065, 'y': 3.480006126880088}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,495] Trial 218 finished with value: 10.264000182790559 and parameters: {'x': 2.564834864793566, 'y': 2.484511186533039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,496] Trial 219 finished with value: 9.603307511303695 and parameters: {'x': 1.3610131034034234, 'y': 3.1908647326982806}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,497] Trial 220 finished with value: 4.369001281478198 and parameters: {'x': 1.188627464139461, 'y': 0.18369767028726258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,498] Trial 221 finished with value: 9.76991966254143 and parameters: {'x': 3.8988662451422833, 'y': 0.7602578472113932}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,499] Trial 222 finished with value: 7.137655618781169 and parameters: {'x': 0.8347420348689671, 'y': 2.2420510780813876}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,500] Trial 223 finished with value: 8.91040625724673 and parameters: {'x': 1.359216232474024, 'y': 2.9027621524655793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,500] Trial 224 finished with value: 11.368714852239679 and parameters: {'x': 2.6445670042252885, 'y': 3.876078195544568}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,501] Trial 225 finished with value: 10.370157440060499 and parameters: {'x': 3.388476359892063, 'y': 1.7522052503971564}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,502] Trial 226 finished with value: 11.459382868502663 and parameters: {'x': 3.4584850215221827, 'y': 2.5951719092807926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,503] Trial 227 finished with value: 10.992736541581595 and parameters: {'x': 2.7749761828694957, 'y': 3.8717898238860258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,504] Trial 228 finished with value: 7.960140413458749 and parameters: {'x': 0.9736103991275695, 'y': 3.148002172690902}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,504] Trial 229 finished with value: 10.377944264894046 and parameters: {'x': 2.5711654315986396, 'y': 2.664355196945022}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,505] Trial 230 finished with value: 6.558542754486279 and parameters: {'x': 1.617684226621781, 'y': 0.5009300791074658}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,506] Trial 231 finished with value: 9.801280921370413 and parameters: {'x': 3.348864026127328, 'y': 0.6625226793267869}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,507] Trial 232 finished with value: 9.167661545649594 and parameters: {'x': 2.481063154756097, 'y': 2.0968547757011087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,508] Trial 233 finished with value: 6.150568677473988 and parameters: {'x': 1.4320715535757742, 'y': 0.45112212163791376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,509] Trial 234 finished with value: 10.36635285952934 and parameters: {'x': 2.6644869443995005, 'y': 2.6897335048134448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,509] Trial 235 finished with value: 7.531591242768647 and parameters: {'x': 3.0831372403659976, 'y': 1.0036575398106162}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,510] Trial 236 finished with value: 10.035422239052489 and parameters: {'x': 3.5198774303521683, 'y': 1.1425514372805075}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,511] Trial 237 finished with value: 9.747190810113583 and parameters: {'x': 2.78954877508854, 'y': 2.2980258422520596}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,512] Trial 238 finished with value: 6.647193961090235 and parameters: {'x': 1.5618737305507815, 'y': 1.1428627402717866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,513] Trial 239 finished with value: 8.357914032300853 and parameters: {'x': 0.7818357971652818, 'y': 2.6659101963759047}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,514] Trial 240 finished with value: 9.656882953625262 and parameters: {'x': 3.2838729239453666, 'y': 1.2518782671452753}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,515] Trial 241 finished with value: 4.838606650477356 and parameters: {'x': 1.127651816024295, 'y': 0.7335738505655183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,515] Trial 242 finished with value: 12.064321613162095 and parameters: {'x': 3.3862929216823847, 'y': 3.8922095982680984}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,516] Trial 243 finished with value: 5.822931001256965 and parameters: {'x': 0.843687297412858, 'y': 1.9968974725397945}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,517] Trial 244 finished with value: 8.866855790726733 and parameters: {'x': 1.791902197140785, 'y': 2.4009084063607844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,518] Trial 245 finished with value: 6.557772166801325 and parameters: {'x': 1.9511937840850044, 'y': 1.2280913997344816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,519] Trial 246 finished with value: 9.787312354764817 and parameters: {'x': 3.3850961812501184, 'y': 1.1683630635558386}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,520] Trial 247 finished with value: 8.742829301568904 and parameters: {'x': 1.290558108097346, 'y': 2.4965225650679197}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,521] Trial 248 finished with value: 5.447490691876528 and parameters: {'x': 1.2059451471107838, 'y': 1.1624171543365662}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,522] Trial 249 finished with value: 9.027061550566758 and parameters: {'x': 1.9721500708771305, 'y': 2.5821701263026706}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,523] Trial 250 finished with value: 8.370883952152802 and parameters: {'x': 2.0538727135449584, 'y': 3.0770091803969715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,524] Trial 251 finished with value: 6.1153726013671275 and parameters: {'x': 0.8027764524925125, 'y': 2.032544886977046}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,524] Trial 252 finished with value: 10.426201145618794 and parameters: {'x': 3.530000655936235, 'y': 1.9646909371038488}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,525] Trial 253 finished with value: 11.504352063246044 and parameters: {'x': 3.816490922242502, 'y': 2.574605945133567}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,526] Trial 254 finished with value: 3.6130679732594935 and parameters: {'x': 0.23439520071222253, 'y': 0.9496283244843569}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,527] Trial 255 finished with value: 8.960956292931078 and parameters: {'x': 2.429179382846859, 'y': 2.0614389779376254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,528] Trial 256 finished with value: 7.364789420958257 and parameters: {'x': 3.035093792038067, 'y': 0.9398447121883335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,529] Trial 257 finished with value: 9.673715570709936 and parameters: {'x': 3.1085749997602905, 'y': 3.082467370803549}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,530] Trial 258 finished with value: 9.00033912597185 and parameters: {'x': 1.7433926655885386, 'y': 2.815818892405104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,531] Trial 259 finished with value: 11.24134202520955 and parameters: {'x': 3.830897877980727, 'y': 3.1785503483468083}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,532] Trial 260 finished with value: 9.610231355415435 and parameters: {'x': 0.43688167234642616, 'y': 3.277646712875464}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,533] Trial 261 finished with value: 8.21666138796502 and parameters: {'x': 2.542123575455598, 'y': 0.2751187058016402}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,534] Trial 262 finished with value: 10.75947517839813 and parameters: {'x': 1.5247058737186108, 'y': 3.968763572725166}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,535] Trial 263 finished with value: 9.476301269444532 and parameters: {'x': 3.410888705095577, 'y': 0.13987760450072928}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,536] Trial 264 finished with value: 8.128276506902818 and parameters: {'x': 0.9167791726823133, 'y': 2.5520365155606983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,537] Trial 265 finished with value: 5.660390527847323 and parameters: {'x': 0.13316563567089323, 'y': 1.7738623850744313}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,538] Trial 266 finished with value: 10.03745409879572 and parameters: {'x': 2.4562187521087386, 'y': 2.419717111405486}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,539] Trial 267 finished with value: 10.560729471075781 and parameters: {'x': 3.5383932628189894, 'y': 2.0750260479642955}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,540] Trial 268 finished with value: 6.911335606142488 and parameters: {'x': 1.8383476485245498, 'y': 1.269369919672592}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,541] Trial 269 finished with value: 6.263776883229383 and parameters: {'x': 1.8146924690185848, 'y': 0.7771183396725552}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,542] Trial 270 finished with value: 3.192283264509687 and parameters: {'x': 0.5438691082990537, 'y': 0.03168737130430621}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,543] Trial 271 finished with value: 9.25236139200286 and parameters: {'x': 1.163392218103672, 'y': 3.268717065064702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,544] Trial 272 finished with value: 7.615378153862055 and parameters: {'x': 0.11342996964423246, 'y': 2.781838540120356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,545] Trial 273 finished with value: 12.083086480354083 and parameters: {'x': 3.718917140075738, 'y': 3.3135414546878836}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,546] Trial 274 finished with value: 8.673172499161506 and parameters: {'x': 2.7587041874302267, 'y': 2.001624771327751}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,547] Trial 275 finished with value: 8.175856457154929 and parameters: {'x': 2.262024392522807, 'y': 2.048018787543821}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,548] Trial 276 finished with value: 6.027361661814201 and parameters: {'x': 1.1483245406422165, 'y': 1.9641797906360914}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,549] Trial 277 finished with value: 10.26132967547642 and parameters: {'x': 1.2170697034940483, 'y': 3.6809586684084397}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,550] Trial 278 finished with value: 6.584369196688137 and parameters: {'x': 1.4804530139174736, 'y': 1.1573874484627762}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,551] Trial 279 finished with value: 8.199773560716626 and parameters: {'x': 2.2385982079618105, 'y': 1.7941482446178587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,552] Trial 280 finished with value: 8.719226999352626 and parameters: {'x': 2.330905924819994, 'y': 1.7269819988722892}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,553] Trial 281 finished with value: 7.9595970366033875 and parameters: {'x': 2.5626694586361602, 'y': 0.14912568287478267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,554] Trial 282 finished with value: 11.329548540338816 and parameters: {'x': 3.431748611790516, 'y': 2.4684755464465375}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,555] Trial 283 finished with value: 5.9275598315386375 and parameters: {'x': 2.092801441089609, 'y': 1.0540812353681415}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,555] Trial 284 finished with value: 7.6442036867422924 and parameters: {'x': 2.1315161168892627, 'y': 1.342052211185913}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,556] Trial 285 finished with value: 5.336605414006623 and parameters: {'x': 1.2293885830337024, 'y': 0.39436061033300085}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,557] Trial 286 finished with value: 8.748815175839605 and parameters: {'x': 1.5092662387537024, 'y': 2.33469150262076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,558] Trial 287 finished with value: 10.33057890967017 and parameters: {'x': 3.8696424603175674, 'y': 1.7529400600215008}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,559] Trial 288 finished with value: 8.919797455084531 and parameters: {'x': 2.736416794176971, 'y': 2.0760583880204533}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,560] Trial 289 finished with value: 4.441157898677751 and parameters: {'x': 0.6958328287107154, 'y': 0.470775876927795}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,561] Trial 290 finished with value: 3.900552561783101 and parameters: {'x': 0.5199313793034581, 'y': 0.32732432513248844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,562] Trial 291 finished with value: 8.4180528356603 and parameters: {'x': 0.7484945528039133, 'y': 2.6092566567467186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,563] Trial 292 finished with value: 5.13151636527822 and parameters: {'x': 1.2725579972339172, 'y': 0.24811942487439165}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,564] Trial 293 finished with value: 9.467588278822692 and parameters: {'x': 2.8308688610430583, 'y': 3.0095214839284186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,565] Trial 294 finished with value: 11.40932682166175 and parameters: {'x': 3.5016671059800655, 'y': 3.068332225841167}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,566] Trial 295 finished with value: 11.661897145446092 and parameters: {'x': 3.4223465922726612, 'y': 3.2012730241498057}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,567] Trial 296 finished with value: 9.123309357405901 and parameters: {'x': 2.732092776659147, 'y': 2.127504908381725}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,568] Trial 297 finished with value: 9.58492096234577 and parameters: {'x': 2.812843939728247, 'y': 2.910435060816296}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,569] Trial 298 finished with value: 9.565362051884232 and parameters: {'x': 3.130495435347729, 'y': 2.9985457513559854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,570] Trial 299 finished with value: 7.688521848293625 and parameters: {'x': 2.3808104012848714, 'y': 0.9405175456205148}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,571] Trial 300 finished with value: 9.268401643125605 and parameters: {'x': 2.660731982373358, 'y': 1.6961501616917607}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,572] Trial 301 finished with value: 11.756809498893748 and parameters: {'x': 3.5227386286659543, 'y': 3.1848834998657916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,573] Trial 302 finished with value: 9.282918995429277 and parameters: {'x': 1.600901891232203, 'y': 2.7736174889703293}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,574] Trial 303 finished with value: 7.659822694499102 and parameters: {'x': 2.3514385867290546, 'y': 0.8604323469568076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,575] Trial 304 finished with value: 10.947484710652777 and parameters: {'x': 3.32130714864281, 'y': 3.0857173995915015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,576] Trial 305 finished with value: 9.941649002120565 and parameters: {'x': 3.4685901543950464, 'y': 0.7841745036496555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,577] Trial 306 finished with value: 6.27356836019511 and parameters: {'x': 0.9345120049722722, 'y': 1.5947313886006702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,578] Trial 307 finished with value: 11.83364009119155 and parameters: {'x': 3.753370456866888, 'y': 3.9573484830875594}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,579] Trial 308 finished with value: 11.087232620133545 and parameters: {'x': 2.279350606371401, 'y': 3.7268743041396815}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,580] Trial 309 finished with value: 9.951975997023917 and parameters: {'x': 1.2403215035040316, 'y': 3.907655524302301}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,581] Trial 310 finished with value: 7.450686198128425 and parameters: {'x': 1.4513014117435676, 'y': 1.4980418365942643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,582] Trial 311 finished with value: 8.217850926127987 and parameters: {'x': 2.4311030505177547, 'y': 0.6706713636599648}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,582] Trial 312 finished with value: 12.406694735290257 and parameters: {'x': 3.445533620110704, 'y': 3.6864830191075653}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,583] Trial 313 finished with value: 8.355448839522436 and parameters: {'x': 2.4767818245907787, 'y': 0.4945173522551629}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,584] Trial 314 finished with value: 6.283579650025068 and parameters: {'x': 1.7752592462908199, 'y': 0.7951081388275099}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,585] Trial 315 finished with value: 8.632220504465216 and parameters: {'x': 0.5643025059386781, 'y': 2.684344565673266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,586] Trial 316 finished with value: 6.173476799859856 and parameters: {'x': 0.9955169767369765, 'y': 1.479993490627923}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,587] Trial 317 finished with value: 10.075216693479428 and parameters: {'x': 1.3868514166713086, 'y': 3.2996527689371966}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,588] Trial 318 finished with value: 9.83265703053972 and parameters: {'x': 3.366594797411336, 'y': 0.37837696063200044}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,589] Trial 319 finished with value: 5.7641899377365355 and parameters: {'x': 1.0936157216969309, 'y': 2.0154939269359304}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,590] Trial 320 finished with value: 8.039049361310239 and parameters: {'x': 3.17926984150359, 'y': 0.0792946855486929}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,591] Trial 321 finished with value: 6.374372677227711 and parameters: {'x': 2.1576817063632108, 'y': 0.1816974223108332}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,592] Trial 322 finished with value: 10.692914630859786 and parameters: {'x': 2.191060676892676, 'y': 3.7523333591725074}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,593] Trial 323 finished with value: 4.272621529228328 and parameters: {'x': 0.5120655829592051, 'y': 0.49862800124716555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,594] Trial 324 finished with value: 5.667686004248164 and parameters: {'x': 1.974151489946808, 'y': 1.0873543411469573}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,595] Trial 325 finished with value: 3.14911825941741 and parameters: {'x': 0.05384257085487931, 'y': 0.5119500254322102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,595] Trial 326 finished with value: 11.430558534518452 and parameters: {'x': 3.167994699715818, 'y': 3.7564746079924434}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,596] Trial 327 finished with value: 9.519234463129628 and parameters: {'x': 3.922791270118661, 'y': 1.9209613389345819}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,597] Trial 328 finished with value: 8.54792782659565 and parameters: {'x': 0.6676983242757633, 'y': 2.7206798714034965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,598] Trial 329 finished with value: 10.343957494971903 and parameters: {'x': 3.796174706674506, 'y': 1.7961720398228866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,599] Trial 330 finished with value: 7.393260976478766 and parameters: {'x': 0.9303477639875446, 'y': 2.8881061672077695}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,600] Trial 331 finished with value: 4.168211622506824 and parameters: {'x': 0.568033427516911, 'y': 0.40076474146192886}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,601] Trial 332 finished with value: 8.352151380568776 and parameters: {'x': 2.5248892794224953, 'y': 0.37669484776274276}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,602] Trial 333 finished with value: 10.372212386228597 and parameters: {'x': 0.5486382147448605, 'y': 3.8023016805571226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,603] Trial 334 finished with value: 11.465116931323431 and parameters: {'x': 2.5549011493678657, 'y': 3.9985995148160476}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,604] Trial 335 finished with value: 7.533651547982446 and parameters: {'x': 3.1122260433973805, 'y': 0.06789981521679245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,605] Trial 336 finished with value: 4.518450949546146 and parameters: {'x': 0.8319125264768537, 'y': 0.5088830882153448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,606] Trial 337 finished with value: 11.187215237484192 and parameters: {'x': 2.2890048592452192, 'y': 3.637230987841597}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,607] Trial 338 finished with value: 10.631217468377777 and parameters: {'x': 3.212460725698297, 'y': 3.151238069716407}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,608] Trial 339 finished with value: 7.915541564276795 and parameters: {'x': 2.74287845774048, 'y': 0.9216415115955656}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,609] Trial 340 finished with value: 9.673978866468232 and parameters: {'x': 3.7908591198317727, 'y': 0.1932091267248519}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,610] Trial 341 finished with value: 5.40304171497252 and parameters: {'x': 0.954423029584103, 'y': 1.969828102065398}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,611] Trial 342 finished with value: 12.042616210694453 and parameters: {'x': 3.3733840526910974, 'y': 3.376876997921342}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,612] Trial 343 finished with value: 8.785656690828066 and parameters: {'x': 0.5127988159592372, 'y': 3.034373595835823}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,613] Trial 344 finished with value: 8.058158484803876 and parameters: {'x': 1.1635372808096633, 'y': 3.0573367491756858}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,614] Trial 345 finished with value: 10.362114273889164 and parameters: {'x': 3.347100872005856, 'y': 1.5076593906340912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,615] Trial 346 finished with value: 11.392777604957166 and parameters: {'x': 2.7909279129092934, 'y': 3.6798647776849185}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,616] Trial 347 finished with value: 8.257572560266517 and parameters: {'x': 1.8747106902665256, 'y': 2.9264405129485396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,616] Trial 348 finished with value: 1.191533546628932 and parameters: {'x': 0.04098816215805545, 'y': 0.17575252540152997}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,618] Trial 349 finished with value: 6.528414693370539 and parameters: {'x': 2.0986759869413723, 'y': 1.1635260998377377}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,619] Trial 350 finished with value: 4.578848126507644 and parameters: {'x': 0.7850809443858684, 'y': 0.5846514384255186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,620] Trial 351 finished with value: 4.717440335628027 and parameters: {'x': 1.0561713549229714, 'y': 1.1750808591313686}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,621] Trial 352 finished with value: 8.62433938989944 and parameters: {'x': 2.914436298305064, 'y': 0.5192348455391631}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,621] Trial 353 finished with value: 8.28157910362034 and parameters: {'x': 2.515171096976729, 'y': 0.7715967853955292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,623] Trial 354 finished with value: 8.031780167962317 and parameters: {'x': 2.499557269956178, 'y': 0.2222792532667559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,623] Trial 355 finished with value: 9.137449237447111 and parameters: {'x': 1.677582622614922, 'y': 3.023643543029472}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,624] Trial 356 finished with value: 9.799768279881432 and parameters: {'x': 0.9309103481609493, 'y': 3.653612348612905}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,625] Trial 357 finished with value: 9.14726937689981 and parameters: {'x': 0.9114826668177916, 'y': 3.8759524431225048}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,626] Trial 358 finished with value: 8.644835094085106 and parameters: {'x': 1.2588950259545113, 'y': 2.48788875134704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,627] Trial 359 finished with value: 9.053231827241326 and parameters: {'x': 0.5869817235510006, 'y': 3.130377458831803}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,628] Trial 360 finished with value: 3.411285954506919 and parameters: {'x': 0.7050586121580449, 'y': 0.12680082581006102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,629] Trial 361 finished with value: 6.447468025493851 and parameters: {'x': 1.4220967532913322, 'y': 1.1594983078421475}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,630] Trial 362 finished with value: 9.813601898285599 and parameters: {'x': 3.685269522802166, 'y': 0.8893489297364794}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,631] Trial 363 finished with value: 8.104774870743212 and parameters: {'x': 2.532211234879781, 'y': 0.2291961280504231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,632] Trial 364 finished with value: 11.567426758994019 and parameters: {'x': 3.580392966262677, 'y': 2.534915475101615}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,633] Trial 365 finished with value: 6.430551183634282 and parameters: {'x': 1.8510739401287246, 'y': 0.36315241813681265}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,634] Trial 366 finished with value: 10.196750361368728 and parameters: {'x': 3.9286133392638902, 'y': 3.0065275678507266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,635] Trial 367 finished with value: 11.204693514709696 and parameters: {'x': 3.7055910447225733, 'y': 2.308877509177674}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,636] Trial 368 finished with value: 6.634120639228918 and parameters: {'x': 1.778248827954719, 'y': 0.47372214586660366}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,637] Trial 369 finished with value: 5.539252636912586 and parameters: {'x': 0.013568479012842527, 'y': 1.7195890827411842}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,638] Trial 370 finished with value: 5.976968207153636 and parameters: {'x': 1.7824860939905829, 'y': 0.9016025301978696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,639] Trial 371 finished with value: 5.264081263969686 and parameters: {'x': 1.2636779461519687, 'y': 1.0270311801286396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,640] Trial 372 finished with value: 9.719222267426572 and parameters: {'x': 1.0181424006401238, 'y': 3.686905356694062}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,641] Trial 373 finished with value: 9.17258988928529 and parameters: {'x': 3.0146465869507315, 'y': 1.4200477277472183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,642] Trial 374 finished with value: 10.448858271486321 and parameters: {'x': 1.9164062512120363, 'y': 3.610922045132941}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,643] Trial 375 finished with value: 8.29517954260463 and parameters: {'x': 3.0542344761550297, 'y': 0.7503530230121647}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,644] Trial 376 finished with value: 5.46022332083805 and parameters: {'x': 1.3498322891457715, 'y': 0.23519239497756717}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,644] Trial 377 finished with value: 10.31151529518906 and parameters: {'x': 1.232620618038632, 'y': 3.6810969767719772}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,645] Trial 378 finished with value: 9.620428111076176 and parameters: {'x': 0.05302978990486018, 'y': 3.5562617518764283}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,646] Trial 379 finished with value: 7.145067016910065 and parameters: {'x': 2.8704006458623246, 'y': 0.05856204340429816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,647] Trial 380 finished with value: 7.615509022271754 and parameters: {'x': 2.0298324622047974, 'y': 1.4358335026956333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,648] Trial 381 finished with value: 10.916095141366544 and parameters: {'x': 2.3697860126664643, 'y': 3.321808345274754}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,649] Trial 382 finished with value: 12.399401740420132 and parameters: {'x': 3.466580215969038, 'y': 3.519267049908465}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,650] Trial 383 finished with value: 12.44262680181242 and parameters: {'x': 3.7310071734911925, 'y': 3.6643780634045138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,651] Trial 384 finished with value: 9.142527082249929 and parameters: {'x': 2.882719416839632, 'y': 1.6461840523728104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,652] Trial 385 finished with value: 9.239754233553501 and parameters: {'x': 2.5759608140989747, 'y': 1.5391631459672297}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,653] Trial 386 finished with value: 6.284598645056207 and parameters: {'x': 0.8702285303132826, 'y': 1.672129456953738}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,654] Trial 387 finished with value: 10.152804966108985 and parameters: {'x': 3.6934629366226015, 'y': 0.744845969281184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,655] Trial 388 finished with value: 3.389312682331248 and parameters: {'x': 0.053694591129884284, 'y': 1.1261876829075792}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,656] Trial 389 finished with value: 10.283447623535013 and parameters: {'x': 3.2388795618896027, 'y': 2.974622653487798}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,657] Trial 390 finished with value: 11.302617455565434 and parameters: {'x': 3.515598201960283, 'y': 2.908952204458161}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,658] Trial 391 finished with value: 11.125939966673439 and parameters: {'x': 2.4941310914546113, 'y': 3.325759234467637}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,659] Trial 392 finished with value: 10.816812218801022 and parameters: {'x': 2.4885158267517737, 'y': 3.224158476295799}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,660] Trial 393 finished with value: 10.050727622585395 and parameters: {'x': 1.2107379893350432, 'y': 3.4332492569334763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,661] Trial 394 finished with value: 5.95575827799291 and parameters: {'x': 0.6692460786760335, 'y': 1.3454235380425494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,662] Trial 395 finished with value: 8.903415776483602 and parameters: {'x': 1.006126472829457, 'y': 3.279586119031793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,663] Trial 396 finished with value: 4.547039657651432 and parameters: {'x': 0.7650725322320575, 'y': 0.5336811286061329}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,663] Trial 397 finished with value: 7.646434899367684 and parameters: {'x': 1.5191921106060464, 'y': 1.9600495063208347}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,664] Trial 398 finished with value: 8.23501821441278 and parameters: {'x': 2.464469780852896, 'y': 0.7313268391281604}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,665] Trial 399 finished with value: 8.78323456105996 and parameters: {'x': 2.3595946161420396, 'y': 1.4770688236450096}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,666] Trial 400 finished with value: 11.07950687309173 and parameters: {'x': 2.7633452013271462, 'y': 3.8532351310288586}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,667] Trial 401 finished with value: 9.011181143989141 and parameters: {'x': 0.655696041444696, 'y': 3.149145726131916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,668] Trial 402 finished with value: 0.21108155708882137 and parameters: {'x': 0.025106650762250826, 'y': 0.044143703865536565}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,669] Trial 403 finished with value: 4.526352639294384 and parameters: {'x': 0.6040185419770716, 'y': 0.5878079950089186}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,670] Trial 404 finished with value: 10.340964653977816 and parameters: {'x': 3.922897219307625, 'y': 0.49698547657353664}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,671] Trial 405 finished with value: 11.540325958618682 and parameters: {'x': 2.71638072852915, 'y': 3.569585834030987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,672] Trial 406 finished with value: 6.933258476365397 and parameters: {'x': 2.959069099663764, 'y': 0.04356363809009567}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,673] Trial 407 finished with value: 10.254178574604502 and parameters: {'x': 2.6298707108398554, 'y': 2.4547503705112566}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,674] Trial 408 finished with value: 10.405598398037926 and parameters: {'x': 1.7389756543820347, 'y': 3.3948028236020438}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,675] Trial 409 finished with value: 10.05170557739612 and parameters: {'x': 2.1334557265352014, 'y': 3.868058156883832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,676] Trial 410 finished with value: 7.887839083942328 and parameters: {'x': 1.6287170896550038, 'y': 2.0897524947265884}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,677] Trial 411 finished with value: 10.097956892334187 and parameters: {'x': 0.26943310227075745, 'y': 3.6493057219845557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,678] Trial 412 finished with value: 12.397487232313319 and parameters: {'x': 3.6728053515894983, 'y': 3.7555399684970867}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,679] Trial 413 finished with value: 7.7502659636836295 and parameters: {'x': 2.1963460321873667, 'y': 1.8724424201058856}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,680] Trial 414 finished with value: 12.241300305489641 and parameters: {'x': 3.4785432697512286, 'y': 3.923978720743307}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,681] Trial 415 finished with value: 9.624761197683 and parameters: {'x': 2.996713083928662, 'y': 2.3080426422065425}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,682] Trial 416 finished with value: 8.886410547926278 and parameters: {'x': 0.10292278890589968, 'y': 3.986448817996}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,683] Trial 417 finished with value: 12.100939315290324 and parameters: {'x': 3.771874453396725, 'y': 3.3433333766881055}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,684] Trial 418 finished with value: 9.49851289582427 and parameters: {'x': 1.3519286769698113, 'y': 3.172081894155109}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,685] Trial 419 finished with value: 8.485090347805786 and parameters: {'x': 2.7821019543892733, 'y': 0.3698217566305906}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,686] Trial 420 finished with value: 7.063063066010319 and parameters: {'x': 0.5229450172512125, 'y': 2.09602817646162}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,687] Trial 421 finished with value: 7.590651626257822 and parameters: {'x': 2.280842459714937, 'y': 1.1567589240790626}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,688] Trial 422 finished with value: 10.344647702828512 and parameters: {'x': 3.8273839653448762, 'y': 0.5691294933683881}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,689] Trial 423 finished with value: 8.547161960427571 and parameters: {'x': 1.2455727745592617, 'y': 2.4579433723422466}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,690] Trial 424 finished with value: 2.526398416087993 and parameters: {'x': 0.346073360573548, 'y': 0.07793340180577557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,691] Trial 425 finished with value: 10.148507008831835 and parameters: {'x': 3.999959224017629, 'y': 2.1755982994371954}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,692] Trial 426 finished with value: 9.038592963824982 and parameters: {'x': 2.591949962224946, 'y': 1.9928356931176459}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,693] Trial 427 finished with value: 6.9931641066296955 and parameters: {'x': 2.236211904249122, 'y': 0.21387538672672113}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,694] Trial 428 finished with value: 9.134617235514785 and parameters: {'x': 3.158548992949356, 'y': 2.116827573324681}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,695] Trial 429 finished with value: 3.261339563420208 and parameters: {'x': 1.095888545241697, 'y': 0.08121109210178323}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,696] Trial 430 finished with value: 5.795248953033454 and parameters: {'x': 0.7365576458376459, 'y': 1.3205923166777298}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,697] Trial 431 finished with value: 12.252994876582656 and parameters: {'x': 3.9556281513375544, 'y': 3.599134727042208}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,698] Trial 432 finished with value: 9.50669025502117 and parameters: {'x': 2.2612986337706773, 'y': 2.8305818026196548}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,699] Trial 433 finished with value: 6.17155536225377 and parameters: {'x': 1.4535549443577427, 'y': 0.8061218372041883}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,700] Trial 434 finished with value: 7.330274947797166 and parameters: {'x': 2.998473426438397, 'y': 1.0577641880364999}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,701] Trial 435 finished with value: 8.234903033718643 and parameters: {'x': 2.6969037673592906, 'y': 1.1116266886879185}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,702] Trial 436 finished with value: 10.626381760856646 and parameters: {'x': 2.4911711112382458, 'y': 3.1667404829508645}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,703] Trial 437 finished with value: 6.508127609588357 and parameters: {'x': 1.7007902059654354, 'y': 0.39030525510783143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,704] Trial 438 finished with value: 9.044811275943646 and parameters: {'x': 1.7013920933763602, 'y': 2.858407769926415}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,705] Trial 439 finished with value: 9.008508877213199 and parameters: {'x': 3.041837585563343, 'y': 2.191445148488896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,706] Trial 440 finished with value: 11.905780093271849 and parameters: {'x': 3.226206925709196, 'y': 3.5904942026565596}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,707] Trial 441 finished with value: 9.93731915889512 and parameters: {'x': 3.349901621290708, 'y': 1.2592206426730508}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,708] Trial 442 finished with value: 8.975206970956329 and parameters: {'x': 2.1533551473851507, 'y': 2.3477216015918714}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,709] Trial 443 finished with value: 11.022339107405864 and parameters: {'x': 3.7218204317554098, 'y': 2.969339733446317}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,710] Trial 444 finished with value: 7.793452455376546 and parameters: {'x': 2.9749405864994456, 'y': 0.8144062904287135}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,711] Trial 445 finished with value: 5.3928498697735385 and parameters: {'x': 1.0023536798403767, 'y': 1.9609821375155065}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,712] Trial 446 finished with value: 8.44113147671768 and parameters: {'x': 0.578915866335016, 'y': 2.514276989395927}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,713] Trial 447 finished with value: 9.260996483941742 and parameters: {'x': 2.546649800269987, 'y': 2.103928080274987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,714] Trial 448 finished with value: 8.355894074982917 and parameters: {'x': 2.4916755111872475, 'y': 0.443576668606922}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,715] Trial 449 finished with value: 10.857185288969665 and parameters: {'x': 3.9927550695232834, 'y': 2.780052820739364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,716] Trial 450 finished with value: 9.6700383959976 and parameters: {'x': 3.372010239312165, 'y': 0.27511738674902375}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,717] Trial 451 finished with value: 9.626184795100908 and parameters: {'x': 0.7461085156314828, 'y': 3.337309217922648}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,718] Trial 452 finished with value: 9.649121603028515 and parameters: {'x': 2.789330472287906, 'y': 2.935068581388643}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,719] Trial 453 finished with value: 5.052213553206837 and parameters: {'x': 0.2620305670474905, 'y': 1.2484923925015976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,720] Trial 454 finished with value: 9.222251359304856 and parameters: {'x': 2.782626659345648, 'y': 1.4677608336129824}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,721] Trial 455 finished with value: 10.436945315860191 and parameters: {'x': 3.6936877337548544, 'y': 1.8510790107698516}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,722] Trial 456 finished with value: 4.962481628455059 and parameters: {'x': 0.4089812959284349, 'y': 1.1398111353619549}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,723] Trial 457 finished with value: 6.51230720914808 and parameters: {'x': 1.6231294294881788, 'y': 0.7295441233125257}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,724] Trial 458 finished with value: 10.56229721261589 and parameters: {'x': 1.650641190443264, 'y': 3.426933525709896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,724] Trial 459 finished with value: 9.653118757839884 and parameters: {'x': 2.61592306415803, 'y': 2.2206931869195916}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,725] Trial 460 finished with value: 10.67350425509411 and parameters: {'x': 1.7521963772660163, 'y': 3.558573523393536}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,726] Trial 461 finished with value: 8.708600936674987 and parameters: {'x': 1.9271105969994888, 'y': 2.393237861052923}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,727] Trial 462 finished with value: 3.7506086448421634 and parameters: {'x': 1.0494635736730475, 'y': 0.9584980735204098}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,728] Trial 463 finished with value: 9.598474512965854 and parameters: {'x': 0.03539959574504348, 'y': 3.6231365952220584}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,729] Trial 464 finished with value: 8.974946699354579 and parameters: {'x': 0.9809944954317862, 'y': 3.8863509276479857}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,730] Trial 465 finished with value: 7.772058988673429 and parameters: {'x': 1.0510947219993967, 'y': 3.1081610988411383}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,731] Trial 466 finished with value: 9.276000540651202 and parameters: {'x': 2.6260969953224196, 'y': 2.113940854424979}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,732] Trial 467 finished with value: 9.471032643776867 and parameters: {'x': 0.743259416089181, 'y': 3.2970146386381223}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,733] Trial 468 finished with value: 10.259476572914593 and parameters: {'x': 3.8217833488349022, 'y': 0.6361069051358492}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,734] Trial 469 finished with value: 6.457099650100211 and parameters: {'x': 0.7645348847707507, 'y': 1.6984123902533894}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,735] Trial 470 finished with value: 2.063085021632414 and parameters: {'x': 0.19769269071737483, 'y': 0.18945631103221228}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,736] Trial 471 finished with value: 4.207855684959583 and parameters: {'x': 0.40157342389645523, 'y': 0.594188019456364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,737] Trial 472 finished with value: 4.146218703746907 and parameters: {'x': 0.3423750083190007, 'y': 0.8019459319131306}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,738] Trial 473 finished with value: 10.01353546655346 and parameters: {'x': 2.5958179050471477, 'y': 2.341003534870675}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,739] Trial 474 finished with value: 9.569395460866058 and parameters: {'x': 1.510089205063304, 'y': 3.1127636951494377}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,740] Trial 475 finished with value: 6.283597376683087 and parameters: {'x': 0.7360855719356194, 'y': 1.9490968776301902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,741] Trial 476 finished with value: 7.869681957805096 and parameters: {'x': 0.9096106796882286, 'y': 2.764915570387479}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,742] Trial 477 finished with value: 11.192095977398395 and parameters: {'x': 2.8037299655192665, 'y': 3.7620631677983236}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,743] Trial 478 finished with value: 4.427443669547809 and parameters: {'x': 0.6591004528098448, 'y': 0.47741899872377846}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,744] Trial 479 finished with value: 10.354234141119697 and parameters: {'x': 3.7934581813527313, 'y': 0.44935790813022347}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,744] Trial 480 finished with value: 11.472892968979941 and parameters: {'x': 3.6969090560602127, 'y': 3.1385155822785213}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,745] Trial 481 finished with value: 9.575248257035602 and parameters: {'x': 0.7423717629231437, 'y': 3.3220258703289143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,746] Trial 482 finished with value: 6.708094948839129 and parameters: {'x': 0.11392226349831924, 'y': 2.248702684925605}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,747] Trial 483 finished with value: 7.512671613029504 and parameters: {'x': 1.6545076524482751, 'y': 1.4079545649809178}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,748] Trial 484 finished with value: 9.225371873776844 and parameters: {'x': 3.1197440455956627, 'y': 1.7480286992791503}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,749] Trial 485 finished with value: 8.644775582144975 and parameters: {'x': 3.277433870074068, 'y': 0.03762725050179805}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,751] Trial 486 finished with value: 9.34806610224668 and parameters: {'x': 2.130809674433918, 'y': 2.559396381704046}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,752] Trial 487 finished with value: 10.235510313932078 and parameters: {'x': 1.3029296167223055, 'y': 3.4136852817415533}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,753] Trial 488 finished with value: 8.505807953242515 and parameters: {'x': 2.715452161679803, 'y': 0.6948465727890976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,754] Trial 489 finished with value: 5.927707311877974 and parameters: {'x': 1.3414850400325458, 'y': 0.5075975702630036}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,755] Trial 490 finished with value: 11.103488669840118 and parameters: {'x': 2.319494070977358, 'y': 3.4488429902385724}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,756] Trial 491 finished with value: 10.355196985609664 and parameters: {'x': 3.96479539855673, 'y': 2.2110810986202902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,757] Trial 492 finished with value: 8.829678564856053 and parameters: {'x': 0.17281094473408487, 'y': 3.2493371853435034}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,758] Trial 493 finished with value: 6.7152972835150315 and parameters: {'x': 2.0030516525284563, 'y': 0.6144779672961334}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,759] Trial 494 finished with value: 8.83428182278424 and parameters: {'x': 0.4728307107402876, 'y': 3.058814201887216}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,760] Trial 495 finished with value: 4.5846587937858025 and parameters: {'x': 0.18319816044558834, 'y': 1.2216716397362832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,761] Trial 496 finished with value: 11.24437461300541 and parameters: {'x': 3.3709738172649604, 'y': 2.5037428477898285}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,762] Trial 497 finished with value: 10.611654875736399 and parameters: {'x': 2.1195657505770105, 'y': 3.6646007700484367}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,762] Trial 498 finished with value: 6.9973027578278995 and parameters: {'x': 1.9878017516227215, 'y': 1.8250387245599597}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,763] Trial 499 finished with value: 9.515740035109893 and parameters: {'x': 3.78782724739539, 'y': 0.15184831525247633}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,764] A new study created in memory with name: x=[1,3), y=[1,3)\n[I 2023-11-01 05:27:31,765] Trial 0 finished with value: 9.501280285096856 and parameters: {'x': 2.1795551304711878, 'y': 2.5469138645456475}. Best is trial 0 with value: 9.501280285096856.\n[I 2023-11-01 05:27:31,766] Trial 1 finished with value: 7.689690058529395 and parameters: {'x': 2.116941820323029, 'y': 1.3704460118285542}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:27:31,767] Trial 2 finished with value: 8.869154016661145 and parameters: {'x': 1.734893579523559, 'y': 2.3800301262465355}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:27:31,768] Trial 3 finished with value: 9.217083724375263 and parameters: {'x': 2.5463037482718427, 'y': 1.698250749178961}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:27:31,769] Trial 4 finished with value: 6.620326818681299 and parameters: {'x': 1.3418267714049732, 'y': 1.2749591602362444}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:27:31,769] Trial 5 finished with value: 9.947604021051855 and parameters: {'x': 2.328190210719468, 'y': 2.542129917484096}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:27:31,770] Trial 6 finished with value: 10.111364306571687 and parameters: {'x': 2.992415863822332, 'y': 2.445973518335129}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:27:31,771] Trial 7 finished with value: 8.117689709113845 and parameters: {'x': 2.518112634863238, 'y': 1.0345349209545471}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:27:31,772] Trial 8 finished with value: 8.599980015079133 and parameters: {'x': 1.985150133883719, 'y': 2.361999061196193}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:27:31,773] Trial 9 finished with value: 6.466307419325002 and parameters: {'x': 1.0815335322750994, 'y': 1.6010550958884728}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:27:31,774] Trial 10 finished with value: 8.748658037765297 and parameters: {'x': 1.983065686509458, 'y': 2.4013248906189615}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:27:31,775] Trial 11 finished with value: 4.280422047649996 and parameters: {'x': 1.0053750515354973, 'y': 1.1344853944712368}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,776] Trial 12 finished with value: 7.631641045157027 and parameters: {'x': 1.5136532280501904, 'y': 1.5621179581261906}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,777] Trial 13 finished with value: 5.126684569001355 and parameters: {'x': 1.0943183618191, 'y': 1.2102968958712526}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,778] Trial 14 finished with value: 9.200375404047493 and parameters: {'x': 1.485146457738034, 'y': 2.9442744467689}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,778] Trial 15 finished with value: 9.496066674328905 and parameters: {'x': 2.9893985683076987, 'y': 2.285295712632221}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,779] Trial 16 finished with value: 9.20722421376879 and parameters: {'x': 2.888794756172593, 'y': 2.9479421929365683}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,780] Trial 17 finished with value: 9.820418190182155 and parameters: {'x': 2.7489324125385366, 'y': 2.929928470528349}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,781] Trial 18 finished with value: 7.68682424815664 and parameters: {'x': 1.7693477747355273, 'y': 1.6880511561059623}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,782] Trial 19 finished with value: 6.23361005262851 and parameters: {'x': 1.0278738361908484, 'y': 1.4858953052005117}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,783] Trial 20 finished with value: 8.183951521175912 and parameters: {'x': 2.191259277116293, 'y': 1.4515483770275646}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,784] Trial 21 finished with value: 8.387527249929715 and parameters: {'x': 2.317659241765322, 'y': 1.9236263660786883}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,785] Trial 22 finished with value: 7.28969285733878 and parameters: {'x': 1.7768688655704867, 'y': 1.3408983120046298}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,786] Trial 23 finished with value: 9.661281182879502 and parameters: {'x': 2.2434246133626727, 'y': 2.706378756341615}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,787] Trial 24 finished with value: 9.241054440156928 and parameters: {'x': 1.639685998678829, 'y': 2.550800978853915}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,787] Trial 25 finished with value: 9.492202191083631 and parameters: {'x': 2.8437203833277316, 'y': 2.8949435337203635}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,788] Trial 26 finished with value: 8.739874474944795 and parameters: {'x': 1.459781325603565, 'y': 2.351888773662857}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,789] Trial 27 finished with value: 8.973115982363957 and parameters: {'x': 1.6843967683601837, 'y': 2.4048917604855475}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,790] Trial 28 finished with value: 8.47252181314089 and parameters: {'x': 2.922716542694479, 'y': 1.2624815334953179}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,791] Trial 29 finished with value: 7.849748665716774 and parameters: {'x': 2.0648190920986487, 'y': 1.5820191742716103}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,792] Trial 30 finished with value: 7.225452638805441 and parameters: {'x': 1.3323600161247302, 'y': 2.0169392602346585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,793] Trial 31 finished with value: 8.497265009934077 and parameters: {'x': 1.1907150947448137, 'y': 2.711658305757213}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,794] Trial 32 finished with value: 5.58563603594332 and parameters: {'x': 1.164753074337394, 'y': 1.226778345604655}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,795] Trial 33 finished with value: 7.513168780303209 and parameters: {'x': 1.438771558179375, 'y': 1.8561933890452214}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,796] Trial 34 finished with value: 10.036185032484997 and parameters: {'x': 2.7588346246330424, 'y': 2.8045362579158644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,796] Trial 35 finished with value: 9.725500430892048 and parameters: {'x': 2.248857539172614, 'y': 2.5451257493449897}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,797] Trial 36 finished with value: 9.303195937042831 and parameters: {'x': 2.6499797485839593, 'y': 2.129994395445907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,798] Trial 37 finished with value: 7.504659314912903 and parameters: {'x': 1.4170785888985076, 'y': 1.6023382914670337}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,799] Trial 38 finished with value: 7.594638748301016 and parameters: {'x': 1.8407705077703342, 'y': 1.4766582402639137}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,800] Trial 39 finished with value: 8.334347071558396 and parameters: {'x': 1.1195428355366783, 'y': 2.644368853359082}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,801] Trial 40 finished with value: 7.595379550393446 and parameters: {'x': 1.6520069020915964, 'y': 1.9757114648600385}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,802] Trial 41 finished with value: 8.914385594429811 and parameters: {'x': 1.6470517107976008, 'y': 2.376989100206301}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,803] Trial 42 finished with value: 7.0818112184634625 and parameters: {'x': 1.9628877719392275, 'y': 1.3183124993698585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,804] Trial 43 finished with value: 8.913268618568011 and parameters: {'x': 2.6933015848984994, 'y': 1.8982819389972656}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,805] Trial 44 finished with value: 6.274280378720249 and parameters: {'x': 1.0099471446301753, 'y': 1.527052381039326}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,806] Trial 45 finished with value: 5.204000585932636 and parameters: {'x': 1.216951047813766, 'y': 1.1013262039458973}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,806] Trial 46 finished with value: 9.741805624133733 and parameters: {'x': 2.5259678280944784, 'y': 2.259709570452115}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,807] Trial 47 finished with value: 6.296778616088442 and parameters: {'x': 1.5291890491860796, 'y': 1.0228639505783026}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,808] Trial 48 finished with value: 9.129572645190375 and parameters: {'x': 2.47957554253214, 'y': 1.581063419584534}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,809] Trial 49 finished with value: 10.03449672210819 and parameters: {'x': 2.4140777216988454, 'y': 2.8688241358588593}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,810] Trial 50 finished with value: 7.986420805613088 and parameters: {'x': 1.5869407958655537, 'y': 2.1086035965849828}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,811] Trial 51 finished with value: 7.78469008465053 and parameters: {'x': 1.3794951150973072, 'y': 2.133730616674673}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,812] Trial 52 finished with value: 10.346702498937645 and parameters: {'x': 2.6600353834124157, 'y': 2.5265542823496276}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,813] Trial 53 finished with value: 8.397521047633518 and parameters: {'x': 2.8978919897984197, 'y': 2.0946088457485397}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,814] Trial 54 finished with value: 8.729635565576425 and parameters: {'x': 2.3226416072190963, 'y': 2.1163001449679175}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,815] Trial 55 finished with value: 6.563335605862068 and parameters: {'x': 1.2163645109709191, 'y': 1.871269427619554}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,816] Trial 56 finished with value: 6.873609887768213 and parameters: {'x': 1.2251556830566572, 'y': 1.7367674345443647}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,817] Trial 57 finished with value: 8.80557668194253 and parameters: {'x': 2.3857385187069093, 'y': 1.8044692754689606}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,818] Trial 58 finished with value: 8.48024561077549 and parameters: {'x': 2.859408136043024, 'y': 1.8608932253951125}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,818] Trial 59 finished with value: 7.929450226423043 and parameters: {'x': 1.069350630996834, 'y': 2.4151552500515012}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,819] Trial 60 finished with value: 7.524695733250729 and parameters: {'x': 1.5090899388472594, 'y': 1.4852477824087806}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,820] Trial 61 finished with value: 6.916920537471675 and parameters: {'x': 1.641179571690034, 'y': 1.2137699988751192}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,821] Trial 62 finished with value: 10.022015362074939 and parameters: {'x': 2.354751893467662, 'y': 2.7214581032189935}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,822] Trial 63 finished with value: 5.569058505649405 and parameters: {'x': 1.8750334501787682, 'y': 1.0065938879959706}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,823] Trial 64 finished with value: 9.236481240422165 and parameters: {'x': 2.7225253991380605, 'y': 1.463453956459146}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,824] Trial 65 finished with value: 7.589909153165305 and parameters: {'x': 1.8828143174093952, 'y': 1.4849961540002887}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,825] Trial 66 finished with value: 6.057427416925147 and parameters: {'x': 1.1136598146306471, 'y': 2.0651176783638157}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,826] Trial 67 finished with value: 5.333604535066673 and parameters: {'x': 1.1521593149514442, 'y': 1.1967712091492033}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,827] Trial 68 finished with value: 8.47663339990434 and parameters: {'x': 2.7331662465388735, 'y': 1.1946410227095325}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,828] Trial 69 finished with value: 6.1557427755607605 and parameters: {'x': 2.115689757806627, 'y': 1.075954418838918}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,829] Trial 70 finished with value: 8.21432386178338 and parameters: {'x': 2.426697315572791, 'y': 1.1610984577096755}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,830] Trial 71 finished with value: 9.150950844862605 and parameters: {'x': 1.4810568123213028, 'y': 2.5428552435500063}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,831] Trial 72 finished with value: 6.446630137296186 and parameters: {'x': 1.9154490857784012, 'y': 1.2081435102536793}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,831] Trial 73 finished with value: 7.702963494527083 and parameters: {'x': 1.5491345118660198, 'y': 1.5939876007739795}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,832] Trial 74 finished with value: 7.005032748152567 and parameters: {'x': 1.826844626954173, 'y': 1.9268425602050288}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,833] Trial 75 finished with value: 9.27183740472173 and parameters: {'x': 1.498215097882374, 'y': 2.676718866467224}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,834] Trial 76 finished with value: 6.1788202097104445 and parameters: {'x': 1.4090942518581993, 'y': 1.092598285985039}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,835] Trial 77 finished with value: 8.983446483572983 and parameters: {'x': 2.2413872996736677, 'y': 2.262636501594432}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,836] Trial 78 finished with value: 8.216516191382501 and parameters: {'x': 1.1779154251103852, 'y': 2.812668726136599}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,837] Trial 79 finished with value: 8.454386883504299 and parameters: {'x': 2.3305972180416967, 'y': 1.9835764247236907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,838] Trial 80 finished with value: 7.850643863378659 and parameters: {'x': 1.7388072343407257, 'y': 2.1404356549330252}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,839] Trial 81 finished with value: 8.548120869822377 and parameters: {'x': 1.2355723676495973, 'y': 2.4716454451936927}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,840] Trial 82 finished with value: 8.386285418856902 and parameters: {'x': 2.7552139515981446, 'y': 1.1836615335225171}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,840] Trial 83 finished with value: 9.33277811056341 and parameters: {'x': 2.2088941144948118, 'y': 2.792964798250159}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,841] Trial 84 finished with value: 10.191009221350768 and parameters: {'x': 2.585848255012078, 'y': 2.9630703840002472}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,842] Trial 85 finished with value: 9.199310232934744 and parameters: {'x': 2.748849783785084, 'y': 1.441554730785663}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,843] Trial 86 finished with value: 9.2646294664593 and parameters: {'x': 1.5948713689545138, 'y': 2.8027793439493904}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,844] Trial 87 finished with value: 7.080688050613922 and parameters: {'x': 1.9661671599435053, 'y': 1.8037364200866381}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,845] Trial 88 finished with value: 9.013415425450534 and parameters: {'x': 2.4163310734970684, 'y': 1.636886697540102}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,846] Trial 89 finished with value: 6.866821452286725 and parameters: {'x': 1.890540471699981, 'y': 1.88483373776394}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,847] Trial 90 finished with value: 5.959158557344825 and parameters: {'x': 1.3281373141813404, 'y': 1.125500051842644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,848] Trial 91 finished with value: 7.87159220193886 and parameters: {'x': 2.359511515835968, 'y': 1.1279106069988678}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,849] Trial 92 finished with value: 9.202654686101095 and parameters: {'x': 1.4685789842334418, 'y': 2.604580581576726}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,850] Trial 93 finished with value: 7.6448009517846 and parameters: {'x': 2.0921232065193225, 'y': 1.73682311950304}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,851] Trial 94 finished with value: 6.6725930457942475 and parameters: {'x': 1.6921203518903358, 'y': 1.1628807707949569}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,852] Trial 95 finished with value: 6.116863193669975 and parameters: {'x': 1.0694790248579369, 'y': 1.4104985430277928}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,853] Trial 96 finished with value: 8.847283521590567 and parameters: {'x': 1.9662722891008542, 'y': 2.701251138159574}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,854] Trial 97 finished with value: 8.443230082626295 and parameters: {'x': 2.2382451209071936, 'y': 1.6551477720943748}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,854] Trial 98 finished with value: 7.671184542786042 and parameters: {'x': 1.9676209973302294, 'y': 1.5656060031227454}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,855] Trial 99 finished with value: 4.788155844147777 and parameters: {'x': 1.0151800894576377, 'y': 1.200455850814773}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,856] Trial 100 finished with value: 4.045505869420193 and parameters: {'x': 1.0652252404158025, 'y': 1.0635003202026654}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,857] Trial 101 finished with value: 9.330788286768396 and parameters: {'x': 2.4173773897708193, 'y': 2.1901578920897675}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,858] Trial 102 finished with value: 7.069570698766446 and parameters: {'x': 1.1168049032504792, 'y': 2.222497516983431}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,859] Trial 103 finished with value: 6.317079292167321 and parameters: {'x': 1.0975025588917013, 'y': 2.12549533279568}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,860] Trial 104 finished with value: 9.29855178082329 and parameters: {'x': 1.5324004580461716, 'y': 2.723016150949123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,862] Trial 105 finished with value: 9.192696852614601 and parameters: {'x': 1.4808206774849857, 'y': 2.579008136152047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,863] Trial 106 finished with value: 8.408472658306273 and parameters: {'x': 2.831926346840218, 'y': 1.9197290242202152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,864] Trial 107 finished with value: 10.135310503921435 and parameters: {'x': 2.432192587200304, 'y': 2.5119874467684147}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,865] Trial 108 finished with value: 8.879378516475859 and parameters: {'x': 1.7407377105650303, 'y': 2.3855217737559635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,866] Trial 109 finished with value: 9.055230122907686 and parameters: {'x': 2.717636437055245, 'y': 2.0991095781429183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,867] Trial 110 finished with value: 7.293293823977846 and parameters: {'x': 1.0877372743905704, 'y': 2.273650413650829}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,868] Trial 111 finished with value: 8.919022535429784 and parameters: {'x': 2.95854396879389, 'y': 1.719039694018197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,868] Trial 112 finished with value: 7.3372819602724455 and parameters: {'x': 1.3623366154825576, 'y': 1.5554901490716264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,869] Trial 113 finished with value: 9.030101823932666 and parameters: {'x': 2.6595623168637306, 'y': 1.349405406692998}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,870] Trial 114 finished with value: 6.072245230822357 and parameters: {'x': 1.025040018500134, 'y': 1.4270855245256404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,871] Trial 115 finished with value: 7.427324175144104 and parameters: {'x': 1.5847021930614489, 'y': 1.388083865430075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,872] Trial 116 finished with value: 7.401331252563596 and parameters: {'x': 1.1720633580392537, 'y': 2.236009826109792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,873] Trial 117 finished with value: 7.707729664135554 and parameters: {'x': 1.6475738512480638, 'y': 1.7842152507174118}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,874] Trial 118 finished with value: 8.353403949911574 and parameters: {'x': 2.2922788419771853, 'y': 2.047108234443308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,875] Trial 119 finished with value: 7.901261536827631 and parameters: {'x': 2.0811791251484095, 'y': 1.5553480135828408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,876] Trial 120 finished with value: 7.929999755129986 and parameters: {'x': 2.1030085786156674, 'y': 1.6315349542573745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,877] Trial 121 finished with value: 9.288051746041393 and parameters: {'x': 2.249248175133083, 'y': 2.9212579305581805}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,878] Trial 122 finished with value: 9.073790993777054 and parameters: {'x': 2.556831585636369, 'y': 2.0192050725676203}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,879] Trial 123 finished with value: 6.1928075617926694 and parameters: {'x': 1.381008070971709, 'y': 1.127196872196507}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,880] Trial 124 finished with value: 10.156698962301324 and parameters: {'x': 2.984010254713117, 'y': 2.4756838541668325}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,881] Trial 125 finished with value: 9.874975505572541 and parameters: {'x': 2.48926356962497, 'y': 2.32310916596693}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,882] Trial 126 finished with value: 8.4403157532315 and parameters: {'x': 1.1674159135861502, 'y': 2.5243468662283424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,883] Trial 127 finished with value: 9.139515973359657 and parameters: {'x': 2.9124136588486005, 'y': 1.448544851596652}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,884] Trial 128 finished with value: 7.359019764415692 and parameters: {'x': 1.845559429941528, 'y': 1.3798715708393237}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,884] Trial 129 finished with value: 8.801406402850382 and parameters: {'x': 2.793280477391969, 'y': 2.0995429900681835}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,885] Trial 130 finished with value: 9.16027496754532 and parameters: {'x': 2.958814654897644, 'y': 1.4501058360334536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,886] Trial 131 finished with value: 9.043089465124277 and parameters: {'x': 2.5531846030820153, 'y': 1.394148666766868}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,887] Trial 132 finished with value: 7.606828759224673 and parameters: {'x': 1.628976929975279, 'y': 1.4619861318720995}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,888] Trial 133 finished with value: 9.070587375279917 and parameters: {'x': 1.419020074634894, 'y': 2.5430493560865637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,889] Trial 134 finished with value: 8.922647531691823 and parameters: {'x': 2.403540709078335, 'y': 1.5039144423310895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,890] Trial 135 finished with value: 7.967844530950847 and parameters: {'x': 1.8344664008911205, 'y': 2.2154175816586967}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,891] Trial 136 finished with value: 6.626032192071815 and parameters: {'x': 1.1376050758152119, 'y': 1.5572043930324122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,892] Trial 137 finished with value: 9.659594459444406 and parameters: {'x': 2.7866196797539673, 'y': 2.9979820048454564}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,893] Trial 138 finished with value: 6.347014296917756 and parameters: {'x': 1.1499787305081524, 'y': 1.4010452377707163}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,894] Trial 139 finished with value: 7.529375914538674 and parameters: {'x': 1.4493857009516564, 'y': 1.9428251265097687}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,895] Trial 140 finished with value: 8.81677041121904 and parameters: {'x': 1.3251875112150269, 'y': 2.9930602325129616}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,895] Trial 141 finished with value: 6.910809469825855 and parameters: {'x': 1.265056131105021, 'y': 2.0342370126064235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,896] Trial 142 finished with value: 8.270503495062389 and parameters: {'x': 1.6712378350511055, 'y': 2.2009435486868285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,897] Trial 143 finished with value: 7.452760285030202 and parameters: {'x': 1.3978757960635275, 'y': 1.5886968818444087}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,898] Trial 144 finished with value: 8.04404936965607 and parameters: {'x': 2.2430845548658915, 'y': 2.043992069057082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,899] Trial 145 finished with value: 9.037078848946711 and parameters: {'x': 2.541655139697369, 'y': 1.8839124502404339}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,900] Trial 146 finished with value: 6.982951805949881 and parameters: {'x': 1.781374575788557, 'y': 1.2651621081908913}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,901] Trial 147 finished with value: 9.20171480473229 and parameters: {'x': 1.6080598211760768, 'y': 2.9650186697000382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,902] Trial 148 finished with value: 6.452025938356062 and parameters: {'x': 1.1479419006340799, 'y': 1.4382449336931642}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,903] Trial 149 finished with value: 8.409147936673097 and parameters: {'x': 1.1982455088041204, 'y': 2.458225719447706}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,904] Trial 150 finished with value: 7.5725037722601485 and parameters: {'x': 1.9508953118972576, 'y': 1.6558619568319393}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,904] Trial 151 finished with value: 8.982528233453667 and parameters: {'x': 1.5525808084216455, 'y': 2.41293048193209}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,905] Trial 152 finished with value: 9.041991086654965 and parameters: {'x': 2.0937943692816763, 'y': 2.4277592159001715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,906] Trial 153 finished with value: 5.742279919822625 and parameters: {'x': 1.9597368328208227, 'y': 1.101870834317938}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,907] Trial 154 finished with value: 7.662524506220276 and parameters: {'x': 1.3428920411087246, 'y': 2.135148324498201}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,908] Trial 155 finished with value: 5.412915944788196 and parameters: {'x': 1.990908743954472, 'y': 1.0050198191556126}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,909] Trial 156 finished with value: 7.384637681531171 and parameters: {'x': 1.8039469768756087, 'y': 2.0905831063243143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,910] Trial 157 finished with value: 7.362225966959187 and parameters: {'x': 1.4451194939759322, 'y': 1.4525537484113495}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,911] Trial 158 finished with value: 10.222437021084144 and parameters: {'x': 2.6488242314394013, 'y': 2.433715704140214}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,912] Trial 159 finished with value: 6.896605385291597 and parameters: {'x': 1.027065396478891, 'y': 2.2375282061374557}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,913] Trial 160 finished with value: 9.070807682748207 and parameters: {'x': 2.965189425709962, 'y': 1.4068019970945893}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,914] Trial 161 finished with value: 8.24245966683869 and parameters: {'x': 2.4278280268516204, 'y': 1.1692189477956123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,915] Trial 162 finished with value: 5.673508204977029 and parameters: {'x': 1.0721727531477638, 'y': 2.0209882776353236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,916] Trial 163 finished with value: 6.685128269118291 and parameters: {'x': 1.0176360039225363, 'y': 2.210740833205314}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,917] Trial 164 finished with value: 7.608037762971426 and parameters: {'x': 1.871629158495657, 'y': 1.6523483721870136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,918] Trial 165 finished with value: 10.386096910354778 and parameters: {'x': 2.5895300471814746, 'y': 2.6305378593259974}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,919] Trial 166 finished with value: 7.40514642679503 and parameters: {'x': 1.7243774639538723, 'y': 1.9789454770033412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,920] Trial 167 finished with value: 9.33732591568054 and parameters: {'x': 2.1457972131567966, 'y': 2.666277852044355}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,920] Trial 168 finished with value: 7.517325492079699 and parameters: {'x': 1.5730197790114377, 'y': 1.436315023136025}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,921] Trial 169 finished with value: 8.954057110696501 and parameters: {'x': 2.565349052914175, 'y': 1.340767290504819}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,922] Trial 170 finished with value: 7.628363624986125 and parameters: {'x': 1.1240421322715355, 'y': 2.9812662390210587}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,923] Trial 171 finished with value: 7.895166227239825 and parameters: {'x': 2.097114156405027, 'y': 1.4841161709967734}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,924] Trial 172 finished with value: 9.650496346883967 and parameters: {'x': 2.878011320154017, 'y': 2.3083770732523208}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,925] Trial 173 finished with value: 10.179377446684578 and parameters: {'x': 2.5992281043426297, 'y': 2.960157496955233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,926] Trial 174 finished with value: 8.393777129433174 and parameters: {'x': 2.87864454294124, 'y': 1.239177096324707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,927] Trial 175 finished with value: 8.117760168554438 and parameters: {'x': 1.6390553207059786, 'y': 2.1544961862419205}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,928] Trial 176 finished with value: 7.780286127425217 and parameters: {'x': 1.9561316950363021, 'y': 2.2200267269991105}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,929] Trial 177 finished with value: 8.97783184216078 and parameters: {'x': 2.4029650756157688, 'y': 1.6597546371143177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,930] Trial 178 finished with value: 9.208872159188012 and parameters: {'x': 2.9549234687416903, 'y': 2.88628287561888}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,931] Trial 179 finished with value: 5.4049656445919965 and parameters: {'x': 1.011013356212266, 'y': 1.9578420384618553}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,932] Trial 180 finished with value: 9.12174191938108 and parameters: {'x': 2.3678749028786994, 'y': 2.17278483879681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,933] Trial 181 finished with value: 10.198826009408865 and parameters: {'x': 2.958641606176584, 'y': 2.5484903125582936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,934] Trial 182 finished with value: 7.6476415377950175 and parameters: {'x': 1.545998442266486, 'y': 1.9323981096163951}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,935] Trial 183 finished with value: 8.124489221721925 and parameters: {'x': 1.6758563638478126, 'y': 2.168679284141233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,936] Trial 184 finished with value: 7.64968413734136 and parameters: {'x': 2.209815005464777, 'y': 1.2569555742100504}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,937] Trial 185 finished with value: 7.803305947129413 and parameters: {'x': 2.0466239336984975, 'y': 1.5762074968179676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,937] Trial 186 finished with value: 8.05474377153569 and parameters: {'x': 2.1632397775778105, 'y': 1.6998366051182627}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,938] Trial 187 finished with value: 6.144941991306926 and parameters: {'x': 1.7747923908250454, 'y': 1.0826847582822892}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,939] Trial 188 finished with value: 6.2127589120851745 and parameters: {'x': 2.066909130422448, 'y': 1.1382530755142026}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,940] Trial 189 finished with value: 6.561669600397277 and parameters: {'x': 1.115901581604201, 'y': 1.629822531869676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,941] Trial 190 finished with value: 7.890219400244215 and parameters: {'x': 2.084328797212484, 'y': 1.5148949334884845}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,942] Trial 191 finished with value: 7.464114852010187 and parameters: {'x': 1.8892808907270018, 'y': 1.713626723491136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,943] Trial 192 finished with value: 7.156552221150989 and parameters: {'x': 1.786094779669809, 'y': 1.960800211946864}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,944] Trial 193 finished with value: 8.951979216755136 and parameters: {'x': 1.7413234774569297, 'y': 2.8444003260863475}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,945] Trial 194 finished with value: 8.613621999490935 and parameters: {'x': 2.277526156650702, 'y': 1.5896308935518735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,946] Trial 195 finished with value: 6.996158886658911 and parameters: {'x': 1.27798756081083, 'y': 1.8105280925644867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,947] Trial 196 finished with value: 8.611348223142354 and parameters: {'x': 2.780063608043692, 'y': 1.2470883370791117}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,948] Trial 197 finished with value: 6.030637405462642 and parameters: {'x': 1.3669459553065468, 'y': 1.0967663914722383}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,949] Trial 198 finished with value: 8.9651624986928 and parameters: {'x': 2.45114124303605, 'y': 1.8177367495614867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,950] Trial 199 finished with value: 8.915451335211346 and parameters: {'x': 2.335872085479096, 'y': 2.150144686924997}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,950] Trial 200 finished with value: 7.021661568826715 and parameters: {'x': 1.8602528352275918, 'y': 1.8654081939662959}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,951] Trial 201 finished with value: 9.769519658797082 and parameters: {'x': 2.7347930055246903, 'y': 2.281904221003719}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,952] Trial 202 finished with value: 4.469825231897417 and parameters: {'x': 1.1276709782028493, 'y': 1.076434141934986}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,953] Trial 203 finished with value: 10.239785901129567 and parameters: {'x': 2.5334930752056657, 'y': 2.8412627361168794}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,954] Trial 204 finished with value: 8.53553773386228 and parameters: {'x': 1.9038626907012923, 'y': 2.808230478175809}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,955] Trial 205 finished with value: 7.469472666097261 and parameters: {'x': 2.0627178614594097, 'y': 1.361793778177681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,956] Trial 206 finished with value: 6.667264537099793 and parameters: {'x': 1.155198996514189, 'y': 1.6725570179291875}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,957] Trial 207 finished with value: 9.076853313820374 and parameters: {'x': 1.8583070910014763, 'y': 2.575429422230293}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,958] Trial 208 finished with value: 7.763861642014163 and parameters: {'x': 1.3957039185663036, 'y': 2.115221306953389}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,959] Trial 209 finished with value: 7.931876268965578 and parameters: {'x': 1.0377878625094168, 'y': 2.7386171658588525}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,960] Trial 210 finished with value: 9.291572445362457 and parameters: {'x': 1.5225522661296755, 'y': 2.72999996019061}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,961] Trial 211 finished with value: 7.90789463480928 and parameters: {'x': 2.1580208652985027, 'y': 1.7481916178348185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,962] Trial 212 finished with value: 8.331075538821214 and parameters: {'x': 1.3086571202225628, 'y': 2.322867543653529}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,963] Trial 213 finished with value: 7.134902741194471 and parameters: {'x': 1.311339134694525, 'y': 1.8159808263688133}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,964] Trial 214 finished with value: 8.508767907255717 and parameters: {'x': 1.5328694871482778, 'y': 2.253473258892857}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,965] Trial 215 finished with value: 10.160814928725088 and parameters: {'x': 2.4340858563813637, 'y': 2.5328342880614736}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,966] Trial 216 finished with value: 7.520519248925659 and parameters: {'x': 2.8358217538122545, 'y': 1.0073602356390727}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,967] Trial 217 finished with value: 8.734898042294475 and parameters: {'x': 2.3976126842507304, 'y': 1.9818004671370137}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,968] Trial 218 finished with value: 9.212983735328182 and parameters: {'x': 2.5707009425331124, 'y': 1.510914137767352}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,969] Trial 219 finished with value: 7.630386114164498 and parameters: {'x': 2.290055224334804, 'y': 1.1542707595107782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,970] Trial 220 finished with value: 9.223023627226235 and parameters: {'x': 1.4874256907368923, 'y': 2.8243687678809852}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,971] Trial 221 finished with value: 6.491452216777805 and parameters: {'x': 2.178628325873583, 'y': 1.0417939251882566}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,972] Trial 222 finished with value: 8.964465884983193 and parameters: {'x': 2.435201368490529, 'y': 1.4774745015263917}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,974] Trial 223 finished with value: 9.787167605334385 and parameters: {'x': 2.5102236610164814, 'y': 2.280925654939244}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,975] Trial 224 finished with value: 10.263157219003295 and parameters: {'x': 2.4943112514176353, 'y': 2.7744643239933993}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,976] Trial 225 finished with value: 8.10062600422781 and parameters: {'x': 1.4212237274775974, 'y': 2.1854087410493284}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,977] Trial 226 finished with value: 7.400051605325441 and parameters: {'x': 1.3919703351200805, 'y': 1.549329359587792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,978] Trial 227 finished with value: 10.142835796284338 and parameters: {'x': 2.4810205514098005, 'y': 2.947362586144786}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,979] Trial 228 finished with value: 7.315275574586037 and parameters: {'x': 1.9544917597569376, 'y': 1.746454737362182}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,980] Trial 229 finished with value: 8.02264358861355 and parameters: {'x': 2.024667187134299, 'y': 2.9507638023385447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,981] Trial 230 finished with value: 7.650780229269962 and parameters: {'x': 1.5589595248514958, 'y': 1.8963027349856008}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,982] Trial 231 finished with value: 8.75642052006269 and parameters: {'x': 1.2578489085880764, 'y': 2.573495333602545}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,983] Trial 232 finished with value: 7.720926630613398 and parameters: {'x': 1.6683961727920873, 'y': 2.0584749448370667}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,984] Trial 233 finished with value: 10.111196291118265 and parameters: {'x': 2.388544278181339, 'y': 2.5758930870083345}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,985] Trial 234 finished with value: 8.999141681351706 and parameters: {'x': 1.3880499083930444, 'y': 2.9198551748985655}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,985] Trial 235 finished with value: 6.947255849127545 and parameters: {'x': 1.3017815054591813, 'y': 1.4239006206842184}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,986] Trial 236 finished with value: 8.093163601417645 and parameters: {'x': 1.022966381407082, 'y': 2.511672249150409}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,987] Trial 237 finished with value: 9.244523525498478 and parameters: {'x': 2.1309296907352304, 'y': 2.687476427568785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,988] Trial 238 finished with value: 7.404512967642068 and parameters: {'x': 1.325042353063805, 'y': 2.0888798280457053}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,989] Trial 239 finished with value: 8.276865554192819 and parameters: {'x': 2.184880893629826, 'y': 2.178955012453271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,990] Trial 240 finished with value: 9.001965784325948 and parameters: {'x': 2.6346136475206117, 'y': 1.9949438321654618}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,991] Trial 241 finished with value: 6.951984210410229 and parameters: {'x': 2.0125264882488345, 'y': 1.2811406982064169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,992] Trial 242 finished with value: 9.059296508005236 and parameters: {'x': 1.3974245366863893, 'y': 2.5622304428793035}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,993] Trial 243 finished with value: 8.206034009843497 and parameters: {'x': 2.9364115200634586, 'y': 1.883919482780143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,994] Trial 244 finished with value: 9.921919105284765 and parameters: {'x': 2.8470228282279604, 'y': 2.3680211380618044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,995] Trial 245 finished with value: 5.862369248339185 and parameters: {'x': 1.1142529535002255, 'y': 2.0076454952194416}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,996] Trial 246 finished with value: 7.481016763418873 and parameters: {'x': 2.0251579459513422, 'y': 1.7229460313825542}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,997] Trial 247 finished with value: 9.084504448433803 and parameters: {'x': 2.5598314697394455, 'y': 1.84622302020528}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,998] Trial 248 finished with value: 9.730779841830977 and parameters: {'x': 2.705026542530438, 'y': 2.261172872438412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,999] Trial 249 finished with value: 6.970087709999072 and parameters: {'x': 2.2056625156106104, 'y': 1.1199626417334956}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,000] Trial 250 finished with value: 8.953933738523933 and parameters: {'x': 2.702914966726759, 'y': 1.860231761427788}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,000] Trial 251 finished with value: 9.748424617891873 and parameters: {'x': 2.4667731201567493, 'y': 2.2888764660961294}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,001] Trial 252 finished with value: 9.167673651450142 and parameters: {'x': 2.072195797772089, 'y': 2.610655666055697}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,002] Trial 253 finished with value: 7.147031598038101 and parameters: {'x': 1.291699180736912, 'y': 1.7390061583839724}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,003] Trial 254 finished with value: 6.116670622794018 and parameters: {'x': 2.1301272592646647, 'y': 1.0347697813695165}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,004] Trial 255 finished with value: 8.208828599746406 and parameters: {'x': 2.2867287156201046, 'y': 1.9679983737249274}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,005] Trial 256 finished with value: 6.548620766445598 and parameters: {'x': 1.2044888856944802, 'y': 1.4005015727656103}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,007] Trial 257 finished with value: 10.31713510610331 and parameters: {'x': 2.612563047786084, 'y': 2.7704625571335404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,009] Trial 258 finished with value: 10.084552858039983 and parameters: {'x': 2.4972956483612614, 'y': 2.4135511676669017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,010] Trial 259 finished with value: 8.704815048381596 and parameters: {'x': 1.8348199894899018, 'y': 2.816913002698824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,011] Trial 260 finished with value: 9.909882350543576 and parameters: {'x': 2.782731419649844, 'y': 2.8262820425631365}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,011] Trial 261 finished with value: 5.976489893672717 and parameters: {'x': 1.7736308753893941, 'y': 1.020860693431882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,012] Trial 262 finished with value: 5.927980057999747 and parameters: {'x': 2.016682408877395, 'y': 1.121591782697312}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,013] Trial 263 finished with value: 8.858717705415632 and parameters: {'x': 1.5563968701377697, 'y': 2.3616592332265505}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,014] Trial 264 finished with value: 10.033313474090175 and parameters: {'x': 2.9006873116428213, 'y': 2.692515618646322}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,015] Trial 265 finished with value: 8.880528053164227 and parameters: {'x': 1.3391217993231546, 'y': 2.5119201657605466}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,016] Trial 266 finished with value: 6.512793795585026 and parameters: {'x': 1.0973914976258345, 'y': 1.598088367554651}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,017] Trial 267 finished with value: 10.133308161929415 and parameters: {'x': 2.4722329634215807, 'y': 2.9038913264736412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,018] Trial 268 finished with value: 9.009577894524508 and parameters: {'x': 2.848278275800719, 'y': 1.71975219955167}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,019] Trial 269 finished with value: 9.073466277909414 and parameters: {'x': 1.8477499271033209, 'y': 2.544824490259407}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,020] Trial 270 finished with value: 8.857712616202502 and parameters: {'x': 2.7763762931812623, 'y': 2.0978016101308743}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,021] Trial 271 finished with value: 8.336836626348964 and parameters: {'x': 2.3795700310590426, 'y': 1.2465209738223508}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,022] Trial 272 finished with value: 5.916158701235933 and parameters: {'x': 1.362378593042143, 'y': 1.0660251203586257}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,023] Trial 273 finished with value: 9.146929015217898 and parameters: {'x': 1.8033754828833874, 'y': 2.6047616206447453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,024] Trial 274 finished with value: 7.438775490254871 and parameters: {'x': 1.7578386164256896, 'y': 1.8327485767740324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,025] Trial 275 finished with value: 7.535911323474094 and parameters: {'x': 1.6806223274483807, 'y': 1.9795460472091044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,026] Trial 276 finished with value: 7.2692615352023005 and parameters: {'x': 1.3721922862035816, 'y': 1.4889755041007238}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,027] Trial 277 finished with value: 10.156213247691806 and parameters: {'x': 2.439013905615374, 'y': 2.798546701303678}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,028] Trial 278 finished with value: 7.594454224312965 and parameters: {'x': 1.7836186155171991, 'y': 1.7335789878704169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,028] Trial 279 finished with value: 9.692863147985143 and parameters: {'x': 2.830534386150495, 'y': 2.8448425756608664}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,029] Trial 280 finished with value: 10.354735182718246 and parameters: {'x': 2.654619006311158, 'y': 2.535702751682674}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,030] Trial 281 finished with value: 9.59974810128511 and parameters: {'x': 2.2129591988883632, 'y': 2.6594307933091414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,031] Trial 282 finished with value: 9.171231249430022 and parameters: {'x': 2.4126063326685623, 'y': 2.1477052796850047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,032] Trial 283 finished with value: 4.423097764063691 and parameters: {'x': 1.1136507650040754, 'y': 1.085185414659418}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,033] Trial 284 finished with value: 8.518116853818347 and parameters: {'x': 2.2714436670861144, 'y': 1.4799874049703434}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,034] Trial 285 finished with value: 6.308183889141347 and parameters: {'x': 1.1798253175175006, 'y': 1.358477133667177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,035] Trial 286 finished with value: 5.721946692056417 and parameters: {'x': 1.0636206120922096, 'y': 1.8733061965353646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,036] Trial 287 finished with value: 7.677943634548251 and parameters: {'x': 1.121973471590385, 'y': 2.9035790410998183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,037] Trial 288 finished with value: 9.151799227058577 and parameters: {'x': 2.6069182409954905, 'y': 1.7996328195485836}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,038] Trial 289 finished with value: 10.013127416178817 and parameters: {'x': 2.4167858431807874, 'y': 2.9164976263663602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,039] Trial 290 finished with value: 4.998303328378896 and parameters: {'x': 1.1542956742066215, 'y': 1.140781609596429}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,040] Trial 291 finished with value: 8.28114606706547 and parameters: {'x': 2.1879466071750313, 'y': 1.5581671187822235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,041] Trial 292 finished with value: 8.832524046610402 and parameters: {'x': 2.300366007103639, 'y': 2.16793189577589}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,042] Trial 293 finished with value: 5.711376066059369 and parameters: {'x': 1.094322932423767, 'y': 1.9411323943054628}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,043] Trial 294 finished with value: 7.760929512264443 and parameters: {'x': 2.071568489594031, 'y': 1.4523217653510414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,043] Trial 295 finished with value: 9.671827782479724 and parameters: {'x': 2.9922109078108097, 'y': 2.7826847496567426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,044] Trial 296 finished with value: 6.710962291458795 and parameters: {'x': 2.0479007588535945, 'y': 1.2261318608148313}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,045] Trial 297 finished with value: 9.202996753526495 and parameters: {'x': 2.8645562118427224, 'y': 1.6129257002416637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,046] Trial 298 finished with value: 5.60593399078077 and parameters: {'x': 1.0573022885455976, 'y': 1.3062488386606321}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,047] Trial 299 finished with value: 6.58244865409225 and parameters: {'x': 1.3655659763270604, 'y': 1.2432668725475122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,048] Trial 300 finished with value: 6.2066836519014394 and parameters: {'x': 1.331275367399907, 'y': 1.182084471528453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,049] Trial 301 finished with value: 8.984835506742034 and parameters: {'x': 2.0438870786774963, 'y': 2.6836625341675298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,050] Trial 302 finished with value: 9.135668282526662 and parameters: {'x': 1.6844674053929338, 'y': 2.482716416022635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,051] Trial 303 finished with value: 10.359646028416753 and parameters: {'x': 2.5754761557918533, 'y': 2.7198582320674056}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,053] Trial 304 finished with value: 7.361657153468046 and parameters: {'x': 1.3571872591947314, 'y': 1.75345728109374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,054] Trial 305 finished with value: 7.913504782012886 and parameters: {'x': 2.2567402470676416, 'y': 1.2652867032397062}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,056] Trial 306 finished with value: 9.347623407815192 and parameters: {'x': 2.1932762319899344, 'y': 2.7575887786576088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,057] Trial 307 finished with value: 6.238482058571574 and parameters: {'x': 1.398568508516686, 'y': 1.1219645882466098}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,058] Trial 308 finished with value: 9.255211632335527 and parameters: {'x': 2.1065275363082856, 'y': 2.623147599225602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,059] Trial 309 finished with value: 7.9259135284926625 and parameters: {'x': 2.401557205780505, 'y': 1.0884686415000555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,060] Trial 310 finished with value: 9.912652969472223 and parameters: {'x': 2.4927665585904117, 'y': 2.3362285111941388}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,061] Trial 311 finished with value: 7.9160816136541055 and parameters: {'x': 2.086039549812548, 'y': 1.5718753826147212}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,062] Trial 312 finished with value: 8.846211582353332 and parameters: {'x': 2.7946975959997085, 'y': 2.1111493443901646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,063] Trial 313 finished with value: 8.447724376654612 and parameters: {'x': 1.231940729779242, 'y': 2.4329241473881456}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,064] Trial 314 finished with value: 7.552500541854169 and parameters: {'x': 1.7919999988976703, 'y': 1.7463777927679258}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,065] Trial 315 finished with value: 9.218512393996935 and parameters: {'x': 1.5175664405513307, 'y': 2.924995588232765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,066] Trial 316 finished with value: 6.857585341545889 and parameters: {'x': 2.0710526351204024, 'y': 1.9257182649214797}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,067] Trial 317 finished with value: 6.2545662723315765 and parameters: {'x': 1.0302565320977815, 'y': 2.150580729287884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,068] Trial 318 finished with value: 7.983987219108325 and parameters: {'x': 2.4111627134494213, 'y': 1.0980217544085398}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,069] Trial 319 finished with value: 8.357108631911709 and parameters: {'x': 1.2100873805705843, 'y': 2.820830469555223}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,070] Trial 320 finished with value: 6.699130383291198 and parameters: {'x': 1.215682949072571, 'y': 2.0632357475823735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,071] Trial 321 finished with value: 8.948976386936518 and parameters: {'x': 1.331367634034851, 'y': 2.581299783112364}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,072] Trial 322 finished with value: 7.982138721518298 and parameters: {'x': 1.988398470351165, 'y': 2.945407386064451}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,073] Trial 323 finished with value: 9.745623933776441 and parameters: {'x': 2.30428299904322, 'y': 2.805664681125419}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,074] Trial 324 finished with value: 7.613461888965885 and parameters: {'x': 1.0069534961965363, 'y': 2.8127180219484327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,075] Trial 325 finished with value: 7.652181636405894 and parameters: {'x': 1.8566641006360123, 'y': 1.5309023468189245}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,076] Trial 326 finished with value: 9.162199390098213 and parameters: {'x': 2.9688223241275935, 'y': 2.8965908439695895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,077] Trial 327 finished with value: 8.603561199051127 and parameters: {'x': 2.101710342423472, 'y': 2.8472037870659075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,078] Trial 328 finished with value: 9.238104079329661 and parameters: {'x': 1.4645047073963369, 'y': 2.7201884102366276}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,079] Trial 329 finished with value: 9.2059890001439 and parameters: {'x': 1.5029492524669203, 'y': 2.570755821365006}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,080] Trial 330 finished with value: 8.662235215716079 and parameters: {'x': 1.9668160413505607, 'y': 2.7570260466308625}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,081] Trial 331 finished with value: 4.387601305751666 and parameters: {'x': 1.1063704438455368, 'y': 1.0869451970964539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,082] Trial 332 finished with value: 8.743504814708885 and parameters: {'x': 2.42920152555666, 'y': 1.3500254719172264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,083] Trial 333 finished with value: 7.474602128171121 and parameters: {'x': 1.152829659231377, 'y': 2.263024436911833}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,085] Trial 334 finished with value: 7.7139152591869955 and parameters: {'x': 2.083902436337981, 'y': 1.7042422360941185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,086] Trial 335 finished with value: 9.064165098697746 and parameters: {'x': 2.196396028837885, 'y': 2.868474069611013}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,087] Trial 336 finished with value: 7.526207724974352 and parameters: {'x': 1.748765975307913, 'y': 1.4175092102644002}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,088] Trial 337 finished with value: 8.87318611022771 and parameters: {'x': 1.4301086067741993, 'y': 2.4221290283239707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,089] Trial 338 finished with value: 7.437628554622544 and parameters: {'x': 1.5370848528034777, 'y': 1.4164035735238645}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,090] Trial 339 finished with value: 9.108528828823486 and parameters: {'x': 2.8221419136641974, 'y': 1.4137540686047536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,091] Trial 340 finished with value: 10.224469832486484 and parameters: {'x': 2.7627939976725715, 'y': 2.712650585544082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,092] Trial 341 finished with value: 9.157248639712966 and parameters: {'x': 1.621381698958753, 'y': 2.490024536343387}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,093] Trial 342 finished with value: 9.067096629559234 and parameters: {'x': 2.965909978088968, 'y': 2.9290256135131707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,094] Trial 343 finished with value: 8.20828834637247 and parameters: {'x': 2.551873644603601, 'y': 1.0660867667675091}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,095] Trial 344 finished with value: 7.619650128094548 and parameters: {'x': 2.0644661743154415, 'y': 1.4042470172553296}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,096] Trial 345 finished with value: 8.763579496092841 and parameters: {'x': 1.6545509357446349, 'y': 2.3265521680886843}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,097] Trial 346 finished with value: 10.329168526789621 and parameters: {'x': 2.644777207725301, 'y': 2.5097392192993073}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,098] Trial 347 finished with value: 6.209810066889293 and parameters: {'x': 1.794374892990855, 'y': 1.1141125151488116}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,099] Trial 348 finished with value: 7.984742852035451 and parameters: {'x': 1.092178496970699, 'y': 2.41579734736726}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,100] Trial 349 finished with value: 8.870990662413382 and parameters: {'x': 1.3414984313948313, 'y': 2.982007944245219}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,101] Trial 350 finished with value: 8.966183159301048 and parameters: {'x': 2.4075892104439074, 'y': 1.7079217481458522}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,102] Trial 351 finished with value: 7.656693888229608 and parameters: {'x': 1.8518279470371772, 'y': 1.6238590298596043}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,103] Trial 352 finished with value: 9.062458866554683 and parameters: {'x': 2.6177201797519714, 'y': 1.8642498769805247}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,104] Trial 353 finished with value: 9.018050055020714 and parameters: {'x': 2.4187002604843553, 'y': 1.6138392905141121}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,105] Trial 354 finished with value: 8.991109902167452 and parameters: {'x': 1.3703645448408575, 'y': 2.834356324376323}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,106] Trial 355 finished with value: 8.38152104519662 and parameters: {'x': 1.1555343303547916, 'y': 2.7006567266890333}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,107] Trial 356 finished with value: 6.212801250088436 and parameters: {'x': 1.1805670600758351, 'y': 1.3342035077899745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,108] Trial 357 finished with value: 7.941553127535705 and parameters: {'x': 2.7592288821782676, 'y': 1.0706680098479076}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,109] Trial 358 finished with value: 7.224303585235438 and parameters: {'x': 1.3045011153751436, 'y': 1.6118863229503622}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,110] Trial 359 finished with value: 8.44450330401257 and parameters: {'x': 2.2335451159558417, 'y': 1.628179759156297}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,111] Trial 360 finished with value: 7.044886595511825 and parameters: {'x': 1.9972271639585526, 'y': 1.3032450288065827}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,112] Trial 361 finished with value: 8.270774653868527 and parameters: {'x': 2.8974389690073172, 'y': 1.888026611242919}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,113] Trial 362 finished with value: 8.91666182979364 and parameters: {'x': 2.4368892491097727, 'y': 1.4377983452111882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,115] Trial 363 finished with value: 10.088239690096223 and parameters: {'x': 2.865870145047425, 'y': 2.4358911847461413}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,116] Trial 364 finished with value: 8.78965221877254 and parameters: {'x': 2.3358581438953543, 'y': 1.6618000006359324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,117] Trial 365 finished with value: 10.125686298125409 and parameters: {'x': 2.445415598969073, 'y': 2.84484078419461}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,118] Trial 366 finished with value: 7.343383611464031 and parameters: {'x': 1.7769158794075075, 'y': 2.0507637598350668}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,119] Trial 367 finished with value: 7.997988774164467 and parameters: {'x': 2.2356426584991205, 'y': 2.0451278303879987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,120] Trial 368 finished with value: 8.205247029616046 and parameters: {'x': 2.187146945707058, 'y': 1.4742898645858042}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,121] Trial 369 finished with value: 9.00406642736227 and parameters: {'x': 1.9929649460017025, 'y': 2.5078903999195608}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,122] Trial 370 finished with value: 5.226188688989737 and parameters: {'x': 1.0087444470767506, 'y': 1.2633840962145775}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,123] Trial 371 finished with value: 8.71485187368858 and parameters: {'x': 1.3079096308120766, 'y': 2.9738261872510607}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,124] Trial 372 finished with value: 9.216845434625913 and parameters: {'x': 1.508575392047343, 'y': 2.8773204260382386}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,125] Trial 373 finished with value: 9.17989793263459 and parameters: {'x': 2.8841994959270485, 'y': 1.621651975448489}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,126] Trial 374 finished with value: 8.98557586111079 and parameters: {'x': 2.500830384642061, 'y': 1.8944341497362096}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,127] Trial 375 finished with value: 9.303369240522263 and parameters: {'x': 1.5391501775074237, 'y': 2.711571907670349}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,128] Trial 376 finished with value: 8.750471615681288 and parameters: {'x': 1.4913406700000764, 'y': 2.341732508736907}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,129] Trial 377 finished with value: 7.227982143201142 and parameters: {'x': 1.3268853102432239, 'y': 1.7885289413291054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,130] Trial 378 finished with value: 10.023162229027282 and parameters: {'x': 2.396048090406278, 'y': 2.8314615713289455}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,131] Trial 379 finished with value: 6.092896856433121 and parameters: {'x': 1.7911165415621344, 'y': 1.08382619235308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,132] Trial 380 finished with value: 6.120317782062621 and parameters: {'x': 1.4032309691122884, 'y': 1.079894591239306}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,133] Trial 381 finished with value: 7.022502908484473 and parameters: {'x': 1.8824910993699955, 'y': 1.3033402032471397}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,134] Trial 382 finished with value: 7.652674431707082 and parameters: {'x': 1.8497308313116698, 'y': 1.6310518292420932}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,135] Trial 383 finished with value: 5.822719727358805 and parameters: {'x': 1.3215559497308957, 'y': 1.0981061820951246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,136] Trial 384 finished with value: 7.373644800992425 and parameters: {'x': 1.3940794368916745, 'y': 1.9120470222848358}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,137] Trial 385 finished with value: 5.481155598344511 and parameters: {'x': 1.9414607876752354, 'y': 1.0393575200952851}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,138] Trial 386 finished with value: 10.096454316474768 and parameters: {'x': 2.4543933766663644, 'y': 2.928712322892695}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,139] Trial 387 finished with value: 6.370030836329917 and parameters: {'x': 1.3548891051987708, 'y': 1.1986347193634166}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,140] Trial 388 finished with value: 8.509039975333158 and parameters: {'x': 2.322081543679178, 'y': 1.8428832782616735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,141] Trial 389 finished with value: 7.267810238351741 and parameters: {'x': 1.6160281384053163, 'y': 1.3184453833011878}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,142] Trial 390 finished with value: 5.601143816756288 and parameters: {'x': 1.0084796381477859, 'y': 1.8664753046910936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,143] Trial 391 finished with value: 9.279754455615958 and parameters: {'x': 2.873043369326268, 'y': 2.9390091395584017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,144] Trial 392 finished with value: 7.491358104879318 and parameters: {'x': 2.1375796868486256, 'y': 1.8391439039291715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,145] Trial 393 finished with value: 7.469105104664758 and parameters: {'x': 1.7923971939999055, 'y': 2.0989587544380424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,146] Trial 394 finished with value: 8.956798399528843 and parameters: {'x': 1.711999584921766, 'y': 2.9091711768326656}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,147] Trial 395 finished with value: 9.174547757972167 and parameters: {'x': 2.840890581133052, 'y': 1.4561757164149107}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,148] Trial 396 finished with value: 7.851700424065141 and parameters: {'x': 1.7113279109352795, 'y': 2.123481419395448}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,149] Trial 397 finished with value: 7.750692605356102 and parameters: {'x': 1.6902889832813934, 'y': 1.5623461183014966}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,150] Trial 398 finished with value: 8.755451855147848 and parameters: {'x': 2.911761337310541, 'y': 1.3197890733099533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,151] Trial 399 finished with value: 10.268295211866295 and parameters: {'x': 2.476466615710587, 'y': 2.7332328340294563}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,152] Trial 400 finished with value: 6.417574443703831 and parameters: {'x': 2.177474958724643, 'y': 1.005653626481327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,153] Trial 401 finished with value: 7.668896523263015 and parameters: {'x': 1.644378784575017, 'y': 1.4968063585350646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,154] Trial 402 finished with value: 8.19298658310015 and parameters: {'x': 2.431289201640437, 'y': 1.149653767432715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,154] Trial 403 finished with value: 8.97130164568623 and parameters: {'x': 2.0238418672969654, 'y': 2.464378965120093}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,156] Trial 404 finished with value: 9.9498222644883 and parameters: {'x': 2.888144037415016, 'y': 2.3893540652536975}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,157] Trial 405 finished with value: 8.946878681936214 and parameters: {'x': 2.4819106838477336, 'y': 1.9690251042928717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,158] Trial 406 finished with value: 9.2775145368802 and parameters: {'x': 1.6086848468720156, 'y': 2.7757886297325713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,158] Trial 407 finished with value: 6.0398599077263455 and parameters: {'x': 1.0094173253653007, 'y': 2.126016301637884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,159] Trial 408 finished with value: 7.172267725737418 and parameters: {'x': 1.8647089587091887, 'y': 2.0967083242682962}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,160] Trial 409 finished with value: 10.06942366313142 and parameters: {'x': 2.368979331565893, 'y': 2.7081400803511215}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,161] Trial 410 finished with value: 6.13664299399473 and parameters: {'x': 1.0540333265179518, 'y': 1.4282302453602083}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,162] Trial 411 finished with value: 7.308753587807553 and parameters: {'x': 1.330671073227345, 'y': 1.6984403303355533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,163] Trial 412 finished with value: 6.767207011793218 and parameters: {'x': 1.206523047230095, 'y': 1.7496095327225718}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,164] Trial 413 finished with value: 8.92360731321179 and parameters: {'x': 1.3945161668885826, 'y': 2.4748484732751246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,165] Trial 414 finished with value: 6.680035661311976 and parameters: {'x': 1.9976931371083386, 'y': 2.0379928984768765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,167] Trial 415 finished with value: 7.414252441736993 and parameters: {'x': 1.534572725393671, 'y': 1.4067465865126285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,167] Trial 416 finished with value: 8.9996012583928 and parameters: {'x': 2.585170495454305, 'y': 1.3532149268593918}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,168] Trial 417 finished with value: 9.90548167086543 and parameters: {'x': 2.3399565787146277, 'y': 2.787020230782926}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,169] Trial 418 finished with value: 7.691607288024512 and parameters: {'x': 1.1359010765855024, 'y': 2.9686284408298524}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,170] Trial 419 finished with value: 9.796735720491617 and parameters: {'x': 2.820579493870747, 'y': 2.823207076944582}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,171] Trial 420 finished with value: 6.260789565502911 and parameters: {'x': 1.81156678146324, 'y': 1.1360440007461408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,172] Trial 421 finished with value: 9.21860388769146 and parameters: {'x': 2.4250417759272396, 'y': 2.151886634469717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,173] Trial 422 finished with value: 9.088805627236487 and parameters: {'x': 2.4946484937597644, 'y': 1.489491780477701}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,174] Trial 423 finished with value: 6.226677245473308 and parameters: {'x': 1.1477089283401192, 'y': 2.056377420203176}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,175] Trial 424 finished with value: 8.483973107680615 and parameters: {'x': 2.3302930707241654, 'y': 1.8862617093564347}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,177] Trial 425 finished with value: 10.189866481093429 and parameters: {'x': 2.8205578954962713, 'y': 2.6743642252871402}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,178] Trial 426 finished with value: 4.266283468162449 and parameters: {'x': 1.128574522835871, 'y': 1.0186489038456865}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,179] Trial 427 finished with value: 8.788669762186533 and parameters: {'x': 1.3313453765359875, 'y': 2.4692989209762657}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,180] Trial 428 finished with value: 9.897316989347988 and parameters: {'x': 2.379633485342911, 'y': 2.9387309613275088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,181] Trial 429 finished with value: 7.733897179743261 and parameters: {'x': 2.3548144243288824, 'y': 1.0883146783356357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,182] Trial 430 finished with value: 9.770730743480064 and parameters: {'x': 2.34392440316154, 'y': 2.9737399239212152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,183] Trial 431 finished with value: 6.651404870689522 and parameters: {'x': 1.2401114796732557, 'y': 1.9103876401791673}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,184] Trial 432 finished with value: 8.624387367423939 and parameters: {'x': 2.343842819069655, 'y': 1.402892703320057}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,185] Trial 433 finished with value: 7.319391065120538 and parameters: {'x': 1.3369742062000984, 'y': 1.7193648999124012}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,186] Trial 434 finished with value: 8.63207059410576 and parameters: {'x': 1.568076793133939, 'y': 2.284355408978114}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,187] Trial 435 finished with value: 6.170131843245223 and parameters: {'x': 1.0418953375485036, 'y': 2.135054245104543}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,188] Trial 436 finished with value: 10.369997992085416 and parameters: {'x': 2.61908092246873, 'y': 2.7087079857491236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,189] Trial 437 finished with value: 8.214286391310745 and parameters: {'x': 2.1802285557954493, 'y': 1.6466895137837072}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,190] Trial 438 finished with value: 6.5325083151338745 and parameters: {'x': 1.301511960988448, 'y': 1.2904075186733923}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,191] Trial 439 finished with value: 7.81961102131716 and parameters: {'x': 1.951071480713511, 'y': 2.225511766887371}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,192] Trial 440 finished with value: 8.789791847209642 and parameters: {'x': 1.752568510864902, 'y': 2.9694528025425426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,193] Trial 441 finished with value: 8.845951391776083 and parameters: {'x': 2.9348530597453095, 'y': 1.7386220876900822}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,195] Trial 442 finished with value: 6.8313562893640825 and parameters: {'x': 1.1584195744800634, 'y': 2.1553107291156395}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,196] Trial 443 finished with value: 8.282440802944908 and parameters: {'x': 2.084635187581866, 'y': 2.9245462877708213}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,198] Trial 444 finished with value: 8.144098982016738 and parameters: {'x': 2.170455647030789, 'y': 1.6684600849133298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,199] Trial 445 finished with value: 9.296643075908719 and parameters: {'x': 2.615662796561897, 'y': 1.6100294259063987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,200] Trial 446 finished with value: 9.19390522333622 and parameters: {'x': 2.710246886375865, 'y': 2.130858864690644}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,201] Trial 447 finished with value: 7.531965885725688 and parameters: {'x': 1.9211051500257048, 'y': 1.6758861594909447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,202] Trial 448 finished with value: 7.331382168303733 and parameters: {'x': 1.67953723621456, 'y': 1.3365870657098382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,203] Trial 449 finished with value: 9.116973692268562 and parameters: {'x': 1.820991457831393, 'y': 2.567164362724064}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,204] Trial 450 finished with value: 7.53338235239057 and parameters: {'x': 1.9203094803694931, 'y': 2.1793049604401054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,205] Trial 451 finished with value: 9.224526595418926 and parameters: {'x': 2.9455951435052024, 'y': 1.5139853696768606}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,206] Trial 452 finished with value: 9.223170573081077 and parameters: {'x': 2.8334166644240124, 'y': 2.20836504015143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,207] Trial 453 finished with value: 6.999654263756282 and parameters: {'x': 2.1589629880195247, 'y': 1.1846411930598055}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,208] Trial 454 finished with value: 9.474341672965183 and parameters: {'x': 2.3580782494123866, 'y': 2.279417077265129}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,209] Trial 455 finished with value: 9.253298623237097 and parameters: {'x': 2.253015026281642, 'y': 2.3185464367108874}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,210] Trial 456 finished with value: 8.602639781988247 and parameters: {'x': 2.275602548119463, 'y': 1.624827040663725}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,211] Trial 457 finished with value: 7.068551848614295 and parameters: {'x': 1.2603772254821308, 'y': 1.5837727142113327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,212] Trial 458 finished with value: 7.263162553099972 and parameters: {'x': 1.5488473138379997, 'y': 1.3364308979656776}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,213] Trial 459 finished with value: 5.765175900097962 and parameters: {'x': 1.1229934553422611, 'y': 1.2923904534654271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,214] Trial 460 finished with value: 8.572357997524358 and parameters: {'x': 1.257217475209221, 'y': 2.8270229736591785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,215] Trial 461 finished with value: 7.415567768970856 and parameters: {'x': 1.7180858011424407, 'y': 1.934051058822824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,216] Trial 462 finished with value: 9.803728923767403 and parameters: {'x': 2.5377612159072194, 'y': 2.2768073417972357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,217] Trial 463 finished with value: 9.955064351324634 and parameters: {'x': 2.3275460896894495, 'y': 2.5531141437345415}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,218] Trial 464 finished with value: 5.517910246875086 and parameters: {'x': 1.2201709091358888, 'y': 1.1594546254794982}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,219] Trial 465 finished with value: 8.061151142105938 and parameters: {'x': 2.024787757538992, 'y': 2.9274920965050972}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,220] Trial 466 finished with value: 9.397189288983204 and parameters: {'x': 2.1515716756798198, 'y': 2.5306991635013265}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,221] Trial 467 finished with value: 5.985517249850933 and parameters: {'x': 1.3849905711991588, 'y': 1.055927677523281}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,222] Trial 468 finished with value: 9.097225643154763 and parameters: {'x': 1.4351199031730522, 'y': 2.5454135155465614}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,223] Trial 469 finished with value: 7.349261704988377 and parameters: {'x': 1.35346191711857, 'y': 1.7546081296735883}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,224] Trial 470 finished with value: 9.272408270563856 and parameters: {'x': 2.875235831831837, 'y': 2.938171401114677}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,225] Trial 471 finished with value: 8.069162624819043 and parameters: {'x': 2.9184584255922643, 'y': 1.94201393085539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,226] Trial 472 finished with value: 8.81761865638411 and parameters: {'x': 2.4089709739522425, 'y': 1.8531264383292128}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,227] Trial 473 finished with value: 8.035542180154685 and parameters: {'x': 1.3427513767860373, 'y': 2.222036587264789}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,228] Trial 474 finished with value: 9.231385190851347 and parameters: {'x': 1.6136788146729355, 'y': 2.5427165815495023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,229] Trial 475 finished with value: 8.079791775891733 and parameters: {'x': 1.9125417091420505, 'y': 2.974755165461713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,230] Trial 476 finished with value: 8.341523743372877 and parameters: {'x': 2.5162039041844384, 'y': 1.1370628964009615}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,231] Trial 477 finished with value: 8.111643884158484 and parameters: {'x': 2.4774050077230263, 'y': 1.0731466336537492}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,232] Trial 478 finished with value: 7.5399208344987585 and parameters: {'x': 2.8345234456844723, 'y': 1.0193880363125856}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,233] Trial 479 finished with value: 4.433360827827819 and parameters: {'x': 1.0737285407959989, 'y': 1.1240856472950298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,234] Trial 480 finished with value: 6.96592599656371 and parameters: {'x': 1.917376657427001, 'y': 1.2967197922321945}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,235] Trial 481 finished with value: 6.482139651511581 and parameters: {'x': 1.0444818819023245, 'y': 2.176468521442921}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,236] Trial 482 finished with value: 9.11485254373537 and parameters: {'x': 2.048580208536864, 'y': 2.6071264572872}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,237] Trial 483 finished with value: 5.431608150828463 and parameters: {'x': 1.1894684017034052, 'y': 1.1771668066738374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,238] Trial 484 finished with value: 9.916633525227567 and parameters: {'x': 2.3771078699084693, 'y': 2.9920290455237555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,239] Trial 485 finished with value: 8.672783876245514 and parameters: {'x': 2.986832268951524, 'y': 1.2963533246316374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,240] Trial 486 finished with value: 8.304980857866417 and parameters: {'x': 1.8838423536074562, 'y': 2.293381683328426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,241] Trial 487 finished with value: 8.312468549380213 and parameters: {'x': 2.605279862637339, 'y': 1.104352806033127}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,242] Trial 488 finished with value: 5.853085423960124 and parameters: {'x': 1.8449842618430872, 'y': 1.072398768972538}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,243] Trial 489 finished with value: 10.386651371749663 and parameters: {'x': 2.6310189414260505, 'y': 2.6738996139987643}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,244] Trial 490 finished with value: 8.745469373890751 and parameters: {'x': 2.8645250632754204, 'y': 1.308649034603559}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,245] Trial 491 finished with value: 9.203342174566815 and parameters: {'x': 2.2366663140241325, 'y': 2.3220086289326023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,246] Trial 492 finished with value: 7.620833240361959 and parameters: {'x': 1.7828303566350192, 'y': 1.4731366108109194}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,247] Trial 493 finished with value: 6.443411611560421 and parameters: {'x': 1.087773688862931, 'y': 1.5288574048348782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,248] Trial 494 finished with value: 9.289432601334944 and parameters: {'x': 1.6649581758396033, 'y': 2.6842053451927765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,249] Trial 495 finished with value: 5.398308960090418 and parameters: {'x': 1.0066322310308962, 'y': 1.9593038112676802}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,250] Trial 496 finished with value: 7.862686650656634 and parameters: {'x': 2.8254045010036575, 'y': 1.112352158376197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,251] Trial 497 finished with value: 7.9200738443641665 and parameters: {'x': 2.408098570015621, 'y': 1.0761987677246792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,252] Trial 498 finished with value: 6.712922715771459 and parameters: {'x': 1.2761302578999503, 'y': 1.3688914376676131}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,253] Trial 499 finished with value: 10.186262582979126 and parameters: {'x': 2.4800498669245994, 'y': 2.842080919283535}. Best is trial 100 with value: 4.045505869420193.\n\u001b[2Kreading sources... [ 77%] reference/visualization/generated/optuna.visualization.matplotlib.plot_edf\n<string>:32: ExperimentalWarning:\n\nplot_edf is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:32,435] A new study created in memory with name: no-name-79af99d4-cd7c-428c-8873-4d586046ab43\n[I 2023-11-01 05:27:32,437] Trial 0 finished with values: [103.61328471235042, 10.94405844962042] and parameters: {'x': 4.797929604924771, 'y': 1.697996667921948}. \n[I 2023-11-01 05:27:32,438] Trial 1 finished with values: [15.83702250176422, 30.869766556835916] and parameters: {'x': 1.95872351255152, 'y': 0.3502253943089937}. \n[I 2023-11-01 05:27:32,439] Trial 2 finished with values: [87.73605227511361, 24.912402923215257] and parameters: {'x': 4.683338422408018, 'y': 0.018822592148296735}. \n[I 2023-11-01 05:27:32,440] Trial 3 finished with values: [0.9741882773170711, 43.28972142433291] and parameters: {'x': 0.3179539839173967, 'y': 0.37742858058223894}. \n[I 2023-11-01 05:27:32,441] Trial 4 finished with values: [102.82220932262832, 5.938775131867783] and parameters: {'x': 4.315543891092428, 'y': 2.6611338287865016}. \n[I 2023-11-01 05:27:32,443] Trial 5 finished with values: [10.589038803571967, 33.005142599333595] and parameters: {'x': 1.581353666812035, 'y': 0.3828580433439047}. \n[I 2023-11-01 05:27:32,444] Trial 6 finished with values: [26.21426791712445, 22.56227980136272] and parameters: {'x': 1.076455636752457, 'y': 2.322673081039382}. \n[I 2023-11-01 05:27:32,445] Trial 7 finished with values: [60.91457806920518, 10.213144068885594] and parameters: {'x': 2.5326946824619134, 'y': 2.9688553623796565}. \n[I 2023-11-01 05:27:32,446] Trial 8 finished with values: [100.09618187807513, 14.721893143639885] and parameters: {'x': 4.864742390222473, 'y': 1.1654728423654168}. \n[I 2023-11-01 05:27:32,447] Trial 9 finished with values: [34.08176988147487, 22.02239752926515] and parameters: {'x': 0.8605615272484701, 'y': 2.7892429668618863}. \n[I 2023-11-01 05:27:32,448] Trial 10 finished with values: [10.931459303513805, 33.29314496161718] and parameters: {'x': 1.6213515620083607, 'y': 0.32262042441776617}. \n[I 2023-11-01 05:27:32,449] Trial 11 finished with values: [51.60635472836498, 24.534651541208085] and parameters: {'x': 3.5829007543735365, 'y': 0.2537929597147792}. \n[I 2023-11-01 05:27:32,450] Trial 12 finished with values: [3.676107587271854, 37.362520989964366] and parameters: {'x': 0.6696817455890042, 'y': 0.6859688450963555}. \n[I 2023-11-01 05:27:32,451] Trial 13 finished with values: [85.61121771042768, 22.344552608097228] and parameters: {'x': 4.617311360804509, 'y': 0.28851382114645985}. \n[I 2023-11-01 05:27:32,452] Trial 14 finished with values: [53.52998084036522, 23.285562466658508] and parameters: {'x': 3.6394222905040943, 'y': 0.37027098383918544}. \n[I 2023-11-01 05:27:32,453] Trial 15 finished with values: [87.83071661905484, 17.935473138798308] and parameters: {'x': 4.620183702287472, 'y': 0.7820368993090687}. \n[I 2023-11-01 05:27:32,454] Trial 16 finished with values: [23.766810037258978, 29.164768262259855] and parameters: {'x': 0.25333267030647977, 'y': 2.424360754399009}. \n[I 2023-11-01 05:27:32,455] Trial 17 finished with values: [6.505164008560464, 35.331887617619984] and parameters: {'x': 1.2012127913113513, 'y': 0.428227547140662}. \n[I 2023-11-01 05:27:32,456] Trial 18 finished with values: [37.797945053744584, 16.332010002023715] and parameters: {'x': 1.8784729590084681, 'y': 2.4332746671327747}. \n[I 2023-11-01 05:27:32,457] Trial 19 finished with values: [43.3388825136945, 16.945858585726494] and parameters: {'x': 2.9701877674111055, 'y': 1.4186984368586075}. \n[I 2023-11-01 05:27:32,458] Trial 20 finished with values: [63.72607306425623, 12.113197353248978] and parameters: {'x': 3.5422267811217276, 'y': 1.8396053101597802}. \n[I 2023-11-01 05:27:32,459] Trial 21 finished with values: [15.331044887999944, 28.173261318510868] and parameters: {'x': 0.7630175231086178, 'y': 1.8029324672402947}. \n[I 2023-11-01 05:27:32,460] Trial 22 finished with values: [25.19801539178267, 20.81445700329347] and parameters: {'x': 1.8164489067246596, 'y': 1.73205577774056}. \n[I 2023-11-01 05:27:32,461] Trial 23 finished with values: [32.22186427441994, 27.257237350974403] and parameters: {'x': 0.25289713761449784, 'y': 2.8269257341485607}. \n[I 2023-11-01 05:27:32,462] Trial 24 finished with values: [27.729241117793016, 26.222854721403507] and parameters: {'x': 0.4826297278490427, 'y': 2.588315827955432}. \n[I 2023-11-01 05:27:32,463] Trial 25 finished with values: [66.8065179135026, 9.003290790976708] and parameters: {'x': 3.0524550523411467, 'y': 2.717378816398748}. \n[I 2023-11-01 05:27:32,464] Trial 26 finished with values: [53.504205082557405, 21.78133590649228] and parameters: {'x': 3.6168514989702145, 'y': 0.5426200374444925}. \n[I 2023-11-01 05:27:32,465] Trial 27 finished with values: [20.57110813737198, 23.321290308026313] and parameters: {'x': 1.3913971631371624, 'y': 1.790751509494506}. \n[I 2023-11-01 05:27:32,466] Trial 28 finished with values: [3.9728567110964264, 38.313699765013745] and parameters: {'x': 0.941679920363272, 'y': 0.32627152091276423}. \n[I 2023-11-01 05:27:32,468] Trial 29 finished with values: [2.0094357536427667, 41.80351584225872] and parameters: {'x': 0.18593454211941474, 'y': 0.6839497674957827}. \n[I 2023-11-01 05:27:32,469] Trial 30 finished with values: [24.7931125841299, 23.148927979068226] and parameters: {'x': 2.2595014504549846, 'y': 1.0454335662414405}. \n[I 2023-11-01 05:27:32,470] Trial 31 finished with values: [37.691760206149375, 19.17532061122433] and parameters: {'x': 2.8258874865796195, 'y': 1.1988744574516819}. \n[I 2023-11-01 05:27:32,471] Trial 32 finished with values: [14.522212165277203, 27.07842802978518] and parameters: {'x': 1.5572541638903503, 'y': 1.0979583372630617}. \n[I 2023-11-01 05:27:32,472] Trial 33 finished with values: [30.07498066910392, 22.72708965624649] and parameters: {'x': 2.595867979582595, 'y': 0.8832975715203539}. \n[I 2023-11-01 05:27:32,473] Trial 34 finished with values: [52.8938359315913, 12.502242397044068] and parameters: {'x': 2.111649517501641, 'y': 2.9604721410837347}. \n[I 2023-11-01 05:27:32,474] Trial 35 finished with values: [76.9968752213028, 15.16495788865888] and parameters: {'x': 4.224687052650825, 'y': 1.1837390390158569}. \n[I 2023-11-01 05:27:32,475] Trial 36 finished with values: [43.03703336577429, 15.474853683010718] and parameters: {'x': 1.7612928946807715, 'y': 2.767147571162514}. \n[I 2023-11-01 05:27:32,476] Trial 37 finished with values: [108.04504091182734, 11.922491606612088] and parameters: {'x': 4.961558992823505, 'y': 1.5473178693109695}. \n[I 2023-11-01 05:27:32,477] Trial 38 finished with values: [44.62679943268051, 15.52995269365822] and parameters: {'x': 1.6699047887223628, 'y': 2.892769927728828}. \n[I 2023-11-01 05:27:32,478] Trial 39 finished with values: [6.800565182508744, 36.561615581569704] and parameters: {'x': 0.23049182081133213, 'y': 1.283360750594416}. \n[I 2023-11-01 05:27:32,479] Trial 40 finished with values: [45.89787187192945, 14.981674193982363] and parameters: {'x': 2.901947493698294, 'y': 1.747331883701706}. \n[I 2023-11-01 05:27:32,480] Trial 41 finished with values: [26.63635524297037, 26.499770310024402] and parameters: {'x': 2.5353816998329926, 'y': 0.4805501502388264}. \n[I 2023-11-01 05:27:32,481] Trial 42 finished with values: [81.70976024712309, 24.532532848104587] and parameters: {'x': 4.519124770881296, 'y': 0.070365950486322}. \n[I 2023-11-01 05:27:32,482] Trial 43 finished with values: [58.029319389662874, 25.4557508994272] and parameters: {'x': 3.807599264776141, 'y': 0.0975586300227107}. \n[I 2023-11-01 05:27:32,483] Trial 44 finished with values: [11.147786489983183, 35.460446109716045] and parameters: {'x': 1.6681693130162223, 'y': 0.06448073826175282}. \n[I 2023-11-01 05:27:32,484] Trial 45 finished with values: [73.68316963820848, 20.461885105782947] and parameters: {'x': 4.25812122524773, 'y': 0.5377695051291875}. \n[I 2023-11-01 05:27:32,485] Trial 46 finished with values: [55.11570784287927, 11.64351756606419] and parameters: {'x': 2.299832041886018, 'y': 2.9137088975795447}. \n[I 2023-11-01 05:27:32,486] Trial 47 finished with values: [79.47739363347132, 20.599045967837302] and parameters: {'x': 4.429670621403558, 'y': 0.49735962264949507}. \n[I 2023-11-01 05:27:32,488] Trial 48 finished with values: [38.877492035141074, 15.684420332790733] and parameters: {'x': 2.3112641231971605, 'y': 2.092231144402293}. \n[I 2023-11-01 05:27:32,489] Trial 49 finished with values: [46.49979283724797, 23.38323465603214] and parameters: {'x': 3.3805551073520017, 'y': 0.4436162479759834}. \n\u001b[2Kreading sources... [ 77%] reference/visualization/generated/optuna.visualization.matplotlib.plot_hypervolume_history\n<string>:18: ExperimentalWarning:\n\nplot_hypervolume_history is experimental (supported from v3.3.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:33,160] A new study created in memory with name: no-name-e9c84749-6b64-43a4-80f9-a3dd928af666\n[I 2023-11-01 05:27:33,165] Trial 0 finished with value: 0.0019136820148431557 and parameters: {'lr': 0.012169775677700537}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:27:33,169] Trial 1 finished with value: 0.9938688492959205 and parameters: {'lr': 1.2106198691436028e-05}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:27:33,173] Trial 2 finished with value: 0.1745378429868226 and parameters: {'lr': 0.0034244666391252923}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:27:33,177] Trial 3 finished with value: 0.006252957628893589 and parameters: {'lr': 0.009890438121030055}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:27:33,181] Trial 4 finished with value: 0.6055868994372475 and parameters: {'lr': 0.0009863431872330064}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:27:33,182] Trial 5 pruned. \n[I 2023-11-01 05:27:33,184] Trial 6 pruned. \n[I 2023-11-01 05:27:33,222] Trial 7 finished with value: 0.00348251977331975 and parameters: {'lr': 0.011018509458263562}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:27:33,224] Trial 8 pruned. \n[I 2023-11-01 05:27:33,225] Trial 9 pruned. \n[I 2023-11-01 05:27:33,270] Trial 10 finished with value: 2.8413318183320897e-13 and parameters: {'lr': 0.053753912442422704}. Best is trial 10 with value: 2.8413318183320897e-13.\n[I 2023-11-01 05:27:33,314] Trial 11 finished with value: 3.23351297854631e-20 and parameters: {'lr': 0.08097836606986637}. Best is trial 11 with value: 3.23351297854631e-20.\n[I 2023-11-01 05:27:33,358] Trial 12 finished with value: 1.5818620680169856e-23 and parameters: {'lr': 0.09336678872953223}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:27:33,400] Trial 13 finished with value: 8.701934191941001e-16 and parameters: {'lr': 0.06380854538856418}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:27:33,443] Trial 14 finished with value: 1.3380099081736585e-15 and parameters: {'lr': 0.0630691017367573}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:27:33,487] Trial 15 finished with value: 1.380974859858719e-22 and parameters: {'lr': 0.08988313704170887}. Best is trial 12 with value: 1.5818620680169856e-23.\n\u001b[2Kreading sources... [ 78%] reference/visualization/generated/optuna.visualization.matplotlib.plot_intermediate_values\n<string>:33: ExperimentalWarning:\n\nplot_intermediate_values is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:33,897] A new study created in memory with name: no-name-b4cbbd89-7a98-4a16-a399-c3177a84729a\n[I 2023-11-01 05:27:33,898] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:27:33,899] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,900] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,901] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,902] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,902] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,903] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,904] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,905] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,906] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 78%] reference/visualization/generated/optuna.visualization.matplotlib.plot_optimization_history\n<string>:14: ExperimentalWarning:\n\nplot_optimization_history is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:34,176] A new study created in memory with name: no-name-b6e4df75-dcda-4b9c-a946-003b77c1c88d\n[I 2023-11-01 05:27:34,177] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:27:34,178] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,179] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,180] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,181] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,182] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,183] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,184] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,184] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,185] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 79%] reference/visualization/generated/optuna.visualization.matplotlib.plot_parallel_coordinate\n<string>:13: ExperimentalWarning:\n\nplot_parallel_coordinate is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:34,458] A new study created in memory with name: no-name-4522bbe1-89cd-40eb-b8d3-31a9a0c28ab4\n[I 2023-11-01 05:27:34,460] Trial 0 finished with value: 2.303288077753039 and parameters: {'x': 2, 'y': -0.958496101281197, 'z': 0.9504723523894132}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:27:34,461] Trial 1 finished with value: 3.987072181809778 and parameters: {'x': 2, 'y': -0.0029859753948191514, 'z': 0.3371949682962715}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:27:34,462] Trial 2 finished with value: 0.1373303052750334 and parameters: {'x': 0, 'y': 0.5210614243979175, 'z': 0.2536662548438032}. Best is trial 2 with value: 0.1373303052750334.\n[I 2023-11-01 05:27:34,463] Trial 3 finished with value: -4.131719919585369 and parameters: {'x': 0, 'y': 0.3707196367355945, 'z': 1.4300900192924049}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,465] Trial 4 finished with value: -2.2075688995928044 and parameters: {'x': 0, 'y': 0.024384526771553228, 'z': 1.2189314424781703}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,466] Trial 5 finished with value: 1.0504976105266983 and parameters: {'x': 1, 'y': 0.4435106348635991, 'z': 0.43781410225594974}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,467] Trial 6 finished with value: 3.6403994820820413 and parameters: {'x': 2, 'y': 0.42915156679538113, 'z': 0.8138165520168918}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,468] Trial 7 finished with value: -1.0618155340386866 and parameters: {'x': 0, 'y': -0.2533184798970616, 'z': 1.011200422599518}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,469] Trial 8 finished with value: 0.26036828149432933 and parameters: {'x': 1, 'y': -0.13197201333341257, 'z': 0.9266504677039757}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,470] Trial 9 finished with value: 0.3665588473301721 and parameters: {'x': 1, 'y': 0.30079436386293446, 'z': 0.9015584301068166}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,472] Trial 10 finished with value: 0.5490457030167408 and parameters: {'x': 2, 'y': 0.043294304787268256, 'z': 1.3629733212130024}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,473] Trial 11 finished with value: -0.5909072245888702 and parameters: {'x': 0, 'y': -0.8190813014581853, 'z': 0.45105008495430504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,474] Trial 12 finished with value: 0.28403878205829847 and parameters: {'x': 0, 'y': 0.6573626526153533, 'z': 0.07034447908387464}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,475] Trial 13 finished with value: -1.2800539009325118 and parameters: {'x': 1, 'y': 0.09517231183848707, 'z': 1.228930493505103}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,476] Trial 14 finished with value: 0.28612245684320287 and parameters: {'x': 0, 'y': 0.7137006049154664, 'z': 0.5274789591481319}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,477] Trial 15 finished with value: 0.8413984238191299 and parameters: {'x': 2, 'y': -0.4080765862406426, 'z': 1.3259047193417794}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,479] Trial 16 finished with value: -0.4209059689419605 and parameters: {'x': 0, 'y': -0.669968204561703, 'z': 0.5887938659198809}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,480] Trial 17 finished with value: 0.2622281285098704 and parameters: {'x': 0, 'y': 0.6422113156738569, 'z': 0.2267280294638458}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,481] Trial 18 finished with value: -3.1150676084049143 and parameters: {'x': 1, 'y': 0.8885214244776023, 'z': 1.4814382123528085}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,482] Trial 19 finished with value: 1.2572674813923508 and parameters: {'x': 1, 'y': 0.6522456876854796, 'z': 0.377061201310589}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,483] Trial 20 finished with value: 1.109576126625988 and parameters: {'x': 1, 'y': 0.8056635206632548, 'z': 0.8018369232027226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,484] Trial 21 finished with value: 0.13525979446250405 and parameters: {'x': 1, 'y': -0.9214364655492253, 'z': 0.5357726379518044}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,486] Trial 22 finished with value: -0.11946269307197326 and parameters: {'x': 0, 'y': -0.38908016331436346, 'z': 0.496078967973198}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,487] Trial 23 finished with value: 3.048844180430364 and parameters: {'x': 2, 'y': -0.9200815826200455, 'z': 0.6442382676474575}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,488] Trial 24 finished with value: -0.052504516247150426 and parameters: {'x': 0, 'y': 0.27298228613508924, 'z': 0.5195207251200495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,489] Trial 25 finished with value: -1.2792692674509083 and parameters: {'x': 0, 'y': 0.759830349035832, 'z': 1.1448608807155216}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,491] Trial 26 finished with value: 3.314670809360776 and parameters: {'x': 2, 'y': -0.16498171232146608, 'z': 0.9083663465906351}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,492] Trial 27 finished with value: 0.9835588143169801 and parameters: {'x': 1, 'y': 0.1956732959259473, 'z': 0.3933234916979254}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,493] Trial 28 finished with value: -0.8979185222841687 and parameters: {'x': 0, 'y': -0.9492004358997879, 'z': 0.45459384097655214}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,494] Trial 29 finished with value: -0.5162192525906403 and parameters: {'x': 0, 'y': 0.11515637732528838, 'z': 0.8482605298322513}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,495] Trial 30 finished with value: 0.9287478215836122 and parameters: {'x': 1, 'y': -0.4144040474209818, 'z': 0.09637659104223667}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,496] Trial 31 finished with value: 3.6629941314557772 and parameters: {'x': 2, 'y': -0.3205843127242727, 'z': 0.7425729463236814}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,497] Trial 32 finished with value: 3.9463906776735107 and parameters: {'x': 2, 'y': -0.11845235019866696, 'z': 0.4774092082184268}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,498] Trial 33 finished with value: -1.6881011620090576 and parameters: {'x': 1, 'y': 0.156272859764935, 'z': 1.2809006257507296}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,499] Trial 34 finished with value: -1.893044916603758 and parameters: {'x': 0, 'y': -0.07093838444133493, 'z': 1.1729236779287227}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,501] Trial 35 finished with value: 4.005082765391397 and parameters: {'x': 2, 'y': 0.1720439601063517, 'z': 0.05564161985161181}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,502] Trial 36 finished with value: 0.9611598377675362 and parameters: {'x': 1, 'y': 0.12638136898549002, 'z': 0.44959480863684426}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,503] Trial 37 finished with value: 1.0385066437780113 and parameters: {'x': 1, 'y': 0.34693385056944104, 'z': 0.23879060006714026}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,504] Trial 38 finished with value: -0.03481869624869508 and parameters: {'x': 0, 'y': -0.32436822587064107, 'z': 0.16209565916917884}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,505] Trial 39 finished with value: 0.36926790170369916 and parameters: {'x': 0, 'y': 0.7716541923354114, 'z': 0.5480474568211737}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,506] Trial 40 finished with value: 0.12812115659454607 and parameters: {'x': 0, 'y': 0.5049923404372056, 'z': 0.16031937659035372}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,507] Trial 41 finished with value: 3.3512758155964324 and parameters: {'x': 2, 'y': -0.060429413119011066, 'z': 0.8973835069186638}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,508] Trial 42 finished with value: -1.128945814699914 and parameters: {'x': 0, 'y': -0.6319303558136975, 'z': 0.9676081897023627}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,510] Trial 43 finished with value: -0.5652914601075866 and parameters: {'x': 0, 'y': -0.5027749843944611, 'z': 0.8136127743420063}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,511] Trial 44 finished with value: -3.6754171752298412 and parameters: {'x': 0, 'y': -0.23717693019073582, 'z': 1.3833491803553195}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,512] Trial 45 finished with value: 3.5923565401224673 and parameters: {'x': 2, 'y': 0.1334998491499999, 'z': 0.800206327483504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,513] Trial 46 finished with value: 0.3273232510679114 and parameters: {'x': 0, 'y': 0.9557985268040099, 'z': 0.8595433560497787}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,514] Trial 47 finished with value: 1.0025147792970173 and parameters: {'x': 2, 'y': 0.12311472055273787, 'z': 1.316002862347402}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,515] Trial 48 finished with value: 1.0704131899221963 and parameters: {'x': 1, 'y': 0.41769965273791043, 'z': 0.22280017703468785}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,517] Trial 49 finished with value: 1.0577053447123854 and parameters: {'x': 1, 'y': 0.38778013268482336, 'z': 0.15692961678427975}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,518] Trial 50 finished with value: 0.3680190757085285 and parameters: {'x': 1, 'y': -0.6675957045909326, 'z': 0.7604679438960711}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,519] Trial 51 finished with value: 1.3747495993933643 and parameters: {'x': 2, 'y': -0.8197865305511229, 'z': 1.2001031260412178}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,520] Trial 52 finished with value: 0.9979094500663931 and parameters: {'x': 1, 'y': 0.1786954233612148, 'z': 0.29715098582440336}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,521] Trial 53 finished with value: 0.9319764488693013 and parameters: {'x': 1, 'y': -0.4081924755583253, 'z': 0.05633651391251654}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,522] Trial 54 finished with value: -1.5592042740852488 and parameters: {'x': 0, 'y': -0.09378999959753309, 'z': 1.1172961154251015}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,524] Trial 55 finished with value: 0.9838292684588362 and parameters: {'x': 1, 'y': -0.22977280086902696, 'z': 0.2521091962989279}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,525] Trial 56 finished with value: 2.1076623237986754 and parameters: {'x': 2, 'y': 0.19810359492298524, 'z': 1.1740722273674566}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,526] Trial 57 finished with value: 2.1246831699758735 and parameters: {'x': 2, 'y': 0.20632595172406965, 'z': 1.1715909259354231}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,527] Trial 58 finished with value: -1.4840880698467611 and parameters: {'x': 1, 'y': -0.95766961765569, 'z': 1.1256969157312366}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,528] Trial 59 finished with value: -0.3515250197672625 and parameters: {'x': 0, 'y': -0.08297158752545397, 'z': 0.7696840615983677}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,529] Trial 60 finished with value: 1.3220296764593489 and parameters: {'x': 1, 'y': 0.6887715890786952, 'z': 0.2622208422331791}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,530] Trial 61 finished with value: -1.2007575031405602 and parameters: {'x': 0, 'y': 0.6975281436224643, 'z': 1.1140118659491511}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,531] Trial 62 finished with value: 0.994468973365035 and parameters: {'x': 1, 'y': -0.1662031859012445, 'z': 0.1750942664204449}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,532] Trial 63 finished with value: -0.8620345557039887 and parameters: {'x': 1, 'y': -0.8106819185126939, 'z': 1.0737463091269712}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,535] Trial 64 finished with value: -0.7521010442890089 and parameters: {'x': 0, 'y': -0.588099483262055, 'z': 0.8606643471768032}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,537] Trial 65 finished with value: -2.080632890204889 and parameters: {'x': 0, 'y': 0.3114534854291964, 'z': 1.2053525216148295}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,538] Trial 66 finished with value: -1.7527509150220157 and parameters: {'x': 1, 'y': -0.8131192461124659, 'z': 1.2199741255062062}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,539] Trial 67 finished with value: 1.1629406477988748 and parameters: {'x': 2, 'y': -0.2131617751269692, 'z': 1.2967187907029298}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,540] Trial 68 finished with value: -1.5100225453807168 and parameters: {'x': 1, 'y': -0.48539422558999235, 'z': 1.2441028797408538}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,542] Trial 69 finished with value: 3.1274555273715547 and parameters: {'x': 2, 'y': 0.015201816109918775, 'z': 0.9664899225621255}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,543] Trial 70 finished with value: -3.911644822917701 and parameters: {'x': 0, 'y': 0.7914178974071162, 'z': 1.4489193772617226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,544] Trial 71 finished with value: 0.34386198109125343 and parameters: {'x': 0, 'y': 0.7311052364545663, 'z': 0.46542556041017846}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,546] Trial 72 finished with value: -0.7388007953082896 and parameters: {'x': 0, 'y': -0.9016096844525427, 'z': 0.27694025702139824}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,547] Trial 73 finished with value: -3.6407063057001596 and parameters: {'x': 0, 'y': -0.4850491531909138, 'z': 1.370372597356012}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,548] Trial 74 finished with value: -1.5826031648960468 and parameters: {'x': 1, 'y': -0.7395764210408102, 'z': 1.2148374981002679}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,549] Trial 75 finished with value: -2.589088162728826 and parameters: {'x': 1, 'y': -0.9511347100336718, 'z': 1.2852465639416288}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,551] Trial 76 finished with value: -0.007960371974823174 and parameters: {'x': 0, 'y': 0.4182119281439811, 'z': 0.533658514235495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,552] Trial 77 finished with value: 3.9028308169237502 and parameters: {'x': 2, 'y': 0.6892377222877011, 'z': 0.8072212757099377}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,553] Trial 78 finished with value: 0.46670116449600285 and parameters: {'x': 1, 'y': -0.7549800371251603, 'z': 0.5664628778611204}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,554] Trial 79 finished with value: -2.2015513126587933 and parameters: {'x': 1, 'y': 0.022417292570930725, 'z': 1.3376438549035414}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,555] Trial 80 finished with value: -2.013616301607068 and parameters: {'x': 0, 'y': -0.207116242243099, 'z': 1.189909849541421}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,556] Trial 81 finished with value: -1.7738059712887448 and parameters: {'x': 1, 'y': -0.6302649000181753, 'z': 1.2603709741325857}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,557] Trial 82 finished with value: -4.523011054108479 and parameters: {'x': 1, 'y': -0.8798995888983607, 'z': 1.4833754612943018}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:27:34,559] Trial 83 finished with value: -0.08079888724155815 and parameters: {'x': 0, 'y': 0.22940342596033925, 'z': 0.5520400212531891}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:27:34,560] Trial 84 finished with value: 1.7141266522072458 and parameters: {'x': 2, 'y': 0.25512370541125784, 'z': 1.2318247142973906}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:27:34,561] Trial 85 finished with value: -0.7520872270920254 and parameters: {'x': 0, 'y': -0.4504097368144626, 'z': 0.901577836698765}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:27:34,562] Trial 86 finished with value: 4.046893464626376 and parameters: {'x': 2, 'y': 0.41459261868287456, 'z': 0.3951047474351363}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:27:34,563] Trial 87 finished with value: -4.571964349495191 and parameters: {'x': 0, 'y': -0.08255154162027267, 'z': 1.4622187490950038}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,564] Trial 88 finished with value: 3.769073758442562 and parameters: {'x': 2, 'y': -0.6134925354270779, 'z': 0.0701088407420925}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,566] Trial 89 finished with value: 1.9906707709215672 and parameters: {'x': 2, 'y': 0.7172980309368531, 'z': 1.2418547636228567}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,567] Trial 90 finished with value: 0.20579475832853023 and parameters: {'x': 2, 'y': 0.1978728981453497, 'z': 1.3963737537716272}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,568] Trial 91 finished with value: -0.5572192676601909 and parameters: {'x': 0, 'y': -0.7720793824906156, 'z': 0.5580433532607516}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,569] Trial 92 finished with value: 3.115262529317084 and parameters: {'x': 2, 'y': -0.3577159370700811, 'z': 0.9570526220169401}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,570] Trial 93 finished with value: -0.06522562849929504 and parameters: {'x': 0, 'y': 0.08693007694983201, 'z': 0.5066319703277753}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,571] Trial 94 finished with value: 4.574547370310522 and parameters: {'x': 2, 'y': 0.8814140769664465, 'z': 0.5761827737303541}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,572] Trial 95 finished with value: 1.5015652459171465 and parameters: {'x': 1, 'y': 0.7945598896386961, 'z': 0.08823355215277057}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,573] Trial 96 finished with value: 0.5950628609995365 and parameters: {'x': 1, 'y': -0.7396489187381752, 'z': 0.13045411338692636}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,575] Trial 97 finished with value: 3.3511994815140613 and parameters: {'x': 2, 'y': -0.3908532893067598, 'z': 0.8760838088329035}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,576] Trial 98 finished with value: 3.781443021265078 and parameters: {'x': 2, 'y': 0.7615841212270811, 'z': 0.9014313108685146}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,577] Trial 99 finished with value: 0.26309303070193535 and parameters: {'x': 1, 'y': -0.8867435943237876, 'z': 0.44622614546388273}. Best is trial 87 with value: -4.571964349495191.\n\u001b[2Kreading sources... [ 79%] reference/visualization/generated/optuna.visualization.matplotlib.plot_param_importances\n<string>:15: ExperimentalWarning:\n\nplot_param_importances is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:36,361] A new study created in memory with name: no-name-b5a4ce8a-b8e8-4fe9-97b6-a15f9be646de\n[I 2023-11-01 05:27:36,363] Trial 0 finished with values: [75.67222849481738, 7.9077708601690135] and parameters: {'x': 3.4421659274410925, 'y': 2.6588626989124404}. \n[I 2023-11-01 05:27:36,364] Trial 1 finished with values: [62.45070373290372, 22.355150305071614] and parameters: {'x': 3.9315775444640004, 'y': 0.39417501835143076}. \n[I 2023-11-01 05:27:36,365] Trial 2 finished with values: [15.580048950834305, 29.87736526668286] and parameters: {'x': 0.48997609327409597, 'y': 1.9117886038284753}. \n[I 2023-11-01 05:27:36,366] Trial 3 finished with values: [1.4663060333299842, 41.84667310973943] and parameters: {'x': 0.4686140549790496, 'y': 0.38337628488025743}. \n[I 2023-11-01 05:27:36,366] Trial 4 finished with values: [74.36858941343357, 7.891871822981994] and parameters: {'x': 3.3261581616959464, 'y': 2.7438693913416934}. \n[I 2023-11-01 05:27:36,367] Trial 5 finished with values: [64.19115260248464, 16.51900300795381] and parameters: {'x': 3.851627491899545, 'y': 1.1012510223671903}. \n[I 2023-11-01 05:27:36,368] Trial 6 finished with values: [113.12409363810671, 8.449873971910106] and parameters: {'x': 4.887816088798374, 'y': 2.0952988549632834}. \n[I 2023-11-01 05:27:36,369] Trial 7 finished with values: [32.76586050950068, 23.864879988409616] and parameters: {'x': 2.7886848161873568, 'y': 0.6439736977091987}. \n[I 2023-11-01 05:27:36,370] Trial 8 finished with values: [48.6508135729492, 12.874786043949278] and parameters: {'x': 2.3743697321312003, 'y': 2.554422002797602}. \n[I 2023-11-01 05:27:36,371] Trial 9 finished with values: [44.992952544818216, 15.101919520332306] and parameters: {'x': 1.7592171590304533, 'y': 2.8554147025567715}. \n[I 2023-11-01 05:27:36,372] Trial 10 finished with values: [1.715131709434339, 42.5743545293583] and parameters: {'x': 0.63799952742494, 'y': 0.14744331237508856}. \n[I 2023-11-01 05:27:36,373] Trial 11 finished with values: [58.468456468452786, 10.706602504556184] and parameters: {'x': 2.488888452459927, 'y': 2.902162708795774}. \n[I 2023-11-01 05:27:36,374] Trial 12 finished with values: [90.0253982813633, 20.885249607425727] and parameters: {'x': 4.723793872044586, 'y': 0.4383161242469247}. \n[I 2023-11-01 05:27:36,375] Trial 13 finished with values: [23.437724544372045, 24.15946287952624] and parameters: {'x': 0.9388594189747307, 'y': 2.2311374066819467}. \n[I 2023-11-01 05:27:36,376] Trial 14 finished with values: [87.86705707101609, 9.718959447047322] and parameters: {'x': 4.2509898727694315, 'y': 1.9737906093012385}. \n[I 2023-11-01 05:27:36,377] Trial 15 finished with values: [109.78785221319814, 8.02488662229681] and parameters: {'x': 4.765290742620585, 'y': 2.1769169004796876}. \n[I 2023-11-01 05:27:36,378] Trial 16 finished with values: [2.362706434104838, 42.415427591908546] and parameters: {'x': 0.7668847247176586, 'y': 0.05064017694410772}. \n[I 2023-11-01 05:27:36,379] Trial 17 finished with values: [39.124578465402365, 19.896158087507057] and parameters: {'x': 2.9500432017940854, 'y': 1.0384554510902684}. \n[I 2023-11-01 05:27:36,380] Trial 18 finished with values: [44.68476849212886, 17.131757095434658] and parameters: {'x': 3.0604101403404025, 'y': 1.343533362419353}. \n[I 2023-11-01 05:27:36,381] Trial 19 finished with values: [35.298115908397556, 23.061553336731187] and parameters: {'x': 2.890323188324314, 'y': 0.6859743757125062}. \n[I 2023-11-01 05:27:36,382] Trial 20 finished with values: [96.16503689610808, 7.041742449112973] and parameters: {'x': 4.243447434171958, 'y': 2.456504243319447}. \n[I 2023-11-01 05:27:36,383] Trial 21 finished with values: [15.589630173432326, 31.20378508465159] and parameters: {'x': 1.9478247270627085, 'y': 0.3215375188079407}. \n[I 2023-11-01 05:27:36,384] Trial 22 finished with values: [2.17210382605177, 42.72844860254499] and parameters: {'x': 0.04599138757243382, 'y': 0.7354663478243615}. \n[I 2023-11-01 05:27:36,385] Trial 23 finished with values: [35.24883034847939, 21.549048809735943] and parameters: {'x': 2.8299807191079602, 'y': 0.8963351586304306}. \n[I 2023-11-01 05:27:36,386] Trial 24 finished with values: [45.93347165981196, 20.360894822919484] and parameters: {'x': 3.2865867684185606, 'y': 0.82566054078479}. \n[I 2023-11-01 05:27:36,387] Trial 25 finished with values: [119.76275433259349, 4.742482557823556] and parameters: {'x': 4.672828051124459, 'y': 2.8469925514080225}. \n[I 2023-11-01 05:27:36,387] Trial 26 finished with values: [7.517146647411453, 33.70802100254769] and parameters: {'x': 1.2464332161848675, 'y': 0.5706933497456499}. \n[I 2023-11-01 05:27:36,388] Trial 27 finished with values: [23.47829240161855, 24.86359957219902] and parameters: {'x': 0.8213538471379617, 'y': 2.2792435056826}. \n[I 2023-11-01 05:27:36,389] Trial 28 finished with values: [10.462883358095862, 35.418833232519795] and parameters: {'x': 0.10583638215513058, 'y': 1.6138523785452865}. \n[I 2023-11-01 05:27:36,391] Trial 29 finished with values: [97.87898683151265, 6.13627240571962] and parameters: {'x': 4.1658159435463435, 'y': 2.667531486669511}. \n[I 2023-11-01 05:27:36,391] Trial 30 finished with values: [5.687478200231261, 35.333944283423655] and parameters: {'x': 0.5516485104892888, 'y': 1.0571440161741277}. \n[I 2023-11-01 05:27:36,393] Trial 31 finished with values: [28.04552600502105, 21.119876530192975] and parameters: {'x': 1.260543013656981, 'y': 2.3286074834492476}. \n[I 2023-11-01 05:27:36,394] Trial 32 finished with values: [30.64573011395318, 22.969078974730163] and parameters: {'x': 2.641159335030117, 'y': 0.8280760203456962}. \n[I 2023-11-01 05:27:36,395] Trial 33 finished with values: [8.060719079012637, 36.032861617249] and parameters: {'x': 1.4065726147714208, 'y': 0.19165920047899487}. \n[I 2023-11-01 05:27:36,396] Trial 34 finished with values: [41.30132119675838, 14.996998773210656] and parameters: {'x': 2.1051061542173057, 'y': 2.4277269983805883}. \n[I 2023-11-01 05:27:36,397] Trial 35 finished with values: [47.783870118474354, 18.71256501114212] and parameters: {'x': 3.3019183583266525, 'y': 1.0214218935209942}. \n[I 2023-11-01 05:27:36,398] Trial 36 finished with values: [66.65925702633703, 8.943183122528902] and parameters: {'x': 2.9403067939291496, 'y': 2.831856319476386}. \n[I 2023-11-01 05:27:36,399] Trial 37 finished with values: [51.48046129319299, 12.314485347899614] and parameters: {'x': 2.3147595371660588, 'y': 2.7408034603738045}. \n[I 2023-11-01 05:27:36,400] Trial 38 finished with values: [81.42881566863866, 10.849107825451439] and parameters: {'x': 4.1267380349882705, 'y': 1.8240715741825522}. \n[I 2023-11-01 05:27:36,401] Trial 39 finished with values: [36.9837681845575, 27.287687607811353] and parameters: {'x': 3.0365391349254924, 'y': 0.15928630890730955}. \n[I 2023-11-01 05:27:36,402] Trial 40 finished with values: [29.332426815519604, 26.7530040620117] and parameters: {'x': 0.3763140815634053, 'y': 2.6816961826234142}. \n[I 2023-11-01 05:27:36,403] Trial 41 finished with values: [87.73788070192661, 9.624535143032022] and parameters: {'x': 4.238401501977823, 'y': 1.9925920012671399}. \n[I 2023-11-01 05:27:36,404] Trial 42 finished with values: [0.13013433719509454, 47.72643669974758] and parameters: {'x': 0.1698170909895952, 'y': 0.06079259746552357}. \n[I 2023-11-01 05:27:36,405] Trial 43 finished with values: [37.26370096972484, 18.499710641141675] and parameters: {'x': 2.7429889020901403, 'y': 1.3386325580388128}. \n[I 2023-11-01 05:27:36,406] Trial 44 finished with values: [13.436631125467603, 27.83902261359205] and parameters: {'x': 1.0493227421244637, 'y': 1.5026907746530211}. \n[I 2023-11-01 05:27:36,407] Trial 45 finished with values: [85.74332024368248, 8.665709802466688] and parameters: {'x': 4.070007509061263, 'y': 2.20700451678413}. \n[I 2023-11-01 05:27:36,408] Trial 46 finished with values: [37.54015511812928, 18.916379276061043] and parameters: {'x': 2.796891690779264, 'y': 1.2499742595678636}. \n[I 2023-11-01 05:27:36,409] Trial 47 finished with values: [79.52328288155621, 9.535960421810788] and parameters: {'x': 3.9319314586392338, 'y': 2.102554571218593}. \n[I 2023-11-01 05:27:36,410] Trial 48 finished with values: [43.41844774630513, 14.491352498384835] and parameters: {'x': 2.54930449556017, 'y': 2.087021448258975}. \n[I 2023-11-01 05:27:36,411] Trial 49 finished with values: [53.966493811107135, 12.747896651294909] and parameters: {'x': 3.0926115844858115, 'y': 1.981761095662376}. \n\u001b[2Kreading sources... [ 80%] reference/visualization/generated/optuna.visualization.matplotlib.plot_pareto_front\n<string>:16: ExperimentalWarning:\n\nplot_pareto_front is experimental (supported from v2.8.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:345: ExperimentalWarning:\n\nThe ``constraints_func`` option is an experimental feature. The interface can change in the future.\n\n[I 2023-11-01 05:27:36,609] A new study created in memory with name: no-name-66ef82cc-bf47-4e63-9ec8-5ce30034b173\n[I 2023-11-01 05:27:36,611] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:27:36,612] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,613] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,614] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,615] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,616] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,617] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,619] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,620] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,621] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,628] Trial 10 finished with value: 6552.967716339581 and parameters: {'x': 80.95040281764867, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,634] Trial 11 finished with value: 1581.6759383724113 and parameters: {'x': 39.770289644059815, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,640] Trial 12 finished with value: 1028.2507682929152 and parameters: {'x': 32.06634946938792, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,647] Trial 13 finished with value: 9734.833587691272 and parameters: {'x': 98.6652602879619, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,654] Trial 14 finished with value: 332.07882979888785 and parameters: {'x': 18.223030203533327, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,660] Trial 15 finished with value: 566.7705064178714 and parameters: {'x': -23.806942399599983, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,668] Trial 16 finished with value: 213.03950442172285 and parameters: {'x': -14.63008900935749, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,674] Trial 17 finished with value: 642.5871135168867 and parameters: {'x': -25.34930203214453, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,681] Trial 18 finished with value: 1369.8316914198415 and parameters: {'x': -37.01123736677607, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,687] Trial 19 finished with value: 1159.004648306659 and parameters: {'x': -34.058840971275856, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,695] Trial 20 finished with value: 1281.3531888612108 and parameters: {'x': -35.79599403370733, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,702] Trial 21 finished with value: 268.4820201738229 and parameters: {'x': -16.385420964193226, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,709] Trial 22 finished with value: 274.55651795948256 and parameters: {'x': 16.569747069870516, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,717] Trial 23 finished with value: 1.5264659525593145 and parameters: {'x': -1.2355023077919824, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,724] Trial 24 finished with value: 709.8376961830695 and parameters: {'x': 26.642779438021655, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,732] Trial 25 finished with value: 747.543499314302 and parameters: {'x': -27.34124172956126, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,740] Trial 26 finished with value: 2097.0943980014476 and parameters: {'x': -45.79404325893759, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,748] Trial 27 finished with value: 2694.8946162727752 and parameters: {'x': -51.9123744041127, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,756] Trial 28 finished with value: 535.2215173103501 and parameters: {'x': -23.113232515387157, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,766] Trial 29 finished with value: 383.4698273179495 and parameters: {'x': -19.556835820703448, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n<string>:22: ExperimentalWarning:\n\nplot_rank is experimental (supported from v3.2.0). The interface can change in the future.\n\n[W 2023-11-01 05:27:36,767] Output figures of this Matplotlib-based `plot_rank` function would be different from those of the Plotly-based `plot_rank`.\n\u001b[2Kreading sources... [ 80%] reference/visualization/generated/optuna.visualization.matplotlib.plot_rank\n[I 2023-11-01 05:27:37,016] A new study created in memory with name: no-name-9f90c677-0c98-4e89-b2c7-d5dc34cbcc9d\n[I 2023-11-01 05:27:37,018] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:27:37,019] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,020] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,021] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,021] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,022] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,023] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,024] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,025] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,026] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 81%] reference/visualization/generated/optuna.visualization.matplotlib.plot_slice\n<string>:14: ExperimentalWarning:\n\nplot_slice is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:37,290] A new study created in memory with name: no-name-0a8b1896-bc73-4ad9-8803-78650b44dbe6\n[I 2023-11-01 05:27:37,405] Trial 0 finished with value: 0.9101587301587302 and parameters: {'reg_alpha': 0.020802823315748106, 'reg_lambda': 1.4872446023656843e-08, 'num_leaves': 25, 'colsample_bytree': 0.5010904897196649, 'subsample': 0.7010858980967017, 'subsample_freq': 2, 'min_child_samples': 55}. Best is trial 0 with value: 0.9101587301587302.\n[I 2023-11-01 05:27:37,609] Trial 1 finished with value: 0.9830158730158731 and parameters: {'reg_alpha': 2.4304470742251595e-06, 'reg_lambda': 0.0044575618053916575, 'num_leaves': 213, 'colsample_bytree': 0.788486030283188, 'subsample': 0.9080199607377335, 'subsample_freq': 1, 'min_child_samples': 19}. Best is trial 0 with value: 0.9101587301587302.\n[I 2023-11-01 05:27:37,681] Trial 2 finished with value: 0.3995238095238095 and parameters: {'reg_alpha': 2.823704059971935, 'reg_lambda': 4.882839271611993e-07, 'num_leaves': 110, 'colsample_bytree': 0.4985052084440066, 'subsample': 0.43604148883008587, 'subsample_freq': 1, 'min_child_samples': 49}. Best is trial 2 with value: 0.3995238095238095.\n[I 2023-11-01 05:27:37,796] Trial 3 finished with value: 0.9609523809523809 and parameters: {'reg_alpha': 8.207767979083947e-05, 'reg_lambda': 0.7689648237204111, 'num_leaves': 127, 'colsample_bytree': 0.8340650550927962, 'subsample': 0.8575432944184982, 'subsample_freq': 3, 'min_child_samples': 52}. Best is trial 2 with value: 0.3995238095238095.\n[I 2023-11-01 05:27:37,879] Trial 4 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 0.00010447548068512174, 'reg_lambda': 5.607552014111951e-06, 'num_leaves': 75, 'colsample_bytree': 0.7241444026412496, 'subsample': 0.5538680316223129, 'subsample_freq': 3, 'min_child_samples': 69}. Best is trial 4 with value: 0.3985714285714286.\n[I 2023-11-01 05:27:37,958] Trial 5 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 0.007305198237134968, 'reg_lambda': 0.03972454927538197, 'num_leaves': 184, 'colsample_bytree': 0.5145625747940883, 'subsample': 0.47060434822452507, 'subsample_freq': 7, 'min_child_samples': 57}. Best is trial 4 with value: 0.3985714285714286.\n[I 2023-11-01 05:27:38,057] Trial 6 finished with value: 0.9552380952380952 and parameters: {'reg_alpha': 1.600525918153979, 'reg_lambda': 0.0010424476836628455, 'num_leaves': 4, 'colsample_bytree': 0.5955546621841911, 'subsample': 0.9935463044800025, 'subsample_freq': 3, 'min_child_samples': 66}. Best is trial 4 with value: 0.3985714285714286.\n[I 2023-11-01 05:27:38,105] Trial 7 finished with value: 0.33095238095238094 and parameters: {'reg_alpha': 1.7136326525379945e-06, 'reg_lambda': 0.0020685073662825132, 'num_leaves': 8, 'colsample_bytree': 0.8422455306525412, 'subsample': 0.43126463325809505, 'subsample_freq': 7, 'min_child_samples': 80}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,147] Trial 8 finished with value: 0.3984126984126984 and parameters: {'reg_alpha': 1.8991428556675624e-06, 'reg_lambda': 1.1695101587947678e-05, 'num_leaves': 98, 'colsample_bytree': 0.5268447454267631, 'subsample': 0.5970521689753902, 'subsample_freq': 7, 'min_child_samples': 76}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,226] Trial 9 finished with value: 0.6653968253968254 and parameters: {'reg_alpha': 0.09588871266884916, 'reg_lambda': 0.0030071541616178855, 'num_leaves': 237, 'colsample_bytree': 0.9724513716545737, 'subsample': 0.9004111969317279, 'subsample_freq': 4, 'min_child_samples': 68}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,310] Trial 10 finished with value: 0.3990476190476191 and parameters: {'reg_alpha': 2.4802521146131553e-08, 'reg_lambda': 8.57208509970731, 'num_leaves': 51, 'colsample_bytree': 0.9879740886790188, 'subsample': 0.4396467508747404, 'subsample_freq': 6, 'min_child_samples': 99}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,396] Trial 11 finished with value: 0.39841269841269844 and parameters: {'reg_alpha': 5.18156471930232e-07, 'reg_lambda': 1.4561965048177467e-05, 'num_leaves': 84, 'colsample_bytree': 0.42641203840203584, 'subsample': 0.5802381350751699, 'subsample_freq': 6, 'min_child_samples': 91}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,477] Trial 12 finished with value: 0.3995238095238095 and parameters: {'reg_alpha': 1.7255891564927782e-06, 'reg_lambda': 9.347391386382438e-05, 'num_leaves': 173, 'colsample_bytree': 0.6413440170895447, 'subsample': 0.6192169391123971, 'subsample_freq': 7, 'min_child_samples': 86}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,555] Trial 13 finished with value: 0.3987301587301587 and parameters: {'reg_alpha': 1.511848813819916e-08, 'reg_lambda': 9.046794108305647e-05, 'num_leaves': 45, 'colsample_bytree': 0.861634264505848, 'subsample': 0.40315613444580006, 'subsample_freq': 5, 'min_child_samples': 81}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,707] Trial 14 finished with value: 0.9663492063492063 and parameters: {'reg_alpha': 1.3396362948036937e-05, 'reg_lambda': 0.028417938733121456, 'num_leaves': 171, 'colsample_bytree': 0.6763570964277925, 'subsample': 0.5062504629396769, 'subsample_freq': 6, 'min_child_samples': 34}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,795] Trial 15 finished with value: 0.3185714285714286 and parameters: {'reg_alpha': 0.0008272623600883923, 'reg_lambda': 0.00023587393222315517, 'num_leaves': 106, 'colsample_bytree': 0.7285642858107121, 'subsample': 0.6362413706751974, 'subsample_freq': 7, 'min_child_samples': 75}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,050] Trial 16 finished with value: 0.9774603174603176 and parameters: {'reg_alpha': 0.0011210443279395068, 'reg_lambda': 0.00035227605740825203, 'num_leaves': 150, 'colsample_bytree': 0.7567828001534946, 'subsample': 0.6788867338601051, 'subsample_freq': 5, 'min_child_samples': 5}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,132] Trial 17 finished with value: 0.32492063492063494 and parameters: {'reg_alpha': 0.0009558472633215747, 'reg_lambda': 0.022163322927323897, 'num_leaves': 3, 'colsample_bytree': 0.8912230891049209, 'subsample': 0.5123873979155394, 'subsample_freq': 5, 'min_child_samples': 99}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,213] Trial 18 finished with value: 0.39904761904761904 and parameters: {'reg_alpha': 0.0009768568602511927, 'reg_lambda': 0.04961137435384451, 'num_leaves': 59, 'colsample_bytree': 0.9228563437619528, 'subsample': 0.5001392711187913, 'subsample_freq': 5, 'min_child_samples': 98}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,296] Trial 19 finished with value: 0.3977777777777778 and parameters: {'reg_alpha': 0.0008442466648081521, 'reg_lambda': 0.3324491169064198, 'num_leaves': 138, 'colsample_bytree': 0.9058275197585157, 'subsample': 0.6690233304452042, 'subsample_freq': 4, 'min_child_samples': 91}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,388] Trial 20 finished with value: 0.39936507936507937 and parameters: {'reg_alpha': 0.005337599670253233, 'reg_lambda': 0.015733150820523692, 'num_leaves': 29, 'colsample_bytree': 0.7602422988283695, 'subsample': 0.7412433070992155, 'subsample_freq': 6, 'min_child_samples': 100}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,477] Trial 21 finished with value: 0.3987301587301587 and parameters: {'reg_alpha': 6.91844636495357e-05, 'reg_lambda': 0.0011603084538588143, 'num_leaves': 2, 'colsample_bytree': 0.821171931566306, 'subsample': 0.5321019453411879, 'subsample_freq': 7, 'min_child_samples': 78}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,563] Trial 22 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 0.00016113858329231922, 'reg_lambda': 0.005247305771277148, 'num_leaves': 22, 'colsample_bytree': 0.8853544915326373, 'subsample': 0.4722667656979572, 'subsample_freq': 6, 'min_child_samples': 85}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,643] Trial 23 finished with value: 0.39841269841269844 and parameters: {'reg_alpha': 1.2539335812166709e-05, 'reg_lambda': 0.0003690554189416908, 'num_leaves': 77, 'colsample_bytree': 0.7989698087475052, 'subsample': 0.5395415443523697, 'subsample_freq': 5, 'min_child_samples': 72}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,750] Trial 24 finished with value: 0.39904761904761904 and parameters: {'reg_alpha': 0.06781467837248094, 'reg_lambda': 0.006348136119417253, 'num_leaves': 36, 'colsample_bytree': 0.8506188174262972, 'subsample': 0.40681913317045304, 'subsample_freq': 7, 'min_child_samples': 43}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,836] Trial 25 finished with value: 0.39809523809523806 and parameters: {'reg_alpha': 0.0003367126795391215, 'reg_lambda': 0.10912974642661254, 'num_leaves': 63, 'colsample_bytree': 0.9325516792586187, 'subsample': 0.4967790908079089, 'subsample_freq': 6, 'min_child_samples': 92}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,944] Trial 26 finished with value: 0.30857142857142855 and parameters: {'reg_alpha': 0.004359623088482809, 'reg_lambda': 0.0015582342757323607, 'num_leaves': 2, 'colsample_bytree': 0.7174292292479896, 'subsample': 0.632375472527883, 'subsample_freq': 7, 'min_child_samples': 62}. Best is trial 26 with value: 0.30857142857142855.\n[I 2023-11-01 05:27:40,065] Trial 27 finished with value: 0.3987301587301587 and parameters: {'reg_alpha': 0.0033602604796661405, 'reg_lambda': 0.012118856773155282, 'num_leaves': 109, 'colsample_bytree': 0.7125257516252151, 'subsample': 0.6374252142433398, 'subsample_freq': 5, 'min_child_samples': 61}. Best is trial 26 with value: 0.30857142857142855.\n[I 2023-11-01 05:27:40,221] Trial 28 finished with value: 0.9776190476190475 and parameters: {'reg_alpha': 0.02366456090898287, 'reg_lambda': 0.0001402937417159503, 'num_leaves': 213, 'colsample_bytree': 0.6785715349281195, 'subsample': 0.5794123790150972, 'subsample_freq': 4, 'min_child_samples': 42}. Best is trial 26 with value: 0.30857142857142855.\n[I 2023-11-01 05:27:40,332] Trial 29 finished with value: 0.39873015873015877 and parameters: {'reg_alpha': 0.0154949579060849, 'reg_lambda': 0.0012365401450808678, 'num_leaves': 21, 'colsample_bytree': 0.7543235814977067, 'subsample': 0.7211791840585939, 'subsample_freq': 2, 'min_child_samples': 60}. Best is trial 26 with value: 0.30857142857142855.\n<string>:27: ExperimentalWarning:\n\nplot_terminator_improvement is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:129: ExperimentalWarning:\n\nRegretBoundEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:131: ExperimentalWarning:\n\nCrossValidationErrorEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n\n 0%\| \| 0/30 [00:00<?, ?it/s]\n 3%\|▎ \| 1/30 [00:01<00:41, 1.42s/it]\n 7%\|▋ \| 2/30 [00:02<00:40, 1.45s/it]\n 10%\|█ \| 3/30 [00:04<00:39, 1.45s/it]\n 13%\|█▎ \| 4/30 [00:05<00:37, 1.46s/it]\n 17%\|█▋ \| 5/30 [00:07<00:36, 1.45s/it]\n 20%\|██ \| 6/30 [00:08<00:34, 1.44s/it]\n 23%\|██▎ \| 7/30 [00:10<00:33, 1.45s/it]\n 27%\|██▋ \| 8/30 [00:11<00:31, 1.45s/it]\n 30%\|███ \| 9/30 [00:13<00:30, 1.47s/it]\n 33%\|███▎ \| 10/30 [00:15<00:32, 1.63s/it]\n 37%\|███▋ \| 11/30 [00:16<00:30, 1.59s/it]\n 40%\|████ \| 12/30 [00:18<00:28, 1.56s/it]\n 43%\|████▎ \| 13/30 [00:19<00:26, 1.55s/it]\n 47%\|████▋ \| 14/30 [00:21<00:24, 1.55s/it]\n 50%\|█████ \| 15/30 [00:22<00:22, 1.53s/it]\n 53%\|█████▎ \| 16/30 [00:24<00:21, 1.52s/it]\n 57%\|█████▋ \| 17/30 [00:25<00:19, 1.53s/it]\n 60%\|██████ \| 18/30 [00:27<00:18, 1.54s/it]\n 63%\|██████▎ \| 19/30 [00:28<00:17, 1.55s/it]\n 67%\|██████▋ \| 20/30 [00:30<00:15, 1.56s/it]\n 70%\|███████ \| 21/30 [00:31<00:13, 1.55s/it]\n 73%\|███████▎ \| 22/30 [00:33<00:12, 1.54s/it]\n 77%\|███████▋ \| 23/30 [00:35<00:10, 1.55s/it]\n 80%\|████████ \| 24/30 [00:36<00:09, 1.55s/it]\n 83%\|████████▎ \| 25/30 [00:38<00:07, 1.54s/it]\n 87%\|████████▋ \| 26/30 [00:40<00:06, 1.66s/it]\n 90%\|█████████ \| 27/30 [00:41<00:04, 1.61s/it]\n 93%\|█████████▎\| 28/30 [00:43<00:03, 1.58s/it]\n 97%\|█████████▋\| 29/30 [00:44<00:01, 1.56s/it]\n100%\|██████████\| 30/30 [00:45<00:00, 1.53s/it]\n\u001b[2Kreading sources... [ 81%] reference/visualization/generated/optuna.visualization.matplotlib.plot_terminator_improvement\n100%\|██████████\| 30/30 [00:45<00:00, 1.53s/it]\n[I 2023-11-01 05:28:26,527] A new study created in memory with name: no-name-b7c40e1a-7f44-4e36-8642-178fcd8ab508\n[I 2023-11-01 05:28:26,540] Trial 1 finished with value: 0.005206625907241657 and parameters: {'x': 0.07215695328408522}. Best is trial 1 with value: 0.005206625907241657.\n[I 2023-11-01 05:28:26,586] Trial 2 pruned. \n[I 2023-11-01 05:28:26,623] Trial 3 finished with value: 0.12674804341938575 and parameters: {'x': 0.35601691451304074}. Best is trial 1 with value: 0.005206625907241657.\n[W 2023-11-01 05:28:26,625] Trial 0 failed with parameters: {'x': 0.9182325813395823} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:28:26,628] Trial 0 failed with value None.\n[I 2023-11-01 05:28:26,700] Trial 4 pruned. \n[W 2023-11-01 05:28:26,711] Trial 5 failed with parameters: {'x': 0.8133212540393712} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:28:26,713] Trial 5 failed with value None.\n[I 2023-11-01 05:28:26,738] Trial 7 finished with value: 0.05352196036560686 and parameters: {'x': 0.2313481367238709}. Best is trial 1 with value: 0.005206625907241657.\n[I 2023-11-01 05:28:26,755] Trial 6 pruned. \n[W 2023-11-01 05:28:26,833] Trial 8 failed with parameters: {'x': 0.9239459498475103} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:28:26,834] Trial 8 failed with value None.\n[I 2023-11-01 05:28:26,837] Trial 9 pruned. \n[I 2023-11-01 05:28:26,897] Trial 10 pruned. \n[W 2023-11-01 05:28:26,924] Trial 11 failed with parameters: {'x': 0.8551987868350652} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:28:26,925] Trial 11 failed with value None.\n[I 2023-11-01 05:28:26,979] Trial 13 pruned. \n[W 2023-11-01 05:28:26,998] Trial 12 failed with parameters: {'x': 0.9911578492965847} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:28:26,999] Trial 12 failed with value None.\n[I 2023-11-01 05:28:27,042] Trial 14 pruned. \n[I 2023-11-01 05:28:27,044] Trial 15 pruned. \n[I 2023-11-01 05:28:27,055] Trial 16 finished with value: 0.0003912288072136089 and parameters: {'x': 0.019779504726195975}. Best is trial 16 with value: 0.0003912288072136089.\n[I 2023-11-01 05:28:27,065] Trial 17 finished with value: 0.0064446258844349305 and parameters: {'x': 0.08027842726682512}. Best is trial 16 with value: 0.0003912288072136089.\n[I 2023-11-01 05:28:27,066] Trial 18 finished with value: 0.0006611867609524678 and parameters: {'x': 0.025713552087420124}. Best is trial 16 with value: 0.0003912288072136089.\n[I 2023-11-01 05:28:27,080] Trial 19 finished with value: 3.360066650607707e-07 and parameters: {'x': 0.000579660818980178}. Best is trial 19 with value: 3.360066650607707e-07.\n[I 2023-11-01 05:28:27,086] Trial 20 finished with value: 0.0028072064065485488 and parameters: {'x': 0.05298307660516279}. Best is trial 19 with value: 3.360066650607707e-07.\n[I 2023-11-01 05:28:27,107] Trial 21 finished with value: 0.04188065487647501 and parameters: {'x': 0.2046476358927095}. Best is trial 19 with value: 3.360066650607707e-07.\n[I 2023-11-01 05:28:27,114] Trial 22 finished with value: 0.034871164381552376 and parameters: {'x': 0.18673822421119993}. Best is trial 19 with value: 3.360066650607707e-07.\n[I 2023-11-01 05:28:27,120] Trial 24 finished with value: 1.9455270342588514e-07 and parameters: {'x': 0.0004410812889092952}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,132] Trial 23 finished with value: 0.03413748776444338 and parameters: {'x': 0.18476332905759027}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,154] Trial 25 finished with value: 0.07753575931023415 and parameters: {'x': 0.27845243635176575}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,165] Trial 27 finished with value: 4.597206650149628e-07 and parameters: {'x': 0.0006780270385574331}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,172] Trial 26 finished with value: 0.10309465613635696 and parameters: {'x': 0.3210835656590928}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,183] Trial 28 finished with value: 0.011415894404504787 and parameters: {'x': 0.10684518896283907}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,190] Trial 29 finished with value: 0.009964153025384823 and parameters: {'x': 0.09982060421268157}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,204] Trial 30 finished with value: 0.017954567289168513 and parameters: {'x': 0.1339946539574192}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,211] Trial 31 finished with value: 0.019134924319512223 and parameters: {'x': 0.13832904365863383}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,219] Trial 33 finished with value: 0.00010107312293809022 and parameters: {'x': 0.010053512965033179}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,225] Trial 32 finished with value: 0.017195302134271635 and parameters: {'x': 0.1311308588177155}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,232] Trial 34 finished with value: 7.373605696000822e-05 and parameters: {'x': 0.008586970185112338}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,233] Trial 35 finished with value: 2.155401771425214e-06 and parameters: {'x': 0.0014681286631032084}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,248] Trial 37 finished with value: 2.4466887595101932e-05 and parameters: {'x': 0.004946401479368808}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,248] Trial 36 finished with value: 4.971382088600311e-05 and parameters: {'x': 0.0070508028540020255}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,268] Trial 38 finished with value: 0.005793629464194366 and parameters: {'x': 0.07611589495101773}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,270] Trial 39 finished with value: 0.007741358471979102 and parameters: {'x': 0.08798499003795535}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,308] Trial 41 finished with value: 0.058911309516360755 and parameters: {'x': 0.24271652089703485}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,309] Trial 40 finished with value: 0.06462248908090984 and parameters: {'x': 0.25420953774575383}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,339] Trial 42 finished with value: 0.02529648104228706 and parameters: {'x': 0.15904867507240372}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,341] Trial 43 finished with value: 0.026486938428839608 and parameters: {'x': 0.16274808271939675}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,358] Trial 44 finished with value: 0.00419242826021767 and parameters: {'x': 0.0647489633910665}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,358] Trial 45 finished with value: 0.004096609895858084 and parameters: {'x': 0.06400476463403396}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,371] Trial 46 finished with value: 4.3391678344985887e-07 and parameters: {'x': 0.0006587236017100487}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,373] Trial 47 finished with value: 0.0001380907165364237 and parameters: {'x': 0.011751200642335391}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,391] Trial 48 finished with value: 0.0026926276787657723 and parameters: {'x': 0.0518905355413275}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,397] Trial 49 finished with value: 0.014389787777299384 and parameters: {'x': 0.11995744152531507}. Best is trial 24 with value: 1.9455270342588514e-07.\n\u001b[2Kreading sources... [ 82%] reference/visualization/generated/optuna.visualization.matplotlib.plot_timeline\n<string>:21: ExperimentalWarning:\n\nplot_timeline is experimental (supported from v3.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:28:27,858] A new study created in memory with name: no-name-9473f68a-8282-4fcb-b66e-f971d6450b0c\n[I 2023-11-01 05:28:27,859] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:28:27,860] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,861] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,862] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,863] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,863] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,864] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,865] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,866] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,867] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,874] Trial 10 finished with value: 734.0822030665411 and parameters: {'x': -27.075490818571343, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,881] Trial 11 finished with value: 73.65352512080509 and parameters: {'x': 8.523703720848413, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,887] Trial 12 finished with value: 772.5301395134916 and parameters: {'x': -27.776431367500965, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,894] Trial 13 finished with value: 144.99637750321006 and parameters: {'x': 11.999849061684486, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,900] Trial 14 finished with value: 58.008999214248114 and parameters: {'x': -7.550430399271827, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,907] Trial 15 finished with value: 1813.5559443721502 and parameters: {'x': -42.574122943076, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,914] Trial 16 finished with value: 99.03717560874351 and parameters: {'x': -10.001858607716043, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,921] Trial 17 finished with value: 9671.11610067409 and parameters: {'x': 98.33674847519664, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,927] Trial 18 finished with value: 731.8040203733691 and parameters: {'x': 27.03338714207617, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,934] Trial 19 finished with value: 1940.8126679916945 and parameters: {'x': -44.06600354004995, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,941] Trial 20 finished with value: 22.671858597340137 and parameters: {'x': -4.6553043506671115, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,947] Trial 21 finished with value: 36.2737132672693 and parameters: {'x': -5.939167725133657, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,954] Trial 22 finished with value: 467.498830386074 and parameters: {'x': 21.598583990300707, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,960] Trial 23 finished with value: 57.683827568626214 and parameters: {'x': -7.5288662870731216, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,967] Trial 24 finished with value: 14.559465794510222 and parameters: {'x': 3.6823179920411846, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,974] Trial 25 finished with value: 1454.2889615335619 and parameters: {'x': 38.1220272484762, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,980] Trial 26 finished with value: 210.54412862953976 and parameters: {'x': 14.475639144077189, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,987] Trial 27 finished with value: 3133.9754124740953 and parameters: {'x': 55.97298823963301, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,994] Trial 28 finished with value: 583.7660288159207 and parameters: {'x': -24.181936002229445, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:28,001] Trial 29 finished with value: 31.445003865150788 and parameters: {'x': 5.607584494695625, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 82%] reference/visualization/generated/optuna.visualization.plot_contour\n[I 2023-11-01 05:28:28,236] A new study created in memory with name: x=[0,5), y=[0,5)\n[I 2023-11-01 05:28:28,237] Trial 0 finished with value: 9.098775784310966 and parameters: {'x': 3.85660321633373, 'y': 0.1037597467970075}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:28:28,238] Trial 1 finished with value: 11.468279264943558 and parameters: {'x': 3.168241174631377, 'y': 3.744019412693059}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:28:28,238] Trial 2 finished with value: 8.26591744896594 and parameters: {'x': 2.4925350615129522, 'y': 1.1239832276542383}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:28:28,239] Trial 3 finished with value: 9.307353958700034 and parameters: {'x': 0.9903143237981199, 'y': 3.8026535609947936}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:28:28,240] Trial 4 finished with value: 4.4107752374673055 and parameters: {'x': 0.8455541828126772, 'y': 0.44169907087005134}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,241] Trial 5 finished with value: 13.32581053856714 and parameters: {'x': 3.426799091838986, 'y': 4.766966730974683}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,242] Trial 6 finished with value: 7.762294992698612 and parameters: {'x': 0.019741331639572257, 'y': 2.560961316928883}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,243] Trial 7 finished with value: 10.462168809225723 and parameters: {'x': 4.063104808260568, 'y': 3.0626303341469407}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,244] Trial 8 finished with value: 10.766844213449511 and parameters: {'x': 3.6087765871589976, 'y': 1.4593803408531658}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,245] Trial 9 finished with value: 13.513529451283143 and parameters: {'x': 4.588870612564717, 'y': 3.572878916988453}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,246] Trial 10 finished with value: 8.477722801529927 and parameters: {'x': 2.7127218400563065, 'y': 0.7108502380076348}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,247] Trial 11 finished with value: 10.129432776476957 and parameters: {'x': 1.866703800257346, 'y': 3.3706680753317264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,248] Trial 12 finished with value: 8.366790606869595 and parameters: {'x': 2.2091658721149803, 'y': 2.1700699666664685}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,249] Trial 13 finished with value: 10.416955768145217 and parameters: {'x': 3.088834892346586, 'y': 2.5656912127719544}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,250] Trial 14 finished with value: 10.387909622465159 and parameters: {'x': 3.251985909657336, 'y': 3.005194767022722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,251] Trial 15 finished with value: 11.459718019586177 and parameters: {'x': 4.026115984163733, 'y': 2.608235761968171}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,251] Trial 16 finished with value: 12.18680554317172 and parameters: {'x': 4.5432444040433415, 'y': 1.5961804449427264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,252] Trial 17 finished with value: 6.324395711691771 and parameters: {'x': 0.45229674635453687, 'y': 1.5035002831810167}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,253] Trial 18 finished with value: 10.780656392800164 and parameters: {'x': 0.5699218093177488, 'y': 4.143406631538383}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,254] Trial 19 finished with value: 8.416640220838426 and parameters: {'x': 0.23448159694624882, 'y': 3.1314357415569627}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,255] Trial 20 finished with value: 11.302576421368904 and parameters: {'x': 2.737930779596218, 'y': 4.096434978350343}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,256] Trial 21 finished with value: 10.499563087675314 and parameters: {'x': 0.9947376983940615, 'y': 4.284251512288666}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,257] Trial 22 finished with value: 10.513666838860214 and parameters: {'x': 1.7582631971604394, 'y': 3.773238457649286}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,258] Trial 23 finished with value: 11.97926994777533 and parameters: {'x': 1.4798085343983935, 'y': 4.419682397805931}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,258] Trial 24 finished with value: 6.380894606936472 and parameters: {'x': 1.627558189161244, 'y': 0.8250794885957424}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,259] Trial 25 finished with value: 6.685983992257508 and parameters: {'x': 1.9626462197329364, 'y': 0.4673018727932515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,260] Trial 26 finished with value: 10.125719905741311 and parameters: {'x': 4.105528289184642, 'y': 0.7557600982128193}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,261] Trial 27 finished with value: 11.573099481049313 and parameters: {'x': 1.920572243460998, 'y': 4.721303561194006}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,262] Trial 28 finished with value: 12.011941244892594 and parameters: {'x': 4.938127374509361, 'y': 2.2815227354739203}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,263] Trial 29 finished with value: 10.481651724828257 and parameters: {'x': 4.130614219213699, 'y': 1.2568706710352968}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,264] Trial 30 finished with value: 12.415913516504961 and parameters: {'x': 2.9868582411544216, 'y': 4.514158801658137}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,265] Trial 31 finished with value: 10.053592439013652 and parameters: {'x': 2.6727897440090755, 'y': 2.9510068149271147}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,266] Trial 32 finished with value: 5.886579856572837 and parameters: {'x': 0.19640883612693671, 'y': 1.7859087931726814}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,267] Trial 33 finished with value: 6.310127074999574 and parameters: {'x': 0.3980654507798209, 'y': 1.5272995917140912}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,267] Trial 34 finished with value: 10.63044720131769 and parameters: {'x': 1.65359655991066, 'y': 3.8691514810529792}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,268] Trial 35 finished with value: 6.399093285230432 and parameters: {'x': 0.19979604344988633, 'y': 2.1474608921581915}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,269] Trial 36 finished with value: 9.82714713251584 and parameters: {'x': 1.5746343592134415, 'y': 3.1824557153377233}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,270] Trial 37 finished with value: 6.040622694875182 and parameters: {'x': 1.7317357504001651, 'y': 0.2154867810249722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,271] Trial 38 finished with value: 13.124359919044599 and parameters: {'x': 4.39957587258958, 'y': 3.816202935718405}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,271] Trial 39 finished with value: 11.621017540390913 and parameters: {'x': 4.390483213624291, 'y': 2.087545719196335}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,272] Trial 40 finished with value: 10.273148823731859 and parameters: {'x': 3.027887821968784, 'y': 2.567333137041442}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,273] Trial 41 finished with value: 8.74724695064551 and parameters: {'x': 2.989183239814868, 'y': 1.3110783056597515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,274] Trial 42 finished with value: 5.703235939620228 and parameters: {'x': 1.504356544703536, 'y': 0.12699891025053034}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,275] Trial 43 finished with value: 6.8281049033658086 and parameters: {'x': 1.5153128032551737, 'y': 1.2103793770176368}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,276] Trial 44 finished with value: 9.889991012666522 and parameters: {'x': 2.787890943313221, 'y': 2.827535099440838}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,277] Trial 45 finished with value: 8.809099112861492 and parameters: {'x': 2.375661237075253, 'y': 1.4639898814475454}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,277] Trial 46 finished with value: 11.529514400367189 and parameters: {'x': 0.32125530347412223, 'y': 4.894095728788213}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,278] Trial 47 finished with value: 9.116346691166768 and parameters: {'x': 1.6985392181893184, 'y': 2.4752431544122717}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,279] Trial 48 finished with value: 11.665729583461987 and parameters: {'x': 4.885403629613409, 'y': 2.2038691245033326}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,280] Trial 49 finished with value: 9.283138260008634 and parameters: {'x': 1.591364027394756, 'y': 2.5989849293769005}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,281] Trial 50 finished with value: 11.688309982114646 and parameters: {'x': 2.8906821494123376, 'y': 4.269668752502432}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,282] Trial 51 finished with value: 7.7554312065139825 and parameters: {'x': 0.34048636768975016, 'y': 2.3226540388966628}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,283] Trial 52 finished with value: 12.275135396487016 and parameters: {'x': 3.909745593095742, 'y': 3.5930140519112514}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,283] Trial 53 finished with value: 7.599136984880452 and parameters: {'x': 2.9301099002658795, 'y': 0.18547206617203937}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,284] Trial 54 finished with value: 8.971518754151079 and parameters: {'x': 1.7532819564156648, 'y': 2.815953422463725}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,285] Trial 55 finished with value: 9.191843219831416 and parameters: {'x': 1.4986493621228143, 'y': 2.5616707663677465}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,286] Trial 56 finished with value: 9.633721562166217 and parameters: {'x': 3.3673346264236024, 'y': 0.7959686668904675}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,287] Trial 57 finished with value: 6.186229741277476 and parameters: {'x': 0.2523883507699881, 'y': 1.6890794353233973}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,288] Trial 58 finished with value: 4.552022343284264 and parameters: {'x': 0.5403188638972628, 'y': 0.8945140428554521}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,289] Trial 59 finished with value: 11.758020264004587 and parameters: {'x': 4.429135480838529, 'y': 1.826824856070579}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,290] Trial 60 finished with value: 9.65103717665648 and parameters: {'x': 1.0938467458976837, 'y': 3.762480851093014}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,291] Trial 61 finished with value: 10.404668371552354 and parameters: {'x': 0.5343979219678457, 'y': 3.723016203877803}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,292] Trial 62 finished with value: 9.807137735649274 and parameters: {'x': 2.3489264672024723, 'y': 2.991278356395546}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,293] Trial 63 finished with value: 4.297890789772584 and parameters: {'x': 0.7381009614264883, 'y': 0.9201741104657563}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,293] Trial 64 finished with value: 8.956435845330386 and parameters: {'x': 3.2253606323412094, 'y': 0.24314003131702788}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,294] Trial 65 finished with value: 8.694250835326496 and parameters: {'x': 1.2430625390138472, 'y': 2.7120425811400213}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,295] Trial 66 finished with value: 5.986545159935034 and parameters: {'x': 1.133866716350046, 'y': 1.9070576745231604}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,296] Trial 67 finished with value: 14.297386483409563 and parameters: {'x': 4.611163934517731, 'y': 4.626784364338884}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,297] Trial 68 finished with value: 10.180452207698272 and parameters: {'x': 2.8337496228749997, 'y': 2.667354424945013}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,298] Trial 69 finished with value: 10.407363938709986 and parameters: {'x': 0.07430012316614054, 'y': 4.889496317010025}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,299] Trial 70 finished with value: 10.440149099446987 and parameters: {'x': 2.8651445201659294, 'y': 3.95878498138312}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,299] Trial 71 finished with value: 12.32523091547919 and parameters: {'x': 2.8077868013818446, 'y': 4.3866762078246735}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,300] Trial 72 finished with value: 11.31269157398866 and parameters: {'x': 2.9209791426533775, 'y': 3.544249131844776}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,301] Trial 73 finished with value: 6.868040784289896 and parameters: {'x': 0.7426672567822928, 'y': 2.142253694839482}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,302] Trial 74 finished with value: 10.168253595722678 and parameters: {'x': 3.4694503317120584, 'y': 0.5230987226142658}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,303] Trial 75 finished with value: 6.875279830510534 and parameters: {'x': 2.1980261888729524, 'y': 0.8310107385226684}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,304] Trial 76 finished with value: 11.669355532080532 and parameters: {'x': 2.5348931463202367, 'y': 4.095179320681063}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,305] Trial 77 finished with value: 10.375729066395554 and parameters: {'x': 0.45053367362219265, 'y': 4.000343753470726}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,305] Trial 78 finished with value: 9.47494195262567 and parameters: {'x': 2.8256317697890228, 'y': 2.946738558403037}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,306] Trial 79 finished with value: 6.429800222532773 and parameters: {'x': 0.9905032860813445, 'y': 2.1805912766941713}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,307] Trial 80 finished with value: 5.784554009886445 and parameters: {'x': 1.4795188111041868, 'y': 0.18778837970838846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,308] Trial 81 finished with value: 6.944951718546044 and parameters: {'x': 0.15342420186473138, 'y': 2.2655250010061674}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,309] Trial 82 finished with value: 11.32465496841092 and parameters: {'x': 3.7243203847503388, 'y': 2.7864770311819846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,310] Trial 83 finished with value: 5.814616800694608 and parameters: {'x': 1.9255679978274327, 'y': 0.8403639876630931}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,311] Trial 84 finished with value: 11.092120639966868 and parameters: {'x': 4.1913066035184645, 'y': 2.995258987307463}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,311] Trial 85 finished with value: 12.30613781768253 and parameters: {'x': 3.9135740912248558, 'y': 4.242545909473573}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,312] Trial 86 finished with value: 10.276422024397286 and parameters: {'x': 3.0158148793101742, 'y': 3.9053030864514104}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,313] Trial 87 finished with value: 7.479769890494953 and parameters: {'x': 3.0786843801678465, 'y': 0.10582595586077492}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,314] Trial 88 finished with value: 9.671206282931806 and parameters: {'x': 3.752323052437455, 'y': 0.8802106664184695}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,315] Trial 89 finished with value: 9.869658626214864 and parameters: {'x': 2.292571031186365, 'y': 2.5656135386612258}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,316] Trial 90 finished with value: 11.964499715377078 and parameters: {'x': 2.420104451434129, 'y': 4.2219289726967375}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,317] Trial 91 finished with value: 2.826913907516392 and parameters: {'x': 0.874069474110597, 'y': 0.0731743755162495}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,317] Trial 92 finished with value: 12.799381162755227 and parameters: {'x': 4.24382035905616, 'y': 3.7133728864971705}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,318] Trial 93 finished with value: 8.415639605279267 and parameters: {'x': 2.283487676600861, 'y': 2.084492035246889}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,319] Trial 94 finished with value: 6.648507949382903 and parameters: {'x': 0.5836475547348163, 'y': 1.6933956649466986}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,320] Trial 95 finished with value: 10.321671031403987 and parameters: {'x': 0.4732952037182653, 'y': 3.579154363756571}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,321] Trial 96 finished with value: 4.476198346748607 and parameters: {'x': 0.3854270220801931, 'y': 1.0297512918448626}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,321] Trial 97 finished with value: 9.179908484929722 and parameters: {'x': 2.868881157256011, 'y': 1.4691577760188401}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,322] Trial 98 finished with value: 11.609756716580515 and parameters: {'x': 3.278633713572991, 'y': 4.017841738716098}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,323] Trial 99 finished with value: 6.625902168595072 and parameters: {'x': 1.7560675149820437, 'y': 0.4672018847188353}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,324] Trial 100 finished with value: 11.261545077172835 and parameters: {'x': 4.066580418354021, 'y': 3.9243335913847344}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,325] Trial 101 finished with value: 11.190968700537157 and parameters: {'x': 1.967095562182577, 'y': 4.322395969009766}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,326] Trial 102 finished with value: 6.911109890757974 and parameters: {'x': 1.9201538405786622, 'y': 1.2865144360250191}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,326] Trial 103 finished with value: 12.490683781539499 and parameters: {'x': 4.1470095991361795, 'y': 3.681913519192817}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,327] Trial 104 finished with value: 10.848166908046393 and parameters: {'x': 2.538004540274797, 'y': 3.2216330752070848}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,328] Trial 105 finished with value: 11.32542096737529 and parameters: {'x': 1.0659328268932406, 'y': 4.478544743517791}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,329] Trial 106 finished with value: 12.145433872665942 and parameters: {'x': 4.829731257539075, 'y': 1.5850078115289405}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,330] Trial 107 finished with value: 11.786981252421768 and parameters: {'x': 4.327763091136416, 'y': 1.5514185347005949}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,331] Trial 108 finished with value: 2.0472944535777273 and parameters: {'x': 0.12631972715908546, 'y': 0.24597578886864313}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,331] Trial 109 finished with value: 4.145224959722373 and parameters: {'x': 0.9231341900713275, 'y': 0.34516670808627026}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,332] Trial 110 finished with value: 11.931360118539573 and parameters: {'x': 1.2873771170227155, 'y': 4.567908657853373}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,334] Trial 111 finished with value: 7.772705651810355 and parameters: {'x': 2.2892475598720523, 'y': 0.6510589473979744}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,335] Trial 112 finished with value: 9.524332905886311 and parameters: {'x': 4.0494583270008935, 'y': 2.01734920240333}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,336] Trial 113 finished with value: 10.520695532088595 and parameters: {'x': 0.12216322491582055, 'y': 4.284155213138763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,337] Trial 114 finished with value: 10.597438973670814 and parameters: {'x': 1.371474095076981, 'y': 3.5455298203599526}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,338] Trial 115 finished with value: 10.120097947889937 and parameters: {'x': 1.7788617141183165, 'y': 3.971545309132671}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,338] Trial 116 finished with value: 11.960450407585382 and parameters: {'x': 4.223094305719252, 'y': 2.690737585699792}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,339] Trial 117 finished with value: 8.587748682117635 and parameters: {'x': 2.795432582016292, 'y': 0.6125499071870993}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,340] Trial 118 finished with value: 7.369283296210424 and parameters: {'x': 1.8882095928704012, 'y': 2.1437366456452134}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,341] Trial 119 finished with value: 12.663827787679372 and parameters: {'x': 2.556043231427327, 'y': 4.458812849678472}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,342] Trial 120 finished with value: 7.650631541913702 and parameters: {'x': 1.5010530579700654, 'y': 1.9822093943922525}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,343] Trial 121 finished with value: 9.498157519309544 and parameters: {'x': 3.9663661651380706, 'y': 2.061380386767003}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,343] Trial 122 finished with value: 10.019682178888301 and parameters: {'x': 0.9243377499545619, 'y': 4.201236580441953}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,344] Trial 123 finished with value: 8.237633967855434 and parameters: {'x': 2.8463569985064425, 'y': 0.3002510277540982}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,345] Trial 124 finished with value: 10.781591638486919 and parameters: {'x': 4.944584870981005, 'y': 1.1439116660098265}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,346] Trial 125 finished with value: 8.621572297432854 and parameters: {'x': 3.0735085649008482, 'y': 1.8401334041772972}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,347] Trial 126 finished with value: 10.713009182969788 and parameters: {'x': 4.013879681741232, 'y': 3.1378092635281445}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,348] Trial 127 finished with value: 10.98074403397134 and parameters: {'x': 4.106082380991301, 'y': 1.441265693961082}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,348] Trial 128 finished with value: 9.024647633357716 and parameters: {'x': 1.3739756579638436, 'y': 3.00525945566255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,349] Trial 129 finished with value: 13.49082379516863 and parameters: {'x': 4.692570986046688, 'y': 3.5364815467071864}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,350] Trial 130 finished with value: 5.874821960577492 and parameters: {'x': 1.3170158247837875, 'y': 0.6116796055750251}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,351] Trial 131 finished with value: 12.140532436293423 and parameters: {'x': 2.2936211459493183, 'y': 4.8740624969833455}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,352] Trial 132 finished with value: 9.508596165882706 and parameters: {'x': 3.4028718722222235, 'y': 0.9662686614323052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,352] Trial 133 finished with value: 11.43232227635066 and parameters: {'x': 0.233696135806975, 'y': 4.763219683853119}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,353] Trial 134 finished with value: 12.909468873966272 and parameters: {'x': 4.2932450773421325, 'y': 4.139515878742856}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,354] Trial 135 finished with value: 11.717204018330282 and parameters: {'x': 4.819502614191414, 'y': 2.994682245363374}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,355] Trial 136 finished with value: 11.730163602366163 and parameters: {'x': 4.654579179238757, 'y': 0.733844071393634}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,356] Trial 137 finished with value: 6.653881018965677 and parameters: {'x': 0.569801543773461, 'y': 1.8601445108691723}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,357] Trial 138 finished with value: 10.741151207828954 and parameters: {'x': 3.832800632854534, 'y': 1.6057101573247974}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,357] Trial 139 finished with value: 8.041035108445248 and parameters: {'x': 3.1901754067231334, 'y': 0.04610550834939442}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,358] Trial 140 finished with value: 9.248413466368948 and parameters: {'x': 2.71732519237458, 'y': 1.6887732344259176}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,359] Trial 141 finished with value: 14.219077219048492 and parameters: {'x': 4.490121544247577, 'y': 4.703535192416116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,360] Trial 142 finished with value: 6.631265309603911 and parameters: {'x': 1.920609245767847, 'y': 1.9805889617029848}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,361] Trial 143 finished with value: 11.598473392731933 and parameters: {'x': 4.48639972409674, 'y': 0.2941118405092352}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,361] Trial 144 finished with value: 6.694767599306697 and parameters: {'x': 2.0268964421478453, 'y': 0.6508777031545621}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,362] Trial 145 finished with value: 10.288922686627453 and parameters: {'x': 0.4348470446230879, 'y': 3.919821434794939}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,363] Trial 146 finished with value: 9.21998684759554 and parameters: {'x': 1.5228667767331006, 'y': 2.9202793627763453}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,364] Trial 147 finished with value: 13.970932382384035 and parameters: {'x': 4.392330892133315, 'y': 4.403960303067703}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,365] Trial 148 finished with value: 10.220646476518713 and parameters: {'x': 3.004771036228382, 'y': 3.2261387284201657}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,366] Trial 149 finished with value: 6.025594798063533 and parameters: {'x': 0.28314101419053106, 'y': 1.487420484879609}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,366] Trial 150 finished with value: 9.686112989082387 and parameters: {'x': 3.458873037882333, 'y': 0.9451472642781766}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,367] Trial 151 finished with value: 11.477795880312842 and parameters: {'x': 4.015037683584489, 'y': 2.5738187492835642}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,368] Trial 152 finished with value: 9.536662274540596 and parameters: {'x': 3.7864302015780735, 'y': 0.8889437430854896}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,369] Trial 153 finished with value: 8.138475011363663 and parameters: {'x': 0.41310145647746377, 'y': 2.4103598486142923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,370] Trial 154 finished with value: 11.493703576527055 and parameters: {'x': 2.6442693968106306, 'y': 3.481541359044985}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,371] Trial 155 finished with value: 9.341702473870399 and parameters: {'x': 1.023808070150981, 'y': 3.356861649786817}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,371] Trial 156 finished with value: 9.45980967724605 and parameters: {'x': 3.966346626632103, 'y': 0.20868906258480535}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,372] Trial 157 finished with value: 13.378541634779003 and parameters: {'x': 4.816787528607454, 'y': 4.876963585866664}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,373] Trial 158 finished with value: 8.398878019226897 and parameters: {'x': 2.7533039211090755, 'y': 0.3245349120330482}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,374] Trial 159 finished with value: 5.671727248950585 and parameters: {'x': 1.7261839493092874, 'y': 0.1021498440574764}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,375] Trial 160 finished with value: 8.900670733919403 and parameters: {'x': 4.0042590489180805, 'y': 1.039635490660757}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,376] Trial 161 finished with value: 10.104130916382784 and parameters: {'x': 0.7162625545259099, 'y': 3.4994699226462638}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,376] Trial 162 finished with value: 5.315897263639183 and parameters: {'x': 0.28974903005027364, 'y': 1.2830378342449826}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,377] Trial 163 finished with value: 12.628574431426383 and parameters: {'x': 2.551658922744225, 'y': 4.97629392410128}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,378] Trial 164 finished with value: 7.447601498443641 and parameters: {'x': 0.7325783965840083, 'y': 2.247573887993382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,379] Trial 165 finished with value: 8.717294962338975 and parameters: {'x': 3.007201880914031, 'y': 0.48636247069940075}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,380] Trial 166 finished with value: 10.747736503597993 and parameters: {'x': 1.4436744027098762, 'y': 3.603999509537035}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,380] Trial 167 finished with value: 11.672696062044226 and parameters: {'x': 2.754030320204744, 'y': 4.192885075269436}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,381] Trial 168 finished with value: 7.3765020440620965 and parameters: {'x': 2.901656757339883, 'y': 0.9228586830481306}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,382] Trial 169 finished with value: 12.413208648223295 and parameters: {'x': 3.077510585292704, 'y': 4.434775442343052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,383] Trial 170 finished with value: 10.541150607138487 and parameters: {'x': 2.5839463891022096, 'y': 3.130718345632117}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,384] Trial 171 finished with value: 12.756318698680404 and parameters: {'x': 2.525295587782306, 'y': 4.5483128829327715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,385] Trial 172 finished with value: 9.05472987128604 and parameters: {'x': 2.0665232778228515, 'y': 2.677343581458615}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,385] Trial 173 finished with value: 6.621158640130886 and parameters: {'x': 1.713215627822633, 'y': 0.6478838857163005}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,386] Trial 174 finished with value: 13.166998514264037 and parameters: {'x': 3.3141087569999437, 'y': 4.678350009978248}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,387] Trial 175 finished with value: 11.37039215348121 and parameters: {'x': 3.06364590964527, 'y': 4.213692497248822}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,388] Trial 176 finished with value: 11.421697035283117 and parameters: {'x': 1.0895421810142136, 'y': 4.515858698649607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,389] Trial 177 finished with value: 3.399518378372946 and parameters: {'x': 0.04884988559842873, 'y': 1.1290636333171737}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,389] Trial 178 finished with value: 11.790711998551938 and parameters: {'x': 0.6602756363599344, 'y': 4.537714732580255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,390] Trial 179 finished with value: 12.457058855171512 and parameters: {'x': 4.5511531832988155, 'y': 2.9052895356745245}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,391] Trial 180 finished with value: 4.270689977380076 and parameters: {'x': 0.4374652626195269, 'y': 0.5843971978719908}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,392] Trial 181 finished with value: 12.240165558984787 and parameters: {'x': 3.8553562765392724, 'y': 3.6639763439826103}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,393] Trial 182 finished with value: 6.590515277343432 and parameters: {'x': 0.435641784662561, 'y': 1.7873159905994234}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,394] Trial 183 finished with value: 10.17214430542262 and parameters: {'x': 3.8660581087613077, 'y': 0.6573580080587804}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,395] Trial 184 finished with value: 11.43917166431362 and parameters: {'x': 2.68916216926987, 'y': 3.7736178311347457}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,395] Trial 185 finished with value: 8.969937960798413 and parameters: {'x': 1.3626308799556757, 'y': 2.8325849795366413}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,396] Trial 186 finished with value: 10.041893106125363 and parameters: {'x': 2.3834248535833096, 'y': 2.7831034627091973}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,397] Trial 187 finished with value: 10.826547273250752 and parameters: {'x': 2.2036852870690056, 'y': 3.4686868213095585}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,398] Trial 188 finished with value: 12.426924191010318 and parameters: {'x': 3.5911859015982364, 'y': 3.7819117894779923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,399] Trial 189 finished with value: 9.532608489210268 and parameters: {'x': 0.18661004505669543, 'y': 3.394176984464907}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,400] Trial 190 finished with value: 8.135150111944762 and parameters: {'x': 2.386104004539672, 'y': 0.5008569383546607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,401] Trial 191 finished with value: 11.234871968202231 and parameters: {'x': 3.070981168573452, 'y': 4.18957254483098}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,401] Trial 192 finished with value: 10.837341646724049 and parameters: {'x': 3.6694701882941674, 'y': 1.6078279135595364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,402] Trial 193 finished with value: 2.853729868628715 and parameters: {'x': 0.33927655543450175, 'y': 0.1866511853213626}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,403] Trial 194 finished with value: 8.102320702453188 and parameters: {'x': 2.7956265198024104, 'y': 0.8042634963427392}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,404] Trial 195 finished with value: 6.2265106786220485 and parameters: {'x': 1.3394409285104592, 'y': 1.1785597821799847}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,405] Trial 196 finished with value: 3.2200767735665927 and parameters: {'x': 0.0967373080891365, 'y': 0.7584321219748957}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,406] Trial 197 finished with value: 10.792978685682154 and parameters: {'x': 0.1695125656628088, 'y': 4.909174290439391}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,407] Trial 198 finished with value: 10.474479619963939 and parameters: {'x': 1.8024265507702935, 'y': 4.127322642810085}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,407] Trial 199 finished with value: 7.000149994893448 and parameters: {'x': 2.0611870425872763, 'y': 1.2658957315496995}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,408] Trial 200 finished with value: 9.720250252035754 and parameters: {'x': 1.1835543824008021, 'y': 3.865577996383569}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,409] Trial 201 finished with value: 12.227465780083314 and parameters: {'x': 3.3562845256281584, 'y': 3.531654426003335}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,410] Trial 202 finished with value: 12.210582618377428 and parameters: {'x': 4.265777065952011, 'y': 2.6102478341800395}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,411] Trial 203 finished with value: 9.417005707712555 and parameters: {'x': 2.2138482666072563, 'y': 2.7687422062775187}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,411] Trial 204 finished with value: 11.469682332813566 and parameters: {'x': 3.25997424203055, 'y': 3.942769372376201}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,412] Trial 205 finished with value: 12.079734998646657 and parameters: {'x': 4.461347258463439, 'y': 1.5455257933952686}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,413] Trial 206 finished with value: 10.242782580711673 and parameters: {'x': 0.6780488613353464, 'y': 3.7546332592209364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,414] Trial 207 finished with value: 11.349746970151045 and parameters: {'x': 2.634166107685379, 'y': 3.9236929038023707}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,415] Trial 208 finished with value: 10.85409333443086 and parameters: {'x': 2.1496305142828613, 'y': 4.19423293806763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,416] Trial 209 finished with value: 8.748226607352638 and parameters: {'x': 2.6867701271181477, 'y': 1.2521196657508715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,416] Trial 210 finished with value: 3.6675219100206 and parameters: {'x': 0.2944700572038689, 'y': 0.4597464245382382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,417] Trial 211 finished with value: 6.733554910774435 and parameters: {'x': 0.8709997157072319, 'y': 2.1962717529913767}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,418] Trial 212 finished with value: 13.275572772621532 and parameters: {'x': 4.054671125375529, 'y': 4.552010618031673}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,419] Trial 213 finished with value: 9.156372510625387 and parameters: {'x': 2.8804535600599386, 'y': 1.455772148901746}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,420] Trial 214 finished with value: 11.053685497303166 and parameters: {'x': 3.258931858906078, 'y': 3.1896035037778403}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,420] Trial 215 finished with value: 12.688867058298401 and parameters: {'x': 2.5178736985866528, 'y': 4.827763578108981}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,421] Trial 216 finished with value: 13.143915044023823 and parameters: {'x': 4.033455748052451, 'y': 4.642596782018086}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,422] Trial 217 finished with value: 11.501118854064435 and parameters: {'x': 3.0696756333221895, 'y': 4.910019581715506}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,423] Trial 218 finished with value: 9.618849650879131 and parameters: {'x': 3.574939779226631, 'y': 0.043296357086455295}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,424] Trial 219 finished with value: 11.337201623088333 and parameters: {'x': 1.4407279049690558, 'y': 4.206993287509106}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,425] Trial 220 finished with value: 6.882791405849485 and parameters: {'x': 2.215885435136737, 'y': 0.8652486173830182}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,426] Trial 221 finished with value: 10.356085023005411 and parameters: {'x': 0.5726355611313177, 'y': 3.9894029801061537}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,426] Trial 222 finished with value: 10.902930543766338 and parameters: {'x': 3.244525757228069, 'y': 2.50872999073498}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,427] Trial 223 finished with value: 9.72674798257857 and parameters: {'x': 1.428201041160826, 'y': 3.1834791424269584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,428] Trial 224 finished with value: 8.999635175804276 and parameters: {'x': 1.8417095266511174, 'y': 2.6976927167612597}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,429] Trial 225 finished with value: 12.342284304379254 and parameters: {'x': 3.810334009899379, 'y': 4.199437405771903}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,430] Trial 226 finished with value: 8.504027200451612 and parameters: {'x': 0.5247870601084398, 'y': 2.553156541729579}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,431] Trial 227 finished with value: 9.080756473737205 and parameters: {'x': 3.2274433137208787, 'y': 0.7653340712632956}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,431] Trial 228 finished with value: 10.498147057144351 and parameters: {'x': 0.008798245521798864, 'y': 4.8352287661502515}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,432] Trial 229 finished with value: 10.625090716792682 and parameters: {'x': 4.039332666325461, 'y': 1.3703379468173575}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,433] Trial 230 finished with value: 6.1355422884542605 and parameters: {'x': 1.3954480353606296, 'y': 0.6033982071098909}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,435] Trial 231 finished with value: 12.682917751678975 and parameters: {'x': 2.403441324954285, 'y': 4.661509893812813}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,436] Trial 232 finished with value: 11.774995548643213 and parameters: {'x': 4.574637128841343, 'y': 1.219375479879055}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,437] Trial 233 finished with value: 10.978375842604487 and parameters: {'x': 1.9742914820793693, 'y': 4.851197651132945}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,438] Trial 234 finished with value: 12.119938844650308 and parameters: {'x': 1.378098168018807, 'y': 4.6892472043320685}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,439] Trial 235 finished with value: 13.137380053631484 and parameters: {'x': 3.845060785117532, 'y': 4.423593440530303}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,440] Trial 236 finished with value: 11.31174382971022 and parameters: {'x': 4.355024876220002, 'y': 0.7323547961340754}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,441] Trial 237 finished with value: 13.188985764251004 and parameters: {'x': 3.9459439396258817, 'y': 4.546111228357549}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,441] Trial 238 finished with value: 12.775291947108045 and parameters: {'x': 4.190852742653525, 'y': 3.5601559319358116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,442] Trial 239 finished with value: 7.707597241407441 and parameters: {'x': 1.536897092687322, 'y': 1.7689227738549467}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,443] Trial 240 finished with value: 5.22672624314151 and parameters: {'x': 1.1817669761188916, 'y': 0.4490581953161277}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,444] Trial 241 finished with value: 7.510297578894374 and parameters: {'x': 0.9723908716101909, 'y': 3.079039376835584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,445] Trial 242 finished with value: 13.44024542713433 and parameters: {'x': 4.660418377825547, 'y': 3.4554197489155487}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,446] Trial 243 finished with value: 8.844390826703956 and parameters: {'x': 2.8142352335212815, 'y': 1.3187789770627112}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,447] Trial 244 finished with value: 11.40539149996344 and parameters: {'x': 2.6357344044248325, 'y': 4.021914573545422}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,447] Trial 245 finished with value: 6.133436500818917 and parameters: {'x': 1.4753794695299933, 'y': 0.9166927527975044}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,448] Trial 246 finished with value: 9.542874483876695 and parameters: {'x': 0.09866229753310307, 'y': 3.716606159862748}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,449] Trial 247 finished with value: 6.48812817105026 and parameters: {'x': 0.191467020929183, 'y': 2.1683983448692428}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,450] Trial 248 finished with value: 9.554429765837991 and parameters: {'x': 4.1604238065637436, 'y': 0.06729279249878872}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,451] Trial 249 finished with value: 10.10757671940421 and parameters: {'x': 2.546676957570693, 'y': 2.397743500706264}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,452] Trial 250 finished with value: 1.0107616991357382 and parameters: {'x': 0.14827470398864118, 'y': 0.05714263412033127}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,452] Trial 251 finished with value: 6.323876055572224 and parameters: {'x': 1.6592200011724718, 'y': 0.30715539302647477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,453] Trial 252 finished with value: 12.27777005427824 and parameters: {'x': 2.990867540282372, 'y': 4.4296012676131165}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,454] Trial 253 finished with value: 5.888565518184436 and parameters: {'x': 2.0606688768197037, 'y': 0.19136099451097843}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,455] Trial 254 finished with value: 3.846931736921775 and parameters: {'x': 0.40421201895402825, 'y': 0.4095727115092429}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,456] Trial 255 finished with value: 11.116741954263512 and parameters: {'x': 4.046836669107675, 'y': 4.003470014424989}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,457] Trial 256 finished with value: 10.548427810995527 and parameters: {'x': 0.08454905677353852, 'y': 4.306471626153089}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,458] Trial 257 finished with value: 11.794532699469258 and parameters: {'x': 4.556501121762242, 'y': 2.0043834231758106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,458] Trial 258 finished with value: 11.358371336061872 and parameters: {'x': 1.4344534916885388, 'y': 4.2152244263191925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,459] Trial 259 finished with value: 8.604726890176462 and parameters: {'x': 3.0852227648870825, 'y': 0.702993633926971}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,460] Trial 260 finished with value: 10.368046930771534 and parameters: {'x': 1.1437780685795795, 'y': 4.20748985587598}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,461] Trial 261 finished with value: 10.292732211355425 and parameters: {'x': 4.22179236754099, 'y': 1.1007299669031934}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,462] Trial 262 finished with value: 11.369252561448086 and parameters: {'x': 4.05568819876081, 'y': 2.679767669445578}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,463] Trial 263 finished with value: 10.280651858444699 and parameters: {'x': 3.052142244912166, 'y': 2.6193494156314086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,463] Trial 264 finished with value: 8.07278439807948 and parameters: {'x': 3.1981457424778132, 'y': 0.025781740169585343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,464] Trial 265 finished with value: 9.556500701329405 and parameters: {'x': 0.12369391707809763, 'y': 3.4501319265785617}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,465] Trial 266 finished with value: 9.816116481887354 and parameters: {'x': 0.857965097811067, 'y': 3.469653368443282}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,466] Trial 267 finished with value: 5.842310943888105 and parameters: {'x': 1.426328115609064, 'y': 0.27552960390844206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,467] Trial 268 finished with value: 9.184290769515863 and parameters: {'x': 2.911114512930047, 'y': 1.4790936328279773}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,468] Trial 269 finished with value: 12.106973431816996 and parameters: {'x': 1.6140806778765233, 'y': 4.834946939274982}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,468] Trial 270 finished with value: 6.055173789253882 and parameters: {'x': 0.9746733239154337, 'y': 1.7369825257280702}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,469] Trial 271 finished with value: 6.801636111260548 and parameters: {'x': 0.5200703255535455, 'y': 2.0089092623724447}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,470] Trial 272 finished with value: 8.431382325178696 and parameters: {'x': 0.46423822543645576, 'y': 2.5242190323084963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,471] Trial 273 finished with value: 9.429375698322708 and parameters: {'x': 3.712953704723704, 'y': 0.026452545846914477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,472] Trial 274 finished with value: 3.601690824054902 and parameters: {'x': 0.45080584422510395, 'y': 0.2809199045597016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,473] Trial 275 finished with value: 13.867914662524237 and parameters: {'x': 4.421628316832168, 'y': 4.927929283264253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,473] Trial 276 finished with value: 8.12543959172015 and parameters: {'x': 2.6008734281374934, 'y': 0.9920871476639787}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,474] Trial 277 finished with value: 13.061611962615949 and parameters: {'x': 4.666741580415096, 'y': 3.2729910167106846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,475] Trial 278 finished with value: 11.43329057734574 and parameters: {'x': 3.9589587358004352, 'y': 2.556078393056895}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,476] Trial 279 finished with value: 10.536218642414656 and parameters: {'x': 3.9410594618961015, 'y': 1.6739836583743362}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,477] Trial 280 finished with value: 11.836721075355921 and parameters: {'x': 0.5662656720869486, 'y': 4.524069883514123}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,478] Trial 281 finished with value: 2.56045959627064 and parameters: {'x': 0.021119567542035034, 'y': 0.36751940303380193}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,479] Trial 282 finished with value: 11.83237063871328 and parameters: {'x': 0.6614568197768117, 'y': 4.7107495963735}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,479] Trial 283 finished with value: 6.367933259946817 and parameters: {'x': 1.514648431213112, 'y': 1.066565255901516}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,480] Trial 284 finished with value: 5.672598765407816 and parameters: {'x': 1.2783127625776287, 'y': 0.4796003339718996}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,481] Trial 285 finished with value: 10.385824371877787 and parameters: {'x': 2.0089894149954834, 'y': 3.655138201778497}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,482] Trial 286 finished with value: 9.468906639144176 and parameters: {'x': 3.2410496762079544, 'y': 1.2542279041725952}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,483] Trial 287 finished with value: 8.275616859112345 and parameters: {'x': 1.1371945697591408, 'y': 2.4790807917023434}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,484] Trial 288 finished with value: 12.332042617986879 and parameters: {'x': 4.323824833914893, 'y': 3.1703187656142324}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,484] Trial 289 finished with value: 10.616297086619696 and parameters: {'x': 3.7724623745413237, 'y': 2.1856159563386592}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,485] Trial 290 finished with value: 10.436104291698209 and parameters: {'x': 2.001060451213909, 'y': 3.6145815697262718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,486] Trial 291 finished with value: 8.794036139572007 and parameters: {'x': 1.861842897061573, 'y': 2.7629901519965023}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,487] Trial 292 finished with value: 8.543717978852516 and parameters: {'x': 0.40231808678595715, 'y': 2.97137783551767}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,488] Trial 293 finished with value: 10.720706351202566 and parameters: {'x': 1.404607334666036, 'y': 3.712237931572004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,489] Trial 294 finished with value: 10.791279999427607 and parameters: {'x': 1.4941359832634156, 'y': 3.787683420855808}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,490] Trial 295 finished with value: 3.3759630562706633 and parameters: {'x': 1.1318006900942001, 'y': 0.022038224615346658}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,490] Trial 296 finished with value: 6.328225222651152 and parameters: {'x': 0.6989014049359793, 'y': 1.4788185112007963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,491] Trial 297 finished with value: 7.859824043178897 and parameters: {'x': 0.9779690812537833, 'y': 2.7444101892144577}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,492] Trial 298 finished with value: 9.03281296423037 and parameters: {'x': 1.0499608504502294, 'y': 3.8924608513935106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,493] Trial 299 finished with value: 10.620615567321307 and parameters: {'x': 2.423399515211379, 'y': 3.1967019636164173}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,494] Trial 300 finished with value: 11.516797528464172 and parameters: {'x': 0.8384815371736137, 'y': 4.623413018911441}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,495] Trial 301 finished with value: 10.111886767394223 and parameters: {'x': 3.586699756816521, 'y': 0.7740680574908343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,496] Trial 302 finished with value: 9.836637987623748 and parameters: {'x': 3.6181680290969664, 'y': 0.932049629125622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,497] Trial 303 finished with value: 9.558754652272322 and parameters: {'x': 4.148322826217383, 'y': 0.9832088166987718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,497] Trial 304 finished with value: 12.425351652364135 and parameters: {'x': 4.806503345558579, 'y': 2.7379879240822897}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,498] Trial 305 finished with value: 4.323918901870375 and parameters: {'x': 1.114317998680301, 'y': 1.0636334525707207}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,499] Trial 306 finished with value: 10.305612608299866 and parameters: {'x': 3.1399398120322, 'y': 3.16638064574976}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,500] Trial 307 finished with value: 10.97430213769254 and parameters: {'x': 1.516395186429309, 'y': 4.081838757267333}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,501] Trial 308 finished with value: 9.870730647526344 and parameters: {'x': 2.0952835850444718, 'y': 4.069291426169951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,502] Trial 309 finished with value: 11.759512309986066 and parameters: {'x': 1.3260758528051553, 'y': 4.917127357017433}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,503] Trial 310 finished with value: 11.981160675499067 and parameters: {'x': 4.361526613299537, 'y': 2.242622946824728}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,503] Trial 311 finished with value: 5.876524131282984 and parameters: {'x': 1.676922549236917, 'y': 0.1485302699169916}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,504] Trial 312 finished with value: 13.102557317214668 and parameters: {'x': 4.954683743247883, 'y': 3.404747624152946}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,505] Trial 313 finished with value: 3.556361695609432 and parameters: {'x': 0.9457909320079672, 'y': 0.2252277474858655}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,506] Trial 314 finished with value: 8.87521749375287 and parameters: {'x': 0.0656977268124953, 'y': 3.309053083147978}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,507] Trial 315 finished with value: 6.476920544203612 and parameters: {'x': 0.5375617234826391, 'y': 1.5497881965234401}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,508] Trial 316 finished with value: 6.474013023556381 and parameters: {'x': 1.5397372414690502, 'y': 0.5873611308241922}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,509] Trial 317 finished with value: 13.685574803390994 and parameters: {'x': 4.734657103975001, 'y': 4.886952746178025}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,510] Trial 318 finished with value: 13.186159803321855 and parameters: {'x': 4.522396271343545, 'y': 3.980900747325177}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,511] Trial 319 finished with value: 10.182630143544603 and parameters: {'x': 0.32714711433914023, 'y': 3.5851931299846216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,511] Trial 320 finished with value: 7.545386493181928 and parameters: {'x': 2.2795521713986853, 'y': 0.7574185647525072}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,512] Trial 321 finished with value: 8.638261103686963 and parameters: {'x': 3.2336009756118003, 'y': 0.14617285939798774}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,513] Trial 322 finished with value: 13.291024791731683 and parameters: {'x': 3.7676043625502604, 'y': 4.448664730450772}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,514] Trial 323 finished with value: 5.694105094624511 and parameters: {'x': 0.05190019638577792, 'y': 1.6371392140332086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,515] Trial 324 finished with value: 10.783326963098192 and parameters: {'x': 4.142455457362445, 'y': 0.5629879698020956}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,516] Trial 325 finished with value: 9.235517675024784 and parameters: {'x': 0.12347868956855801, 'y': 4.071767644361329}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,517] Trial 326 finished with value: 6.097217281302395 and parameters: {'x': 1.2445263598758256, 'y': 1.2459829781456622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,518] Trial 327 finished with value: 5.959002451181533 and parameters: {'x': 0.7911840003011694, 'y': 1.3802797427861135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,519] Trial 328 finished with value: 7.483850239123026 and parameters: {'x': 2.14355172786834, 'y': 1.2921090270223545}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,519] Trial 329 finished with value: 7.465298730631504 and parameters: {'x': 1.8347352105276098, 'y': 1.746477966487205}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,520] Trial 330 finished with value: 7.702404747451398 and parameters: {'x': 1.66517890218663, 'y': 1.5168359888758993}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,521] Trial 331 finished with value: 7.329359741427874 and parameters: {'x': 1.575636430769551, 'y': 1.351125886959632}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,522] Trial 332 finished with value: 14.078439072449353 and parameters: {'x': 4.501473093762016, 'y': 4.834871016468915}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,523] Trial 333 finished with value: 11.805430242079208 and parameters: {'x': 4.483492736708329, 'y': 1.8663768989833134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,524] Trial 334 finished with value: 10.047661277193004 and parameters: {'x': 3.241396081360119, 'y': 1.5572090773062781}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,525] Trial 335 finished with value: 11.15966514900903 and parameters: {'x': 4.049860509608515, 'y': 4.023864483544081}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,526] Trial 336 finished with value: 10.351940922778217 and parameters: {'x': 3.9720884433516837, 'y': 0.5571758641568014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,527] Trial 337 finished with value: 11.312331656251716 and parameters: {'x': 4.057990718166497, 'y': 3.8977616929827925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,528] Trial 338 finished with value: 12.006578213933567 and parameters: {'x': 4.425400775488195, 'y': 1.612105259116436}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,528] Trial 339 finished with value: 4.546941065900725 and parameters: {'x': 0.5358271586999214, 'y': 0.8062487863403994}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,529] Trial 340 finished with value: 12.265954484314824 and parameters: {'x': 3.3639318073143447, 'y': 3.5707494667728037}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,530] Trial 341 finished with value: 9.686972424965605 and parameters: {'x': 1.1861710149027471, 'y': 4.028586842399676}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,531] Trial 342 finished with value: 13.975807137190671 and parameters: {'x': 4.59148148699102, 'y': 4.923109231094016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,532] Trial 343 finished with value: 12.615031694753085 and parameters: {'x': 4.985235725102164, 'y': 2.5796198033147206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,533] Trial 344 finished with value: 10.144438364863607 and parameters: {'x': 3.5004215430859222, 'y': 0.38279387609597704}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,534] Trial 345 finished with value: 13.285695130939878 and parameters: {'x': 4.5057074837582505, 'y': 4.0679132355585885}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,536] Trial 346 finished with value: 11.478174070108826 and parameters: {'x': 1.7953085662528945, 'y': 4.878518685464871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,537] Trial 347 finished with value: 5.066670251181307 and parameters: {'x': 1.9299304849809777, 'y': 0.0810469599552216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,537] Trial 348 finished with value: 7.725318776920252 and parameters: {'x': 0.09337227681652627, 'y': 2.7206977168107755}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,538] Trial 349 finished with value: 6.533854655052597 and parameters: {'x': 2.2157315861663758, 'y': 0.12850073723539135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,539] Trial 350 finished with value: 7.2859343683842965 and parameters: {'x': 1.8415225727936901, 'y': 2.1016025395545164}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,540] Trial 351 finished with value: 10.684908763016509 and parameters: {'x': 2.0270198062608795, 'y': 4.990388323243462}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,541] Trial 352 finished with value: 6.960187867889932 and parameters: {'x': 0.7833768772095029, 'y': 2.184794533969097}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,542] Trial 353 finished with value: 11.914386023386182 and parameters: {'x': 1.3511632715491224, 'y': 4.844817182998316}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,543] Trial 354 finished with value: 11.293224743723567 and parameters: {'x': 2.949045207579127, 'y': 3.5209321207041686}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,544] Trial 355 finished with value: 11.743346380615318 and parameters: {'x': 3.2496833610633677, 'y': 3.7770354167726987}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,545] Trial 356 finished with value: 11.679458875312944 and parameters: {'x': 4.426571355138362, 'y': 1.2652636739771244}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,546] Trial 357 finished with value: 7.773193283576287 and parameters: {'x': 1.1399690325804452, 'y': 3.013208541388202}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,547] Trial 358 finished with value: 10.168683800840451 and parameters: {'x': 1.1808208021313833, 'y': 3.6549315019705926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,547] Trial 359 finished with value: 9.62287503614435 and parameters: {'x': 3.3199945879638477, 'y': 1.1963746011645409}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,548] Trial 360 finished with value: 6.263740157827893 and parameters: {'x': 0.9295736477647659, 'y': 1.5638785802177801}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,549] Trial 361 finished with value: 8.422765161329606 and parameters: {'x': 1.8316448318363294, 'y': 2.949533951061176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,550] Trial 362 finished with value: 10.768903724134223 and parameters: {'x': 3.796194699561968, 'y': 1.6117538913772222}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,551] Trial 363 finished with value: 10.175476140465943 and parameters: {'x': 2.510110725524435, 'y': 2.9191553264881014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,552] Trial 364 finished with value: 10.554224493626993 and parameters: {'x': 1.3330044128659595, 'y': 3.56923322272833}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,553] Trial 365 finished with value: 10.428277943619925 and parameters: {'x': 2.2863555352433185, 'y': 3.251156861961829}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,554] Trial 366 finished with value: 9.397435687476593 and parameters: {'x': 2.513344192595443, 'y': 2.15696782708575}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,555] Trial 367 finished with value: 9.640255388206626 and parameters: {'x': 3.5888323054397455, 'y': 0.061804212855827156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,556] Trial 368 finished with value: 8.503077368268185 and parameters: {'x': 0.4014718752766372, 'y': 2.881864726744231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,557] Trial 369 finished with value: 10.89528845137693 and parameters: {'x': 4.06810858236602, 'y': 2.807681168241926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,557] Trial 370 finished with value: 7.572310130022002 and parameters: {'x': 3.017958480806348, 'y': 1.1029041260820605}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,558] Trial 371 finished with value: 11.35822683786316 and parameters: {'x': 4.597705213070565, 'y': 1.0275035020467445}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,559] Trial 372 finished with value: 10.334301783289174 and parameters: {'x': 3.441692822984785, 'y': 1.8760491085648985}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,560] Trial 373 finished with value: 9.366825163062781 and parameters: {'x': 1.0576451338911523, 'y': 4.104956711060199}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,561] Trial 374 finished with value: 10.319887087205322 and parameters: {'x': 0.572872190428042, 'y': 3.865253471404385}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,562] Trial 375 finished with value: 12.656247846838099 and parameters: {'x': 2.4153025902913856, 'y': 4.748548781570176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,563] Trial 376 finished with value: 10.336268730046392 and parameters: {'x': 2.7485185814912407, 'y': 2.622131045851649}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,564] Trial 377 finished with value: 12.6936342764527 and parameters: {'x': 4.367924052208163, 'y': 3.23362910079036}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,565] Trial 378 finished with value: 5.688948182824891 and parameters: {'x': 1.6461538485913811, 'y': 0.05224659864543846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,566] Trial 379 finished with value: 10.110830500819509 and parameters: {'x': 0.6854770412019723, 'y': 3.851589561924845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,567] Trial 380 finished with value: 12.273207645707943 and parameters: {'x': 4.165333083527113, 'y': 3.3233982753678104}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,567] Trial 381 finished with value: 12.484656744452234 and parameters: {'x': 2.8777810221359696, 'y': 4.542240526758478}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,568] Trial 382 finished with value: 11.425499761607393 and parameters: {'x': 3.5718757576050404, 'y': 2.4095000943864937}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,569] Trial 383 finished with value: 11.803245457094556 and parameters: {'x': 3.5369494495495686, 'y': 3.1968646099923888}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,570] Trial 384 finished with value: 9.042549452967808 and parameters: {'x': 0.12469722720175491, 'y': 4.015370361224231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,571] Trial 385 finished with value: 10.186575518036205 and parameters: {'x': 3.731743586736484, 'y': 1.9353467643436872}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,572] Trial 386 finished with value: 7.988209696799993 and parameters: {'x': 2.9316049100820516, 'y': 1.1817841776438487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,573] Trial 387 finished with value: 11.299408930796828 and parameters: {'x': 4.943151059515143, 'y': 2.9439116523280573}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,574] Trial 388 finished with value: 10.272115300169695 and parameters: {'x': 0.9953894225731719, 'y': 4.9508387129758065}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,575] Trial 389 finished with value: 11.413230783280214 and parameters: {'x': 4.265506968629001, 'y': 1.7206051686515156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,576] Trial 390 finished with value: 13.098549108408804 and parameters: {'x': 3.2852051919341596, 'y': 4.665301925763098}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,576] Trial 391 finished with value: 9.849913964349092 and parameters: {'x': 2.7953817518114112, 'y': 3.0855253870565784}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,577] Trial 392 finished with value: 12.292270609101232 and parameters: {'x': 2.3449460237387805, 'y': 4.974148831105845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,578] Trial 393 finished with value: 11.315203140090853 and parameters: {'x': 4.667368546076479, 'y': 0.14127706194105194}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,579] Trial 394 finished with value: 8.40520651084406 and parameters: {'x': 2.2419646994476965, 'y': 1.6998795591296951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,580] Trial 395 finished with value: 6.260505038728272 and parameters: {'x': 0.778811726152957, 'y': 1.478223468324038}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,581] Trial 396 finished with value: 11.472437481822912 and parameters: {'x': 3.586250970322703, 'y': 2.4350476434490167}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,582] Trial 397 finished with value: 12.235704085862338 and parameters: {'x': 1.5414894309370952, 'y': 4.599743491318141}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,583] Trial 398 finished with value: 10.519853942161596 and parameters: {'x': 3.478770004972627, 'y': 1.3835972523776308}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,584] Trial 399 finished with value: 11.915337561227599 and parameters: {'x': 3.9657694708972295, 'y': 4.993195560328999}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,585] Trial 400 finished with value: 11.320253002288661 and parameters: {'x': 3.521502151128004, 'y': 2.374145628966899}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,586] Trial 401 finished with value: 11.29090329121093 and parameters: {'x': 3.977316749198101, 'y': 2.6625305621987865}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,587] Trial 402 finished with value: 11.875663331991058 and parameters: {'x': 2.873164558462395, 'y': 4.831149901117671}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,587] Trial 403 finished with value: 12.175443931137195 and parameters: {'x': 4.713437402146087, 'y': 2.946326447389634}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,588] Trial 404 finished with value: 8.300926935758039 and parameters: {'x': 1.147792118520532, 'y': 2.4767743459617138}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,589] Trial 405 finished with value: 8.196354605338419 and parameters: {'x': 2.178274914321877, 'y': 1.6548526008809084}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,590] Trial 406 finished with value: 8.732343943691152 and parameters: {'x': 3.018750335116476, 'y': 0.4734319073153487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,591] Trial 407 finished with value: 11.831532846162496 and parameters: {'x': 0.5787878859449158, 'y': 4.848441660674134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,592] Trial 408 finished with value: 11.467460198669075 and parameters: {'x': 4.7644736377631, 'y': 1.9000070726471474}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,593] Trial 409 finished with value: 13.241272533641627 and parameters: {'x': 4.937879774226172, 'y': 3.5911532254609426}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,594] Trial 410 finished with value: 12.199229033452848 and parameters: {'x': 4.621158542946111, 'y': 1.659022406354706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,594] Trial 411 finished with value: 11.274497517651321 and parameters: {'x': 4.213027646130707, 'y': 3.024612028996253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,596] Trial 412 finished with value: 11.011320355706633 and parameters: {'x': 4.209069911893718, 'y': 0.4391846452987075}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,597] Trial 413 finished with value: 7.835987772707956 and parameters: {'x': 1.7524743073911475, 'y': 2.1459799105722226}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,598] Trial 414 finished with value: 9.801001789392005 and parameters: {'x': 4.0132414178067455, 'y': 1.2103487743058405}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,599] Trial 415 finished with value: 4.897269335440885 and parameters: {'x': 0.016661386459545513, 'y': 1.9432817255369261}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,600] Trial 416 finished with value: 11.680835279899052 and parameters: {'x': 4.607965659748283, 'y': 0.763119379038707}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,601] Trial 417 finished with value: 13.246856664211204 and parameters: {'x': 3.749972298117215, 'y': 4.7374180952583425}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,602] Trial 418 finished with value: 5.387323888817008 and parameters: {'x': 1.253885077828284, 'y': 0.787196297398004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,603] Trial 419 finished with value: 7.624139513333427 and parameters: {'x': 1.7152766785823403, 'y': 1.461602709177967}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,604] Trial 420 finished with value: 8.601597924364475 and parameters: {'x': 1.3520658837907396, 'y': 2.372438113797351}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,605] Trial 421 finished with value: 7.379291585291298 and parameters: {'x': 2.7930189821136464, 'y': 0.031737380005553706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,606] Trial 422 finished with value: 10.891688058409025 and parameters: {'x': 4.217288485526173, 'y': 0.6801696396168871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,607] Trial 423 finished with value: 10.299411814439988 and parameters: {'x': 3.8122101873765697, 'y': 0.41218452352049795}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,608] Trial 424 finished with value: 10.208464294714064 and parameters: {'x': 3.81880576682492, 'y': 1.8169659683865675}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,608] Trial 425 finished with value: 10.028817047410373 and parameters: {'x': 1.2087293105524348, 'y': 3.793127415195745}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,609] Trial 426 finished with value: 7.261182866121507 and parameters: {'x': 0.2790957476830819, 'y': 2.2438680755679603}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,610] Trial 427 finished with value: 14.24707476875786 and parameters: {'x': 4.504128191663766, 'y': 4.536426179394706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,611] Trial 428 finished with value: 11.53130854114426 and parameters: {'x': 2.34440646591819, 'y': 4.155224828254459}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,612] Trial 429 finished with value: 10.035148728001966 and parameters: {'x': 3.339457159272726, 'y': 1.3085702530437353}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,613] Trial 430 finished with value: 12.00190998770292 and parameters: {'x': 1.7877920284854298, 'y': 4.638094994544125}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,614] Trial 431 finished with value: 14.01538390195471 and parameters: {'x': 4.410506190386242, 'y': 4.788139963768522}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,615] Trial 432 finished with value: 4.666091133704892 and parameters: {'x': 1.1059764324677757, 'y': 0.7542856870743286}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,616] Trial 433 finished with value: 8.142015730690124 and parameters: {'x': 0.6161159090355595, 'y': 2.3898397730907184}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,617] Trial 434 finished with value: 11.879730726613051 and parameters: {'x': 1.2871110125996195, 'y': 4.732209161219746}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,618] Trial 435 finished with value: 11.50770167045246 and parameters: {'x': 2.4547123105592443, 'y': 3.6044560976192708}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,619] Trial 436 finished with value: 11.39469182989561 and parameters: {'x': 4.981161330369753, 'y': 2.1766888161941926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,619] Trial 437 finished with value: 0.7804106054859936 and parameters: {'x': 0.10732164140456302, 'y': 0.07550790294400644}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,620] Trial 438 finished with value: 10.429537583216518 and parameters: {'x': 2.3584819107069817, 'y': 3.190198197830021}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,621] Trial 439 finished with value: 4.96540431517192 and parameters: {'x': 0.5277377187120708, 'y': 1.0982878491684678}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,622] Trial 440 finished with value: 12.51959837127892 and parameters: {'x': 3.6746873579644275, 'y': 3.5656393265313238}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,623] Trial 441 finished with value: 13.310419785020215 and parameters: {'x': 4.801937205804211, 'y': 3.656659960854932}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,624] Trial 442 finished with value: 11.149675940912598 and parameters: {'x': 4.200232100305174, 'y': 2.9712838594594713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,625] Trial 443 finished with value: 12.343066204190144 and parameters: {'x': 3.4099618227374546, 'y': 3.554075909742147}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,626] Trial 444 finished with value: 5.6759505823925345 and parameters: {'x': 0.8780434126462405, 'y': 1.9094461322518268}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,627] Trial 445 finished with value: 6.607630149326052 and parameters: {'x': 1.9938793894736069, 'y': 1.935711389319521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,628] Trial 446 finished with value: 6.00431305323762 and parameters: {'x': 0.9366003382596688, 'y': 2.1169233194543096}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,628] Trial 447 finished with value: 13.027263446057466 and parameters: {'x': 3.689892011332293, 'y': 4.950600642632251}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,630] Trial 448 finished with value: 11.06575203582668 and parameters: {'x': 0.3441815521175967, 'y': 4.262229256565206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,630] Trial 449 finished with value: 11.233300822016634 and parameters: {'x': 3.9237478347273207, 'y': 2.3966823952125753}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,631] Trial 450 finished with value: 8.935380249107924 and parameters: {'x': 1.4876991240229658, 'y': 2.4164676051324174}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,632] Trial 451 finished with value: 11.741073301615504 and parameters: {'x': 1.9644552766060486, 'y': 4.498472398791405}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,633] Trial 452 finished with value: 6.082732869229478 and parameters: {'x': 1.400062597877147, 'y': 0.47308219360903625}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,634] Trial 453 finished with value: 8.122986607956738 and parameters: {'x': 2.5225478308799607, 'y': 0.8888340113786181}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,635] Trial 454 finished with value: 10.02573892634024 and parameters: {'x': 1.1571208454981974, 'y': 3.4887523537576577}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,638] Trial 455 finished with value: 14.122725695817879 and parameters: {'x': 4.425953927746668, 'y': 4.4820875653525025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,639] Trial 456 finished with value: 11.12488185820932 and parameters: {'x': 4.034092789320193, 'y': 3.9351871317284477}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,640] Trial 457 finished with value: 10.822916013291252 and parameters: {'x': 4.057685738995707, 'y': 1.6228102359843521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,641] Trial 458 finished with value: 7.799678963438955 and parameters: {'x': 3.104179792814024, 'y': 0.9079559307976542}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,642] Trial 459 finished with value: 13.558071660350077 and parameters: {'x': 4.263230292643333, 'y': 4.789186109978953}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,643] Trial 460 finished with value: 5.379273068061256 and parameters: {'x': 1.2629667463169851, 'y': 0.3471682486006089}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,643] Trial 461 finished with value: 13.503353859353549 and parameters: {'x': 3.6472602799256286, 'y': 4.585275919341306}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,644] Trial 462 finished with value: 9.95189832119296 and parameters: {'x': 4.217291323814577, 'y': 0.06534306686574565}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,645] Trial 463 finished with value: 7.316189589089076 and parameters: {'x': 2.1544055069289936, 'y': 1.977017966150556}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,646] Trial 464 finished with value: 6.837266790743383 and parameters: {'x': 2.107062124054001, 'y': 0.7011774809488025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,647] Trial 465 finished with value: 12.326391259520475 and parameters: {'x': 3.8061924650999472, 'y': 3.4622914922425165}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,648] Trial 466 finished with value: 12.438153329094177 and parameters: {'x': 3.059137452812551, 'y': 4.644550575118717}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,649] Trial 467 finished with value: 10.795756609067213 and parameters: {'x': 3.5770919128123864, 'y': 1.6153670832663791}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,650] Trial 468 finished with value: 12.976661440518908 and parameters: {'x': 4.080223600535277, 'y': 4.7351518146604885}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,651] Trial 469 finished with value: 8.31533623510785 and parameters: {'x': 0.8067232894823856, 'y': 2.6448926126752745}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,652] Trial 470 finished with value: 10.129849179817505 and parameters: {'x': 3.8967028438943183, 'y': 1.7891317967768172}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,652] Trial 471 finished with value: 10.495601334816916 and parameters: {'x': 1.843470804737017, 'y': 3.5058645128464376}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,653] Trial 472 finished with value: 10.088792482724358 and parameters: {'x': 2.7654320858351027, 'y': 3.113727970345309}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,654] Trial 473 finished with value: 8.489489614352319 and parameters: {'x': 1.0263837170960788, 'y': 3.215932794062375}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,656] Trial 474 finished with value: 10.997502590623936 and parameters: {'x': 2.4805922066317883, 'y': 3.284689230485689}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,657] Trial 475 finished with value: 6.291712557698734 and parameters: {'x': 1.4650440056970793, 'y': 0.7063166537840632}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,658] Trial 476 finished with value: 10.93523004668661 and parameters: {'x': 4.183730895251133, 'y': 0.5658401958833559}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,659] Trial 477 finished with value: 7.850438094434846 and parameters: {'x': 0.5599168274764549, 'y': 2.2945630290077066}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,660] Trial 478 finished with value: 11.627074996182836 and parameters: {'x': 2.074821999819689, 'y': 4.727132686901395}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,660] Trial 479 finished with value: 7.797052693640023 and parameters: {'x': 2.060681641475947, 'y': 1.629046569019739}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,661] Trial 480 finished with value: 7.032253172863296 and parameters: {'x': 1.6073255276032867, 'y': 1.246078044226684}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,662] Trial 481 finished with value: 9.717309651594512 and parameters: {'x': 3.694629393054078, 'y': 0.1452253478402482}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,663] Trial 482 finished with value: 9.28452105239339 and parameters: {'x': 3.2417304714517914, 'y': 0.32514601807110965}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,664] Trial 483 finished with value: 5.315871409227775 and parameters: {'x': 1.200964624897748, 'y': 0.4522330920560269}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,665] Trial 484 finished with value: 9.440968128035568 and parameters: {'x': 3.8048243910578416, 'y': 1.0766348745679348}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,666] Trial 485 finished with value: 11.128758047393772 and parameters: {'x': 3.4025495977679103, 'y': 2.3743371466036587}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,667] Trial 486 finished with value: 11.606968638275713 and parameters: {'x': 4.654079612466723, 'y': 0.7898450946089941}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,668] Trial 487 finished with value: 8.164509127866584 and parameters: {'x': 2.4061686085964666, 'y': 0.45546552540126295}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,669] Trial 488 finished with value: 4.215593111143367 and parameters: {'x': 0.8822884373740586, 'y': 0.3681398348093584}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,670] Trial 489 finished with value: 10.402055248667342 and parameters: {'x': 1.7199664697902828, 'y': 3.3849639252179493}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,670] Trial 490 finished with value: 7.395006822537743 and parameters: {'x': 1.3881946345175273, 'y': 1.5523358451185554}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,671] Trial 491 finished with value: 6.0595150997035425 and parameters: {'x': 0.2723050025800139, 'y': 1.5129130477433206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,672] Trial 492 finished with value: 11.838682067772567 and parameters: {'x': 4.276207744351974, 'y': 2.83923223769671}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,673] Trial 493 finished with value: 13.278499721884376 and parameters: {'x': 4.85037561346188, 'y': 3.4596523068267637}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,674] Trial 494 finished with value: 4.549486920521389 and parameters: {'x': 0.6634885345608066, 'y': 0.8018360929305579}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,675] Trial 495 finished with value: 5.690223476399435 and parameters: {'x': 1.9547778130093625, 'y': 0.864218941932488}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,676] Trial 496 finished with value: 3.8395917237234833 and parameters: {'x': 0.13501540166023784, 'y': 1.1454565746303713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,677] Trial 497 finished with value: 9.06181195713635 and parameters: {'x': 2.0097930888484257, 'y': 2.5779436380218317}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,678] Trial 498 finished with value: 4.141706705777526 and parameters: {'x': 1.050766261540541, 'y': 0.8255628900432621}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,679] Trial 499 finished with value: 10.11695865881527 and parameters: {'x': 3.4497399262396455, 'y': 0.47594639104199365}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,679] A new study created in memory with name: x=[0,4), y=[0,4)\n[I 2023-11-01 05:28:28,680] Trial 0 finished with value: 9.859778541798656 and parameters: {'x': 1.3933196794073037, 'y': 3.2358514401958347}. Best is trial 0 with value: 9.859778541798656.\n[I 2023-11-01 05:28:28,681] Trial 1 finished with value: 9.039593212528152 and parameters: {'x': 1.838548751301699, 'y': 2.504497219276703}. Best is trial 1 with value: 9.039593212528152.\n[I 2023-11-01 05:28:28,681] Trial 2 finished with value: 4.244161659801236 and parameters: {'x': 0.8145873234061498, 'y': 0.37470161910149224}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,682] Trial 3 finished with value: 10.707175702169542 and parameters: {'x': 3.902103869064555, 'y': 1.4693753133410787}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,683] Trial 4 finished with value: 7.299292877283396 and parameters: {'x': 2.305135871772639, 'y': 0.9837282718184688}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,684] Trial 5 finished with value: 10.680969952713568 and parameters: {'x': 3.96983477897882, 'y': 2.265084513109098}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,685] Trial 6 finished with value: 10.534469944310851 and parameters: {'x': 2.0671457821091552, 'y': 3.5257358718900864}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,686] Trial 7 finished with value: 6.984222753302996 and parameters: {'x': 0.04765358251977991, 'y': 2.92097283880608}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,686] Trial 8 finished with value: 8.822231479320317 and parameters: {'x': 1.2751187315175243, 'y': 2.600010316693418}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,687] Trial 9 finished with value: 10.098013003294861 and parameters: {'x': 3.30128843589085, 'y': 1.7369520482245924}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,688] Trial 10 finished with value: 6.590857000246849 and parameters: {'x': 0.6273547556415009, 'y': 1.9094396171974033}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,689] Trial 11 finished with value: 5.529780090813791 and parameters: {'x': 1.3200314988592186, 'y': 0.9621656302946389}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,690] Trial 12 finished with value: 7.964652132745382 and parameters: {'x': 2.431829240381084, 'y': 0.8558984720330014}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,691] Trial 13 finished with value: 7.2060689475395385 and parameters: {'x': 1.9347330117135004, 'y': 1.7763143086502295}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,691] Trial 14 finished with value: 7.38790703558322 and parameters: {'x': 1.4591918094157488, 'y': 1.4523362557690818}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,692] Trial 15 finished with value: 6.166968985628692 and parameters: {'x': 0.8561980303273447, 'y': 1.472478142941779}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,693] Trial 16 finished with value: 8.558532033087145 and parameters: {'x': 0.6168391828672339, 'y': 2.836747068751847}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,694] Trial 17 finished with value: 9.338342614865656 and parameters: {'x': 3.298276896472674, 'y': 1.1440750956569046}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,695] Trial 18 finished with value: 11.10649259399895 and parameters: {'x': 2.8214730316745245, 'y': 3.7744207192919066}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,696] Trial 19 finished with value: 6.7236981165918905 and parameters: {'x': 0.5425632260332911, 'y': 1.9664808329550993}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,697] Trial 20 finished with value: 9.197320562025435 and parameters: {'x': 2.6301945639685935, 'y': 2.0897056077133547}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,697] Trial 21 finished with value: 6.564082939358261 and parameters: {'x': 0.5216182433451544, 'y': 1.6125483245888965}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,698] Trial 22 finished with value: 7.760458384259243 and parameters: {'x': 1.649580915829942, 'y': 1.7232746235781753}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,699] Trial 23 finished with value: 4.692281434608283 and parameters: {'x': 0.4763457596546661, 'y': 1.0318764322136516}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,700] Trial 24 finished with value: 10.457106146198148 and parameters: {'x': 1.884117526823101, 'y': 3.515186937291592}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,701] Trial 25 finished with value: 10.28898955389791 and parameters: {'x': 3.1158246006173047, 'y': 3.1838538522785744}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,702] Trial 26 finished with value: 9.331292201439751 and parameters: {'x': 0.017672354936568713, 'y': 3.4211695299212206}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,702] Trial 27 finished with value: 10.060005028037963 and parameters: {'x': 0.786957066684185, 'y': 3.6852471668044555}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,703] Trial 28 finished with value: 3.964292399208695 and parameters: {'x': 0.46295550697412713, 'y': 0.39938900035022407}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,704] Trial 29 finished with value: 10.269990858462307 and parameters: {'x': 1.65981265679325, 'y': 3.320513303194814}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,705] Trial 30 finished with value: 11.268039501438045 and parameters: {'x': 2.633330398842245, 'y': 3.362248171171207}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,706] Trial 31 finished with value: 5.396934020251162 and parameters: {'x': 1.1949167255641462, 'y': 1.1654157413744377}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,707] Trial 32 finished with value: 9.829000907142534 and parameters: {'x': 0.8784560741266598, 'y': 3.4924433376133783}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,708] Trial 33 finished with value: 10.369946123204146 and parameters: {'x': 3.9701276532663954, 'y': 0.4997243304279091}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,708] Trial 34 finished with value: 7.682115993810168 and parameters: {'x': 2.0668884599462567, 'y': 1.4241440362775037}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,709] Trial 35 finished with value: 11.752399043322077 and parameters: {'x': 3.1788488466327007, 'y': 3.5497268271566926}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,710] Trial 36 finished with value: 12.226827133986625 and parameters: {'x': 3.4516564162177263, 'y': 3.4014755174992803}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,711] Trial 37 finished with value: 9.001126604354294 and parameters: {'x': 1.7287436729282057, 'y': 3.039231370839761}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,712] Trial 38 finished with value: 3.7033385075458476 and parameters: {'x': 0.2408286872302634, 'y': 0.9882472155647375}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,713] Trial 39 finished with value: 7.816144951505883 and parameters: {'x': 2.38247805165682, 'y': 1.0733449299813174}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,713] Trial 40 finished with value: 11.480525241689845 and parameters: {'x': 3.75901341027312, 'y': 2.453615193920154}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,714] Trial 41 finished with value: 12.202111886720926 and parameters: {'x': 3.7450474278361403, 'y': 3.7846922598231063}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,715] Trial 42 finished with value: 11.405793594949529 and parameters: {'x': 2.403226350502876, 'y': 3.745084760723254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,716] Trial 43 finished with value: 5.750984516139752 and parameters: {'x': 1.781549861697862, 'y': 0.16127595645851578}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,717] Trial 44 finished with value: 5.54345653122553 and parameters: {'x': 0.2172688339262261, 'y': 1.3822698988079365}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,718] Trial 45 finished with value: 10.060905765872992 and parameters: {'x': 0.7979283545488918, 'y': 3.5741214978277833}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,719] Trial 46 finished with value: 6.959205036747614 and parameters: {'x': 0.5164581753461488, 'y': 2.0663302791013227}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,719] Trial 47 finished with value: 11.03616182271487 and parameters: {'x': 3.9480950365448084, 'y': 3.96645174529096}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,720] Trial 48 finished with value: 6.614950609692865 and parameters: {'x': 0.6310986798933471, 'y': 1.6589654222068524}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,721] Trial 49 finished with value: 9.175626846648905 and parameters: {'x': 2.745981291764348, 'y': 1.4264809557268383}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,722] Trial 50 finished with value: 8.515399997037537 and parameters: {'x': 2.6274468517453085, 'y': 0.6861219767706412}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,723] Trial 51 finished with value: 5.435487475041612 and parameters: {'x': 1.9397491625683356, 'y': 1.0202429416259573}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,724] Trial 52 finished with value: 9.745806897619802 and parameters: {'x': 3.430168293505469, 'y': 0.2317638687174539}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,724] Trial 53 finished with value: 9.752071545230551 and parameters: {'x': 2.7855338170640893, 'y': 3.043792727489718}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,725] Trial 54 finished with value: 4.4704695077871826 and parameters: {'x': 0.5271026419422009, 'y': 0.6223072245090484}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,726] Trial 55 finished with value: 12.03918283506897 and parameters: {'x': 3.2704636918929406, 'y': 3.5829796005976884}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,727] Trial 56 finished with value: 10.18696347807152 and parameters: {'x': 3.9278091591189184, 'y': 2.9741530786699166}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,728] Trial 57 finished with value: 7.556126379464672 and parameters: {'x': 3.0881791182582132, 'y': 0.9834557500733685}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,729] Trial 58 finished with value: 9.185903992885615 and parameters: {'x': 3.3688244164395478, 'y': 0.07370278788612072}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,729] Trial 59 finished with value: 6.280576366644379 and parameters: {'x': 0.5731961180739842, 'y': 1.450687583583008}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,730] Trial 60 finished with value: 7.742064083775642 and parameters: {'x': 1.5656204313309159, 'y': 1.7387483442563485}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,731] Trial 61 finished with value: 11.132968842390083 and parameters: {'x': 3.39312495501294, 'y': 2.843245434223765}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,732] Trial 62 finished with value: 8.567754039160308 and parameters: {'x': 1.8015413117258299, 'y': 2.944191104585469}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,733] Trial 63 finished with value: 4.832743885161232 and parameters: {'x': 0.4465773656006653, 'y': 1.0891525830804647}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,734] Trial 64 finished with value: 11.104507548957141 and parameters: {'x': 2.8701212402413727, 'y': 3.733795236099265}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,734] Trial 65 finished with value: 7.40615921330866 and parameters: {'x': 2.3241082704852536, 'y': 0.9776882221678127}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,735] Trial 66 finished with value: 11.505979204998482 and parameters: {'x': 2.737406586939625, 'y': 3.6572814342341977}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,736] Trial 67 finished with value: 6.534579593040267 and parameters: {'x': 1.2195404608268183, 'y': 1.9017797211719087}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,737] Trial 68 finished with value: 9.930908552455072 and parameters: {'x': 0.5560221319737524, 'y': 3.3681618420035133}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,738] Trial 69 finished with value: 6.901786099055903 and parameters: {'x': 2.272307748983125, 'y': 0.12754687071613713}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,739] Trial 70 finished with value: 9.998882920157838 and parameters: {'x': 0.7698589318554725, 'y': 3.7592329794195254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,740] Trial 71 finished with value: 7.919037470960159 and parameters: {'x': 2.600456136224802, 'y': 0.12119274231295663}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,740] Trial 72 finished with value: 9.62924260549343 and parameters: {'x': 3.5723994726880854, 'y': 0.054357180230217406}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,741] Trial 73 finished with value: 0.2151968790881824 and parameters: {'x': 0.04884273066499656, 'y': 0.016513827190637542}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,743] Trial 74 finished with value: 5.876716919840415 and parameters: {'x': 0.1695058988291449, 'y': 1.5451156431523292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,744] Trial 75 finished with value: 6.50152632645646 and parameters: {'x': 1.253513702284081, 'y': 1.3314201920039643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,745] Trial 76 finished with value: 10.073728693626201 and parameters: {'x': 1.790940909549009, 'y': 3.9306183079192376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,746] Trial 77 finished with value: 11.592961833859302 and parameters: {'x': 3.3382684898030006, 'y': 3.247600734696528}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,747] Trial 78 finished with value: 8.524339728788682 and parameters: {'x': 2.7939800283677414, 'y': 1.9465730742746103}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,748] Trial 79 finished with value: 6.810148362488738 and parameters: {'x': 2.250517079552346, 'y': 0.1412007733389138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,749] Trial 80 finished with value: 4.578449067293313 and parameters: {'x': 0.9513282606596039, 'y': 0.5176395568530854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,750] Trial 81 finished with value: 8.03611178521659 and parameters: {'x': 2.7495574802101426, 'y': 0.8605322444674512}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,751] Trial 82 finished with value: 9.0484191526951 and parameters: {'x': 3.302135926381046, 'y': 0.9473176516728192}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,752] Trial 83 finished with value: 12.120266358270943 and parameters: {'x': 3.6739792951218915, 'y': 3.934808570119411}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,753] Trial 84 finished with value: 10.402439856923305 and parameters: {'x': 1.9698964088020623, 'y': 3.506429165248168}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,754] Trial 85 finished with value: 4.160126567431099 and parameters: {'x': 0.7989548719069344, 'y': 0.3462904341027335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,755] Trial 86 finished with value: 8.553032648925823 and parameters: {'x': 2.9162754648283156, 'y': 0.42806181200585414}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,756] Trial 87 finished with value: 10.608490346655685 and parameters: {'x': 3.2532379182350595, 'y': 3.0910275017250406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,757] Trial 88 finished with value: 3.7015802211423185 and parameters: {'x': 0.2322645623258115, 'y': 0.5625554562742372}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,758] Trial 89 finished with value: 9.191385997850857 and parameters: {'x': 2.547976011875257, 'y': 1.516626324984331}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,759] Trial 90 finished with value: 6.442237775568518 and parameters: {'x': 1.1361400624445248, 'y': 1.4499627343902555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,760] Trial 91 finished with value: 10.0445479409038 and parameters: {'x': 1.1371007311701828, 'y': 3.5410274711784107}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,761] Trial 92 finished with value: 10.977920512951362 and parameters: {'x': 3.757065188327247, 'y': 2.8931772973556926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,762] Trial 93 finished with value: 8.235795283382567 and parameters: {'x': 2.082113472254048, 'y': 2.9454209884361773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,763] Trial 94 finished with value: 9.93034334231159 and parameters: {'x': 3.464529351420215, 'y': 0.28253052622114705}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,763] Trial 95 finished with value: 4.12794561810944 and parameters: {'x': 0.4961925387838706, 'y': 0.44012286036116954}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,764] Trial 96 finished with value: 9.770704684742935 and parameters: {'x': 0.9230872571633748, 'y': 3.490669945563004}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,765] Trial 97 finished with value: 8.019703025801185 and parameters: {'x': 3.1355638961169685, 'y': 1.0714067782110388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,766] Trial 98 finished with value: 10.506967336266714 and parameters: {'x': 3.0207104304758863, 'y': 3.849499571070234}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,767] Trial 99 finished with value: 9.769323851016116 and parameters: {'x': 2.924175184757402, 'y': 2.3448622903364957}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,768] Trial 100 finished with value: 8.640166243405007 and parameters: {'x': 2.7226932337739216, 'y': 0.4994786053724156}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,769] Trial 101 finished with value: 10.089444683751838 and parameters: {'x': 3.871491069827993, 'y': 0.33848581827426116}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,770] Trial 102 finished with value: 8.186227648748062 and parameters: {'x': 1.2200983012467015, 'y': 2.360577004611718}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,771] Trial 103 finished with value: 8.06051983142751 and parameters: {'x': 2.4520107245963514, 'y': 0.8297937319854545}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,772] Trial 104 finished with value: 8.386680858343565 and parameters: {'x': 0.3249375577272491, 'y': 2.6079869824945696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,773] Trial 105 finished with value: 7.348582073690469 and parameters: {'x': 1.067582975461931, 'y': 2.9485118438811426}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,774] Trial 106 finished with value: 6.205295019163518 and parameters: {'x': 2.06997945847861, 'y': 0.8137554383860333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,775] Trial 107 finished with value: 10.986137556963685 and parameters: {'x': 3.5765675535466497, 'y': 2.2201968827903356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,776] Trial 108 finished with value: 11.476111653910753 and parameters: {'x': 3.6031268809452617, 'y': 2.4312641887005704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,777] Trial 109 finished with value: 7.3944165656711185 and parameters: {'x': 2.8733924329055345, 'y': 1.0206703053627808}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,778] Trial 110 finished with value: 8.139625158792638 and parameters: {'x': 2.820147250520451, 'y': 1.1666515616728446}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,779] Trial 111 finished with value: 4.933785005094766 and parameters: {'x': 1.9178777080752796, 'y': 0.021013293830758784}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,780] Trial 112 finished with value: 5.624930891218909 and parameters: {'x': 1.4332515629066673, 'y': 0.17797717789785095}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,781] Trial 113 finished with value: 6.094411408044536 and parameters: {'x': 0.8831892500246643, 'y': 1.7561596489534015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,782] Trial 114 finished with value: 10.350248108508522 and parameters: {'x': 0.5621434508607988, 'y': 3.8269720325807453}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,783] Trial 115 finished with value: 4.446371638664033 and parameters: {'x': 1.0795604822820097, 'y': 0.7805852288782855}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,784] Trial 116 finished with value: 11.379784239135127 and parameters: {'x': 3.635131315146991, 'y': 2.829311753826587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,785] Trial 117 finished with value: 9.874730007709653 and parameters: {'x': 3.4682953737404696, 'y': 0.8220673834864538}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,786] Trial 118 finished with value: 9.807764019725601 and parameters: {'x': 0.9494737467704817, 'y': 3.530087053993743}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,787] Trial 119 finished with value: 11.410294712002278 and parameters: {'x': 3.9871173808297056, 'y': 3.842963180939406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,788] Trial 120 finished with value: 7.719275347795678 and parameters: {'x': 2.0065123631697337, 'y': 1.5455205599702864}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,789] Trial 121 finished with value: 9.277457289195318 and parameters: {'x': 1.6182801213473015, 'y': 3.027341246168199}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,790] Trial 122 finished with value: 7.763855358987204 and parameters: {'x': 0.9363421887709489, 'y': 3.111505973359827}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,791] Trial 123 finished with value: 9.110185341215733 and parameters: {'x': 2.5624184237197096, 'y': 1.8247744584254226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,792] Trial 124 finished with value: 6.528727778503942 and parameters: {'x': 0.40511538340101305, 'y': 1.8765124216775555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,793] Trial 125 finished with value: 12.364248094899766 and parameters: {'x': 3.7277047674793513, 'y': 3.7247168959501478}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,794] Trial 126 finished with value: 11.011311935244251 and parameters: {'x': 2.3685755137917592, 'y': 3.3575240438917673}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,795] Trial 127 finished with value: 7.258172960937385 and parameters: {'x': 1.2317497913178186, 'y': 2.159008680800039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,796] Trial 128 finished with value: 7.430708868599407 and parameters: {'x': 2.3883691403099236, 'y': 0.09910389553271326}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,797] Trial 129 finished with value: 4.377886023640851 and parameters: {'x': 0.7326561110324659, 'y': 0.4290136452924571}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,798] Trial 130 finished with value: 9.679292695512402 and parameters: {'x': 3.7296188437089395, 'y': 0.15512078425954456}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,798] Trial 131 finished with value: 8.925525251448645 and parameters: {'x': 3.9106045264751623, 'y': 0.9588186728514732}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,799] Trial 132 finished with value: 6.6398318289712215 and parameters: {'x': 0.48236236064767146, 'y': 1.7600763848392056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,800] Trial 133 finished with value: 9.293731400441033 and parameters: {'x': 3.128480998346366, 'y': 1.7400833037468666}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,801] Trial 134 finished with value: 9.874323707396623 and parameters: {'x': 3.484209234756394, 'y': 1.0985066631040374}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,802] Trial 135 finished with value: 8.631833679924338 and parameters: {'x': 1.8948794514066605, 'y': 3.117613250216388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,803] Trial 136 finished with value: 10.275675796090006 and parameters: {'x': 3.3991273948311873, 'y': 1.8340578173776851}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,804] Trial 137 finished with value: 10.359721880073934 and parameters: {'x': 2.6267802049016957, 'y': 3.085700377707863}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,805] Trial 138 finished with value: 8.210833865250711 and parameters: {'x': 2.516363850598352, 'y': 0.8196266205695761}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,806] Trial 139 finished with value: 12.022924135876615 and parameters: {'x': 3.389095679740186, 'y': 3.3529398437885245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,807] Trial 140 finished with value: 9.304331326398993 and parameters: {'x': 1.642346402818133, 'y': 2.651197454795302}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,808] Trial 141 finished with value: 8.686674607755023 and parameters: {'x': 1.7089786565719036, 'y': 2.316092187475462}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,809] Trial 142 finished with value: 6.997240891390188 and parameters: {'x': 2.0776459027142766, 'y': 0.5371464989205403}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,810] Trial 143 finished with value: 9.576903304434243 and parameters: {'x': 3.7642216964945523, 'y': 0.9019122546912715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,811] Trial 144 finished with value: 9.803241032909828 and parameters: {'x': 3.5326499741645327, 'y': 0.9714572510032968}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,812] Trial 145 finished with value: 7.8071162529029365 and parameters: {'x': 0.9530674923667211, 'y': 2.7634909126453584}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,813] Trial 146 finished with value: 10.075231814652724 and parameters: {'x': 3.48441276263407, 'y': 0.7180431183628277}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,814] Trial 147 finished with value: 6.375922180024251 and parameters: {'x': 1.8046886318843813, 'y': 0.7459821381585212}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,814] Trial 148 finished with value: 9.413608486585655 and parameters: {'x': 3.933916726426555, 'y': 1.9585479049450258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,815] Trial 149 finished with value: 10.28412430704962 and parameters: {'x': 3.3148229892276877, 'y': 1.535581323171066}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,816] Trial 150 finished with value: 4.350627454821726 and parameters: {'x': 0.21250281775814894, 'y': 1.1646549470884318}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,817] Trial 151 finished with value: 9.291214543796979 and parameters: {'x': 3.767119014514924, 'y': 0.05554223443280559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,818] Trial 152 finished with value: 11.262615388974723 and parameters: {'x': 2.6782951778417865, 'y': 3.9068321042955114}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,819] Trial 153 finished with value: 7.037404672005643 and parameters: {'x': 1.5623448927156396, 'y': 1.2560764485773763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,820] Trial 154 finished with value: 6.290638213631119 and parameters: {'x': 0.9897733601874057, 'y': 1.578485331567916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,821] Trial 155 finished with value: 5.736349520417626 and parameters: {'x': 0.625380744133333, 'y': 1.2821182192654983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,822] Trial 156 finished with value: 6.766715854131045 and parameters: {'x': 2.027214829584737, 'y': 1.8991490484783213}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,823] Trial 157 finished with value: 10.87770316730678 and parameters: {'x': 2.4079485621216716, 'y': 3.282445457145102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,824] Trial 158 finished with value: 10.035889093507278 and parameters: {'x': 1.2347496820084465, 'y': 3.842653042199124}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,825] Trial 159 finished with value: 10.304801724231645 and parameters: {'x': 0.6662920601396958, 'y': 3.6561413772209934}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,826] Trial 160 finished with value: 7.637435938861136 and parameters: {'x': 1.9853065750934986, 'y': 1.4879383070697996}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,827] Trial 161 finished with value: 6.8235965706121124 and parameters: {'x': 1.4821404923034507, 'y': 1.2254013635508776}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,828] Trial 162 finished with value: 5.601998291743918 and parameters: {'x': 1.6890528206784348, 'y': 0.011438891268208184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,828] Trial 163 finished with value: 2.849084346027542 and parameters: {'x': 0.06295370518636378, 'y': 1.031830480408582}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,829] Trial 164 finished with value: 6.399098494880953 and parameters: {'x': 2.0751471528509584, 'y': 0.7772473107038773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,830] Trial 165 finished with value: 8.392320801794583 and parameters: {'x': 1.9414122925975796, 'y': 2.320254719400466}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,831] Trial 166 finished with value: 10.243672123912138 and parameters: {'x': 2.374158598267379, 'y': 3.127409484267983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,832] Trial 167 finished with value: 10.239794754974406 and parameters: {'x': 2.4530394334748618, 'y': 2.597858884115015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,833] Trial 168 finished with value: 8.664885822736856 and parameters: {'x': 2.3260047004211732, 'y': 1.4595369973445482}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,834] Trial 169 finished with value: 8.313484934031424 and parameters: {'x': 0.7976136598357257, 'y': 2.5722926319517176}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,835] Trial 170 finished with value: 7.439426909141176 and parameters: {'x': 0.892794726117486, 'y': 2.3176771815226087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,836] Trial 171 finished with value: 10.764393870053514 and parameters: {'x': 3.3966726052998424, 'y': 2.236227111224998}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,837] Trial 172 finished with value: 7.672732461844447 and parameters: {'x': 0.6565399271869343, 'y': 2.266383207388518}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,838] Trial 173 finished with value: 9.912718580952895 and parameters: {'x': 3.4427460583166134, 'y': 0.767008084023082}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,839] Trial 174 finished with value: 7.492130034499652 and parameters: {'x': 2.431786498107929, 'y': 0.0012019289323461635}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,840] Trial 175 finished with value: 11.432963250400805 and parameters: {'x': 2.398579419032148, 'y': 3.626689061898129}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,841] Trial 176 finished with value: 4.679324472600673 and parameters: {'x': 0.5046659693982054, 'y': 1.0136426491222448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,842] Trial 177 finished with value: 10.014653304662277 and parameters: {'x': 3.6656304163043663, 'y': 0.8136327917263362}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,843] Trial 178 finished with value: 9.42189561442088 and parameters: {'x': 2.9282945598665706, 'y': 2.2735780055911254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,844] Trial 179 finished with value: 8.238792467050876 and parameters: {'x': 0.9229106738167738, 'y': 3.1755356848963574}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,844] Trial 180 finished with value: 10.022809360818055 and parameters: {'x': 1.8937739918677239, 'y': 3.353392061020511}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,845] Trial 181 finished with value: 8.665501391018337 and parameters: {'x': 1.9430207704425881, 'y': 3.1412220082989495}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,846] Trial 182 finished with value: 10.499929595705158 and parameters: {'x': 1.6045313764477873, 'y': 3.3928183933266634}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,849] Trial 183 finished with value: 9.054465657737579 and parameters: {'x': 3.177504629624753, 'y': 1.881574039728204}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,850] Trial 184 finished with value: 3.241811376658486 and parameters: {'x': 0.5532265700325287, 'y': 0.061759306737271036}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,851] Trial 185 finished with value: 7.4816312909029214 and parameters: {'x': 2.24354351082847, 'y': 0.7086458008507504}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,852] Trial 186 finished with value: 8.508435442027885 and parameters: {'x': 2.8176162725062777, 'y': 0.3911023288613231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,853] Trial 187 finished with value: 4.003956371062326 and parameters: {'x': 0.857305088806247, 'y': 0.31075294610825965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,854] Trial 188 finished with value: 9.062669397549 and parameters: {'x': 2.5195873392164465, 'y': 2.027339028317335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,855] Trial 189 finished with value: 12.30418779730045 and parameters: {'x': 3.5218480070541975, 'y': 3.885144033046055}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,856] Trial 190 finished with value: 8.009208681763505 and parameters: {'x': 0.7113367701524909, 'y': 2.3745769144946838}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,857] Trial 191 finished with value: 12.315806722956946 and parameters: {'x': 3.5396118541352206, 'y': 3.879451669911221}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,858] Trial 192 finished with value: 10.020296150989592 and parameters: {'x': 3.469458015012512, 'y': 1.1690347203106715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,858] Trial 193 finished with value: 10.537264287309405 and parameters: {'x': 3.5770634585862493, 'y': 1.3211248037407284}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,859] Trial 194 finished with value: 10.289151352354983 and parameters: {'x': 2.569659832403738, 'y': 2.8024819222942092}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,860] Trial 195 finished with value: 3.731060228910131 and parameters: {'x': 0.24760921660013002, 'y': 0.5521423661189173}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,861] Trial 196 finished with value: 5.9435690466674735 and parameters: {'x': 1.3769545180557197, 'y': 0.7936675641809834}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,862] Trial 197 finished with value: 9.743775215528842 and parameters: {'x': 0.12280025833501451, 'y': 3.6135186276359184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,863] Trial 198 finished with value: 5.873860931591558 and parameters: {'x': 1.0968336994868557, 'y': 2.0440842501161494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,864] Trial 199 finished with value: 10.709851532989827 and parameters: {'x': 1.4035187216015639, 'y': 3.6233773243557295}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,865] Trial 200 finished with value: 9.954064110925012 and parameters: {'x': 3.726106479619608, 'y': 1.1507434606307019}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,866] Trial 201 finished with value: 9.176752015086375 and parameters: {'x': 2.9657694175449376, 'y': 1.6248824147200915}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,870] Trial 202 finished with value: 8.145954329559796 and parameters: {'x': 1.0228360176486495, 'y': 2.5618407253423037}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,871] Trial 203 finished with value: 6.436303642075089 and parameters: {'x': 0.1490956988241905, 'y': 2.189578164919726}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,873] Trial 204 finished with value: 11.111376943310047 and parameters: {'x': 3.8600995766607973, 'y': 2.749935443832355}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,873] Trial 205 finished with value: 9.129251992511671 and parameters: {'x': 1.1056290533154534, 'y': 3.962676922705223}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,874] Trial 206 finished with value: 8.370841149672748 and parameters: {'x': 3.239100750458276, 'y': 0.022500014848797267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,875] Trial 207 finished with value: 9.291509527012558 and parameters: {'x': 3.00568373091447, 'y': 3.0819509181231135}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,876] Trial 208 finished with value: 9.526550833010017 and parameters: {'x': 1.6196305250074117, 'y': 3.1125193232568216}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,877] Trial 209 finished with value: 9.615589923726578 and parameters: {'x': 3.267739114462778, 'y': 0.5385583215982779}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,878] Trial 210 finished with value: 9.531798143488427 and parameters: {'x': 0.25581569974990925, 'y': 3.3448825637277912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,879] Trial 211 finished with value: 8.604070357784977 and parameters: {'x': 0.46414482840332383, 'y': 2.832521354655352}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,879] Trial 212 finished with value: 10.38897582976456 and parameters: {'x': 1.8211110188726547, 'y': 3.7486718651916884}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,880] Trial 213 finished with value: 6.661796469044116 and parameters: {'x': 1.9281477756028131, 'y': 1.926628295959115}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,881] Trial 214 finished with value: 9.292910051092164 and parameters: {'x': 2.7294285878695597, 'y': 1.5245259127637056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,882] Trial 215 finished with value: 11.474812810352063 and parameters: {'x': 2.545072973407813, 'y': 3.482446850845249}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,883] Trial 216 finished with value: 5.7436489654843506 and parameters: {'x': 1.495433610786303, 'y': 0.15421009122365392}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,884] Trial 217 finished with value: 9.730716734806999 and parameters: {'x': 1.0030835880141065, 'y': 3.480006126880088}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,884] Trial 218 finished with value: 10.264000182790559 and parameters: {'x': 2.564834864793566, 'y': 2.484511186533039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,885] Trial 219 finished with value: 9.603307511303695 and parameters: {'x': 1.3610131034034234, 'y': 3.1908647326982806}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,886] Trial 220 finished with value: 4.369001281478198 and parameters: {'x': 1.188627464139461, 'y': 0.18369767028726258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,887] Trial 221 finished with value: 9.76991966254143 and parameters: {'x': 3.8988662451422833, 'y': 0.7602578472113932}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,888] Trial 222 finished with value: 7.137655618781169 and parameters: {'x': 0.8347420348689671, 'y': 2.2420510780813876}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,889] Trial 223 finished with value: 8.91040625724673 and parameters: {'x': 1.359216232474024, 'y': 2.9027621524655793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,890] Trial 224 finished with value: 11.368714852239679 and parameters: {'x': 2.6445670042252885, 'y': 3.876078195544568}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,890] Trial 225 finished with value: 10.370157440060499 and parameters: {'x': 3.388476359892063, 'y': 1.7522052503971564}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,891] Trial 226 finished with value: 11.459382868502663 and parameters: {'x': 3.4584850215221827, 'y': 2.5951719092807926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,892] Trial 227 finished with value: 10.992736541581595 and parameters: {'x': 2.7749761828694957, 'y': 3.8717898238860258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,893] Trial 228 finished with value: 7.960140413458749 and parameters: {'x': 0.9736103991275695, 'y': 3.148002172690902}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,894] Trial 229 finished with value: 10.377944264894046 and parameters: {'x': 2.5711654315986396, 'y': 2.664355196945022}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,895] Trial 230 finished with value: 6.558542754486279 and parameters: {'x': 1.617684226621781, 'y': 0.5009300791074658}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,895] Trial 231 finished with value: 9.801280921370413 and parameters: {'x': 3.348864026127328, 'y': 0.6625226793267869}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,896] Trial 232 finished with value: 9.167661545649594 and parameters: {'x': 2.481063154756097, 'y': 2.0968547757011087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,898] Trial 233 finished with value: 6.150568677473988 and parameters: {'x': 1.4320715535757742, 'y': 0.45112212163791376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,898] Trial 234 finished with value: 10.36635285952934 and parameters: {'x': 2.6644869443995005, 'y': 2.6897335048134448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,899] Trial 235 finished with value: 7.531591242768647 and parameters: {'x': 3.0831372403659976, 'y': 1.0036575398106162}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,900] Trial 236 finished with value: 10.035422239052489 and parameters: {'x': 3.5198774303521683, 'y': 1.1425514372805075}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,901] Trial 237 finished with value: 9.747190810113583 and parameters: {'x': 2.78954877508854, 'y': 2.2980258422520596}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,902] Trial 238 finished with value: 6.647193961090235 and parameters: {'x': 1.5618737305507815, 'y': 1.1428627402717866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,903] Trial 239 finished with value: 8.357914032300853 and parameters: {'x': 0.7818357971652818, 'y': 2.6659101963759047}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,905] Trial 240 finished with value: 9.656882953625262 and parameters: {'x': 3.2838729239453666, 'y': 1.2518782671452753}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,905] Trial 241 finished with value: 4.838606650477356 and parameters: {'x': 1.127651816024295, 'y': 0.7335738505655183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,906] Trial 242 finished with value: 12.064321613162095 and parameters: {'x': 3.3862929216823847, 'y': 3.8922095982680984}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,907] Trial 243 finished with value: 5.822931001256965 and parameters: {'x': 0.843687297412858, 'y': 1.9968974725397945}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,908] Trial 244 finished with value: 8.866855790726733 and parameters: {'x': 1.791902197140785, 'y': 2.4009084063607844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,909] Trial 245 finished with value: 6.557772166801325 and parameters: {'x': 1.9511937840850044, 'y': 1.2280913997344816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,910] Trial 246 finished with value: 9.787312354764817 and parameters: {'x': 3.3850961812501184, 'y': 1.1683630635558386}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,911] Trial 247 finished with value: 8.742829301568904 and parameters: {'x': 1.290558108097346, 'y': 2.4965225650679197}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,912] Trial 248 finished with value: 5.447490691876528 and parameters: {'x': 1.2059451471107838, 'y': 1.1624171543365662}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,912] Trial 249 finished with value: 9.027061550566758 and parameters: {'x': 1.9721500708771305, 'y': 2.5821701263026706}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,913] Trial 250 finished with value: 8.370883952152802 and parameters: {'x': 2.0538727135449584, 'y': 3.0770091803969715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,914] Trial 251 finished with value: 6.1153726013671275 and parameters: {'x': 0.8027764524925125, 'y': 2.032544886977046}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,915] Trial 252 finished with value: 10.426201145618794 and parameters: {'x': 3.530000655936235, 'y': 1.9646909371038488}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,916] Trial 253 finished with value: 11.504352063246044 and parameters: {'x': 3.816490922242502, 'y': 2.574605945133567}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,917] Trial 254 finished with value: 3.6130679732594935 and parameters: {'x': 0.23439520071222253, 'y': 0.9496283244843569}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,918] Trial 255 finished with value: 8.960956292931078 and parameters: {'x': 2.429179382846859, 'y': 2.0614389779376254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,919] Trial 256 finished with value: 7.364789420958257 and parameters: {'x': 3.035093792038067, 'y': 0.9398447121883335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,920] Trial 257 finished with value: 9.673715570709936 and parameters: {'x': 3.1085749997602905, 'y': 3.082467370803549}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,920] Trial 258 finished with value: 9.00033912597185 and parameters: {'x': 1.7433926655885386, 'y': 2.815818892405104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,921] Trial 259 finished with value: 11.24134202520955 and parameters: {'x': 3.830897877980727, 'y': 3.1785503483468083}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,922] Trial 260 finished with value: 9.610231355415435 and parameters: {'x': 0.43688167234642616, 'y': 3.277646712875464}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,923] Trial 261 finished with value: 8.21666138796502 and parameters: {'x': 2.542123575455598, 'y': 0.2751187058016402}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,924] Trial 262 finished with value: 10.75947517839813 and parameters: {'x': 1.5247058737186108, 'y': 3.968763572725166}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,925] Trial 263 finished with value: 9.476301269444532 and parameters: {'x': 3.410888705095577, 'y': 0.13987760450072928}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,925] Trial 264 finished with value: 8.128276506902818 and parameters: {'x': 0.9167791726823133, 'y': 2.5520365155606983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,926] Trial 265 finished with value: 5.660390527847323 and parameters: {'x': 0.13316563567089323, 'y': 1.7738623850744313}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,927] Trial 266 finished with value: 10.03745409879572 and parameters: {'x': 2.4562187521087386, 'y': 2.419717111405486}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,928] Trial 267 finished with value: 10.560729471075781 and parameters: {'x': 3.5383932628189894, 'y': 2.0750260479642955}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,929] Trial 268 finished with value: 6.911335606142488 and parameters: {'x': 1.8383476485245498, 'y': 1.269369919672592}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,930] Trial 269 finished with value: 6.263776883229383 and parameters: {'x': 1.8146924690185848, 'y': 0.7771183396725552}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,931] Trial 270 finished with value: 3.192283264509687 and parameters: {'x': 0.5438691082990537, 'y': 0.03168737130430621}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,932] Trial 271 finished with value: 9.25236139200286 and parameters: {'x': 1.163392218103672, 'y': 3.268717065064702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,932] Trial 272 finished with value: 7.615378153862055 and parameters: {'x': 0.11342996964423246, 'y': 2.781838540120356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,933] Trial 273 finished with value: 12.083086480354083 and parameters: {'x': 3.718917140075738, 'y': 3.3135414546878836}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,934] Trial 274 finished with value: 8.673172499161506 and parameters: {'x': 2.7587041874302267, 'y': 2.001624771327751}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,935] Trial 275 finished with value: 8.175856457154929 and parameters: {'x': 2.262024392522807, 'y': 2.048018787543821}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,936] Trial 276 finished with value: 6.027361661814201 and parameters: {'x': 1.1483245406422165, 'y': 1.9641797906360914}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,937] Trial 277 finished with value: 10.26132967547642 and parameters: {'x': 1.2170697034940483, 'y': 3.6809586684084397}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,938] Trial 278 finished with value: 6.584369196688137 and parameters: {'x': 1.4804530139174736, 'y': 1.1573874484627762}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,939] Trial 279 finished with value: 8.199773560716626 and parameters: {'x': 2.2385982079618105, 'y': 1.7941482446178587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,939] Trial 280 finished with value: 8.719226999352626 and parameters: {'x': 2.330905924819994, 'y': 1.7269819988722892}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,940] Trial 281 finished with value: 7.9595970366033875 and parameters: {'x': 2.5626694586361602, 'y': 0.14912568287478267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,941] Trial 282 finished with value: 11.329548540338816 and parameters: {'x': 3.431748611790516, 'y': 2.4684755464465375}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,942] Trial 283 finished with value: 5.9275598315386375 and parameters: {'x': 2.092801441089609, 'y': 1.0540812353681415}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,943] Trial 284 finished with value: 7.6442036867422924 and parameters: {'x': 2.1315161168892627, 'y': 1.342052211185913}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,944] Trial 285 finished with value: 5.336605414006623 and parameters: {'x': 1.2293885830337024, 'y': 0.39436061033300085}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,944] Trial 286 finished with value: 8.748815175839605 and parameters: {'x': 1.5092662387537024, 'y': 2.33469150262076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,945] Trial 287 finished with value: 10.33057890967017 and parameters: {'x': 3.8696424603175674, 'y': 1.7529400600215008}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,946] Trial 288 finished with value: 8.919797455084531 and parameters: {'x': 2.736416794176971, 'y': 2.0760583880204533}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,948] Trial 289 finished with value: 4.441157898677751 and parameters: {'x': 0.6958328287107154, 'y': 0.470775876927795}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,948] Trial 290 finished with value: 3.900552561783101 and parameters: {'x': 0.5199313793034581, 'y': 0.32732432513248844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,949] Trial 291 finished with value: 8.4180528356603 and parameters: {'x': 0.7484945528039133, 'y': 2.6092566567467186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,950] Trial 292 finished with value: 5.13151636527822 and parameters: {'x': 1.2725579972339172, 'y': 0.24811942487439165}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,951] Trial 293 finished with value: 9.467588278822692 and parameters: {'x': 2.8308688610430583, 'y': 3.0095214839284186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,952] Trial 294 finished with value: 11.40932682166175 and parameters: {'x': 3.5016671059800655, 'y': 3.068332225841167}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,953] Trial 295 finished with value: 11.661897145446092 and parameters: {'x': 3.4223465922726612, 'y': 3.2012730241498057}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,954] Trial 296 finished with value: 9.123309357405901 and parameters: {'x': 2.732092776659147, 'y': 2.127504908381725}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,955] Trial 297 finished with value: 9.58492096234577 and parameters: {'x': 2.812843939728247, 'y': 2.910435060816296}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,956] Trial 298 finished with value: 9.565362051884232 and parameters: {'x': 3.130495435347729, 'y': 2.9985457513559854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,957] Trial 299 finished with value: 7.688521848293625 and parameters: {'x': 2.3808104012848714, 'y': 0.9405175456205148}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,958] Trial 300 finished with value: 9.268401643125605 and parameters: {'x': 2.660731982373358, 'y': 1.6961501616917607}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,959] Trial 301 finished with value: 11.756809498893748 and parameters: {'x': 3.5227386286659543, 'y': 3.1848834998657916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,960] Trial 302 finished with value: 9.282918995429277 and parameters: {'x': 1.600901891232203, 'y': 2.7736174889703293}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,961] Trial 303 finished with value: 7.659822694499102 and parameters: {'x': 2.3514385867290546, 'y': 0.8604323469568076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,961] Trial 304 finished with value: 10.947484710652777 and parameters: {'x': 3.32130714864281, 'y': 3.0857173995915015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,962] Trial 305 finished with value: 9.941649002120565 and parameters: {'x': 3.4685901543950464, 'y': 0.7841745036496555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,963] Trial 306 finished with value: 6.27356836019511 and parameters: {'x': 0.9345120049722722, 'y': 1.5947313886006702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,964] Trial 307 finished with value: 11.83364009119155 and parameters: {'x': 3.753370456866888, 'y': 3.9573484830875594}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,965] Trial 308 finished with value: 11.087232620133545 and parameters: {'x': 2.279350606371401, 'y': 3.7268743041396815}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,966] Trial 309 finished with value: 9.951975997023917 and parameters: {'x': 1.2403215035040316, 'y': 3.907655524302301}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,967] Trial 310 finished with value: 7.450686198128425 and parameters: {'x': 1.4513014117435676, 'y': 1.4980418365942643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,968] Trial 311 finished with value: 8.217850926127987 and parameters: {'x': 2.4311030505177547, 'y': 0.6706713636599648}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,969] Trial 312 finished with value: 12.406694735290257 and parameters: {'x': 3.445533620110704, 'y': 3.6864830191075653}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,970] Trial 313 finished with value: 8.355448839522436 and parameters: {'x': 2.4767818245907787, 'y': 0.4945173522551629}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,970] Trial 314 finished with value: 6.283579650025068 and parameters: {'x': 1.7752592462908199, 'y': 0.7951081388275099}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,971] Trial 315 finished with value: 8.632220504465216 and parameters: {'x': 0.5643025059386781, 'y': 2.684344565673266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,972] Trial 316 finished with value: 6.173476799859856 and parameters: {'x': 0.9955169767369765, 'y': 1.479993490627923}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,973] Trial 317 finished with value: 10.075216693479428 and parameters: {'x': 1.3868514166713086, 'y': 3.2996527689371966}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,974] Trial 318 finished with value: 9.83265703053972 and parameters: {'x': 3.366594797411336, 'y': 0.37837696063200044}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,975] Trial 319 finished with value: 5.7641899377365355 and parameters: {'x': 1.0936157216969309, 'y': 2.0154939269359304}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,976] Trial 320 finished with value: 8.039049361310239 and parameters: {'x': 3.17926984150359, 'y': 0.0792946855486929}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,976] Trial 321 finished with value: 6.374372677227711 and parameters: {'x': 2.1576817063632108, 'y': 0.1816974223108332}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,977] Trial 322 finished with value: 10.692914630859786 and parameters: {'x': 2.191060676892676, 'y': 3.7523333591725074}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,978] Trial 323 finished with value: 4.272621529228328 and parameters: {'x': 0.5120655829592051, 'y': 0.49862800124716555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,979] Trial 324 finished with value: 5.667686004248164 and parameters: {'x': 1.974151489946808, 'y': 1.0873543411469573}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,980] Trial 325 finished with value: 3.14911825941741 and parameters: {'x': 0.05384257085487931, 'y': 0.5119500254322102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,981] Trial 326 finished with value: 11.430558534518452 and parameters: {'x': 3.167994699715818, 'y': 3.7564746079924434}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,982] Trial 327 finished with value: 9.519234463129628 and parameters: {'x': 3.922791270118661, 'y': 1.9209613389345819}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,983] Trial 328 finished with value: 8.54792782659565 and parameters: {'x': 0.6676983242757633, 'y': 2.7206798714034965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,984] Trial 329 finished with value: 10.343957494971903 and parameters: {'x': 3.796174706674506, 'y': 1.7961720398228866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,985] Trial 330 finished with value: 7.393260976478766 and parameters: {'x': 0.9303477639875446, 'y': 2.8881061672077695}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,985] Trial 331 finished with value: 4.168211622506824 and parameters: {'x': 0.568033427516911, 'y': 0.40076474146192886}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,986] Trial 332 finished with value: 8.352151380568776 and parameters: {'x': 2.5248892794224953, 'y': 0.37669484776274276}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,987] Trial 333 finished with value: 10.372212386228597 and parameters: {'x': 0.5486382147448605, 'y': 3.8023016805571226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,988] Trial 334 finished with value: 11.465116931323431 and parameters: {'x': 2.5549011493678657, 'y': 3.9985995148160476}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,989] Trial 335 finished with value: 7.533651547982446 and parameters: {'x': 3.1122260433973805, 'y': 0.06789981521679245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,990] Trial 336 finished with value: 4.518450949546146 and parameters: {'x': 0.8319125264768537, 'y': 0.5088830882153448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,991] Trial 337 finished with value: 11.187215237484192 and parameters: {'x': 2.2890048592452192, 'y': 3.637230987841597}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,992] Trial 338 finished with value: 10.631217468377777 and parameters: {'x': 3.212460725698297, 'y': 3.151238069716407}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,993] Trial 339 finished with value: 7.915541564276795 and parameters: {'x': 2.74287845774048, 'y': 0.9216415115955656}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,994] Trial 340 finished with value: 9.673978866468232 and parameters: {'x': 3.7908591198317727, 'y': 0.1932091267248519}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,994] Trial 341 finished with value: 5.40304171497252 and parameters: {'x': 0.954423029584103, 'y': 1.969828102065398}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,995] Trial 342 finished with value: 12.042616210694453 and parameters: {'x': 3.3733840526910974, 'y': 3.376876997921342}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,996] Trial 343 finished with value: 8.785656690828066 and parameters: {'x': 0.5127988159592372, 'y': 3.034373595835823}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,997] Trial 344 finished with value: 8.058158484803876 and parameters: {'x': 1.1635372808096633, 'y': 3.0573367491756858}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,998] Trial 345 finished with value: 10.362114273889164 and parameters: {'x': 3.347100872005856, 'y': 1.5076593906340912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,999] Trial 346 finished with value: 11.392777604957166 and parameters: {'x': 2.7909279129092934, 'y': 3.6798647776849185}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,000] Trial 347 finished with value: 8.257572560266517 and parameters: {'x': 1.8747106902665256, 'y': 2.9264405129485396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,001] Trial 348 finished with value: 1.191533546628932 and parameters: {'x': 0.04098816215805545, 'y': 0.17575252540152997}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,002] Trial 349 finished with value: 6.528414693370539 and parameters: {'x': 2.0986759869413723, 'y': 1.1635260998377377}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,003] Trial 350 finished with value: 4.578848126507644 and parameters: {'x': 0.7850809443858684, 'y': 0.5846514384255186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,003] Trial 351 finished with value: 4.717440335628027 and parameters: {'x': 1.0561713549229714, 'y': 1.1750808591313686}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,004] Trial 352 finished with value: 8.62433938989944 and parameters: {'x': 2.914436298305064, 'y': 0.5192348455391631}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,005] Trial 353 finished with value: 8.28157910362034 and parameters: {'x': 2.515171096976729, 'y': 0.7715967853955292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,006] Trial 354 finished with value: 8.031780167962317 and parameters: {'x': 2.499557269956178, 'y': 0.2222792532667559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,007] Trial 355 finished with value: 9.137449237447111 and parameters: {'x': 1.677582622614922, 'y': 3.023643543029472}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,008] Trial 356 finished with value: 9.799768279881432 and parameters: {'x': 0.9309103481609493, 'y': 3.653612348612905}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,009] Trial 357 finished with value: 9.14726937689981 and parameters: {'x': 0.9114826668177916, 'y': 3.8759524431225048}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,010] Trial 358 finished with value: 8.644835094085106 and parameters: {'x': 1.2588950259545113, 'y': 2.48788875134704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,011] Trial 359 finished with value: 9.053231827241326 and parameters: {'x': 0.5869817235510006, 'y': 3.130377458831803}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,012] Trial 360 finished with value: 3.411285954506919 and parameters: {'x': 0.7050586121580449, 'y': 0.12680082581006102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,012] Trial 361 finished with value: 6.447468025493851 and parameters: {'x': 1.4220967532913322, 'y': 1.1594983078421475}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,013] Trial 362 finished with value: 9.813601898285599 and parameters: {'x': 3.685269522802166, 'y': 0.8893489297364794}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,014] Trial 363 finished with value: 8.104774870743212 and parameters: {'x': 2.532211234879781, 'y': 0.2291961280504231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,015] Trial 364 finished with value: 11.567426758994019 and parameters: {'x': 3.580392966262677, 'y': 2.534915475101615}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,016] Trial 365 finished with value: 6.430551183634282 and parameters: {'x': 1.8510739401287246, 'y': 0.36315241813681265}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,017] Trial 366 finished with value: 10.196750361368728 and parameters: {'x': 3.9286133392638902, 'y': 3.0065275678507266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,018] Trial 367 finished with value: 11.204693514709696 and parameters: {'x': 3.7055910447225733, 'y': 2.308877509177674}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,019] Trial 368 finished with value: 6.634120639228918 and parameters: {'x': 1.778248827954719, 'y': 0.47372214586660366}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,020] Trial 369 finished with value: 5.539252636912586 and parameters: {'x': 0.013568479012842527, 'y': 1.7195890827411842}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,021] Trial 370 finished with value: 5.976968207153636 and parameters: {'x': 1.7824860939905829, 'y': 0.9016025301978696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,022] Trial 371 finished with value: 5.264081263969686 and parameters: {'x': 1.2636779461519687, 'y': 1.0270311801286396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,022] Trial 372 finished with value: 9.719222267426572 and parameters: {'x': 1.0181424006401238, 'y': 3.686905356694062}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,023] Trial 373 finished with value: 9.17258988928529 and parameters: {'x': 3.0146465869507315, 'y': 1.4200477277472183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,024] Trial 374 finished with value: 10.448858271486321 and parameters: {'x': 1.9164062512120363, 'y': 3.610922045132941}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,025] Trial 375 finished with value: 8.29517954260463 and parameters: {'x': 3.0542344761550297, 'y': 0.7503530230121647}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,026] Trial 376 finished with value: 5.46022332083805 and parameters: {'x': 1.3498322891457715, 'y': 0.23519239497756717}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,027] Trial 377 finished with value: 10.31151529518906 and parameters: {'x': 1.232620618038632, 'y': 3.6810969767719772}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,028] Trial 378 finished with value: 9.620428111076176 and parameters: {'x': 0.05302978990486018, 'y': 3.5562617518764283}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,029] Trial 379 finished with value: 7.145067016910065 and parameters: {'x': 2.8704006458623246, 'y': 0.05856204340429816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,030] Trial 380 finished with value: 7.615509022271754 and parameters: {'x': 2.0298324622047974, 'y': 1.4358335026956333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,030] Trial 381 finished with value: 10.916095141366544 and parameters: {'x': 2.3697860126664643, 'y': 3.321808345274754}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,031] Trial 382 finished with value: 12.399401740420132 and parameters: {'x': 3.466580215969038, 'y': 3.519267049908465}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,032] Trial 383 finished with value: 12.44262680181242 and parameters: {'x': 3.7310071734911925, 'y': 3.6643780634045138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,033] Trial 384 finished with value: 9.142527082249929 and parameters: {'x': 2.882719416839632, 'y': 1.6461840523728104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,034] Trial 385 finished with value: 9.239754233553501 and parameters: {'x': 2.5759608140989747, 'y': 1.5391631459672297}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,035] Trial 386 finished with value: 6.284598645056207 and parameters: {'x': 0.8702285303132826, 'y': 1.672129456953738}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,036] Trial 387 finished with value: 10.152804966108985 and parameters: {'x': 3.6934629366226015, 'y': 0.744845969281184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,036] Trial 388 finished with value: 3.389312682331248 and parameters: {'x': 0.053694591129884284, 'y': 1.1261876829075792}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,037] Trial 389 finished with value: 10.283447623535013 and parameters: {'x': 3.2388795618896027, 'y': 2.974622653487798}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,038] Trial 390 finished with value: 11.302617455565434 and parameters: {'x': 3.515598201960283, 'y': 2.908952204458161}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,039] Trial 391 finished with value: 11.125939966673439 and parameters: {'x': 2.4941310914546113, 'y': 3.325759234467637}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,040] Trial 392 finished with value: 10.816812218801022 and parameters: {'x': 2.4885158267517737, 'y': 3.224158476295799}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,041] Trial 393 finished with value: 10.050727622585395 and parameters: {'x': 1.2107379893350432, 'y': 3.4332492569334763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,042] Trial 394 finished with value: 5.95575827799291 and parameters: {'x': 0.6692460786760335, 'y': 1.3454235380425494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,043] Trial 395 finished with value: 8.903415776483602 and parameters: {'x': 1.006126472829457, 'y': 3.279586119031793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,043] Trial 396 finished with value: 4.547039657651432 and parameters: {'x': 0.7650725322320575, 'y': 0.5336811286061329}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,044] Trial 397 finished with value: 7.646434899367684 and parameters: {'x': 1.5191921106060464, 'y': 1.9600495063208347}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,045] Trial 398 finished with value: 8.23501821441278 and parameters: {'x': 2.464469780852896, 'y': 0.7313268391281604}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,046] Trial 399 finished with value: 8.78323456105996 and parameters: {'x': 2.3595946161420396, 'y': 1.4770688236450096}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,047] Trial 400 finished with value: 11.07950687309173 and parameters: {'x': 2.7633452013271462, 'y': 3.8532351310288586}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,048] Trial 401 finished with value: 9.011181143989141 and parameters: {'x': 0.655696041444696, 'y': 3.149145726131916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,049] Trial 402 finished with value: 0.21108155708882137 and parameters: {'x': 0.025106650762250826, 'y': 0.044143703865536565}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,050] Trial 403 finished with value: 4.526352639294384 and parameters: {'x': 0.6040185419770716, 'y': 0.5878079950089186}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,050] Trial 404 finished with value: 10.340964653977816 and parameters: {'x': 3.922897219307625, 'y': 0.49698547657353664}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,051] Trial 405 finished with value: 11.540325958618682 and parameters: {'x': 2.71638072852915, 'y': 3.569585834030987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,052] Trial 406 finished with value: 6.933258476365397 and parameters: {'x': 2.959069099663764, 'y': 0.04356363809009567}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,053] Trial 407 finished with value: 10.254178574604502 and parameters: {'x': 2.6298707108398554, 'y': 2.4547503705112566}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,054] Trial 408 finished with value: 10.405598398037926 and parameters: {'x': 1.7389756543820347, 'y': 3.3948028236020438}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,055] Trial 409 finished with value: 10.05170557739612 and parameters: {'x': 2.1334557265352014, 'y': 3.868058156883832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,056] Trial 410 finished with value: 7.887839083942328 and parameters: {'x': 1.6287170896550038, 'y': 2.0897524947265884}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,056] Trial 411 finished with value: 10.097956892334187 and parameters: {'x': 0.26943310227075745, 'y': 3.6493057219845557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,057] Trial 412 finished with value: 12.397487232313319 and parameters: {'x': 3.6728053515894983, 'y': 3.7555399684970867}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,059] Trial 413 finished with value: 7.7502659636836295 and parameters: {'x': 2.1963460321873667, 'y': 1.8724424201058856}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,060] Trial 414 finished with value: 12.241300305489641 and parameters: {'x': 3.4785432697512286, 'y': 3.923978720743307}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,061] Trial 415 finished with value: 9.624761197683 and parameters: {'x': 2.996713083928662, 'y': 2.3080426422065425}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,062] Trial 416 finished with value: 8.886410547926278 and parameters: {'x': 0.10292278890589968, 'y': 3.986448817996}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,063] Trial 417 finished with value: 12.100939315290324 and parameters: {'x': 3.771874453396725, 'y': 3.3433333766881055}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,064] Trial 418 finished with value: 9.49851289582427 and parameters: {'x': 1.3519286769698113, 'y': 3.172081894155109}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,066] Trial 419 finished with value: 8.485090347805786 and parameters: {'x': 2.7821019543892733, 'y': 0.3698217566305906}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,067] Trial 420 finished with value: 7.063063066010319 and parameters: {'x': 0.5229450172512125, 'y': 2.09602817646162}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,068] Trial 421 finished with value: 7.590651626257822 and parameters: {'x': 2.280842459714937, 'y': 1.1567589240790626}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,069] Trial 422 finished with value: 10.344647702828512 and parameters: {'x': 3.8273839653448762, 'y': 0.5691294933683881}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,070] Trial 423 finished with value: 8.547161960427571 and parameters: {'x': 1.2455727745592617, 'y': 2.4579433723422466}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,073] Trial 424 finished with value: 2.526398416087993 and parameters: {'x': 0.346073360573548, 'y': 0.07793340180577557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,073] Trial 425 finished with value: 10.148507008831835 and parameters: {'x': 3.999959224017629, 'y': 2.1755982994371954}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,074] Trial 426 finished with value: 9.038592963824982 and parameters: {'x': 2.591949962224946, 'y': 1.9928356931176459}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,075] Trial 427 finished with value: 6.9931641066296955 and parameters: {'x': 2.236211904249122, 'y': 0.21387538672672113}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,076] Trial 428 finished with value: 9.134617235514785 and parameters: {'x': 3.158548992949356, 'y': 2.116827573324681}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,077] Trial 429 finished with value: 3.261339563420208 and parameters: {'x': 1.095888545241697, 'y': 0.08121109210178323}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,078] Trial 430 finished with value: 5.795248953033454 and parameters: {'x': 0.7365576458376459, 'y': 1.3205923166777298}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,080] Trial 431 finished with value: 12.252994876582656 and parameters: {'x': 3.9556281513375544, 'y': 3.599134727042208}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,083] Trial 432 finished with value: 9.50669025502117 and parameters: {'x': 2.2612986337706773, 'y': 2.8305818026196548}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,086] Trial 433 finished with value: 6.17155536225377 and parameters: {'x': 1.4535549443577427, 'y': 0.8061218372041883}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,087] Trial 434 finished with value: 7.330274947797166 and parameters: {'x': 2.998473426438397, 'y': 1.0577641880364999}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,088] Trial 435 finished with value: 8.234903033718643 and parameters: {'x': 2.6969037673592906, 'y': 1.1116266886879185}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,089] Trial 436 finished with value: 10.626381760856646 and parameters: {'x': 2.4911711112382458, 'y': 3.1667404829508645}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,090] Trial 437 finished with value: 6.508127609588357 and parameters: {'x': 1.7007902059654354, 'y': 0.39030525510783143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,091] Trial 438 finished with value: 9.044811275943646 and parameters: {'x': 1.7013920933763602, 'y': 2.858407769926415}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,092] Trial 439 finished with value: 9.008508877213199 and parameters: {'x': 3.041837585563343, 'y': 2.191445148488896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,092] Trial 440 finished with value: 11.905780093271849 and parameters: {'x': 3.226206925709196, 'y': 3.5904942026565596}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,093] Trial 441 finished with value: 9.93731915889512 and parameters: {'x': 3.349901621290708, 'y': 1.2592206426730508}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,094] Trial 442 finished with value: 8.975206970956329 and parameters: {'x': 2.1533551473851507, 'y': 2.3477216015918714}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,095] Trial 443 finished with value: 11.022339107405864 and parameters: {'x': 3.7218204317554098, 'y': 2.969339733446317}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,096] Trial 444 finished with value: 7.793452455376546 and parameters: {'x': 2.9749405864994456, 'y': 0.8144062904287135}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,097] Trial 445 finished with value: 5.3928498697735385 and parameters: {'x': 1.0023536798403767, 'y': 1.9609821375155065}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,098] Trial 446 finished with value: 8.44113147671768 and parameters: {'x': 0.578915866335016, 'y': 2.514276989395927}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,099] Trial 447 finished with value: 9.260996483941742 and parameters: {'x': 2.546649800269987, 'y': 2.103928080274987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,100] Trial 448 finished with value: 8.355894074982917 and parameters: {'x': 2.4916755111872475, 'y': 0.443576668606922}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,101] Trial 449 finished with value: 10.857185288969665 and parameters: {'x': 3.9927550695232834, 'y': 2.780052820739364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,102] Trial 450 finished with value: 9.6700383959976 and parameters: {'x': 3.372010239312165, 'y': 0.27511738674902375}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,103] Trial 451 finished with value: 9.626184795100908 and parameters: {'x': 0.7461085156314828, 'y': 3.337309217922648}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,104] Trial 452 finished with value: 9.649121603028515 and parameters: {'x': 2.789330472287906, 'y': 2.935068581388643}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,105] Trial 453 finished with value: 5.052213553206837 and parameters: {'x': 0.2620305670474905, 'y': 1.2484923925015976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,106] Trial 454 finished with value: 9.222251359304856 and parameters: {'x': 2.782626659345648, 'y': 1.4677608336129824}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,106] Trial 455 finished with value: 10.436945315860191 and parameters: {'x': 3.6936877337548544, 'y': 1.8510790107698516}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,107] Trial 456 finished with value: 4.962481628455059 and parameters: {'x': 0.4089812959284349, 'y': 1.1398111353619549}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,108] Trial 457 finished with value: 6.51230720914808 and parameters: {'x': 1.6231294294881788, 'y': 0.7295441233125257}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,109] Trial 458 finished with value: 10.56229721261589 and parameters: {'x': 1.650641190443264, 'y': 3.426933525709896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,110] Trial 459 finished with value: 9.653118757839884 and parameters: {'x': 2.61592306415803, 'y': 2.2206931869195916}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,111] Trial 460 finished with value: 10.67350425509411 and parameters: {'x': 1.7521963772660163, 'y': 3.558573523393536}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,112] Trial 461 finished with value: 8.708600936674987 and parameters: {'x': 1.9271105969994888, 'y': 2.393237861052923}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,113] Trial 462 finished with value: 3.7506086448421634 and parameters: {'x': 1.0494635736730475, 'y': 0.9584980735204098}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,114] Trial 463 finished with value: 9.598474512965854 and parameters: {'x': 0.03539959574504348, 'y': 3.6231365952220584}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,116] Trial 464 finished with value: 8.974946699354579 and parameters: {'x': 0.9809944954317862, 'y': 3.8863509276479857}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,117] Trial 465 finished with value: 7.772058988673429 and parameters: {'x': 1.0510947219993967, 'y': 3.1081610988411383}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,118] Trial 466 finished with value: 9.276000540651202 and parameters: {'x': 2.6260969953224196, 'y': 2.113940854424979}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,119] Trial 467 finished with value: 9.471032643776867 and parameters: {'x': 0.743259416089181, 'y': 3.2970146386381223}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,120] Trial 468 finished with value: 10.259476572914593 and parameters: {'x': 3.8217833488349022, 'y': 0.6361069051358492}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,121] Trial 469 finished with value: 6.457099650100211 and parameters: {'x': 0.7645348847707507, 'y': 1.6984123902533894}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,121] Trial 470 finished with value: 2.063085021632414 and parameters: {'x': 0.19769269071737483, 'y': 0.18945631103221228}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,122] Trial 471 finished with value: 4.207855684959583 and parameters: {'x': 0.40157342389645523, 'y': 0.594188019456364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,123] Trial 472 finished with value: 4.146218703746907 and parameters: {'x': 0.3423750083190007, 'y': 0.8019459319131306}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,124] Trial 473 finished with value: 10.01353546655346 and parameters: {'x': 2.5958179050471477, 'y': 2.341003534870675}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,125] Trial 474 finished with value: 9.569395460866058 and parameters: {'x': 1.510089205063304, 'y': 3.1127636951494377}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,126] Trial 475 finished with value: 6.283597376683087 and parameters: {'x': 0.7360855719356194, 'y': 1.9490968776301902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,127] Trial 476 finished with value: 7.869681957805096 and parameters: {'x': 0.9096106796882286, 'y': 2.764915570387479}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,128] Trial 477 finished with value: 11.192095977398395 and parameters: {'x': 2.8037299655192665, 'y': 3.7620631677983236}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,129] Trial 478 finished with value: 4.427443669547809 and parameters: {'x': 0.6591004528098448, 'y': 0.47741899872377846}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,130] Trial 479 finished with value: 10.354234141119697 and parameters: {'x': 3.7934581813527313, 'y': 0.44935790813022347}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,130] Trial 480 finished with value: 11.472892968979941 and parameters: {'x': 3.6969090560602127, 'y': 3.1385155822785213}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,131] Trial 481 finished with value: 9.575248257035602 and parameters: {'x': 0.7423717629231437, 'y': 3.3220258703289143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,132] Trial 482 finished with value: 6.708094948839129 and parameters: {'x': 0.11392226349831924, 'y': 2.248702684925605}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,133] Trial 483 finished with value: 7.512671613029504 and parameters: {'x': 1.6545076524482751, 'y': 1.4079545649809178}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,134] Trial 484 finished with value: 9.225371873776844 and parameters: {'x': 3.1197440455956627, 'y': 1.7480286992791503}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,135] Trial 485 finished with value: 8.644775582144975 and parameters: {'x': 3.277433870074068, 'y': 0.03762725050179805}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,136] Trial 486 finished with value: 9.34806610224668 and parameters: {'x': 2.130809674433918, 'y': 2.559396381704046}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,137] Trial 487 finished with value: 10.235510313932078 and parameters: {'x': 1.3029296167223055, 'y': 3.4136852817415533}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,138] Trial 488 finished with value: 8.505807953242515 and parameters: {'x': 2.715452161679803, 'y': 0.6948465727890976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,139] Trial 489 finished with value: 5.927707311877974 and parameters: {'x': 1.3414850400325458, 'y': 0.5075975702630036}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,139] Trial 490 finished with value: 11.103488669840118 and parameters: {'x': 2.319494070977358, 'y': 3.4488429902385724}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,140] Trial 491 finished with value: 10.355196985609664 and parameters: {'x': 3.96479539855673, 'y': 2.2110810986202902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,141] Trial 492 finished with value: 8.829678564856053 and parameters: {'x': 0.17281094473408487, 'y': 3.2493371853435034}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,142] Trial 493 finished with value: 6.7152972835150315 and parameters: {'x': 2.0030516525284563, 'y': 0.6144779672961334}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,143] Trial 494 finished with value: 8.83428182278424 and parameters: {'x': 0.4728307107402876, 'y': 3.058814201887216}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,144] Trial 495 finished with value: 4.5846587937858025 and parameters: {'x': 0.18319816044558834, 'y': 1.2216716397362832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,145] Trial 496 finished with value: 11.24437461300541 and parameters: {'x': 3.3709738172649604, 'y': 2.5037428477898285}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,146] Trial 497 finished with value: 10.611654875736399 and parameters: {'x': 2.1195657505770105, 'y': 3.6646007700484367}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,147] Trial 498 finished with value: 6.9973027578278995 and parameters: {'x': 1.9878017516227215, 'y': 1.8250387245599597}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,148] Trial 499 finished with value: 9.515740035109893 and parameters: {'x': 3.78782724739539, 'y': 0.15184831525247633}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,148] A new study created in memory with name: x=[1,3), y=[1,3)\n[I 2023-11-01 05:28:29,149] Trial 0 finished with value: 9.501280285096856 and parameters: {'x': 2.1795551304711878, 'y': 2.5469138645456475}. Best is trial 0 with value: 9.501280285096856.\n[I 2023-11-01 05:28:29,150] Trial 1 finished with value: 7.689690058529395 and parameters: {'x': 2.116941820323029, 'y': 1.3704460118285542}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:28:29,151] Trial 2 finished with value: 8.869154016661145 and parameters: {'x': 1.734893579523559, 'y': 2.3800301262465355}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:28:29,152] Trial 3 finished with value: 9.217083724375263 and parameters: {'x': 2.5463037482718427, 'y': 1.698250749178961}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:28:29,153] Trial 4 finished with value: 6.620326818681299 and parameters: {'x': 1.3418267714049732, 'y': 1.2749591602362444}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:28:29,153] Trial 5 finished with value: 9.947604021051855 and parameters: {'x': 2.328190210719468, 'y': 2.542129917484096}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:28:29,154] Trial 6 finished with value: 10.111364306571687 and parameters: {'x': 2.992415863822332, 'y': 2.445973518335129}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:28:29,155] Trial 7 finished with value: 8.117689709113845 and parameters: {'x': 2.518112634863238, 'y': 1.0345349209545471}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:28:29,156] Trial 8 finished with value: 8.599980015079133 and parameters: {'x': 1.985150133883719, 'y': 2.361999061196193}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:28:29,157] Trial 9 finished with value: 6.466307419325002 and parameters: {'x': 1.0815335322750994, 'y': 1.6010550958884728}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:28:29,158] Trial 10 finished with value: 8.748658037765297 and parameters: {'x': 1.983065686509458, 'y': 2.4013248906189615}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:28:29,159] Trial 11 finished with value: 4.280422047649996 and parameters: {'x': 1.0053750515354973, 'y': 1.1344853944712368}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,159] Trial 12 finished with value: 7.631641045157027 and parameters: {'x': 1.5136532280501904, 'y': 1.5621179581261906}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,160] Trial 13 finished with value: 5.126684569001355 and parameters: {'x': 1.0943183618191, 'y': 1.2102968958712526}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,162] Trial 14 finished with value: 9.200375404047493 and parameters: {'x': 1.485146457738034, 'y': 2.9442744467689}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,162] Trial 15 finished with value: 9.496066674328905 and parameters: {'x': 2.9893985683076987, 'y': 2.285295712632221}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,163] Trial 16 finished with value: 9.20722421376879 and parameters: {'x': 2.888794756172593, 'y': 2.9479421929365683}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,164] Trial 17 finished with value: 9.820418190182155 and parameters: {'x': 2.7489324125385366, 'y': 2.929928470528349}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,165] Trial 18 finished with value: 7.68682424815664 and parameters: {'x': 1.7693477747355273, 'y': 1.6880511561059623}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,166] Trial 19 finished with value: 6.23361005262851 and parameters: {'x': 1.0278738361908484, 'y': 1.4858953052005117}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,167] Trial 20 finished with value: 8.183951521175912 and parameters: {'x': 2.191259277116293, 'y': 1.4515483770275646}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,167] Trial 21 finished with value: 8.387527249929715 and parameters: {'x': 2.317659241765322, 'y': 1.9236263660786883}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,168] Trial 22 finished with value: 7.28969285733878 and parameters: {'x': 1.7768688655704867, 'y': 1.3408983120046298}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,169] Trial 23 finished with value: 9.661281182879502 and parameters: {'x': 2.2434246133626727, 'y': 2.706378756341615}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,170] Trial 24 finished with value: 9.241054440156928 and parameters: {'x': 1.639685998678829, 'y': 2.550800978853915}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,171] Trial 25 finished with value: 9.492202191083631 and parameters: {'x': 2.8437203833277316, 'y': 2.8949435337203635}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,172] Trial 26 finished with value: 8.739874474944795 and parameters: {'x': 1.459781325603565, 'y': 2.351888773662857}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,172] Trial 27 finished with value: 8.973115982363957 and parameters: {'x': 1.6843967683601837, 'y': 2.4048917604855475}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,173] Trial 28 finished with value: 8.47252181314089 and parameters: {'x': 2.922716542694479, 'y': 1.2624815334953179}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,174] Trial 29 finished with value: 7.849748665716774 and parameters: {'x': 2.0648190920986487, 'y': 1.5820191742716103}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,175] Trial 30 finished with value: 7.225452638805441 and parameters: {'x': 1.3323600161247302, 'y': 2.0169392602346585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,176] Trial 31 finished with value: 8.497265009934077 and parameters: {'x': 1.1907150947448137, 'y': 2.711658305757213}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,178] Trial 32 finished with value: 5.58563603594332 and parameters: {'x': 1.164753074337394, 'y': 1.226778345604655}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,179] Trial 33 finished with value: 7.513168780303209 and parameters: {'x': 1.438771558179375, 'y': 1.8561933890452214}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,179] Trial 34 finished with value: 10.036185032484997 and parameters: {'x': 2.7588346246330424, 'y': 2.8045362579158644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,180] Trial 35 finished with value: 9.725500430892048 and parameters: {'x': 2.248857539172614, 'y': 2.5451257493449897}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,181] Trial 36 finished with value: 9.303195937042831 and parameters: {'x': 2.6499797485839593, 'y': 2.129994395445907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,182] Trial 37 finished with value: 7.504659314912903 and parameters: {'x': 1.4170785888985076, 'y': 1.6023382914670337}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,183] Trial 38 finished with value: 7.594638748301016 and parameters: {'x': 1.8407705077703342, 'y': 1.4766582402639137}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,184] Trial 39 finished with value: 8.334347071558396 and parameters: {'x': 1.1195428355366783, 'y': 2.644368853359082}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,184] Trial 40 finished with value: 7.595379550393446 and parameters: {'x': 1.6520069020915964, 'y': 1.9757114648600385}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,185] Trial 41 finished with value: 8.914385594429811 and parameters: {'x': 1.6470517107976008, 'y': 2.376989100206301}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,186] Trial 42 finished with value: 7.0818112184634625 and parameters: {'x': 1.9628877719392275, 'y': 1.3183124993698585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,187] Trial 43 finished with value: 8.913268618568011 and parameters: {'x': 2.6933015848984994, 'y': 1.8982819389972656}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,188] Trial 44 finished with value: 6.274280378720249 and parameters: {'x': 1.0099471446301753, 'y': 1.527052381039326}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,189] Trial 45 finished with value: 5.204000585932636 and parameters: {'x': 1.216951047813766, 'y': 1.1013262039458973}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,190] Trial 46 finished with value: 9.741805624133733 and parameters: {'x': 2.5259678280944784, 'y': 2.259709570452115}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,190] Trial 47 finished with value: 6.296778616088442 and parameters: {'x': 1.5291890491860796, 'y': 1.0228639505783026}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,191] Trial 48 finished with value: 9.129572645190375 and parameters: {'x': 2.47957554253214, 'y': 1.581063419584534}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,192] Trial 49 finished with value: 10.03449672210819 and parameters: {'x': 2.4140777216988454, 'y': 2.8688241358588593}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,193] Trial 50 finished with value: 7.986420805613088 and parameters: {'x': 1.5869407958655537, 'y': 2.1086035965849828}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,194] Trial 51 finished with value: 7.78469008465053 and parameters: {'x': 1.3794951150973072, 'y': 2.133730616674673}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,195] Trial 52 finished with value: 10.346702498937645 and parameters: {'x': 2.6600353834124157, 'y': 2.5265542823496276}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,195] Trial 53 finished with value: 8.397521047633518 and parameters: {'x': 2.8978919897984197, 'y': 2.0946088457485397}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,196] Trial 54 finished with value: 8.729635565576425 and parameters: {'x': 2.3226416072190963, 'y': 2.1163001449679175}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,197] Trial 55 finished with value: 6.563335605862068 and parameters: {'x': 1.2163645109709191, 'y': 1.871269427619554}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,198] Trial 56 finished with value: 6.873609887768213 and parameters: {'x': 1.2251556830566572, 'y': 1.7367674345443647}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,199] Trial 57 finished with value: 8.80557668194253 and parameters: {'x': 2.3857385187069093, 'y': 1.8044692754689606}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,200] Trial 58 finished with value: 8.48024561077549 and parameters: {'x': 2.859408136043024, 'y': 1.8608932253951125}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,200] Trial 59 finished with value: 7.929450226423043 and parameters: {'x': 1.069350630996834, 'y': 2.4151552500515012}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,201] Trial 60 finished with value: 7.524695733250729 and parameters: {'x': 1.5090899388472594, 'y': 1.4852477824087806}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,202] Trial 61 finished with value: 6.916920537471675 and parameters: {'x': 1.641179571690034, 'y': 1.2137699988751192}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,203] Trial 62 finished with value: 10.022015362074939 and parameters: {'x': 2.354751893467662, 'y': 2.7214581032189935}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,204] Trial 63 finished with value: 5.569058505649405 and parameters: {'x': 1.8750334501787682, 'y': 1.0065938879959706}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,205] Trial 64 finished with value: 9.236481240422165 and parameters: {'x': 2.7225253991380605, 'y': 1.463453956459146}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,206] Trial 65 finished with value: 7.589909153165305 and parameters: {'x': 1.8828143174093952, 'y': 1.4849961540002887}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,207] Trial 66 finished with value: 6.057427416925147 and parameters: {'x': 1.1136598146306471, 'y': 2.0651176783638157}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,208] Trial 67 finished with value: 5.333604535066673 and parameters: {'x': 1.1521593149514442, 'y': 1.1967712091492033}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,209] Trial 68 finished with value: 8.47663339990434 and parameters: {'x': 2.7331662465388735, 'y': 1.1946410227095325}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,210] Trial 69 finished with value: 6.1557427755607605 and parameters: {'x': 2.115689757806627, 'y': 1.075954418838918}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,210] Trial 70 finished with value: 8.21432386178338 and parameters: {'x': 2.426697315572791, 'y': 1.1610984577096755}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,211] Trial 71 finished with value: 9.150950844862605 and parameters: {'x': 1.4810568123213028, 'y': 2.5428552435500063}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,212] Trial 72 finished with value: 6.446630137296186 and parameters: {'x': 1.9154490857784012, 'y': 1.2081435102536793}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,213] Trial 73 finished with value: 7.702963494527083 and parameters: {'x': 1.5491345118660198, 'y': 1.5939876007739795}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,214] Trial 74 finished with value: 7.005032748152567 and parameters: {'x': 1.826844626954173, 'y': 1.9268425602050288}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,215] Trial 75 finished with value: 9.27183740472173 and parameters: {'x': 1.498215097882374, 'y': 2.676718866467224}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,215] Trial 76 finished with value: 6.1788202097104445 and parameters: {'x': 1.4090942518581993, 'y': 1.092598285985039}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,216] Trial 77 finished with value: 8.983446483572983 and parameters: {'x': 2.2413872996736677, 'y': 2.262636501594432}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,217] Trial 78 finished with value: 8.216516191382501 and parameters: {'x': 1.1779154251103852, 'y': 2.812668726136599}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,218] Trial 79 finished with value: 8.454386883504299 and parameters: {'x': 2.3305972180416967, 'y': 1.9835764247236907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,219] Trial 80 finished with value: 7.850643863378659 and parameters: {'x': 1.7388072343407257, 'y': 2.1404356549330252}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,220] Trial 81 finished with value: 8.548120869822377 and parameters: {'x': 1.2355723676495973, 'y': 2.4716454451936927}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,221] Trial 82 finished with value: 8.386285418856902 and parameters: {'x': 2.7552139515981446, 'y': 1.1836615335225171}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,221] Trial 83 finished with value: 9.33277811056341 and parameters: {'x': 2.2088941144948118, 'y': 2.792964798250159}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,222] Trial 84 finished with value: 10.191009221350768 and parameters: {'x': 2.585848255012078, 'y': 2.9630703840002472}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,223] Trial 85 finished with value: 9.199310232934744 and parameters: {'x': 2.748849783785084, 'y': 1.441554730785663}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,224] Trial 86 finished with value: 9.2646294664593 and parameters: {'x': 1.5948713689545138, 'y': 2.8027793439493904}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,225] Trial 87 finished with value: 7.080688050613922 and parameters: {'x': 1.9661671599435053, 'y': 1.8037364200866381}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,226] Trial 88 finished with value: 9.013415425450534 and parameters: {'x': 2.4163310734970684, 'y': 1.636886697540102}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,227] Trial 89 finished with value: 6.866821452286725 and parameters: {'x': 1.890540471699981, 'y': 1.88483373776394}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,227] Trial 90 finished with value: 5.959158557344825 and parameters: {'x': 1.3281373141813404, 'y': 1.125500051842644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,228] Trial 91 finished with value: 7.87159220193886 and parameters: {'x': 2.359511515835968, 'y': 1.1279106069988678}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,229] Trial 92 finished with value: 9.202654686101095 and parameters: {'x': 1.4685789842334418, 'y': 2.604580581576726}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,230] Trial 93 finished with value: 7.6448009517846 and parameters: {'x': 2.0921232065193225, 'y': 1.73682311950304}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,231] Trial 94 finished with value: 6.6725930457942475 and parameters: {'x': 1.6921203518903358, 'y': 1.1628807707949569}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,232] Trial 95 finished with value: 6.116863193669975 and parameters: {'x': 1.0694790248579369, 'y': 1.4104985430277928}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,233] Trial 96 finished with value: 8.847283521590567 and parameters: {'x': 1.9662722891008542, 'y': 2.701251138159574}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,234] Trial 97 finished with value: 8.443230082626295 and parameters: {'x': 2.2382451209071936, 'y': 1.6551477720943748}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,235] Trial 98 finished with value: 7.671184542786042 and parameters: {'x': 1.9676209973302294, 'y': 1.5656060031227454}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,236] Trial 99 finished with value: 4.788155844147777 and parameters: {'x': 1.0151800894576377, 'y': 1.200455850814773}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,237] Trial 100 finished with value: 4.045505869420193 and parameters: {'x': 1.0652252404158025, 'y': 1.0635003202026654}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,238] Trial 101 finished with value: 9.330788286768396 and parameters: {'x': 2.4173773897708193, 'y': 2.1901578920897675}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,238] Trial 102 finished with value: 7.069570698766446 and parameters: {'x': 1.1168049032504792, 'y': 2.222497516983431}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,239] Trial 103 finished with value: 6.317079292167321 and parameters: {'x': 1.0975025588917013, 'y': 2.12549533279568}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,240] Trial 104 finished with value: 9.29855178082329 and parameters: {'x': 1.5324004580461716, 'y': 2.723016150949123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,241] Trial 105 finished with value: 9.192696852614601 and parameters: {'x': 1.4808206774849857, 'y': 2.579008136152047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,242] Trial 106 finished with value: 8.408472658306273 and parameters: {'x': 2.831926346840218, 'y': 1.9197290242202152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,243] Trial 107 finished with value: 10.135310503921435 and parameters: {'x': 2.432192587200304, 'y': 2.5119874467684147}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,244] Trial 108 finished with value: 8.879378516475859 and parameters: {'x': 1.7407377105650303, 'y': 2.3855217737559635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,245] Trial 109 finished with value: 9.055230122907686 and parameters: {'x': 2.717636437055245, 'y': 2.0991095781429183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,246] Trial 110 finished with value: 7.293293823977846 and parameters: {'x': 1.0877372743905704, 'y': 2.273650413650829}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,247] Trial 111 finished with value: 8.919022535429784 and parameters: {'x': 2.95854396879389, 'y': 1.719039694018197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,248] Trial 112 finished with value: 7.3372819602724455 and parameters: {'x': 1.3623366154825576, 'y': 1.5554901490716264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,248] Trial 113 finished with value: 9.030101823932666 and parameters: {'x': 2.6595623168637306, 'y': 1.349405406692998}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,250] Trial 114 finished with value: 6.072245230822357 and parameters: {'x': 1.025040018500134, 'y': 1.4270855245256404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,251] Trial 115 finished with value: 7.427324175144104 and parameters: {'x': 1.5847021930614489, 'y': 1.388083865430075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,251] Trial 116 finished with value: 7.401331252563596 and parameters: {'x': 1.1720633580392537, 'y': 2.236009826109792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,252] Trial 117 finished with value: 7.707729664135554 and parameters: {'x': 1.6475738512480638, 'y': 1.7842152507174118}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,253] Trial 118 finished with value: 8.353403949911574 and parameters: {'x': 2.2922788419771853, 'y': 2.047108234443308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,254] Trial 119 finished with value: 7.901261536827631 and parameters: {'x': 2.0811791251484095, 'y': 1.5553480135828408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,255] Trial 120 finished with value: 7.929999755129986 and parameters: {'x': 2.1030085786156674, 'y': 1.6315349542573745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,256] Trial 121 finished with value: 9.288051746041393 and parameters: {'x': 2.249248175133083, 'y': 2.9212579305581805}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,257] Trial 122 finished with value: 9.073790993777054 and parameters: {'x': 2.556831585636369, 'y': 2.0192050725676203}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,258] Trial 123 finished with value: 6.1928075617926694 and parameters: {'x': 1.381008070971709, 'y': 1.127196872196507}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,259] Trial 124 finished with value: 10.156698962301324 and parameters: {'x': 2.984010254713117, 'y': 2.4756838541668325}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,260] Trial 125 finished with value: 9.874975505572541 and parameters: {'x': 2.48926356962497, 'y': 2.32310916596693}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,261] Trial 126 finished with value: 8.4403157532315 and parameters: {'x': 1.1674159135861502, 'y': 2.5243468662283424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,262] Trial 127 finished with value: 9.139515973359657 and parameters: {'x': 2.9124136588486005, 'y': 1.448544851596652}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,263] Trial 128 finished with value: 7.359019764415692 and parameters: {'x': 1.845559429941528, 'y': 1.3798715708393237}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,264] Trial 129 finished with value: 8.801406402850382 and parameters: {'x': 2.793280477391969, 'y': 2.0995429900681835}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,265] Trial 130 finished with value: 9.16027496754532 and parameters: {'x': 2.958814654897644, 'y': 1.4501058360334536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,266] Trial 131 finished with value: 9.043089465124277 and parameters: {'x': 2.5531846030820153, 'y': 1.394148666766868}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,267] Trial 132 finished with value: 7.606828759224673 and parameters: {'x': 1.628976929975279, 'y': 1.4619861318720995}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,268] Trial 133 finished with value: 9.070587375279917 and parameters: {'x': 1.419020074634894, 'y': 2.5430493560865637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,269] Trial 134 finished with value: 8.922647531691823 and parameters: {'x': 2.403540709078335, 'y': 1.5039144423310895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,270] Trial 135 finished with value: 7.967844530950847 and parameters: {'x': 1.8344664008911205, 'y': 2.2154175816586967}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,271] Trial 136 finished with value: 6.626032192071815 and parameters: {'x': 1.1376050758152119, 'y': 1.5572043930324122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,272] Trial 137 finished with value: 9.659594459444406 and parameters: {'x': 2.7866196797539673, 'y': 2.9979820048454564}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,273] Trial 138 finished with value: 6.347014296917756 and parameters: {'x': 1.1499787305081524, 'y': 1.4010452377707163}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,274] Trial 139 finished with value: 7.529375914538674 and parameters: {'x': 1.4493857009516564, 'y': 1.9428251265097687}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,275] Trial 140 finished with value: 8.81677041121904 and parameters: {'x': 1.3251875112150269, 'y': 2.9930602325129616}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,276] Trial 141 finished with value: 6.910809469825855 and parameters: {'x': 1.265056131105021, 'y': 2.0342370126064235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,277] Trial 142 finished with value: 8.270503495062389 and parameters: {'x': 1.6712378350511055, 'y': 2.2009435486868285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,278] Trial 143 finished with value: 7.452760285030202 and parameters: {'x': 1.3978757960635275, 'y': 1.5886968818444087}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,279] Trial 144 finished with value: 8.04404936965607 and parameters: {'x': 2.2430845548658915, 'y': 2.043992069057082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,280] Trial 145 finished with value: 9.037078848946711 and parameters: {'x': 2.541655139697369, 'y': 1.8839124502404339}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,281] Trial 146 finished with value: 6.982951805949881 and parameters: {'x': 1.781374575788557, 'y': 1.2651621081908913}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,282] Trial 147 finished with value: 9.20171480473229 and parameters: {'x': 1.6080598211760768, 'y': 2.9650186697000382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,283] Trial 148 finished with value: 6.452025938356062 and parameters: {'x': 1.1479419006340799, 'y': 1.4382449336931642}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,284] Trial 149 finished with value: 8.409147936673097 and parameters: {'x': 1.1982455088041204, 'y': 2.458225719447706}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,285] Trial 150 finished with value: 7.5725037722601485 and parameters: {'x': 1.9508953118972576, 'y': 1.6558619568319393}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,286] Trial 151 finished with value: 8.982528233453667 and parameters: {'x': 1.5525808084216455, 'y': 2.41293048193209}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,286] Trial 152 finished with value: 9.041991086654965 and parameters: {'x': 2.0937943692816763, 'y': 2.4277592159001715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,287] Trial 153 finished with value: 5.742279919822625 and parameters: {'x': 1.9597368328208227, 'y': 1.101870834317938}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,288] Trial 154 finished with value: 7.662524506220276 and parameters: {'x': 1.3428920411087246, 'y': 2.135148324498201}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,291] Trial 155 finished with value: 5.412915944788196 and parameters: {'x': 1.990908743954472, 'y': 1.0050198191556126}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,292] Trial 156 finished with value: 7.384637681531171 and parameters: {'x': 1.8039469768756087, 'y': 2.0905831063243143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,293] Trial 157 finished with value: 7.362225966959187 and parameters: {'x': 1.4451194939759322, 'y': 1.4525537484113495}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,294] Trial 158 finished with value: 10.222437021084144 and parameters: {'x': 2.6488242314394013, 'y': 2.433715704140214}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,295] Trial 159 finished with value: 6.896605385291597 and parameters: {'x': 1.027065396478891, 'y': 2.2375282061374557}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,296] Trial 160 finished with value: 9.070807682748207 and parameters: {'x': 2.965189425709962, 'y': 1.4068019970945893}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,297] Trial 161 finished with value: 8.24245966683869 and parameters: {'x': 2.4278280268516204, 'y': 1.1692189477956123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,298] Trial 162 finished with value: 5.673508204977029 and parameters: {'x': 1.0721727531477638, 'y': 2.0209882776353236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,299] Trial 163 finished with value: 6.685128269118291 and parameters: {'x': 1.0176360039225363, 'y': 2.210740833205314}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,300] Trial 164 finished with value: 7.608037762971426 and parameters: {'x': 1.871629158495657, 'y': 1.6523483721870136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,301] Trial 165 finished with value: 10.386096910354778 and parameters: {'x': 2.5895300471814746, 'y': 2.6305378593259974}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,302] Trial 166 finished with value: 7.40514642679503 and parameters: {'x': 1.7243774639538723, 'y': 1.9789454770033412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,303] Trial 167 finished with value: 9.33732591568054 and parameters: {'x': 2.1457972131567966, 'y': 2.666277852044355}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,304] Trial 168 finished with value: 7.517325492079699 and parameters: {'x': 1.5730197790114377, 'y': 1.436315023136025}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,305] Trial 169 finished with value: 8.954057110696501 and parameters: {'x': 2.565349052914175, 'y': 1.340767290504819}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,306] Trial 170 finished with value: 7.628363624986125 and parameters: {'x': 1.1240421322715355, 'y': 2.9812662390210587}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,307] Trial 171 finished with value: 7.895166227239825 and parameters: {'x': 2.097114156405027, 'y': 1.4841161709967734}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,308] Trial 172 finished with value: 9.650496346883967 and parameters: {'x': 2.878011320154017, 'y': 2.3083770732523208}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,309] Trial 173 finished with value: 10.179377446684578 and parameters: {'x': 2.5992281043426297, 'y': 2.960157496955233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,310] Trial 174 finished with value: 8.393777129433174 and parameters: {'x': 2.87864454294124, 'y': 1.239177096324707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,311] Trial 175 finished with value: 8.117760168554438 and parameters: {'x': 1.6390553207059786, 'y': 2.1544961862419205}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,312] Trial 176 finished with value: 7.780286127425217 and parameters: {'x': 1.9561316950363021, 'y': 2.2200267269991105}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,313] Trial 177 finished with value: 8.97783184216078 and parameters: {'x': 2.4029650756157688, 'y': 1.6597546371143177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,314] Trial 178 finished with value: 9.208872159188012 and parameters: {'x': 2.9549234687416903, 'y': 2.88628287561888}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,315] Trial 179 finished with value: 5.4049656445919965 and parameters: {'x': 1.011013356212266, 'y': 1.9578420384618553}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,316] Trial 180 finished with value: 9.12174191938108 and parameters: {'x': 2.3678749028786994, 'y': 2.17278483879681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,317] Trial 181 finished with value: 10.198826009408865 and parameters: {'x': 2.958641606176584, 'y': 2.5484903125582936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,318] Trial 182 finished with value: 7.6476415377950175 and parameters: {'x': 1.545998442266486, 'y': 1.9323981096163951}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,319] Trial 183 finished with value: 8.124489221721925 and parameters: {'x': 1.6758563638478126, 'y': 2.168679284141233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,320] Trial 184 finished with value: 7.64968413734136 and parameters: {'x': 2.209815005464777, 'y': 1.2569555742100504}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,321] Trial 185 finished with value: 7.803305947129413 and parameters: {'x': 2.0466239336984975, 'y': 1.5762074968179676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,322] Trial 186 finished with value: 8.05474377153569 and parameters: {'x': 2.1632397775778105, 'y': 1.6998366051182627}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,323] Trial 187 finished with value: 6.144941991306926 and parameters: {'x': 1.7747923908250454, 'y': 1.0826847582822892}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,324] Trial 188 finished with value: 6.2127589120851745 and parameters: {'x': 2.066909130422448, 'y': 1.1382530755142026}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,325] Trial 189 finished with value: 6.561669600397277 and parameters: {'x': 1.115901581604201, 'y': 1.629822531869676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,326] Trial 190 finished with value: 7.890219400244215 and parameters: {'x': 2.084328797212484, 'y': 1.5148949334884845}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,327] Trial 191 finished with value: 7.464114852010187 and parameters: {'x': 1.8892808907270018, 'y': 1.713626723491136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,328] Trial 192 finished with value: 7.156552221150989 and parameters: {'x': 1.786094779669809, 'y': 1.960800211946864}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,329] Trial 193 finished with value: 8.951979216755136 and parameters: {'x': 1.7413234774569297, 'y': 2.8444003260863475}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,330] Trial 194 finished with value: 8.613621999490935 and parameters: {'x': 2.277526156650702, 'y': 1.5896308935518735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,331] Trial 195 finished with value: 6.996158886658911 and parameters: {'x': 1.27798756081083, 'y': 1.8105280925644867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,332] Trial 196 finished with value: 8.611348223142354 and parameters: {'x': 2.780063608043692, 'y': 1.2470883370791117}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,333] Trial 197 finished with value: 6.030637405462642 and parameters: {'x': 1.3669459553065468, 'y': 1.0967663914722383}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,334] Trial 198 finished with value: 8.9651624986928 and parameters: {'x': 2.45114124303605, 'y': 1.8177367495614867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,335] Trial 199 finished with value: 8.915451335211346 and parameters: {'x': 2.335872085479096, 'y': 2.150144686924997}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,336] Trial 200 finished with value: 7.021661568826715 and parameters: {'x': 1.8602528352275918, 'y': 1.8654081939662959}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,337] Trial 201 finished with value: 9.769519658797082 and parameters: {'x': 2.7347930055246903, 'y': 2.281904221003719}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,338] Trial 202 finished with value: 4.469825231897417 and parameters: {'x': 1.1276709782028493, 'y': 1.076434141934986}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,339] Trial 203 finished with value: 10.239785901129567 and parameters: {'x': 2.5334930752056657, 'y': 2.8412627361168794}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,340] Trial 204 finished with value: 8.53553773386228 and parameters: {'x': 1.9038626907012923, 'y': 2.808230478175809}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,341] Trial 205 finished with value: 7.469472666097261 and parameters: {'x': 2.0627178614594097, 'y': 1.361793778177681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,342] Trial 206 finished with value: 6.667264537099793 and parameters: {'x': 1.155198996514189, 'y': 1.6725570179291875}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,342] Trial 207 finished with value: 9.076853313820374 and parameters: {'x': 1.8583070910014763, 'y': 2.575429422230293}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,343] Trial 208 finished with value: 7.763861642014163 and parameters: {'x': 1.3957039185663036, 'y': 2.115221306953389}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,344] Trial 209 finished with value: 7.931876268965578 and parameters: {'x': 1.0377878625094168, 'y': 2.7386171658588525}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,345] Trial 210 finished with value: 9.291572445362457 and parameters: {'x': 1.5225522661296755, 'y': 2.72999996019061}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,346] Trial 211 finished with value: 7.90789463480928 and parameters: {'x': 2.1580208652985027, 'y': 1.7481916178348185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,347] Trial 212 finished with value: 8.331075538821214 and parameters: {'x': 1.3086571202225628, 'y': 2.322867543653529}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,348] Trial 213 finished with value: 7.134902741194471 and parameters: {'x': 1.311339134694525, 'y': 1.8159808263688133}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,349] Trial 214 finished with value: 8.508767907255717 and parameters: {'x': 1.5328694871482778, 'y': 2.253473258892857}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,350] Trial 215 finished with value: 10.160814928725088 and parameters: {'x': 2.4340858563813637, 'y': 2.5328342880614736}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,351] Trial 216 finished with value: 7.520519248925659 and parameters: {'x': 2.8358217538122545, 'y': 1.0073602356390727}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,352] Trial 217 finished with value: 8.734898042294475 and parameters: {'x': 2.3976126842507304, 'y': 1.9818004671370137}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,353] Trial 218 finished with value: 9.212983735328182 and parameters: {'x': 2.5707009425331124, 'y': 1.510914137767352}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,354] Trial 219 finished with value: 7.630386114164498 and parameters: {'x': 2.290055224334804, 'y': 1.1542707595107782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,355] Trial 220 finished with value: 9.223023627226235 and parameters: {'x': 1.4874256907368923, 'y': 2.8243687678809852}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,356] Trial 221 finished with value: 6.491452216777805 and parameters: {'x': 2.178628325873583, 'y': 1.0417939251882566}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,357] Trial 222 finished with value: 8.964465884983193 and parameters: {'x': 2.435201368490529, 'y': 1.4774745015263917}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,358] Trial 223 finished with value: 9.787167605334385 and parameters: {'x': 2.5102236610164814, 'y': 2.280925654939244}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,359] Trial 224 finished with value: 10.263157219003295 and parameters: {'x': 2.4943112514176353, 'y': 2.7744643239933993}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,360] Trial 225 finished with value: 8.10062600422781 and parameters: {'x': 1.4212237274775974, 'y': 2.1854087410493284}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,361] Trial 226 finished with value: 7.400051605325441 and parameters: {'x': 1.3919703351200805, 'y': 1.549329359587792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,362] Trial 227 finished with value: 10.142835796284338 and parameters: {'x': 2.4810205514098005, 'y': 2.947362586144786}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,363] Trial 228 finished with value: 7.315275574586037 and parameters: {'x': 1.9544917597569376, 'y': 1.746454737362182}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,364] Trial 229 finished with value: 8.02264358861355 and parameters: {'x': 2.024667187134299, 'y': 2.9507638023385447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,365] Trial 230 finished with value: 7.650780229269962 and parameters: {'x': 1.5589595248514958, 'y': 1.8963027349856008}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,366] Trial 231 finished with value: 8.75642052006269 and parameters: {'x': 1.2578489085880764, 'y': 2.573495333602545}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,367] Trial 232 finished with value: 7.720926630613398 and parameters: {'x': 1.6683961727920873, 'y': 2.0584749448370667}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,368] Trial 233 finished with value: 10.111196291118265 and parameters: {'x': 2.388544278181339, 'y': 2.5758930870083345}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,369] Trial 234 finished with value: 8.999141681351706 and parameters: {'x': 1.3880499083930444, 'y': 2.9198551748985655}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,370] Trial 235 finished with value: 6.947255849127545 and parameters: {'x': 1.3017815054591813, 'y': 1.4239006206842184}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,372] Trial 236 finished with value: 8.093163601417645 and parameters: {'x': 1.022966381407082, 'y': 2.511672249150409}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,373] Trial 237 finished with value: 9.244523525498478 and parameters: {'x': 2.1309296907352304, 'y': 2.687476427568785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,374] Trial 238 finished with value: 7.404512967642068 and parameters: {'x': 1.325042353063805, 'y': 2.0888798280457053}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,375] Trial 239 finished with value: 8.276865554192819 and parameters: {'x': 2.184880893629826, 'y': 2.178955012453271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,376] Trial 240 finished with value: 9.001965784325948 and parameters: {'x': 2.6346136475206117, 'y': 1.9949438321654618}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,377] Trial 241 finished with value: 6.951984210410229 and parameters: {'x': 2.0125264882488345, 'y': 1.2811406982064169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,378] Trial 242 finished with value: 9.059296508005236 and parameters: {'x': 1.3974245366863893, 'y': 2.5622304428793035}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,379] Trial 243 finished with value: 8.206034009843497 and parameters: {'x': 2.9364115200634586, 'y': 1.883919482780143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,380] Trial 244 finished with value: 9.921919105284765 and parameters: {'x': 2.8470228282279604, 'y': 2.3680211380618044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,381] Trial 245 finished with value: 5.862369248339185 and parameters: {'x': 1.1142529535002255, 'y': 2.0076454952194416}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,382] Trial 246 finished with value: 7.481016763418873 and parameters: {'x': 2.0251579459513422, 'y': 1.7229460313825542}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,383] Trial 247 finished with value: 9.084504448433803 and parameters: {'x': 2.5598314697394455, 'y': 1.84622302020528}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,384] Trial 248 finished with value: 9.730779841830977 and parameters: {'x': 2.705026542530438, 'y': 2.261172872438412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,385] Trial 249 finished with value: 6.970087709999072 and parameters: {'x': 2.2056625156106104, 'y': 1.1199626417334956}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,386] Trial 250 finished with value: 8.953933738523933 and parameters: {'x': 2.702914966726759, 'y': 1.860231761427788}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,387] Trial 251 finished with value: 9.748424617891873 and parameters: {'x': 2.4667731201567493, 'y': 2.2888764660961294}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,388] Trial 252 finished with value: 9.167673651450142 and parameters: {'x': 2.072195797772089, 'y': 2.610655666055697}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,389] Trial 253 finished with value: 7.147031598038101 and parameters: {'x': 1.291699180736912, 'y': 1.7390061583839724}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,390] Trial 254 finished with value: 6.116670622794018 and parameters: {'x': 2.1301272592646647, 'y': 1.0347697813695165}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,391] Trial 255 finished with value: 8.208828599746406 and parameters: {'x': 2.2867287156201046, 'y': 1.9679983737249274}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,392] Trial 256 finished with value: 6.548620766445598 and parameters: {'x': 1.2044888856944802, 'y': 1.4005015727656103}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,393] Trial 257 finished with value: 10.31713510610331 and parameters: {'x': 2.612563047786084, 'y': 2.7704625571335404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,394] Trial 258 finished with value: 10.084552858039983 and parameters: {'x': 2.4972956483612614, 'y': 2.4135511676669017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,395] Trial 259 finished with value: 8.704815048381596 and parameters: {'x': 1.8348199894899018, 'y': 2.816913002698824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,396] Trial 260 finished with value: 9.909882350543576 and parameters: {'x': 2.782731419649844, 'y': 2.8262820425631365}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,397] Trial 261 finished with value: 5.976489893672717 and parameters: {'x': 1.7736308753893941, 'y': 1.020860693431882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,398] Trial 262 finished with value: 5.927980057999747 and parameters: {'x': 2.016682408877395, 'y': 1.121591782697312}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,399] Trial 263 finished with value: 8.858717705415632 and parameters: {'x': 1.5563968701377697, 'y': 2.3616592332265505}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,400] Trial 264 finished with value: 10.033313474090175 and parameters: {'x': 2.9006873116428213, 'y': 2.692515618646322}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,401] Trial 265 finished with value: 8.880528053164227 and parameters: {'x': 1.3391217993231546, 'y': 2.5119201657605466}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,404] Trial 266 finished with value: 6.512793795585026 and parameters: {'x': 1.0973914976258345, 'y': 1.598088367554651}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,405] Trial 267 finished with value: 10.133308161929415 and parameters: {'x': 2.4722329634215807, 'y': 2.9038913264736412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,406] Trial 268 finished with value: 9.009577894524508 and parameters: {'x': 2.848278275800719, 'y': 1.71975219955167}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,407] Trial 269 finished with value: 9.073466277909414 and parameters: {'x': 1.8477499271033209, 'y': 2.544824490259407}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,407] Trial 270 finished with value: 8.857712616202502 and parameters: {'x': 2.7763762931812623, 'y': 2.0978016101308743}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,408] Trial 271 finished with value: 8.336836626348964 and parameters: {'x': 2.3795700310590426, 'y': 1.2465209738223508}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,409] Trial 272 finished with value: 5.916158701235933 and parameters: {'x': 1.362378593042143, 'y': 1.0660251203586257}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,410] Trial 273 finished with value: 9.146929015217898 and parameters: {'x': 1.8033754828833874, 'y': 2.6047616206447453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,411] Trial 274 finished with value: 7.438775490254871 and parameters: {'x': 1.7578386164256896, 'y': 1.8327485767740324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,412] Trial 275 finished with value: 7.535911323474094 and parameters: {'x': 1.6806223274483807, 'y': 1.9795460472091044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,413] Trial 276 finished with value: 7.2692615352023005 and parameters: {'x': 1.3721922862035816, 'y': 1.4889755041007238}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,414] Trial 277 finished with value: 10.156213247691806 and parameters: {'x': 2.439013905615374, 'y': 2.798546701303678}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,415] Trial 278 finished with value: 7.594454224312965 and parameters: {'x': 1.7836186155171991, 'y': 1.7335789878704169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,415] Trial 279 finished with value: 9.692863147985143 and parameters: {'x': 2.830534386150495, 'y': 2.8448425756608664}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,416] Trial 280 finished with value: 10.354735182718246 and parameters: {'x': 2.654619006311158, 'y': 2.535702751682674}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,417] Trial 281 finished with value: 9.59974810128511 and parameters: {'x': 2.2129591988883632, 'y': 2.6594307933091414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,418] Trial 282 finished with value: 9.171231249430022 and parameters: {'x': 2.4126063326685623, 'y': 2.1477052796850047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,419] Trial 283 finished with value: 4.423097764063691 and parameters: {'x': 1.1136507650040754, 'y': 1.085185414659418}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,420] Trial 284 finished with value: 8.518116853818347 and parameters: {'x': 2.2714436670861144, 'y': 1.4799874049703434}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,421] Trial 285 finished with value: 6.308183889141347 and parameters: {'x': 1.1798253175175006, 'y': 1.358477133667177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,422] Trial 286 finished with value: 5.721946692056417 and parameters: {'x': 1.0636206120922096, 'y': 1.8733061965353646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,423] Trial 287 finished with value: 7.677943634548251 and parameters: {'x': 1.121973471590385, 'y': 2.9035790410998183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,424] Trial 288 finished with value: 9.151799227058577 and parameters: {'x': 2.6069182409954905, 'y': 1.7996328195485836}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,425] Trial 289 finished with value: 10.013127416178817 and parameters: {'x': 2.4167858431807874, 'y': 2.9164976263663602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,425] Trial 290 finished with value: 4.998303328378896 and parameters: {'x': 1.1542956742066215, 'y': 1.140781609596429}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,426] Trial 291 finished with value: 8.28114606706547 and parameters: {'x': 2.1879466071750313, 'y': 1.5581671187822235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,427] Trial 292 finished with value: 8.832524046610402 and parameters: {'x': 2.300366007103639, 'y': 2.16793189577589}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,428] Trial 293 finished with value: 5.711376066059369 and parameters: {'x': 1.094322932423767, 'y': 1.9411323943054628}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,429] Trial 294 finished with value: 7.760929512264443 and parameters: {'x': 2.071568489594031, 'y': 1.4523217653510414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,430] Trial 295 finished with value: 9.671827782479724 and parameters: {'x': 2.9922109078108097, 'y': 2.7826847496567426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,431] Trial 296 finished with value: 6.710962291458795 and parameters: {'x': 2.0479007588535945, 'y': 1.2261318608148313}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,432] Trial 297 finished with value: 9.202996753526495 and parameters: {'x': 2.8645562118427224, 'y': 1.6129257002416637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,433] Trial 298 finished with value: 5.60593399078077 and parameters: {'x': 1.0573022885455976, 'y': 1.3062488386606321}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,434] Trial 299 finished with value: 6.58244865409225 and parameters: {'x': 1.3655659763270604, 'y': 1.2432668725475122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,435] Trial 300 finished with value: 6.2066836519014394 and parameters: {'x': 1.331275367399907, 'y': 1.182084471528453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,436] Trial 301 finished with value: 8.984835506742034 and parameters: {'x': 2.0438870786774963, 'y': 2.6836625341675298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,436] Trial 302 finished with value: 9.135668282526662 and parameters: {'x': 1.6844674053929338, 'y': 2.482716416022635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,437] Trial 303 finished with value: 10.359646028416753 and parameters: {'x': 2.5754761557918533, 'y': 2.7198582320674056}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,438] Trial 304 finished with value: 7.361657153468046 and parameters: {'x': 1.3571872591947314, 'y': 1.75345728109374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,439] Trial 305 finished with value: 7.913504782012886 and parameters: {'x': 2.2567402470676416, 'y': 1.2652867032397062}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,440] Trial 306 finished with value: 9.347623407815192 and parameters: {'x': 2.1932762319899344, 'y': 2.7575887786576088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,441] Trial 307 finished with value: 6.238482058571574 and parameters: {'x': 1.398568508516686, 'y': 1.1219645882466098}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,442] Trial 308 finished with value: 9.255211632335527 and parameters: {'x': 2.1065275363082856, 'y': 2.623147599225602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,443] Trial 309 finished with value: 7.9259135284926625 and parameters: {'x': 2.401557205780505, 'y': 1.0884686415000555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,444] Trial 310 finished with value: 9.912652969472223 and parameters: {'x': 2.4927665585904117, 'y': 2.3362285111941388}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,445] Trial 311 finished with value: 7.9160816136541055 and parameters: {'x': 2.086039549812548, 'y': 1.5718753826147212}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,446] Trial 312 finished with value: 8.846211582353332 and parameters: {'x': 2.7946975959997085, 'y': 2.1111493443901646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,446] Trial 313 finished with value: 8.447724376654612 and parameters: {'x': 1.231940729779242, 'y': 2.4329241473881456}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,447] Trial 314 finished with value: 7.552500541854169 and parameters: {'x': 1.7919999988976703, 'y': 1.7463777927679258}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,448] Trial 315 finished with value: 9.218512393996935 and parameters: {'x': 1.5175664405513307, 'y': 2.924995588232765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,449] Trial 316 finished with value: 6.857585341545889 and parameters: {'x': 2.0710526351204024, 'y': 1.9257182649214797}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,450] Trial 317 finished with value: 6.2545662723315765 and parameters: {'x': 1.0302565320977815, 'y': 2.150580729287884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,451] Trial 318 finished with value: 7.983987219108325 and parameters: {'x': 2.4111627134494213, 'y': 1.0980217544085398}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,452] Trial 319 finished with value: 8.357108631911709 and parameters: {'x': 1.2100873805705843, 'y': 2.820830469555223}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,453] Trial 320 finished with value: 6.699130383291198 and parameters: {'x': 1.215682949072571, 'y': 2.0632357475823735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,454] Trial 321 finished with value: 8.948976386936518 and parameters: {'x': 1.331367634034851, 'y': 2.581299783112364}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,455] Trial 322 finished with value: 7.982138721518298 and parameters: {'x': 1.988398470351165, 'y': 2.945407386064451}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,455] Trial 323 finished with value: 9.745623933776441 and parameters: {'x': 2.30428299904322, 'y': 2.805664681125419}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,456] Trial 324 finished with value: 7.613461888965885 and parameters: {'x': 1.0069534961965363, 'y': 2.8127180219484327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,457] Trial 325 finished with value: 7.652181636405894 and parameters: {'x': 1.8566641006360123, 'y': 1.5309023468189245}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,458] Trial 326 finished with value: 9.162199390098213 and parameters: {'x': 2.9688223241275935, 'y': 2.8965908439695895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,459] Trial 327 finished with value: 8.603561199051127 and parameters: {'x': 2.101710342423472, 'y': 2.8472037870659075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,460] Trial 328 finished with value: 9.238104079329661 and parameters: {'x': 1.4645047073963369, 'y': 2.7201884102366276}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,461] Trial 329 finished with value: 9.2059890001439 and parameters: {'x': 1.5029492524669203, 'y': 2.570755821365006}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,462] Trial 330 finished with value: 8.662235215716079 and parameters: {'x': 1.9668160413505607, 'y': 2.7570260466308625}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,463] Trial 331 finished with value: 4.387601305751666 and parameters: {'x': 1.1063704438455368, 'y': 1.0869451970964539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,464] Trial 332 finished with value: 8.743504814708885 and parameters: {'x': 2.42920152555666, 'y': 1.3500254719172264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,465] Trial 333 finished with value: 7.474602128171121 and parameters: {'x': 1.152829659231377, 'y': 2.263024436911833}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,466] Trial 334 finished with value: 7.7139152591869955 and parameters: {'x': 2.083902436337981, 'y': 1.7042422360941185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,467] Trial 335 finished with value: 9.064165098697746 and parameters: {'x': 2.196396028837885, 'y': 2.868474069611013}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,467] Trial 336 finished with value: 7.526207724974352 and parameters: {'x': 1.748765975307913, 'y': 1.4175092102644002}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,468] Trial 337 finished with value: 8.87318611022771 and parameters: {'x': 1.4301086067741993, 'y': 2.4221290283239707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,469] Trial 338 finished with value: 7.437628554622544 and parameters: {'x': 1.5370848528034777, 'y': 1.4164035735238645}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,470] Trial 339 finished with value: 9.108528828823486 and parameters: {'x': 2.8221419136641974, 'y': 1.4137540686047536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,471] Trial 340 finished with value: 10.224469832486484 and parameters: {'x': 2.7627939976725715, 'y': 2.712650585544082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,472] Trial 341 finished with value: 9.157248639712966 and parameters: {'x': 1.621381698958753, 'y': 2.490024536343387}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,473] Trial 342 finished with value: 9.067096629559234 and parameters: {'x': 2.965909978088968, 'y': 2.9290256135131707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,474] Trial 343 finished with value: 8.20828834637247 and parameters: {'x': 2.551873644603601, 'y': 1.0660867667675091}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,475] Trial 344 finished with value: 7.619650128094548 and parameters: {'x': 2.0644661743154415, 'y': 1.4042470172553296}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,476] Trial 345 finished with value: 8.763579496092841 and parameters: {'x': 1.6545509357446349, 'y': 2.3265521680886843}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,476] Trial 346 finished with value: 10.329168526789621 and parameters: {'x': 2.644777207725301, 'y': 2.5097392192993073}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,477] Trial 347 finished with value: 6.209810066889293 and parameters: {'x': 1.794374892990855, 'y': 1.1141125151488116}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,478] Trial 348 finished with value: 7.984742852035451 and parameters: {'x': 1.092178496970699, 'y': 2.41579734736726}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,479] Trial 349 finished with value: 8.870990662413382 and parameters: {'x': 1.3414984313948313, 'y': 2.982007944245219}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,480] Trial 350 finished with value: 8.966183159301048 and parameters: {'x': 2.4075892104439074, 'y': 1.7079217481458522}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,481] Trial 351 finished with value: 7.656693888229608 and parameters: {'x': 1.8518279470371772, 'y': 1.6238590298596043}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,482] Trial 352 finished with value: 9.062458866554683 and parameters: {'x': 2.6177201797519714, 'y': 1.8642498769805247}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,483] Trial 353 finished with value: 9.018050055020714 and parameters: {'x': 2.4187002604843553, 'y': 1.6138392905141121}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,484] Trial 354 finished with value: 8.991109902167452 and parameters: {'x': 1.3703645448408575, 'y': 2.834356324376323}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,485] Trial 355 finished with value: 8.38152104519662 and parameters: {'x': 1.1555343303547916, 'y': 2.7006567266890333}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,486] Trial 356 finished with value: 6.212801250088436 and parameters: {'x': 1.1805670600758351, 'y': 1.3342035077899745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,486] Trial 357 finished with value: 7.941553127535705 and parameters: {'x': 2.7592288821782676, 'y': 1.0706680098479076}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,487] Trial 358 finished with value: 7.224303585235438 and parameters: {'x': 1.3045011153751436, 'y': 1.6118863229503622}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,488] Trial 359 finished with value: 8.44450330401257 and parameters: {'x': 2.2335451159558417, 'y': 1.628179759156297}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,489] Trial 360 finished with value: 7.044886595511825 and parameters: {'x': 1.9972271639585526, 'y': 1.3032450288065827}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,490] Trial 361 finished with value: 8.270774653868527 and parameters: {'x': 2.8974389690073172, 'y': 1.888026611242919}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,491] Trial 362 finished with value: 8.91666182979364 and parameters: {'x': 2.4368892491097727, 'y': 1.4377983452111882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,492] Trial 363 finished with value: 10.088239690096223 and parameters: {'x': 2.865870145047425, 'y': 2.4358911847461413}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,493] Trial 364 finished with value: 8.78965221877254 and parameters: {'x': 2.3358581438953543, 'y': 1.6618000006359324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,494] Trial 365 finished with value: 10.125686298125409 and parameters: {'x': 2.445415598969073, 'y': 2.84484078419461}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,494] Trial 366 finished with value: 7.343383611464031 and parameters: {'x': 1.7769158794075075, 'y': 2.0507637598350668}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,495] Trial 367 finished with value: 7.997988774164467 and parameters: {'x': 2.2356426584991205, 'y': 2.0451278303879987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,496] Trial 368 finished with value: 8.205247029616046 and parameters: {'x': 2.187146945707058, 'y': 1.4742898645858042}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,497] Trial 369 finished with value: 9.00406642736227 and parameters: {'x': 1.9929649460017025, 'y': 2.5078903999195608}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,498] Trial 370 finished with value: 5.226188688989737 and parameters: {'x': 1.0087444470767506, 'y': 1.2633840962145775}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,499] Trial 371 finished with value: 8.71485187368858 and parameters: {'x': 1.3079096308120766, 'y': 2.9738261872510607}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,500] Trial 372 finished with value: 9.216845434625913 and parameters: {'x': 1.508575392047343, 'y': 2.8773204260382386}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,501] Trial 373 finished with value: 9.17989793263459 and parameters: {'x': 2.8841994959270485, 'y': 1.621651975448489}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,502] Trial 374 finished with value: 8.98557586111079 and parameters: {'x': 2.500830384642061, 'y': 1.8944341497362096}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,502] Trial 375 finished with value: 9.303369240522263 and parameters: {'x': 1.5391501775074237, 'y': 2.711571907670349}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,503] Trial 376 finished with value: 8.750471615681288 and parameters: {'x': 1.4913406700000764, 'y': 2.341732508736907}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,504] Trial 377 finished with value: 7.227982143201142 and parameters: {'x': 1.3268853102432239, 'y': 1.7885289413291054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,505] Trial 378 finished with value: 10.023162229027282 and parameters: {'x': 2.396048090406278, 'y': 2.8314615713289455}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,506] Trial 379 finished with value: 6.092896856433121 and parameters: {'x': 1.7911165415621344, 'y': 1.08382619235308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,507] Trial 380 finished with value: 6.120317782062621 and parameters: {'x': 1.4032309691122884, 'y': 1.079894591239306}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,508] Trial 381 finished with value: 7.022502908484473 and parameters: {'x': 1.8824910993699955, 'y': 1.3033402032471397}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,509] Trial 382 finished with value: 7.652674431707082 and parameters: {'x': 1.8497308313116698, 'y': 1.6310518292420932}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,510] Trial 383 finished with value: 5.822719727358805 and parameters: {'x': 1.3215559497308957, 'y': 1.0981061820951246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,510] Trial 384 finished with value: 7.373644800992425 and parameters: {'x': 1.3940794368916745, 'y': 1.9120470222848358}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,512] Trial 385 finished with value: 5.481155598344511 and parameters: {'x': 1.9414607876752354, 'y': 1.0393575200952851}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,512] Trial 386 finished with value: 10.096454316474768 and parameters: {'x': 2.4543933766663644, 'y': 2.928712322892695}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,513] Trial 387 finished with value: 6.370030836329917 and parameters: {'x': 1.3548891051987708, 'y': 1.1986347193634166}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,514] Trial 388 finished with value: 8.509039975333158 and parameters: {'x': 2.322081543679178, 'y': 1.8428832782616735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,515] Trial 389 finished with value: 7.267810238351741 and parameters: {'x': 1.6160281384053163, 'y': 1.3184453833011878}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,516] Trial 390 finished with value: 5.601143816756288 and parameters: {'x': 1.0084796381477859, 'y': 1.8664753046910936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,517] Trial 391 finished with value: 9.279754455615958 and parameters: {'x': 2.873043369326268, 'y': 2.9390091395584017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,518] Trial 392 finished with value: 7.491358104879318 and parameters: {'x': 2.1375796868486256, 'y': 1.8391439039291715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,519] Trial 393 finished with value: 7.469105104664758 and parameters: {'x': 1.7923971939999055, 'y': 2.0989587544380424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,520] Trial 394 finished with value: 8.956798399528843 and parameters: {'x': 1.711999584921766, 'y': 2.9091711768326656}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,521] Trial 395 finished with value: 9.174547757972167 and parameters: {'x': 2.840890581133052, 'y': 1.4561757164149107}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,522] Trial 396 finished with value: 7.851700424065141 and parameters: {'x': 1.7113279109352795, 'y': 2.123481419395448}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,522] Trial 397 finished with value: 7.750692605356102 and parameters: {'x': 1.6902889832813934, 'y': 1.5623461183014966}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,523] Trial 398 finished with value: 8.755451855147848 and parameters: {'x': 2.911761337310541, 'y': 1.3197890733099533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,524] Trial 399 finished with value: 10.268295211866295 and parameters: {'x': 2.476466615710587, 'y': 2.7332328340294563}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,525] Trial 400 finished with value: 6.417574443703831 and parameters: {'x': 2.177474958724643, 'y': 1.005653626481327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,526] Trial 401 finished with value: 7.668896523263015 and parameters: {'x': 1.644378784575017, 'y': 1.4968063585350646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,528] Trial 402 finished with value: 8.19298658310015 and parameters: {'x': 2.431289201640437, 'y': 1.149653767432715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,528] Trial 403 finished with value: 8.97130164568623 and parameters: {'x': 2.0238418672969654, 'y': 2.464378965120093}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,529] Trial 404 finished with value: 9.9498222644883 and parameters: {'x': 2.888144037415016, 'y': 2.3893540652536975}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,530] Trial 405 finished with value: 8.946878681936214 and parameters: {'x': 2.4819106838477336, 'y': 1.9690251042928717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,531] Trial 406 finished with value: 9.2775145368802 and parameters: {'x': 1.6086848468720156, 'y': 2.7757886297325713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,532] Trial 407 finished with value: 6.0398599077263455 and parameters: {'x': 1.0094173253653007, 'y': 2.126016301637884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,533] Trial 408 finished with value: 7.172267725737418 and parameters: {'x': 1.8647089587091887, 'y': 2.0967083242682962}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,534] Trial 409 finished with value: 10.06942366313142 and parameters: {'x': 2.368979331565893, 'y': 2.7081400803511215}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,535] Trial 410 finished with value: 6.13664299399473 and parameters: {'x': 1.0540333265179518, 'y': 1.4282302453602083}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,536] Trial 411 finished with value: 7.308753587807553 and parameters: {'x': 1.330671073227345, 'y': 1.6984403303355533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,537] Trial 412 finished with value: 6.767207011793218 and parameters: {'x': 1.206523047230095, 'y': 1.7496095327225718}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,538] Trial 413 finished with value: 8.92360731321179 and parameters: {'x': 1.3945161668885826, 'y': 2.4748484732751246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,539] Trial 414 finished with value: 6.680035661311976 and parameters: {'x': 1.9976931371083386, 'y': 2.0379928984768765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,540] Trial 415 finished with value: 7.414252441736993 and parameters: {'x': 1.534572725393671, 'y': 1.4067465865126285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,541] Trial 416 finished with value: 8.9996012583928 and parameters: {'x': 2.585170495454305, 'y': 1.3532149268593918}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,542] Trial 417 finished with value: 9.90548167086543 and parameters: {'x': 2.3399565787146277, 'y': 2.787020230782926}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,543] Trial 418 finished with value: 7.691607288024512 and parameters: {'x': 1.1359010765855024, 'y': 2.9686284408298524}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,544] Trial 419 finished with value: 9.796735720491617 and parameters: {'x': 2.820579493870747, 'y': 2.823207076944582}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,545] Trial 420 finished with value: 6.260789565502911 and parameters: {'x': 1.81156678146324, 'y': 1.1360440007461408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,546] Trial 421 finished with value: 9.21860388769146 and parameters: {'x': 2.4250417759272396, 'y': 2.151886634469717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,547] Trial 422 finished with value: 9.088805627236487 and parameters: {'x': 2.4946484937597644, 'y': 1.489491780477701}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,548] Trial 423 finished with value: 6.226677245473308 and parameters: {'x': 1.1477089283401192, 'y': 2.056377420203176}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,548] Trial 424 finished with value: 8.483973107680615 and parameters: {'x': 2.3302930707241654, 'y': 1.8862617093564347}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,549] Trial 425 finished with value: 10.189866481093429 and parameters: {'x': 2.8205578954962713, 'y': 2.6743642252871402}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,550] Trial 426 finished with value: 4.266283468162449 and parameters: {'x': 1.128574522835871, 'y': 1.0186489038456865}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,551] Trial 427 finished with value: 8.788669762186533 and parameters: {'x': 1.3313453765359875, 'y': 2.4692989209762657}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,552] Trial 428 finished with value: 9.897316989347988 and parameters: {'x': 2.379633485342911, 'y': 2.9387309613275088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,553] Trial 429 finished with value: 7.733897179743261 and parameters: {'x': 2.3548144243288824, 'y': 1.0883146783356357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,554] Trial 430 finished with value: 9.770730743480064 and parameters: {'x': 2.34392440316154, 'y': 2.9737399239212152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,555] Trial 431 finished with value: 6.651404870689522 and parameters: {'x': 1.2401114796732557, 'y': 1.9103876401791673}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,556] Trial 432 finished with value: 8.624387367423939 and parameters: {'x': 2.343842819069655, 'y': 1.402892703320057}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,557] Trial 433 finished with value: 7.319391065120538 and parameters: {'x': 1.3369742062000984, 'y': 1.7193648999124012}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,558] Trial 434 finished with value: 8.63207059410576 and parameters: {'x': 1.568076793133939, 'y': 2.284355408978114}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,558] Trial 435 finished with value: 6.170131843245223 and parameters: {'x': 1.0418953375485036, 'y': 2.135054245104543}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,559] Trial 436 finished with value: 10.369997992085416 and parameters: {'x': 2.61908092246873, 'y': 2.7087079857491236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,560] Trial 437 finished with value: 8.214286391310745 and parameters: {'x': 2.1802285557954493, 'y': 1.6466895137837072}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,561] Trial 438 finished with value: 6.5325083151338745 and parameters: {'x': 1.301511960988448, 'y': 1.2904075186733923}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,562] Trial 439 finished with value: 7.81961102131716 and parameters: {'x': 1.951071480713511, 'y': 2.225511766887371}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,563] Trial 440 finished with value: 8.789791847209642 and parameters: {'x': 1.752568510864902, 'y': 2.9694528025425426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,564] Trial 441 finished with value: 8.845951391776083 and parameters: {'x': 2.9348530597453095, 'y': 1.7386220876900822}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,565] Trial 442 finished with value: 6.8313562893640825 and parameters: {'x': 1.1584195744800634, 'y': 2.1553107291156395}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,566] Trial 443 finished with value: 8.282440802944908 and parameters: {'x': 2.084635187581866, 'y': 2.9245462877708213}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,567] Trial 444 finished with value: 8.144098982016738 and parameters: {'x': 2.170455647030789, 'y': 1.6684600849133298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,567] Trial 445 finished with value: 9.296643075908719 and parameters: {'x': 2.615662796561897, 'y': 1.6100294259063987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,568] Trial 446 finished with value: 9.19390522333622 and parameters: {'x': 2.710246886375865, 'y': 2.130858864690644}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,569] Trial 447 finished with value: 7.531965885725688 and parameters: {'x': 1.9211051500257048, 'y': 1.6758861594909447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,570] Trial 448 finished with value: 7.331382168303733 and parameters: {'x': 1.67953723621456, 'y': 1.3365870657098382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,571] Trial 449 finished with value: 9.116973692268562 and parameters: {'x': 1.820991457831393, 'y': 2.567164362724064}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,572] Trial 450 finished with value: 7.53338235239057 and parameters: {'x': 1.9203094803694931, 'y': 2.1793049604401054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,573] Trial 451 finished with value: 9.224526595418926 and parameters: {'x': 2.9455951435052024, 'y': 1.5139853696768606}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,574] Trial 452 finished with value: 9.223170573081077 and parameters: {'x': 2.8334166644240124, 'y': 2.20836504015143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,575] Trial 453 finished with value: 6.999654263756282 and parameters: {'x': 2.1589629880195247, 'y': 1.1846411930598055}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,575] Trial 454 finished with value: 9.474341672965183 and parameters: {'x': 2.3580782494123866, 'y': 2.279417077265129}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,576] Trial 455 finished with value: 9.253298623237097 and parameters: {'x': 2.253015026281642, 'y': 2.3185464367108874}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,577] Trial 456 finished with value: 8.602639781988247 and parameters: {'x': 2.275602548119463, 'y': 1.624827040663725}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,578] Trial 457 finished with value: 7.068551848614295 and parameters: {'x': 1.2603772254821308, 'y': 1.5837727142113327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,579] Trial 458 finished with value: 7.263162553099972 and parameters: {'x': 1.5488473138379997, 'y': 1.3364308979656776}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,580] Trial 459 finished with value: 5.765175900097962 and parameters: {'x': 1.1229934553422611, 'y': 1.2923904534654271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,581] Trial 460 finished with value: 8.572357997524358 and parameters: {'x': 1.257217475209221, 'y': 2.8270229736591785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,582] Trial 461 finished with value: 7.415567768970856 and parameters: {'x': 1.7180858011424407, 'y': 1.934051058822824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,583] Trial 462 finished with value: 9.803728923767403 and parameters: {'x': 2.5377612159072194, 'y': 2.2768073417972357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,583] Trial 463 finished with value: 9.955064351324634 and parameters: {'x': 2.3275460896894495, 'y': 2.5531141437345415}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,584] Trial 464 finished with value: 5.517910246875086 and parameters: {'x': 1.2201709091358888, 'y': 1.1594546254794982}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,585] Trial 465 finished with value: 8.061151142105938 and parameters: {'x': 2.024787757538992, 'y': 2.9274920965050972}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,586] Trial 466 finished with value: 9.397189288983204 and parameters: {'x': 2.1515716756798198, 'y': 2.5306991635013265}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,587] Trial 467 finished with value: 5.985517249850933 and parameters: {'x': 1.3849905711991588, 'y': 1.055927677523281}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,588] Trial 468 finished with value: 9.097225643154763 and parameters: {'x': 1.4351199031730522, 'y': 2.5454135155465614}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,589] Trial 469 finished with value: 7.349261704988377 and parameters: {'x': 1.35346191711857, 'y': 1.7546081296735883}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,589] Trial 470 finished with value: 9.272408270563856 and parameters: {'x': 2.875235831831837, 'y': 2.938171401114677}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,590] Trial 471 finished with value: 8.069162624819043 and parameters: {'x': 2.9184584255922643, 'y': 1.94201393085539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,591] Trial 472 finished with value: 8.81761865638411 and parameters: {'x': 2.4089709739522425, 'y': 1.8531264383292128}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,592] Trial 473 finished with value: 8.035542180154685 and parameters: {'x': 1.3427513767860373, 'y': 2.222036587264789}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,593] Trial 474 finished with value: 9.231385190851347 and parameters: {'x': 1.6136788146729355, 'y': 2.5427165815495023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,594] Trial 475 finished with value: 8.079791775891733 and parameters: {'x': 1.9125417091420505, 'y': 2.974755165461713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,595] Trial 476 finished with value: 8.341523743372877 and parameters: {'x': 2.5162039041844384, 'y': 1.1370628964009615}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,596] Trial 477 finished with value: 8.111643884158484 and parameters: {'x': 2.4774050077230263, 'y': 1.0731466336537492}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,597] Trial 478 finished with value: 7.5399208344987585 and parameters: {'x': 2.8345234456844723, 'y': 1.0193880363125856}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,597] Trial 479 finished with value: 4.433360827827819 and parameters: {'x': 1.0737285407959989, 'y': 1.1240856472950298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,598] Trial 480 finished with value: 6.96592599656371 and parameters: {'x': 1.917376657427001, 'y': 1.2967197922321945}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,599] Trial 481 finished with value: 6.482139651511581 and parameters: {'x': 1.0444818819023245, 'y': 2.176468521442921}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,600] Trial 482 finished with value: 9.11485254373537 and parameters: {'x': 2.048580208536864, 'y': 2.6071264572872}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,601] Trial 483 finished with value: 5.431608150828463 and parameters: {'x': 1.1894684017034052, 'y': 1.1771668066738374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,602] Trial 484 finished with value: 9.916633525227567 and parameters: {'x': 2.3771078699084693, 'y': 2.9920290455237555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,603] Trial 485 finished with value: 8.672783876245514 and parameters: {'x': 2.986832268951524, 'y': 1.2963533246316374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,603] Trial 486 finished with value: 8.304980857866417 and parameters: {'x': 1.8838423536074562, 'y': 2.293381683328426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,604] Trial 487 finished with value: 8.312468549380213 and parameters: {'x': 2.605279862637339, 'y': 1.104352806033127}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,605] Trial 488 finished with value: 5.853085423960124 and parameters: {'x': 1.8449842618430872, 'y': 1.072398768972538}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,606] Trial 489 finished with value: 10.386651371749663 and parameters: {'x': 2.6310189414260505, 'y': 2.6738996139987643}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,607] Trial 490 finished with value: 8.745469373890751 and parameters: {'x': 2.8645250632754204, 'y': 1.308649034603559}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,608] Trial 491 finished with value: 9.203342174566815 and parameters: {'x': 2.2366663140241325, 'y': 2.3220086289326023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,609] Trial 492 finished with value: 7.620833240361959 and parameters: {'x': 1.7828303566350192, 'y': 1.4731366108109194}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,610] Trial 493 finished with value: 6.443411611560421 and parameters: {'x': 1.087773688862931, 'y': 1.5288574048348782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,610] Trial 494 finished with value: 9.289432601334944 and parameters: {'x': 1.6649581758396033, 'y': 2.6842053451927765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,611] Trial 495 finished with value: 5.398308960090418 and parameters: {'x': 1.0066322310308962, 'y': 1.9593038112676802}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,612] Trial 496 finished with value: 7.862686650656634 and parameters: {'x': 2.8254045010036575, 'y': 1.112352158376197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,613] Trial 497 finished with value: 7.9200738443641665 and parameters: {'x': 2.408098570015621, 'y': 1.0761987677246792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,614] Trial 498 finished with value: 6.712922715771459 and parameters: {'x': 1.2761302578999503, 'y': 1.3688914376676131}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,615] Trial 499 finished with value: 10.186262582979126 and parameters: {'x': 2.4800498669245994, 'y': 2.842080919283535}. Best is trial 100 with value: 4.045505869420193.\n\u001b[2Kreading sources... [ 83%] reference/visualization/generated/optuna.visualization.plot_edf\n[I 2023-11-01 05:28:29,692] A new study created in memory with name: no-name-1de1a4a9-f153-4078-ba61-d36ded30bfc3\n[I 2023-11-01 05:28:29,693] Trial 0 finished with values: [55.34889652925464, 11.46199537588904] and parameters: {'x': 2.372386524452785, 'y': 2.865136351189677}. \n[I 2023-11-01 05:28:29,694] Trial 1 finished with values: [56.70800164294365, 13.602198909363336] and parameters: {'x': 3.361790996747407, 'y': 1.695689153389851}. \n[I 2023-11-01 05:28:29,695] Trial 2 finished with values: [9.017953648800534, 33.25280973302535] and parameters: {'x': 1.4239876420404052, 'y': 0.4761802258770731}. \n[I 2023-11-01 05:28:29,696] Trial 3 finished with values: [69.88165706474729, 8.36307616609464] and parameters: {'x': 2.9235299783801882, 'y': 2.9872038316290297}. \n[I 2023-11-01 05:28:29,697] Trial 4 finished with values: [57.36604995578257, 17.26365736975023] and parameters: {'x': 3.630585803607848, 'y': 1.077199708311693}. \n[I 2023-11-01 05:28:29,698] Trial 5 finished with values: [96.25590572454861, 23.59770461295712] and parameters: {'x': 4.903413743739234, 'y': 0.14321343807876863}. \n[I 2023-11-01 05:28:29,698] Trial 6 finished with values: [9.785821942901176, 30.947779128964918] and parameters: {'x': 1.3352125725046804, 'y': 0.814655063171357}. \n[I 2023-11-01 05:28:29,699] Trial 7 finished with values: [39.058127066973114, 16.456114803165818] and parameters: {'x': 2.604987036191474, 'y': 1.7258546601662719}. \n[I 2023-11-01 05:28:29,700] Trial 8 finished with values: [13.750549530938738, 27.291568606604358] and parameters: {'x': 1.4061791701666393, 'y': 1.2084277074463934}. \n[I 2023-11-01 05:28:29,701] Trial 9 finished with values: [27.743918037418805, 23.273422487990178] and parameters: {'x': 0.8862148121262065, 'y': 2.480040890010246}. \n[I 2023-11-01 05:28:29,702] Trial 10 finished with values: [29.17140542907213, 21.078346180832526] and parameters: {'x': 1.2043427758138718, 'y': 2.417107741829679}. \n[I 2023-11-01 05:28:29,703] Trial 11 finished with values: [0.47465863080311865, 46.313644281377165] and parameters: {'x': 0.03814290368160056, 'y': 0.342359133950762}. \n[I 2023-11-01 05:28:29,704] Trial 12 finished with values: [0.6140574712922668, 44.65579632129314] and parameters: {'x': 0.24031822069059294, 'y': 0.3094535839624001}. \n[I 2023-11-01 05:28:29,705] Trial 13 finished with values: [4.655250749087843, 37.76694788412376] and parameters: {'x': 0.30485505233292354, 'y': 1.0348314279818966}. \n[I 2023-11-01 05:28:29,705] Trial 14 finished with values: [43.20865184786535, 14.33311990858794] and parameters: {'x': 2.2719587041406735, 'y': 2.374945601197166}. \n[I 2023-11-01 05:28:29,707] Trial 15 finished with values: [3.6617989754865596, 40.9900838616555] and parameters: {'x': 0.956097232082494, 'y': 0.036439356139119305}. \n[I 2023-11-01 05:28:29,708] Trial 16 finished with values: [9.287470402816233, 32.32918153853204] and parameters: {'x': 1.4017102417080285, 'y': 0.5975583645091734}. \n[I 2023-11-01 05:28:29,708] Trial 17 finished with values: [23.45554722351253, 30.782467476216315] and parameters: {'x': 2.4199394899295523, 'y': 0.08820244303662927}. \n[I 2023-11-01 05:28:29,709] Trial 18 finished with values: [101.31022861154267, 19.287202345079315] and parameters: {'x': 4.9957531754373, 'y': 0.608282305343335}. \n[I 2023-11-01 05:28:29,710] Trial 19 finished with values: [34.97553016893434, 19.414896735950965] and parameters: {'x': 2.677095798600665, 'y': 1.255802782027597}. \n[I 2023-11-01 05:28:29,711] Trial 20 finished with values: [9.04397651892457, 32.35839934996165] and parameters: {'x': 1.3695811609997972, 'y': 0.620678316977152}. \n[I 2023-11-01 05:28:29,712] Trial 21 finished with values: [81.37403947657059, 18.3490338675357] and parameters: {'x': 4.447206167483923, 'y': 0.7522414326767712}. \n[I 2023-11-01 05:28:29,713] Trial 22 finished with values: [91.056023364684, 16.74074715972646] and parameters: {'x': 4.681452575953331, 'y': 0.9208732921911224}. \n[I 2023-11-01 05:28:29,714] Trial 23 finished with values: [30.376283032164203, 20.714057080236728] and parameters: {'x': 2.473839438519479, 'y': 1.2141619292609533}. \n[I 2023-11-01 05:28:29,715] Trial 24 finished with values: [45.21974770874812, 14.864323807061858] and parameters: {'x': 2.832561846200021, 'y': 1.8114994658124965}. \n[I 2023-11-01 05:28:29,716] Trial 25 finished with values: [24.224236992556637, 24.74157027032271] and parameters: {'x': 2.3250245043465756, 'y': 0.8064243934350693}. \n[I 2023-11-01 05:28:29,717] Trial 26 finished with values: [22.297687619360858, 22.507757450929716] and parameters: {'x': 1.885066274182225, 'y': 1.4216001712088244}. \n[I 2023-11-01 05:28:29,718] Trial 27 finished with values: [57.84089302882202, 10.760973986416854] and parameters: {'x': 2.830180224116485, 'y': 2.5397447029623805}. \n[I 2023-11-01 05:28:29,718] Trial 28 finished with values: [99.60153276997424, 6.186015156906896] and parameters: {'x': 4.239478726703153, 'y': 2.6319580768555135}. \n[I 2023-11-01 05:28:29,719] Trial 29 finished with values: [69.74390680563688, 18.180448059530296] and parameters: {'x': 4.09149390183117, 'y': 0.8340589623567225}. \n[I 2023-11-01 05:28:29,720] Trial 30 finished with values: [2.7743641212249583, 41.715767907305285] and parameters: {'x': 0.06771895742171297, 'y': 0.8300633548783827}. \n[I 2023-11-01 05:28:29,721] Trial 31 finished with values: [41.4064842799614, 19.45059801161605] and parameters: {'x': 3.0418341367928425, 'y': 1.048268169044587}. \n[I 2023-11-01 05:28:29,722] Trial 32 finished with values: [33.62708395957701, 17.453044289978052] and parameters: {'x': 1.9458719528165043, 'y': 2.1495007171751155}. \n[I 2023-11-01 05:28:29,723] Trial 33 finished with values: [31.208551046492623, 23.243384866066854] and parameters: {'x': 2.6846509647286116, 'y': 0.7712243248270183}. \n[I 2023-11-01 05:28:29,724] Trial 34 finished with values: [27.542039912818872, 23.601807377283645] and parameters: {'x': 0.8436713629245274, 'y': 2.48469889716758}. \n[I 2023-11-01 05:28:29,725] Trial 35 finished with values: [47.174022598141676, 13.228127849180865] and parameters: {'x': 2.4120509203611333, 'y': 2.444486859674322}. \n[I 2023-11-01 05:28:29,726] Trial 36 finished with values: [30.515694454923665, 26.842036334726387] and parameters: {'x': 0.3373124442242442, 'y': 2.741376283676209}. \n[I 2023-11-01 05:28:29,727] Trial 37 finished with values: [110.76556017988068, 4.587379324176673] and parameters: {'x': 4.351766443775876, 'y': 2.9586346283034732}. \n[I 2023-11-01 05:28:29,728] Trial 38 finished with values: [1.9912942370369815, 42.20295973854899] and parameters: {'x': 0.6920514403165301, 'y': 0.13743494175449533}. \n[I 2023-11-01 05:28:29,728] Trial 39 finished with values: [73.68418652941345, 8.02169370632535] and parameters: {'x': 3.3204983959252274, 'y': 2.719436896677574}. \n[I 2023-11-01 05:28:29,729] Trial 40 finished with values: [72.39144130078495, 21.276426764318956] and parameters: {'x': 4.230069708974284, 'y': 0.4520736471134442}. \n[I 2023-11-01 05:28:29,730] Trial 41 finished with values: [55.48690900028407, 21.674562642838733] and parameters: {'x': 3.6860440927556617, 'y': 0.5336723679675663}. \n[I 2023-11-01 05:28:29,731] Trial 42 finished with values: [45.835879810223915, 14.52869506155687] and parameters: {'x': 1.873905849021182, 'y': 2.8191216400787287}. \n[I 2023-11-01 05:28:29,732] Trial 43 finished with values: [28.512300393367372, 28.115783849952443] and parameters: {'x': 2.65881774916725, 'y': 0.24241137567169024}. \n[I 2023-11-01 05:28:29,735] Trial 44 finished with values: [39.379073009758244, 21.85311954068964] and parameters: {'x': 3.0458680442502137, 'y': 0.7532968269247781}. \n[I 2023-11-01 05:28:29,736] Trial 45 finished with values: [63.96233636936583, 16.65215684613786] and parameters: {'x': 3.8488008933650453, 'y': 1.0850418312553143}. \n[I 2023-11-01 05:28:29,736] Trial 46 finished with values: [1.417106253451846, 42.72533618503284] and parameters: {'x': 0.2035806268094209, 'y': 0.5593134110235913}. \n[I 2023-11-01 05:28:29,737] Trial 47 finished with values: [27.85399098385412, 19.941166970930595] and parameters: {'x': 1.6163476461319293, 'y': 2.085885431371364}. \n[I 2023-11-01 05:28:29,738] Trial 48 finished with values: [76.21609222898577, 17.536853933631882] and parameters: {'x': 4.2764362233955815, 'y': 0.8752806889658751}. \n[I 2023-11-01 05:28:29,739] Trial 49 finished with values: [45.22427903187175, 19.283708054444645] and parameters: {'x': 3.2139242997210045, 'y': 0.988311870631325}. \n\u001b[2Kreading sources... [ 83%] reference/visualization/generated/optuna.visualization.plot_hypervolume_history\n<string>:17: ExperimentalWarning:\n\nplot_hypervolume_history is experimental (supported from v3.3.0). The interface can change in the future.\n\n[I 2023-11-01 05:28:29,814] A new study created in memory with name: no-name-951db5d6-5dd0-4f4c-903d-32684f8ec755\n[I 2023-11-01 05:28:29,818] Trial 0 finished with value: 0.0019136820148431557 and parameters: {'lr': 0.012169775677700537}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:28:29,822] Trial 1 finished with value: 0.9938688492959205 and parameters: {'lr': 1.2106198691436028e-05}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:28:29,826] Trial 2 finished with value: 0.1745378429868226 and parameters: {'lr': 0.0034244666391252923}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:28:29,830] Trial 3 finished with value: 0.006252957628893589 and parameters: {'lr': 0.009890438121030055}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:28:29,834] Trial 4 finished with value: 0.6055868994372475 and parameters: {'lr': 0.0009863431872330064}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:28:29,835] Trial 5 pruned. \n[I 2023-11-01 05:28:29,836] Trial 6 pruned. \n[I 2023-11-01 05:28:29,876] Trial 7 finished with value: 0.00348251977331975 and parameters: {'lr': 0.011018509458263562}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:28:29,877] Trial 8 pruned. \n[I 2023-11-01 05:28:29,879] Trial 9 pruned. \n[I 2023-11-01 05:28:29,923] Trial 10 finished with value: 2.8413318183320897e-13 and parameters: {'lr': 0.053753912442422704}. Best is trial 10 with value: 2.8413318183320897e-13.\n[I 2023-11-01 05:28:29,969] Trial 11 finished with value: 3.23351297854631e-20 and parameters: {'lr': 0.08097836606986637}. Best is trial 11 with value: 3.23351297854631e-20.\n[I 2023-11-01 05:28:30,014] Trial 12 finished with value: 1.5818620680169856e-23 and parameters: {'lr': 0.09336678872953223}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:28:30,059] Trial 13 finished with value: 8.701934191941001e-16 and parameters: {'lr': 0.06380854538856418}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:28:30,108] Trial 14 finished with value: 1.3380099081736585e-15 and parameters: {'lr': 0.0630691017367573}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:28:30,155] Trial 15 finished with value: 1.380974859858719e-22 and parameters: {'lr': 0.08988313704170887}. Best is trial 12 with value: 1.5818620680169856e-23.\n\u001b[2Kreading sources... [ 84%] reference/visualization/generated/optuna.visualization.plot_intermediate_values\n[I 2023-11-01 05:28:30,274] A new study created in memory with name: no-name-f1f2d988-007b-4bb0-b74a-b413cb5f2024\n[I 2023-11-01 05:28:30,276] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:28:30,277] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,278] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,278] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,279] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,280] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,281] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,282] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,283] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,284] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 84%] reference/visualization/generated/optuna.visualization.plot_optimization_history\n[I 2023-11-01 05:28:30,371] A new study created in memory with name: no-name-eccc748d-0c85-44b9-ab30-5933b04aab47\n[I 2023-11-01 05:28:30,372] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:28:30,373] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,374] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,374] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,375] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,376] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,378] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,379] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,380] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,381] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 85%] reference/visualization/generated/optuna.visualization.plot_parallel_coordinate\n[I 2023-11-01 05:28:30,457] A new study created in memory with name: no-name-0d09e0fa-112d-469a-8c04-54a8576bbc8e\n[I 2023-11-01 05:28:30,459] Trial 0 finished with value: 2.303288077753039 and parameters: {'x': 2, 'y': -0.958496101281197, 'z': 0.9504723523894132}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:28:30,460] Trial 1 finished with value: 3.987072181809778 and parameters: {'x': 2, 'y': -0.0029859753948191514, 'z': 0.3371949682962715}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:28:30,461] Trial 2 finished with value: 0.1373303052750334 and parameters: {'x': 0, 'y': 0.5210614243979175, 'z': 0.2536662548438032}. Best is trial 2 with value: 0.1373303052750334.\n[I 2023-11-01 05:28:30,462] Trial 3 finished with value: -4.131719919585369 and parameters: {'x': 0, 'y': 0.3707196367355945, 'z': 1.4300900192924049}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,463] Trial 4 finished with value: -2.2075688995928044 and parameters: {'x': 0, 'y': 0.024384526771553228, 'z': 1.2189314424781703}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,464] Trial 5 finished with value: 1.0504976105266983 and parameters: {'x': 1, 'y': 0.4435106348635991, 'z': 0.43781410225594974}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,465] Trial 6 finished with value: 3.6403994820820413 and parameters: {'x': 2, 'y': 0.42915156679538113, 'z': 0.8138165520168918}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,466] Trial 7 finished with value: -1.0618155340386866 and parameters: {'x': 0, 'y': -0.2533184798970616, 'z': 1.011200422599518}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,467] Trial 8 finished with value: 0.26036828149432933 and parameters: {'x': 1, 'y': -0.13197201333341257, 'z': 0.9266504677039757}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,468] Trial 9 finished with value: 0.3665588473301721 and parameters: {'x': 1, 'y': 0.30079436386293446, 'z': 0.9015584301068166}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,469] Trial 10 finished with value: 0.5490457030167408 and parameters: {'x': 2, 'y': 0.043294304787268256, 'z': 1.3629733212130024}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,470] Trial 11 finished with value: -0.5909072245888702 and parameters: {'x': 0, 'y': -0.8190813014581853, 'z': 0.45105008495430504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,471] Trial 12 finished with value: 0.28403878205829847 and parameters: {'x': 0, 'y': 0.6573626526153533, 'z': 0.07034447908387464}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,472] Trial 13 finished with value: -1.2800539009325118 and parameters: {'x': 1, 'y': 0.09517231183848707, 'z': 1.228930493505103}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,473] Trial 14 finished with value: 0.28612245684320287 and parameters: {'x': 0, 'y': 0.7137006049154664, 'z': 0.5274789591481319}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,474] Trial 15 finished with value: 0.8413984238191299 and parameters: {'x': 2, 'y': -0.4080765862406426, 'z': 1.3259047193417794}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,475] Trial 16 finished with value: -0.4209059689419605 and parameters: {'x': 0, 'y': -0.669968204561703, 'z': 0.5887938659198809}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,476] Trial 17 finished with value: 0.2622281285098704 and parameters: {'x': 0, 'y': 0.6422113156738569, 'z': 0.2267280294638458}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,477] Trial 18 finished with value: -3.1150676084049143 and parameters: {'x': 1, 'y': 0.8885214244776023, 'z': 1.4814382123528085}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,478] Trial 19 finished with value: 1.2572674813923508 and parameters: {'x': 1, 'y': 0.6522456876854796, 'z': 0.377061201310589}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,479] Trial 20 finished with value: 1.109576126625988 and parameters: {'x': 1, 'y': 0.8056635206632548, 'z': 0.8018369232027226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,481] Trial 21 finished with value: 0.13525979446250405 and parameters: {'x': 1, 'y': -0.9214364655492253, 'z': 0.5357726379518044}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,482] Trial 22 finished with value: -0.11946269307197326 and parameters: {'x': 0, 'y': -0.38908016331436346, 'z': 0.496078967973198}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,483] Trial 23 finished with value: 3.048844180430364 and parameters: {'x': 2, 'y': -0.9200815826200455, 'z': 0.6442382676474575}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,488] Trial 24 finished with value: -0.052504516247150426 and parameters: {'x': 0, 'y': 0.27298228613508924, 'z': 0.5195207251200495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,490] Trial 25 finished with value: -1.2792692674509083 and parameters: {'x': 0, 'y': 0.759830349035832, 'z': 1.1448608807155216}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,491] Trial 26 finished with value: 3.314670809360776 and parameters: {'x': 2, 'y': -0.16498171232146608, 'z': 0.9083663465906351}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,492] Trial 27 finished with value: 0.9835588143169801 and parameters: {'x': 1, 'y': 0.1956732959259473, 'z': 0.3933234916979254}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,493] Trial 28 finished with value: -0.8979185222841687 and parameters: {'x': 0, 'y': -0.9492004358997879, 'z': 0.45459384097655214}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,494] Trial 29 finished with value: -0.5162192525906403 and parameters: {'x': 0, 'y': 0.11515637732528838, 'z': 0.8482605298322513}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,495] Trial 30 finished with value: 0.9287478215836122 and parameters: {'x': 1, 'y': -0.4144040474209818, 'z': 0.09637659104223667}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,496] Trial 31 finished with value: 3.6629941314557772 and parameters: {'x': 2, 'y': -0.3205843127242727, 'z': 0.7425729463236814}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,498] Trial 32 finished with value: 3.9463906776735107 and parameters: {'x': 2, 'y': -0.11845235019866696, 'z': 0.4774092082184268}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,499] Trial 33 finished with value: -1.6881011620090576 and parameters: {'x': 1, 'y': 0.156272859764935, 'z': 1.2809006257507296}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,500] Trial 34 finished with value: -1.893044916603758 and parameters: {'x': 0, 'y': -0.07093838444133493, 'z': 1.1729236779287227}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,501] Trial 35 finished with value: 4.005082765391397 and parameters: {'x': 2, 'y': 0.1720439601063517, 'z': 0.05564161985161181}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,502] Trial 36 finished with value: 0.9611598377675362 and parameters: {'x': 1, 'y': 0.12638136898549002, 'z': 0.44959480863684426}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,503] Trial 37 finished with value: 1.0385066437780113 and parameters: {'x': 1, 'y': 0.34693385056944104, 'z': 0.23879060006714026}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,504] Trial 38 finished with value: -0.03481869624869508 and parameters: {'x': 0, 'y': -0.32436822587064107, 'z': 0.16209565916917884}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,505] Trial 39 finished with value: 0.36926790170369916 and parameters: {'x': 0, 'y': 0.7716541923354114, 'z': 0.5480474568211737}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,506] Trial 40 finished with value: 0.12812115659454607 and parameters: {'x': 0, 'y': 0.5049923404372056, 'z': 0.16031937659035372}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,507] Trial 41 finished with value: 3.3512758155964324 and parameters: {'x': 2, 'y': -0.060429413119011066, 'z': 0.8973835069186638}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,508] Trial 42 finished with value: -1.128945814699914 and parameters: {'x': 0, 'y': -0.6319303558136975, 'z': 0.9676081897023627}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,509] Trial 43 finished with value: -0.5652914601075866 and parameters: {'x': 0, 'y': -0.5027749843944611, 'z': 0.8136127743420063}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,510] Trial 44 finished with value: -3.6754171752298412 and parameters: {'x': 0, 'y': -0.23717693019073582, 'z': 1.3833491803553195}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,511] Trial 45 finished with value: 3.5923565401224673 and parameters: {'x': 2, 'y': 0.1334998491499999, 'z': 0.800206327483504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,512] Trial 46 finished with value: 0.3273232510679114 and parameters: {'x': 0, 'y': 0.9557985268040099, 'z': 0.8595433560497787}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,513] Trial 47 finished with value: 1.0025147792970173 and parameters: {'x': 2, 'y': 0.12311472055273787, 'z': 1.316002862347402}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,514] Trial 48 finished with value: 1.0704131899221963 and parameters: {'x': 1, 'y': 0.41769965273791043, 'z': 0.22280017703468785}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,515] Trial 49 finished with value: 1.0577053447123854 and parameters: {'x': 1, 'y': 0.38778013268482336, 'z': 0.15692961678427975}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,516] Trial 50 finished with value: 0.3680190757085285 and parameters: {'x': 1, 'y': -0.6675957045909326, 'z': 0.7604679438960711}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,517] Trial 51 finished with value: 1.3747495993933643 and parameters: {'x': 2, 'y': -0.8197865305511229, 'z': 1.2001031260412178}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,518] Trial 52 finished with value: 0.9979094500663931 and parameters: {'x': 1, 'y': 0.1786954233612148, 'z': 0.29715098582440336}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,519] Trial 53 finished with value: 0.9319764488693013 and parameters: {'x': 1, 'y': -0.4081924755583253, 'z': 0.05633651391251654}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,520] Trial 54 finished with value: -1.5592042740852488 and parameters: {'x': 0, 'y': -0.09378999959753309, 'z': 1.1172961154251015}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,521] Trial 55 finished with value: 0.9838292684588362 and parameters: {'x': 1, 'y': -0.22977280086902696, 'z': 0.2521091962989279}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,522] Trial 56 finished with value: 2.1076623237986754 and parameters: {'x': 2, 'y': 0.19810359492298524, 'z': 1.1740722273674566}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,523] Trial 57 finished with value: 2.1246831699758735 and parameters: {'x': 2, 'y': 0.20632595172406965, 'z': 1.1715909259354231}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,524] Trial 58 finished with value: -1.4840880698467611 and parameters: {'x': 1, 'y': -0.95766961765569, 'z': 1.1256969157312366}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,525] Trial 59 finished with value: -0.3515250197672625 and parameters: {'x': 0, 'y': -0.08297158752545397, 'z': 0.7696840615983677}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,527] Trial 60 finished with value: 1.3220296764593489 and parameters: {'x': 1, 'y': 0.6887715890786952, 'z': 0.2622208422331791}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,528] Trial 61 finished with value: -1.2007575031405602 and parameters: {'x': 0, 'y': 0.6975281436224643, 'z': 1.1140118659491511}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,529] Trial 62 finished with value: 0.994468973365035 and parameters: {'x': 1, 'y': -0.1662031859012445, 'z': 0.1750942664204449}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,530] Trial 63 finished with value: -0.8620345557039887 and parameters: {'x': 1, 'y': -0.8106819185126939, 'z': 1.0737463091269712}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,531] Trial 64 finished with value: -0.7521010442890089 and parameters: {'x': 0, 'y': -0.588099483262055, 'z': 0.8606643471768032}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,532] Trial 65 finished with value: -2.080632890204889 and parameters: {'x': 0, 'y': 0.3114534854291964, 'z': 1.2053525216148295}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,533] Trial 66 finished with value: -1.7527509150220157 and parameters: {'x': 1, 'y': -0.8131192461124659, 'z': 1.2199741255062062}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,534] Trial 67 finished with value: 1.1629406477988748 and parameters: {'x': 2, 'y': -0.2131617751269692, 'z': 1.2967187907029298}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,535] Trial 68 finished with value: -1.5100225453807168 and parameters: {'x': 1, 'y': -0.48539422558999235, 'z': 1.2441028797408538}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,536] Trial 69 finished with value: 3.1274555273715547 and parameters: {'x': 2, 'y': 0.015201816109918775, 'z': 0.9664899225621255}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,537] Trial 70 finished with value: -3.911644822917701 and parameters: {'x': 0, 'y': 0.7914178974071162, 'z': 1.4489193772617226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,538] Trial 71 finished with value: 0.34386198109125343 and parameters: {'x': 0, 'y': 0.7311052364545663, 'z': 0.46542556041017846}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,539] Trial 72 finished with value: -0.7388007953082896 and parameters: {'x': 0, 'y': -0.9016096844525427, 'z': 0.27694025702139824}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,540] Trial 73 finished with value: -3.6407063057001596 and parameters: {'x': 0, 'y': -0.4850491531909138, 'z': 1.370372597356012}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,541] Trial 74 finished with value: -1.5826031648960468 and parameters: {'x': 1, 'y': -0.7395764210408102, 'z': 1.2148374981002679}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,542] Trial 75 finished with value: -2.589088162728826 and parameters: {'x': 1, 'y': -0.9511347100336718, 'z': 1.2852465639416288}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,543] Trial 76 finished with value: -0.007960371974823174 and parameters: {'x': 0, 'y': 0.4182119281439811, 'z': 0.533658514235495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,544] Trial 77 finished with value: 3.9028308169237502 and parameters: {'x': 2, 'y': 0.6892377222877011, 'z': 0.8072212757099377}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,545] Trial 78 finished with value: 0.46670116449600285 and parameters: {'x': 1, 'y': -0.7549800371251603, 'z': 0.5664628778611204}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,546] Trial 79 finished with value: -2.2015513126587933 and parameters: {'x': 1, 'y': 0.022417292570930725, 'z': 1.3376438549035414}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,547] Trial 80 finished with value: -2.013616301607068 and parameters: {'x': 0, 'y': -0.207116242243099, 'z': 1.189909849541421}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,548] Trial 81 finished with value: -1.7738059712887448 and parameters: {'x': 1, 'y': -0.6302649000181753, 'z': 1.2603709741325857}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,550] Trial 82 finished with value: -4.523011054108479 and parameters: {'x': 1, 'y': -0.8798995888983607, 'z': 1.4833754612943018}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:28:30,551] Trial 83 finished with value: -0.08079888724155815 and parameters: {'x': 0, 'y': 0.22940342596033925, 'z': 0.5520400212531891}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:28:30,552] Trial 84 finished with value: 1.7141266522072458 and parameters: {'x': 2, 'y': 0.25512370541125784, 'z': 1.2318247142973906}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:28:30,553] Trial 85 finished with value: -0.7520872270920254 and parameters: {'x': 0, 'y': -0.4504097368144626, 'z': 0.901577836698765}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:28:30,554] Trial 86 finished with value: 4.046893464626376 and parameters: {'x': 2, 'y': 0.41459261868287456, 'z': 0.3951047474351363}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:28:30,555] Trial 87 finished with value: -4.571964349495191 and parameters: {'x': 0, 'y': -0.08255154162027267, 'z': 1.4622187490950038}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,556] Trial 88 finished with value: 3.769073758442562 and parameters: {'x': 2, 'y': -0.6134925354270779, 'z': 0.0701088407420925}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,557] Trial 89 finished with value: 1.9906707709215672 and parameters: {'x': 2, 'y': 0.7172980309368531, 'z': 1.2418547636228567}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,558] Trial 90 finished with value: 0.20579475832853023 and parameters: {'x': 2, 'y': 0.1978728981453497, 'z': 1.3963737537716272}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,559] Trial 91 finished with value: -0.5572192676601909 and parameters: {'x': 0, 'y': -0.7720793824906156, 'z': 0.5580433532607516}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,560] Trial 92 finished with value: 3.115262529317084 and parameters: {'x': 2, 'y': -0.3577159370700811, 'z': 0.9570526220169401}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,561] Trial 93 finished with value: -0.06522562849929504 and parameters: {'x': 0, 'y': 0.08693007694983201, 'z': 0.5066319703277753}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,562] Trial 94 finished with value: 4.574547370310522 and parameters: {'x': 2, 'y': 0.8814140769664465, 'z': 0.5761827737303541}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,563] Trial 95 finished with value: 1.5015652459171465 and parameters: {'x': 1, 'y': 0.7945598896386961, 'z': 0.08823355215277057}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,564] Trial 96 finished with value: 0.5950628609995365 and parameters: {'x': 1, 'y': -0.7396489187381752, 'z': 0.13045411338692636}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,565] Trial 97 finished with value: 3.3511994815140613 and parameters: {'x': 2, 'y': -0.3908532893067598, 'z': 0.8760838088329035}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,566] Trial 98 finished with value: 3.781443021265078 and parameters: {'x': 2, 'y': 0.7615841212270811, 'z': 0.9014313108685146}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,567] Trial 99 finished with value: 0.26309303070193535 and parameters: {'x': 1, 'y': -0.8867435943237876, 'z': 0.44622614546388273}. Best is trial 87 with value: -4.571964349495191.\n\u001b[2Kreading sources... [ 85%] reference/visualization/generated/optuna.visualization.plot_param_importances\n[I 2023-11-01 05:28:32,285] A new study created in memory with name: no-name-0f2512ef-c610-4616-ad80-f62e559cc591\n[I 2023-11-01 05:28:32,286] Trial 0 finished with values: [17.51036539964409, 26.005413544153832] and parameters: {'x': 1.8385428033643803, 'y': 0.9986749772113391}. \n[I 2023-11-01 05:28:32,287] Trial 1 finished with values: [34.24479329450102, 24.80912271172008] and parameters: {'x': 0.49069415930665994, 'y': 2.884513401883858}. \n[I 2023-11-01 05:28:32,288] Trial 2 finished with values: [31.083067105368066, 25.048220846332406] and parameters: {'x': 2.735432012135339, 'y': 0.5368225808656225}. \n[I 2023-11-01 05:28:32,289] Trial 3 finished with values: [104.20121655223096, 12.313267694167042] and parameters: {'x': 4.8807017365624645, 'y': 1.4930019078266055}. \n[I 2023-11-01 05:28:32,290] Trial 4 finished with values: [80.42092472123605, 6.810766657708406] and parameters: {'x': 3.357447101525994, 'y': 2.9719993507340665}. \n[I 2023-11-01 05:28:32,291] Trial 5 finished with values: [60.21773135035349, 24.874099336278945] and parameters: {'x': 3.8774567779596114, 'y': 0.1405765721713308}. \n[I 2023-11-01 05:28:32,292] Trial 6 finished with values: [58.19640526573633, 10.609939864437987] and parameters: {'x': 2.665848381894378, 'y': 2.7280677633052317}. \n[I 2023-11-01 05:28:32,293] Trial 7 finished with values: [7.498090692076783, 32.60750659438443] and parameters: {'x': 1.0593537469786645, 'y': 0.8673478608848121}. \n[I 2023-11-01 05:28:32,294] Trial 8 finished with values: [22.615603504299166, 24.033606123003366] and parameters: {'x': 1.008875910654734, 'y': 2.1531535646524085}. \n[I 2023-11-01 05:28:32,294] Trial 9 finished with values: [51.78773223057058, 23.871048293855257] and parameters: {'x': 3.5835655729597855, 'y': 0.3240229034189537}. \n[I 2023-11-01 05:28:32,295] Trial 10 finished with values: [86.00928614076577, 8.227903229132016] and parameters: {'x': 4.025132975626166, 'y': 2.3023088549797768}. \n[I 2023-11-01 05:28:32,296] Trial 11 finished with values: [104.09679114947612, 15.751990779156515] and parameters: {'x': 4.996096554544834, 'y': 1.031124146276418}. \n[I 2023-11-01 05:28:32,297] Trial 12 finished with values: [25.72559879941316, 29.69053859748491] and parameters: {'x': 2.5320391717172344, 'y': 0.14204693851960348}. \n[I 2023-11-01 05:28:32,298] Trial 13 finished with values: [90.20405927842945, 6.452495340644873] and parameters: {'x': 3.899040202465438, 'y': 2.710811745430811}. \n[I 2023-11-01 05:28:32,299] Trial 14 finished with values: [20.688348330935234, 31.16575757456028] and parameters: {'x': 2.2704958530035713, 'y': 0.1301370978137819}. \n[I 2023-11-01 05:28:32,304] Trial 15 finished with values: [83.59959147278371, 14.105348138530035] and parameters: {'x': 4.384362309543177, 'y': 1.2950926634234126}. \n[I 2023-11-01 05:28:32,305] Trial 16 finished with values: [36.80607156024476, 16.361615132378894] and parameters: {'x': 2.254315101877193, 'y': 2.029675173891037}. \n[I 2023-11-01 05:28:32,306] Trial 17 finished with values: [30.57555383419924, 18.808656634679885] and parameters: {'x': 2.1687112601525103, 'y': 1.7148119222344826}. \n[I 2023-11-01 05:28:32,307] Trial 18 finished with values: [21.65264512403334, 30.957250013989988] and parameters: {'x': 2.3234097785750714, 'y': 0.12218134812676329}. \n[I 2023-11-01 05:28:32,308] Trial 19 finished with values: [45.6328282927594, 13.861020067074357] and parameters: {'x': 2.148741642967455, 'y': 2.605977057644094}. \n[I 2023-11-01 05:28:32,309] Trial 20 finished with values: [82.2055024230382, 25.004793391801883] and parameters: {'x': 4.533312249918512, 'y': 0.021345971477254255}. \n[I 2023-11-01 05:28:32,310] Trial 21 finished with values: [11.2638199891938, 33.349506982545435] and parameters: {'x': 1.6520130540337759, 'y': 0.2946317474415252}. \n[I 2023-11-01 05:28:32,311] Trial 22 finished with values: [22.419133889530894, 30.4359021759024] and parameters: {'x': 2.3623961796825226, 'y': 0.1544919499655103}. \n[I 2023-11-01 05:28:32,311] Trial 23 finished with values: [22.358042046020422, 22.76970830535809] and parameters: {'x': 1.9602184198696793, 'y': 1.3217618007450223}. \n[I 2023-11-01 05:28:32,313] Trial 24 finished with values: [35.396819251824624, 21.644312510273075] and parameters: {'x': 0.8783625558508301, 'y': 2.8421266744174782}. \n[I 2023-11-01 05:28:32,314] Trial 25 finished with values: [8.977659811895204, 33.791981537695435] and parameters: {'x': 1.4431759226183205, 'y': 0.40206741890951614}. \n[I 2023-11-01 05:28:32,315] Trial 26 finished with values: [15.211765830887023, 29.767236820744714] and parameters: {'x': 0.5256321534924202, 'y': 1.8779383102052838}. \n[I 2023-11-01 05:28:32,316] Trial 27 finished with values: [71.02248599263751, 18.67179362025205] and parameters: {'x': 4.143793521974521, 'y': 0.7645892658162116}. \n[I 2023-11-01 05:28:32,317] Trial 28 finished with values: [13.749636377597263, 33.603390293076586] and parameters: {'x': 0.1342431902780794, 'y': 1.8491586898541938}. \n[I 2023-11-01 05:28:32,318] Trial 29 finished with values: [37.99891366193827, 16.264615766762336] and parameters: {'x': 1.8848498842598933, 'y': 2.43866138061233}. \n[I 2023-11-01 05:28:32,319] Trial 30 finished with values: [25.500541294747087, 20.82560507936128] and parameters: {'x': 1.9452409612597292, 'y': 1.60971206317282}. \n[I 2023-11-01 05:28:32,320] Trial 31 finished with values: [30.448548468638588, 19.616005462996032] and parameters: {'x': 2.3434319955042557, 'y': 1.4561811699121059}. \n[I 2023-11-01 05:28:32,321] Trial 32 finished with values: [8.543170285545377, 31.468624046565218] and parameters: {'x': 1.0251945662606476, 'y': 1.0415222862214648}. \n[I 2023-11-01 05:28:32,322] Trial 33 finished with values: [86.2280839191978, 7.584481496916727] and parameters: {'x': 3.938421520067025, 'y': 2.4588324282212475}. \n[I 2023-11-01 05:28:32,323] Trial 34 finished with values: [82.50403742818854, 15.583103893627026] and parameters: {'x': 4.407047407403136, 'y': 1.0972431389388755}. \n[I 2023-11-01 05:28:32,324] Trial 35 finished with values: [37.58642525918006, 17.218183510675193] and parameters: {'x': 1.6081669272533987, 'y': 2.6096753531585835}. \n[I 2023-11-01 05:28:32,325] Trial 36 finished with values: [39.80158375981972, 16.18811203045881] and parameters: {'x': 1.7552698382988041, 'y': 2.620958552650808}. \n[I 2023-11-01 05:28:32,326] Trial 37 finished with values: [80.47403287490975, 7.727898440814708] and parameters: {'x': 3.692054408233746, 'y': 2.547006569557527}. \n[I 2023-11-01 05:28:32,326] Trial 38 finished with values: [30.92409799321713, 18.778596352488123] and parameters: {'x': 2.216476578367568, 'y': 1.6787662362140479}. \n[I 2023-11-01 05:28:32,327] Trial 39 finished with values: [37.477852986008486, 16.439845959338484] and parameters: {'x': 1.8683594480752692, 'y': 2.4246022806410945}. \n[I 2023-11-01 05:28:32,328] Trial 40 finished with values: [33.352298756650086, 23.503224211783564] and parameters: {'x': 2.8072800995216736, 'y': 0.6762049482162219}. \n[I 2023-11-01 05:28:32,329] Trial 41 finished with values: [46.96958805300483, 14.296794222887966] and parameters: {'x': 2.8657225842604976, 'y': 1.8788376947758265}. \n[I 2023-11-01 05:28:32,330] Trial 42 finished with values: [124.5743113291259, 4.233782515386345] and parameters: {'x': 4.730926029459466, 'y': 2.960053502230047}. \n[I 2023-11-01 05:28:32,331] Trial 43 finished with values: [34.63760056395783, 21.029322414397118] and parameters: {'x': 0.9928851850739678, 'y': 2.770122587585266}. \n[I 2023-11-01 05:28:32,332] Trial 44 finished with values: [6.371132562903434, 34.42693514404985] and parameters: {'x': 0.6139039247567935, 'y': 1.1026808749108075}. \n[I 2023-11-01 05:28:32,334] Trial 45 finished with values: [110.51851945007877, 5.361875428788721] and parameters: {'x': 4.484159852628244, 'y': 2.7426155907448537}. \n[I 2023-11-01 05:28:32,335] Trial 46 finished with values: [18.396158449411985, 24.930639783206153] and parameters: {'x': 1.7980387053336733, 'y': 1.1688012775810113}. \n[I 2023-11-01 05:28:32,336] Trial 47 finished with values: [23.553038355158975, 30.552525587387127] and parameters: {'x': 0.10947029954679055, 'y': 2.424103100593471}. \n[I 2023-11-01 05:28:32,337] Trial 48 finished with values: [129.99413373858516, 4.202537796415826] and parameters: {'x': 4.8758457666951, 'y': 2.953753797127946}. \n[I 2023-11-01 05:28:32,338] Trial 49 finished with values: [74.81529230636848, 11.947906319154267] and parameters: {'x': 3.977456454394646, 'y': 1.6981352213491392}. \n[I 2023-11-01 05:28:32,386] A new study created in memory with name: no-name-0247772a-1666-49b2-b8fe-035fb36f2c37\n[I 2023-11-01 05:28:32,388] Trial 0 finished with values: [66.51405186192238, 128.39395469725352, 4.253640113532251] and parameters: {'x': 3.613431953021031, 'y': 0.6402081605112202}. \n[I 2023-11-01 05:28:32,389] Trial 1 finished with values: [14.254770725082174, 148.9665326187382, 2.7446426386977882] and parameters: {'x': 1.1568523127435855, 'y': 1.5877903259542028}. \n[I 2023-11-01 05:28:32,390] Trial 2 finished with values: [32.54810056126128, 141.08651370100353, 3.2843290957273843] and parameters: {'x': 2.4727326700037384, 'y': 0.811596425723646}. \n[I 2023-11-01 05:28:32,390] Trial 3 finished with values: [4.677530823967064, 175.13410048651423, 1.292789059234706] and parameters: {'x': 0.9240903122373767, 'y': 0.3686987469973294}. \n[I 2023-11-01 05:28:32,391] Trial 4 finished with values: [54.377285808531695, 138.77762857043058, 3.606918432268033] and parameters: {'x': 3.2885630723127357, 'y': 0.3183553599552975}. \n[I 2023-11-01 05:28:32,392] Trial 5 finished with values: [44.62132090323866, 146.7799877360611, 3.1075097746680553] and parameters: {'x': 2.9858642982369514, 'y': 0.1216454764311038}. \n[I 2023-11-01 05:28:32,393] Trial 6 finished with values: [32.03939065119614, 143.4592416629389, 3.156703664397384] and parameters: {'x': 2.475827720029849, 'y': 0.6808759443675353}. \n[I 2023-11-01 05:28:32,394] Trial 7 finished with values: [59.89470529741372, 114.95146830037888, 4.910111629479088] and parameters: {'x': 3.196373149956978, 'y': 1.7137384795221098}. \n[I 2023-11-01 05:28:32,395] Trial 8 finished with values: [92.51463646188427, 119.72491485574125, 4.948118161907244] and parameters: {'x': 4.269238935701882, 'y': 0.6788792262053623}. \n[I 2023-11-01 05:28:32,396] Trial 9 finished with values: [101.80744698048107, 87.25950647599078, 6.825912243198784] and parameters: {'x': 3.9034723619222462, 'y': 2.9224398812765386}. \n[I 2023-11-01 05:28:32,397] Trial 10 finished with values: [54.99535303562035, 113.4786725856997, 4.959812727654919] and parameters: {'x': 2.9129513915637286, 'y': 2.04686133609119}. \n[I 2023-11-01 05:28:32,398] Trial 11 finished with values: [91.2423463617904, 94.6027309395139, 6.307208171042922] and parameters: {'x': 3.807995751092257, 'y': 2.4992124199506653}. \n[I 2023-11-01 05:28:32,399] Trial 12 finished with values: [47.26618294037921, 123.90217176783239, 4.320287951844051] and parameters: {'x': 2.8585302627608273, 'y': 1.4617576890832242}. \n[I 2023-11-01 05:28:32,400] Trial 13 finished with values: [23.94832768760376, 137.52747871595926, 3.416020106759425] and parameters: {'x': 1.7895090296168576, 'y': 1.6265110771425673}. \n[I 2023-11-01 05:28:32,401] Trial 14 finished with values: [123.9100686288477, 109.35232293704622, 5.785994252645041] and parameters: {'x': 4.934239792460765, 'y': 0.8517544601842764}. \n[I 2023-11-01 05:28:32,401] Trial 15 finished with values: [64.05248887767407, 113.18393277180213, 5.0403334925794345] and parameters: {'x': 3.322700784565294, 'y': 1.7176327080141405}. \n[I 2023-11-01 05:28:32,402] Trial 16 finished with values: [15.30109898882454, 150.54237270581854, 2.652045448846544] and parameters: {'x': 1.5085181372088803, 'y': 1.1435273116376639}. \n[I 2023-11-01 05:28:32,403] Trial 17 finished with values: [4.961089034155023, 168.87102955471053, 1.6266162655964882] and parameters: {'x': 0.6127905165038666, 'y': 1.0138257490926215}. \n[I 2023-11-01 05:28:32,404] Trial 18 finished with values: [101.89555614387784, 121.56063113251085, 4.944860255084132] and parameters: {'x': 4.501224691197799, 'y': 0.44363556388633263}. \n[I 2023-11-01 05:28:32,405] Trial 19 finished with values: [7.003940555081302, 163.6403286494119, 1.9101205749049273] and parameters: {'x': 0.8589878091539022, 'y': 1.0511327657510252}. \n[I 2023-11-01 05:28:32,406] Trial 20 finished with values: [60.75076388297276, 122.58959120581629, 4.503538855639122] and parameters: {'x': 3.374141292771876, 'y': 1.1293975628672461}. \n[I 2023-11-01 05:28:32,407] Trial 21 finished with values: [8.52266050378603, 169.1352435185143, 1.6309796362061229] and parameters: {'x': 1.2763525719556772, 'y': 0.35462706425044566}. \n[I 2023-11-01 05:28:32,408] Trial 22 finished with values: [63.97040546764423, 113.64660871548071, 5.014041527604506] and parameters: {'x': 3.3307722576702647, 'y': 1.683269269934241}. \n[I 2023-11-01 05:28:32,409] Trial 23 finished with values: [64.03458286923122, 105.69359581734938, 5.4737837440138355] and parameters: {'x': 3.0435810139006456, 'y': 2.43020273011319}. \n[I 2023-11-01 05:28:32,410] Trial 24 finished with values: [55.798043821743946, 108.88009856543096, 5.24400628246709] and parameters: {'x': 2.6941947941291895, 'y': 2.549811488337901}. \n[I 2023-11-01 05:28:32,411] Trial 25 finished with values: [80.74201589621185, 104.63247855435364, 5.649069785822386] and parameters: {'x': 3.7349961903466373, 'y': 1.9140735954757484}. \n[I 2023-11-01 05:28:32,412] Trial 26 finished with values: [19.27651378376268, 153.6446228541178, 2.5180442092423903] and parameters: {'x': 1.9052549261012102, 'y': 0.6127892831411801}. \n[I 2023-11-01 05:28:32,413] Trial 27 finished with values: [23.98265286925981, 135.64433683073645, 3.5679614825096] and parameters: {'x': 1.2190064451171763, 'y': 2.348955037392424}. \n[I 2023-11-01 05:28:32,414] Trial 28 finished with values: [75.44480576587318, 123.24118956865217, 4.604096875879513] and parameters: {'x': 3.8389728122992617, 'y': 0.7651240635802518}. \n[I 2023-11-01 05:28:32,415] Trial 29 finished with values: [137.35211359441377, 87.14507757986648, 7.107295791465884] and parameters: {'x': 4.973888487233168, 'y': 2.133407304232716}. \n[I 2023-11-01 05:28:32,415] Trial 30 finished with values: [109.17251096303725, 106.95948737384168, 5.772141587812521] and parameters: {'x': 4.580696102818924, 'y': 1.191445484993597}. \n[I 2023-11-01 05:28:32,416] Trial 31 finished with values: [112.19027591273917, 98.93873833560303, 6.231111065325132] and parameters: {'x': 4.555622733854407, 'y': 1.6754883314707247}. \n[I 2023-11-01 05:28:32,417] Trial 32 finished with values: [96.74489176131696, 94.53036685363588, 6.350863837103546] and parameters: {'x': 4.006367492766769, 'y': 2.3444963443367772}. \n[I 2023-11-01 05:28:32,418] Trial 33 finished with values: [55.66121837106375, 114.53168125904665, 4.903336063010671] and parameters: {'x': 2.9888133776871633, 'y': 1.9145226853235073}. \n[I 2023-11-01 05:28:32,419] Trial 34 finished with values: [2.279612174140527, 178.6137283914836, 1.1007339111273575] and parameters: {'x': 0.4440677493628531, 'y': 0.6566661617645043}. \n[I 2023-11-01 05:28:32,420] Trial 35 finished with values: [36.139912313478725, 150.30450236021318, 2.846693068819592] and parameters: {'x': 2.6855931471151466, 'y': 0.16109992170444554}. \n[I 2023-11-01 05:28:32,421] Trial 36 finished with values: [5.555899353276137, 169.08958545283508, 1.6340205488925352] and parameters: {'x': 0.3506494411935901, 'y': 1.2833711076989451}. \n[I 2023-11-01 05:28:32,422] Trial 37 finished with values: [13.789359632340782, 156.98385883468913, 2.3783575458514257] and parameters: {'x': 0.26108463875519905, 'y': 2.1172729070962264}. \n[I 2023-11-01 05:28:32,423] Trial 38 finished with values: [67.86727574435633, 138.75245993466538, 3.741115115577589] and parameters: {'x': 3.683950936542507, 'y': 0.057164179035082086}. \n[I 2023-11-01 05:28:32,424] Trial 39 finished with values: [115.38236566324701, 100.82488429650763, 6.1572919163293065] and parameters: {'x': 4.6620916868915065, 'y': 1.4952002294378}. \n[I 2023-11-01 05:28:32,425] Trial 40 finished with values: [106.67069196004533, 113.89851308095689, 5.384859170117088] and parameters: {'x': 4.576221285632362, 'y': 0.8086378844847265}. \n[I 2023-11-01 05:28:32,426] Trial 41 finished with values: [29.493127596455963, 155.7408755452995, 2.508015818433839] and parameters: {'x': 2.427915963797666, 'y': 0.08009985463617253}. \n[I 2023-11-01 05:28:32,427] Trial 42 finished with values: [46.367354922258485, 138.36601981018174, 3.551077173047799] and parameters: {'x': 3.017007218158858, 'y': 0.534069954888941}. \n[I 2023-11-01 05:28:32,428] Trial 43 finished with values: [67.6465928660321, 122.17544497240004, 4.587290681037549] and parameters: {'x': 3.59741692653069, 'y': 0.9898737545068598}. \n[I 2023-11-01 05:28:32,429] Trial 44 finished with values: [108.98938314563641, 94.29312288630999, 6.461733154065381] and parameters: {'x': 4.382124213368651, 'y': 2.0796089406967297}. \n[I 2023-11-01 05:28:32,429] Trial 45 finished with values: [39.41451611160953, 133.06416943098185, 3.764515840026097] and parameters: {'x': 2.6787177358857903, 'y': 1.0857981041403064}. \n[I 2023-11-01 05:28:32,430] Trial 46 finished with values: [41.69527284458037, 131.10543286487783, 3.8875605552645767] and parameters: {'x': 2.7500309938319183, 'y': 1.1375295614326584}. \n[I 2023-11-01 05:28:32,431] Trial 47 finished with values: [29.52858932745362, 131.05628950847, 3.8105566491668004] and parameters: {'x': 1.9654925403108991, 'y': 1.845064108855901}. \n[I 2023-11-01 05:28:32,432] Trial 48 finished with values: [6.088117302665923, 166.88228053309626, 1.750612223643878] and parameters: {'x': 0.4497456418601836, 'y': 1.3008665817836944}. \n[I 2023-11-01 05:28:32,433] Trial 49 finished with values: [21.278707809783963, 138.63180227189966, 3.3686437759104577] and parameters: {'x': 1.2776295314874204, 'y': 2.0910142444230373}. \n[I 2023-11-01 05:28:32,449] Trial 50 finished with values: [19.27651378376268, 153.6446228541178, 2.5180442092423903] and parameters: {'x': 1.9052549261012102, 'y': 0.6127892831411801}. \n[I 2023-11-01 05:28:32,450] Trial 51 finished with values: [81.83722169864063, 99.32674043853552, 5.962386990413455] and parameters: {'x': 3.613431953021031, 'y': 2.348955037392424}. \n[I 2023-11-01 05:28:32,451] Trial 52 finished with values: [41.69527284458037, 131.10543286487783, 3.8875605552645767] and parameters: {'x': 2.7500309938319183, 'y': 1.1375295614326584}. \n[I 2023-11-01 05:28:32,452] Trial 53 finished with values: [53.80858815715409, 115.06365286047608, 4.860784299274995] and parameters: {'x': 2.9129513915637286, 'y': 1.947832907711266}. \n[I 2023-11-01 05:28:32,453] Trial 54 finished with values: [8.000866891601165, 167.86097435802156, 1.739870716696283] and parameters: {'x': 0.11335963955371564, 'y': 1.6265110771425673}. \n[I 2023-11-01 05:28:32,455] Trial 55 finished with values: [86.08953446631097, 96.66524991188524, 6.149179928749174] and parameters: {'x': 3.683950936542507, 'y': 2.465228992206667}. \n[I 2023-11-01 05:28:32,456] Trial 56 finished with values: [71.84307409486311, 123.24597439586029, 4.570079297057907] and parameters: {'x': 3.7349961903466373, 'y': 0.8350831067112694}. \n[I 2023-11-01 05:28:32,457] Trial 57 finished with values: [54.40817812396588, 126.93839870268903, 4.217718699095672] and parameters: {'x': 3.20389295000305, 'y': 1.0138257490926215}. \n[I 2023-11-01 05:28:32,458] Trial 58 finished with values: [63.812992129578554, 111.48028128622093, 5.13384908603345] and parameters: {'x': 3.266588672369756, 'y': 1.8672604136636943}. \n[I 2023-11-01 05:28:32,460] Trial 59 finished with values: [6.977050884296457, 164.27515630282014, 1.874061602758235] and parameters: {'x': 0.9240903122373767, 'y': 0.9499712905208583}. \n[I 2023-11-01 05:28:32,461] Trial 60 finished with values: [125.96663000430767, 83.40499840395601, 7.229768020327978] and parameters: {'x': 4.580696102818924, 'y': 2.6490719175090547}. \n[I 2023-11-01 05:28:32,462] Trial 61 finished with values: [74.0111665144845, 124.66811809529167, 4.516752482465603] and parameters: {'x': 3.807995751092257, 'y': 0.7087567313733459}. \n[I 2023-11-01 05:28:32,463] Trial 62 finished with values: [16.96439791527305, 145.22118873923415, 2.9590061045748977] and parameters: {'x': 1.3712157786206947, 'y': 1.5877903259542028}. \n[I 2023-11-01 05:28:32,464] Trial 63 finished with values: [60.85848300170507, 129.2033801978531, 4.158609445196128] and parameters: {'x': 3.444689804349445, 'y': 0.7139196408466834}. \n[I 2023-11-01 05:28:32,465] Trial 64 finished with values: [42.86391282619441, 142.73460134353215, 3.2948256196061974] and parameters: {'x': 2.9129513915637286, 'y': 0.38187422804246884}. \n[I 2023-11-01 05:28:32,467] Trial 65 finished with values: [130.668134831933, 97.43195883863461, 6.480223252492862] and parameters: {'x': 4.977894292090651, 'y': 1.5023289604022108}. \n[I 2023-11-01 05:28:32,468] Trial 66 finished with values: [47.26618294037921, 123.90217176783239, 4.320287951844051] and parameters: {'x': 2.8585302627608273, 'y': 1.4617576890832242}. \n[I 2023-11-01 05:28:32,469] Trial 67 finished with values: [41.500883362849976, 118.80872427813321, 4.585690524147454] and parameters: {'x': 2.22859586731232, 'y': 2.357094656835134}. \n[I 2023-11-01 05:28:32,470] Trial 68 finished with values: [78.81843672172305, 99.54596559753344, 5.929619513954454] and parameters: {'x': 3.493090973039174, 'y': 2.4365285409152797}. \n[I 2023-11-01 05:28:32,471] Trial 69 finished with values: [97.2601096383908, 114.9192455752314, 5.242322632197303] and parameters: {'x': 4.3567771908176836, 'y': 0.8855454413796192}. \n[I 2023-11-01 05:28:32,473] Trial 70 finished with values: [108.99019920774138, 86.0875907567113, 6.944155109469177] and parameters: {'x': 4.127839651043683, 'y': 2.8163154584254944}. \n[I 2023-11-01 05:28:32,474] Trial 71 finished with values: [43.90142979826749, 122.69670812830825, 4.362916883091158] and parameters: {'x': 2.6491784035690475, 'y': 1.7137384795221098}. \n[I 2023-11-01 05:28:32,475] Trial 72 finished with values: [91.2423463617904, 94.6027309395139, 6.307208171042922] and parameters: {'x': 3.807995751092257, 'y': 2.4992124199506653}. \n[I 2023-11-01 05:28:32,476] Trial 73 finished with values: [108.98938314563641, 94.29312288630999, 6.461733154065381] and parameters: {'x': 4.382124213368651, 'y': 2.0796089406967297}. \n[I 2023-11-01 05:28:32,477] Trial 74 finished with values: [39.41451611160953, 133.06416943098185, 3.764515840026097] and parameters: {'x': 2.6787177358857903, 'y': 1.0857981041403064}. \n[I 2023-11-01 05:28:32,478] Trial 75 finished with values: [107.00609629365147, 96.94273417340128, 6.296197808844399] and parameters: {'x': 4.382124213368651, 'y': 1.9140735954757484}. \n[I 2023-11-01 05:28:32,479] Trial 76 finished with values: [2.279612174140527, 178.6137283914836, 1.1007339111273575] and parameters: {'x': 0.4440677493628531, 'y': 0.6566661617645043}. \n[I 2023-11-01 05:28:32,480] Trial 77 finished with values: [46.98342264296869, 135.24439698417314, 3.7174261096933994] and parameters: {'x': 3.017007218158858, 'y': 0.7004188915345412}. \n[I 2023-11-01 05:28:32,481] Trial 78 finished with values: [38.0541005240769, 137.29157044759157, 3.5304721960700665] and parameters: {'x': 2.6787177358857903, 'y': 0.8517544601842764}. \n[I 2023-11-01 05:28:32,482] Trial 79 finished with values: [5.555899353276137, 169.08958545283508, 1.6340205488925352] and parameters: {'x': 0.3506494411935901, 'y': 1.2833711076989451}. \n[I 2023-11-01 05:28:32,483] Trial 80 finished with values: [0.39090842528960823, 191.99182343045004, 0.4068331198243713] and parameters: {'x': 0.05220605557392566, 'y': 0.35462706425044566}. \n[I 2023-11-01 05:28:32,484] Trial 81 finished with values: [57.082643478288595, 114.64306589760064, 4.9067583712186185] and parameters: {'x': 3.061694262362718, 'y': 1.845064108855901}. \n[I 2023-11-01 05:28:32,486] Trial 82 finished with values: [19.36019749589741, 162.13519821311388, 2.087138016742003] and parameters: {'x': 1.9654925403108991, 'y': 0.1216454764311038}. \n[I 2023-11-01 05:28:32,486] Trial 83 finished with values: [3.829335568075157, 174.44232917867387, 1.3394336275810945] and parameters: {'x': 0.26108463875519905, 'y': 1.0783489888258955}. \n[I 2023-11-01 05:28:32,488] Trial 84 finished with values: [32.09714128096098, 137.77525229694987, 3.454543417150334] and parameters: {'x': 2.397788497875844, 'y': 1.05675491927449}. \n[I 2023-11-01 05:28:32,489] Trial 85 finished with values: [5.555899353276137, 169.08958545283508, 1.6340205488925352] and parameters: {'x': 0.3506494411935901, 'y': 1.2833711076989451}. \n[I 2023-11-01 05:28:32,490] Trial 86 finished with values: [90.66798662467258, 115.35476263043027, 5.157581611860665] and parameters: {'x': 4.192183322669817, 'y': 0.9653982891908479}. \n[I 2023-11-01 05:28:32,491] Trial 87 finished with values: [109.72040963733477, 84.8879179143029, 7.023621297851715] and parameters: {'x': 4.1011814165751765, 'y': 2.9224398812765386}. \n[I 2023-11-01 05:28:32,493] Trial 88 finished with values: [98.13151715860148, 110.69010786654337, 5.4723205553590555] and parameters: {'x': 4.342922992491809, 'y': 1.1293975628672461}. \n[I 2023-11-01 05:28:32,494] Trial 89 finished with values: [119.34442336031049, 97.28111383838124, 6.385533764661934] and parameters: {'x': 4.710045433191209, 'y': 1.6754883314707247}. \n[I 2023-11-01 05:28:32,495] Trial 90 finished with values: [108.76750623268478, 125.02133199081098, 4.837221874438101] and parameters: {'x': 4.6620916868915065, 'y': 0.17513018754659448}. \n[I 2023-11-01 05:28:32,496] Trial 91 finished with values: [50.01175149173915, 124.2388558473998, 4.323819552270937] and parameters: {'x': 2.9888133776871633, 'y': 1.3350061745837738}. \n[I 2023-11-01 05:28:32,498] Trial 92 finished with values: [86.07107920861839, 110.0147308946569, 5.398748759174184] and parameters: {'x': 4.006367492766769, 'y': 1.392381266407416}. \n[I 2023-11-01 05:28:32,499] Trial 93 finished with values: [51.32484182304045, 119.04541874736185, 4.61854400538042] and parameters: {'x': 2.9219809426252037, 'y': 1.6965630627552162}. \n[I 2023-11-01 05:28:32,500] Trial 94 finished with values: [74.74849328707256, 111.8777231018829, 5.199538916261984] and parameters: {'x': 3.683950936542507, 'y': 1.5155879797194771}. \n[I 2023-11-01 05:28:32,501] Trial 95 finished with values: [17.97587491271711, 145.0878033902657, 3.0233265970136003] and parameters: {'x': 0.8102064308261187, 'y': 2.2131201661874815}. \n[I 2023-11-01 05:28:32,502] Trial 96 finished with values: [55.33104657706587, 136.09633073393695, 3.7524301793447066] and parameters: {'x': 3.308794615458374, 'y': 0.44363556388633263}. \n[I 2023-11-01 05:28:32,503] Trial 97 finished with values: [0.777061821100274, 188.51237148855193, 0.5832339549037603] and parameters: {'x': 0.3506494411935901, 'y': 0.2325845137101702}. \n[I 2023-11-01 05:28:32,505] Trial 98 finished with values: [111.59887192334075, 99.78196466318296, 6.17980125175561] and parameters: {'x': 4.553290174613042, 'y': 1.6265110771425673}. \n[I 2023-11-01 05:28:32,506] Trial 99 finished with values: [109.17251096303725, 106.95948737384168, 5.772141587812521] and parameters: {'x': 4.580696102818924, 'y': 1.191445484993597}. \n\u001b[2Kreading sources... [ 86%] reference/visualization/generated/optuna.visualization.plot_pareto_front\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:345: ExperimentalWarning:\n\nThe ``constraints_func`` option is an experimental feature. The interface can change in the future.\n\n[I 2023-11-01 05:28:32,672] A new study created in memory with name: no-name-ecb05dba-9054-461b-9415-63eb1e3d4913\n[I 2023-11-01 05:28:32,673] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:28:32,674] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,675] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,676] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,677] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,678] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,679] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,680] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,681] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,682] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,690] Trial 10 finished with value: 6552.967716339581 and parameters: {'x': 80.95040281764867, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,697] Trial 11 finished with value: 1581.6759383724113 and parameters: {'x': 39.770289644059815, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,703] Trial 12 finished with value: 1028.2507682929152 and parameters: {'x': 32.06634946938792, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,710] Trial 13 finished with value: 9734.833587691272 and parameters: {'x': 98.6652602879619, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,717] Trial 14 finished with value: 332.07882979888785 and parameters: {'x': 18.223030203533327, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,723] Trial 15 finished with value: 566.7705064178714 and parameters: {'x': -23.806942399599983, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,730] Trial 16 finished with value: 213.03950442172285 and parameters: {'x': -14.63008900935749, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,737] Trial 17 finished with value: 642.5871135168867 and parameters: {'x': -25.34930203214453, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,743] Trial 18 finished with value: 1369.8316914198415 and parameters: {'x': -37.01123736677607, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,750] Trial 19 finished with value: 1159.004648306659 and parameters: {'x': -34.058840971275856, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,757] Trial 20 finished with value: 1281.3531888612108 and parameters: {'x': -35.79599403370733, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,764] Trial 21 finished with value: 268.4820201738229 and parameters: {'x': -16.385420964193226, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,770] Trial 22 finished with value: 274.55651795948256 and parameters: {'x': 16.569747069870516, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,779] Trial 23 finished with value: 1.5264659525593145 and parameters: {'x': -1.2355023077919824, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,786] Trial 24 finished with value: 709.8376961830695 and parameters: {'x': 26.642779438021655, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,793] Trial 25 finished with value: 747.543499314302 and parameters: {'x': -27.34124172956126, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,800] Trial 26 finished with value: 2097.0943980014476 and parameters: {'x': -45.79404325893759, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,806] Trial 27 finished with value: 2694.8946162727752 and parameters: {'x': -51.9123744041127, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,814] Trial 28 finished with value: 535.2215173103501 and parameters: {'x': -23.113232515387157, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,822] Trial 29 finished with value: 383.4698273179495 and parameters: {'x': -19.556835820703448, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 86%] reference/visualization/generated/optuna.visualization.plot_rank\n<string>:22: ExperimentalWarning:\n\nplot_rank is experimental (supported from v3.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:28:32,923] A new study created in memory with name: no-name-d4d12342-6baa-44b9-9467-4f424ed72ed8\n[I 2023-11-01 05:28:32,924] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:28:32,925] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,926] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,926] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,927] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,928] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,929] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,930] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,931] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,932] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 87%] reference/visualization/generated/optuna.visualization.plot_slice\n[I 2023-11-01 05:28:33,051] A new study created in memory with name: no-name-a0d9e34f-4ee5-45f8-9775-74febdb5ae2d\n\u001b[2Kreading sources... [ 87%] reference/visualization/generated/optuna.visualization.plot_terminator_improvement\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Info] Start training from score -0.851971\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.225175\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:33,358] Trial 0 finished with value: 0.9831746031746033 and parameters: {'reg_alpha': 2.8445805576897662e-08, 'reg_lambda': 0.8280441076856032, 'num_leaves': 34, 'colsample_bytree': 0.7029929001316915, 'subsample': 0.7506613094082062, 'subsample_freq': 6, 'min_child_samples': 37}. Best is trial 0 with value: 0.9831746031746033.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 513\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: 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-inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:33,596] Trial 1 finished with value: 0.9774603174603176 and parameters: {'reg_alpha': 1.634639053504615, 'reg_lambda': 2.1634688176447218e-08, 'num_leaves': 233, 'colsample_bytree': 0.8408545699658505, 'subsample': 0.5314157524786646, 'subsample_freq': 1, 'min_child_samples': 27}. Best is trial 1 with value: 0.9774603174603176.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000039 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000038 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 498\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000037 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000059 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.851971\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:33,863] Trial 2 finished with value: 0.9776190476190477 and parameters: {'reg_alpha': 0.007308121116626614, 'reg_lambda': 5.224729047469686e-07, 'num_leaves': 119, 'colsample_bytree': 0.41275807830092226, 'subsample': 0.9345329712396938, 'subsample_freq': 2, 'min_child_samples': 34}. Best is trial 1 with value: 0.9774603174603176.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: 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-inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:34,132] Trial 3 finished with value: 0.9774603174603176 and parameters: {'reg_alpha': 1.7346640434889673e-05, 'reg_lambda': 5.761903183048233e-06, 'num_leaves': 193, 'colsample_bytree': 0.8388545142154424, 'subsample': 0.6918916503554233, 'subsample_freq': 7, 'min_child_samples': 29}. Best is trial 1 with value: 0.9774603174603176.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000052 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000064 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 511\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: 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-inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: 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-inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:34,410] Trial 4 finished with value: 0.9831746031746033 and parameters: {'reg_alpha': 1.0079565762494025, 'reg_lambda': 2.159231033185959e-08, 'num_leaves': 239, 'colsample_bytree': 0.4652156581802465, 'subsample': 0.9890749775082771, 'subsample_freq': 6, 'min_child_samples': 40}. Best is trial 1 with value: 0.9774603174603176.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000105 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:34,737] Trial 5 finished with value: 0.9776190476190475 and parameters: {'reg_alpha': 3.991883106166551e-06, 'reg_lambda': 0.037172431445146537, 'num_leaves': 40, 'colsample_bytree': 0.9672630184934222, 'subsample': 0.5765471749916755, 'subsample_freq': 5, 'min_child_samples': 7}. Best is trial 1 with value: 0.9774603174603176.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 496\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000040 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 513\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:35,020] Trial 6 finished with value: 0.9771428571428571 and parameters: {'reg_alpha': 4.395192753367908, 'reg_lambda': 3.155546199281461e-05, 'num_leaves': 195, 'colsample_bytree': 0.458778057103213, 'subsample': 0.9427030722825906, 'subsample_freq': 1, 'min_child_samples': 29}. Best is trial 6 with value: 0.9771428571428571.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:35,120] Trial 7 finished with value: 0.32492063492063494 and parameters: {'reg_alpha': 0.4663276580194898, 'reg_lambda': 3.573236279941247e-08, 'num_leaves': 241, 'colsample_bytree': 0.7818911996104754, 'subsample': 0.547952138317193, 'subsample_freq': 5, 'min_child_samples': 85}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.436484\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.459319\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000040 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 510\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:35,403] Trial 8 finished with value: 0.9609523809523809 and parameters: {'reg_alpha': 0.042663232421482934, 'reg_lambda': 4.632460606298793e-06, 'num_leaves': 162, 'colsample_bytree': 0.42086267762121243, 'subsample': 0.7244623943167505, 'subsample_freq': 2, 'min_child_samples': 52}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Info] Start training from score -0.828693\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:35,482] Trial 9 finished with value: 0.399047619047619 and parameters: {'reg_alpha': 1.896010392674244, 'reg_lambda': 5.003234224988262e-07, 'num_leaves': 170, 'colsample_bytree': 0.9264474208177167, 'subsample': 0.8415358787204077, 'subsample_freq': 7, 'min_child_samples': 93}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.803962\n[LightGBM] [Info] Start training from score -1.466337\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:35,622] Trial 10 finished with value: 0.3984126984126984 and parameters: {'reg_alpha': 0.004190961516347617, 'reg_lambda': 0.0007555180104206352, 'num_leaves': 97, 'colsample_bytree': 0.6376484275994792, 'subsample': 0.40867062478579874, 'subsample_freq': 4, 'min_child_samples': 88}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:35,791] Trial 11 finished with value: 0.39920634920634923 and parameters: {'reg_alpha': 0.00910131626571197, 'reg_lambda': 0.0006996633147431032, 'num_leaves': 92, 'colsample_bytree': 0.6143231650944936, 'subsample': 0.40466292189941194, 'subsample_freq': 4, 'min_child_samples': 95}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:36,309] Trial 12 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 0.0003498039365954756, 'reg_lambda': 0.000571953116270605, 'num_leaves': 77, 'colsample_bytree': 0.6827544047768415, 'subsample': 0.4021706460447172, 'subsample_freq': 4, 'min_child_samples': 78}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000028 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 124\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 3\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000027 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 115\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 3\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.521840\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000027 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 110\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 3\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000032 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 203\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 5\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000037 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 328\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 8\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:36,628] Trial 13 finished with value: 0.39920634920634923 and parameters: {'reg_alpha': 0.08533525855987459, 'reg_lambda': 0.004398444133768183, 'num_leaves': 132, 'colsample_bytree': 0.6341466969706574, 'subsample': 0.5061356015883802, 'subsample_freq': 3, 'min_child_samples': 71}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:36,831] Trial 14 finished with value: 0.39904761904761904 and parameters: {'reg_alpha': 0.0018323304068729013, 'reg_lambda': 6.138034826935438e-05, 'num_leaves': 71, 'colsample_bytree': 0.7378043924814948, 'subsample': 0.47116091688503564, 'subsample_freq': 5, 'min_child_samples': 76}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.225175\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:37,112] Trial 15 finished with value: 0.39841269841269844 and parameters: {'reg_alpha': 0.09663524956458044, 'reg_lambda': 0.03258883679216028, 'num_leaves': 118, 'colsample_bytree': 0.5465550101202464, 'subsample': 0.6010363838924071, 'subsample_freq': 5, 'min_child_samples': 62}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Info] Start training from score -0.828693\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.819710\n[LightGBM] [Info] Start training from score -1.436484\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:37,265] Trial 16 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 9.025980746360622, 'reg_lambda': 0.0001951229802401519, 'num_leaves': 18, 'colsample_bytree': 0.7697577273697616, 'subsample': 0.4465548892997192, 'subsample_freq': 3, 'min_child_samples': 100}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:37,442] Trial 17 finished with value: 0.3311111111111111 and parameters: {'reg_alpha': 0.21413803088427572, 'reg_lambda': 2.5205024916730703, 'num_leaves': 255, 'colsample_bytree': 0.5799966193235848, 'subsample': 0.5532036308688599, 'subsample_freq': 3, 'min_child_samples': 85}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.225175\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:37,570] Trial 18 finished with value: 0.39825396825396825 and parameters: {'reg_alpha': 0.10138260585654232, 'reg_lambda': 3.8016177012051964, 'num_leaves': 251, 'colsample_bytree': 0.5636795480407062, 'subsample': 0.6403420936368341, 'subsample_freq': 3, 'min_child_samples': 85}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 497\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000059 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 510\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:37,873] Trial 19 finished with value: 0.3995238095238095 and parameters: {'reg_alpha': 0.36849044529719804, 'reg_lambda': 5.205764598017313, 'num_leaves': 216, 'colsample_bytree': 0.7818649101565817, 'subsample': 0.5505984260109443, 'subsample_freq': 2, 'min_child_samples': 64}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000056 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.429467\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 513\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:38,146] Trial 20 finished with value: 0.3987301587301587 and parameters: {'reg_alpha': 0.42724471313720325, 'reg_lambda': 0.2652009250816974, 'num_leaves': 214, 'colsample_bytree': 0.5213595942177831, 'subsample': 0.6291186728039098, 'subsample_freq': 6, 'min_child_samples': 55}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.225175\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:38,288] Trial 21 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 0.0788559441868605, 'reg_lambda': 4.190246425642094, 'num_leaves': 251, 'colsample_bytree': 0.5760265758427932, 'subsample': 0.6419970498733648, 'subsample_freq': 3, 'min_child_samples': 85}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:38,433] Trial 22 finished with value: 0.399047619047619 and parameters: {'reg_alpha': 0.3676961646365828, 'reg_lambda': 1.0137675707619425, 'num_leaves': 223, 'colsample_bytree': 0.5217473085299913, 'subsample': 0.5090922265281999, 'subsample_freq': 3, 'min_child_samples': 86}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.851971\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:38,567] Trial 23 finished with value: 0.3314285714285714 and parameters: {'reg_alpha': 8.106364066849663, 'reg_lambda': 6.238236883186763, 'num_leaves': 256, 'colsample_bytree': 0.5855145891572794, 'subsample': 0.6052101113801308, 'subsample_freq': 4, 'min_child_samples': 80}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:38,693] Trial 24 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 3.8128795680174736, 'reg_lambda': 8.828510587202686, 'num_leaves': 192, 'colsample_bytree': 0.6677734825179531, 'subsample': 0.5706252673984643, 'subsample_freq': 4, 'min_child_samples': 73}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Info] Start training from score -0.812692\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 499\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.429467\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 511\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:39,002] Trial 25 finished with value: 0.40015873015873016 and parameters: {'reg_alpha': 8.525880187685269, 'reg_lambda': 0.07452132648091096, 'num_leaves': 169, 'colsample_bytree': 0.5976864311288912, 'subsample': 0.5267565678036301, 'subsample_freq': 5, 'min_child_samples': 66}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:39,125] Trial 26 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 0.6767428853838785, 'reg_lambda': 0.005280221372910068, 'num_leaves': 256, 'colsample_bytree': 0.6242159615362136, 'subsample': 0.5898417880779059, 'subsample_freq': 4, 'min_child_samples': 81}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.835710\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:39,246] Trial 27 finished with value: 0.33238095238095233 and parameters: {'reg_alpha': 8.336891939481102, 'reg_lambda': 0.23006775048261074, 'num_leaves': 207, 'colsample_bytree': 0.7188298998878534, 'subsample': 0.4780811590736114, 'subsample_freq': 5, 'min_child_samples': 97}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 498\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000052 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 511\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:39,570] Trial 28 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 0.020625905545190178, 'reg_lambda': 0.9425393829516836, 'num_leaves': 234, 'colsample_bytree': 0.678425255536722, 'subsample': 0.5353067838658269, 'subsample_freq': 4, 'min_child_samples': 54}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Info] Start training from score -0.812692\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:39,694] Trial 29 finished with value: 0.399047619047619 and parameters: {'reg_alpha': 0.26292458429882964, 'reg_lambda': 1.1672007267249114, 'num_leaves': 144, 'colsample_bytree': 0.5826999400250936, 'subsample': 0.6771783143923514, 'subsample_freq': 6, 'min_child_samples': 89}. Best is trial 7 with value: 0.32492063492063494.\n<string>:29: ExperimentalWarning:\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n\nplot_terminator_improvement is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:129: ExperimentalWarning:\n\nRegretBoundEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:131: ExperimentalWarning:\n\nCrossValidationErrorEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n\n 0%\| \| 0/30 [00:00<?, ?it/s]\n 3%\|▎ \| 1/30 [00:01<00:41, 1.44s/it]\n 7%\|▋ \| 2/30 [00:02<00:39, 1.43s/it]\n 10%\|█ \| 3/30 [00:04<00:38, 1.43s/it]\n 13%\|█▎ \| 4/30 [00:05<00:37, 1.43s/it]\n 17%\|█▋ \| 5/30 [00:07<00:35, 1.42s/it]\n 20%\|██ \| 6/30 [00:09<00:38, 1.58s/it]\n 23%\|██▎ \| 7/30 [00:10<00:35, 1.53s/it]\n 27%\|██▋ \| 8/30 [00:11<00:32, 1.50s/it]\n 30%\|███ \| 9/30 [00:13<00:31, 1.51s/it]\n 33%\|███▎ \| 10/30 [00:14<00:29, 1.49s/it]\n 37%\|███▋ \| 11/30 [00:16<00:28, 1.50s/it]\n 40%\|████ \| 12/30 [00:17<00:27, 1.52s/it]\n 43%\|████▎ \| 13/30 [00:19<00:26, 1.54s/it]\n 47%\|████▋ \| 14/30 [00:21<00:24, 1.55s/it]\n 50%\|█████ \| 15/30 [00:22<00:23, 1.56s/it]\n 53%\|█████▎ \| 16/30 [00:24<00:22, 1.57s/it]\n 57%\|█████▋ \| 17/30 [00:25<00:20, 1.59s/it]\n 60%\|██████ \| 18/30 [00:27<00:19, 1.61s/it]\n 63%\|██████▎ \| 19/30 [00:29<00:18, 1.64s/it]\n 67%\|██████▋ \| 20/30 [00:30<00:16, 1.65s/it]\n 70%\|███████ \| 21/30 [00:32<00:14, 1.67s/it]\n 73%\|███████▎ \| 22/30 [00:34<00:13, 1.73s/it]\n 77%\|███████▋ \| 23/30 [00:36<00:12, 1.83s/it]\n 80%\|████████ \| 24/30 [00:38<00:11, 1.88s/it]\n 83%\|████████▎ \| 25/30 [00:40<00:08, 1.79s/it]\n 87%\|████████▋ \| 26/30 [00:41<00:07, 1.78s/it]\n 90%\|█████████ \| 27/30 [00:43<00:05, 1.79s/it]\n 93%\|█████████▎\| 28/30 [00:45<00:03, 1.69s/it]\n 97%\|█████████▋\| 29/30 [00:46<00:01, 1.63s/it]\n100%\|██████████\| 30/30 [00:48<00:00, 1.60s/it]\n100%\|██████████\| 30/30 [00:48<00:00, 1.61s/it]\n[I 2023-11-01 05:29:28,025] A new study created in memory with name: no-name-42cb2b97-cfc3-4699-b8a0-aa060fbce547\n[I 2023-11-01 05:29:28,056] Trial 0 finished with value: 0.07003918157893887 and parameters: {'x': 0.2646491669719345}. Best is trial 0 with value: 0.07003918157893887.\n[I 2023-11-01 05:29:28,108] Trial 2 pruned. \n[W 2023-11-01 05:29:28,124] Trial 1 failed with parameters: {'x': 0.9486518382855118} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,125] Trial 1 failed with value None.\n[I 2023-11-01 05:29:28,141] Trial 3 finished with value: 0.09651297324202336 and parameters: {'x': 0.3106653718102862}. Best is trial 0 with value: 0.07003918157893887.\n[I 2023-11-01 05:29:28,155] Trial 4 finished with value: 0.08136725412483768 and parameters: {'x': 0.2852494594645846}. Best is trial 0 with value: 0.07003918157893887.\n[I 2023-11-01 05:29:28,211] Trial 6 pruned. \n[W 2023-11-01 05:29:28,226] Trial 5 failed with parameters: {'x': 0.8393788040877971} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[I 2023-11-01 05:29:28,227] Trial 7 finished with value: 0.01885445062185593 and parameters: {'x': 0.13731150942967574}. Best is trial 7 with value: 0.01885445062185593.\n[W 2023-11-01 05:29:28,229] Trial 5 failed with value None.\n[W 2023-11-01 05:29:28,322] Trial 9 failed with parameters: {'x': 0.9031138037515429} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,323] Trial 9 failed with value None.\n[W 2023-11-01 05:29:28,325] Trial 8 failed with parameters: {'x': 0.9417391172477223} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,327] Trial 8 failed with value None.\n[I 2023-11-01 05:29:28,394] Trial 11 pruned. \n[I 2023-11-01 05:29:28,396] Trial 10 pruned. \n[I 2023-11-01 05:29:28,415] Trial 13 finished with value: 0.028902039068427553 and parameters: {'x': 0.1700059971542991}. Best is trial 7 with value: 0.01885445062185593.\n[I 2023-11-01 05:29:28,476] Trial 14 pruned. \n[I 2023-11-01 05:29:28,483] Trial 15 finished with value: 9.903806189091457e-06 and parameters: {'x': 0.0031470313295376418}. Best is trial 15 with value: 9.903806189091457e-06.\n[I 2023-11-01 05:29:28,490] Trial 16 finished with value: 0.0001811272875856004 and parameters: {'x': 0.013458353821534059}. Best is trial 15 with value: 9.903806189091457e-06.\n[W 2023-11-01 05:29:28,496] Trial 12 failed with parameters: {'x': 0.9646596137111627} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,497] Trial 12 failed with value None.\n[I 2023-11-01 05:29:28,503] Trial 17 finished with value: 0.005266269642047962 and parameters: {'x': 0.0725690680803327}. Best is trial 15 with value: 9.903806189091457e-06.\n[I 2023-11-01 05:29:28,511] Trial 18 finished with value: 0.0002959392298832095 and parameters: {'x': 0.017202884347783352}. Best is trial 15 with value: 9.903806189091457e-06.\n[W 2023-11-01 05:29:28,605] Trial 20 failed with parameters: {'x': 0.8774184662529757} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,606] Trial 20 failed with value None.\n[W 2023-11-01 05:29:28,612] Trial 19 failed with parameters: {'x': 0.9729343895403902} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,614] Trial 19 failed with value None.\n[I 2023-11-01 05:29:28,614] Trial 21 finished with value: 0.00011605395625238281 and parameters: {'x': 0.010772834179192716}. Best is trial 15 with value: 9.903806189091457e-06.\n[W 2023-11-01 05:29:28,716] Trial 22 failed with parameters: {'x': 0.9245969553253705} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,716] Trial 23 failed with parameters: {'x': 0.8907861889534648} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,719] Trial 23 failed with value None.\n[W 2023-11-01 05:29:28,718] Trial 22 failed with value None.\n[I 2023-11-01 05:29:28,777] Trial 25 pruned. \n[W 2023-11-01 05:29:28,811] Trial 24 failed with parameters: {'x': 0.8297416910695854} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,812] Trial 24 failed with value None.\n[W 2023-11-01 05:29:28,872] Trial 26 failed with parameters: {'x': 0.8771675436529752} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,874] Trial 26 failed with value None.\n[W 2023-11-01 05:29:28,913] Trial 27 failed with parameters: {'x': 0.9567346000382179} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,914] Trial 27 failed with value None.\n[W 2023-11-01 05:29:28,976] Trial 28 failed with parameters: {'x': 0.9539796013524156} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,977] Trial 28 failed with value None.\n[W 2023-11-01 05:29:29,004] Trial 29 failed with parameters: {'x': 0.8395749667466484} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,005] Trial 29 failed with value None.\n[W 2023-11-01 05:29:29,067] Trial 30 failed with parameters: {'x': 0.8280926077423015} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,068] Trial 30 failed with value None.\n[W 2023-11-01 05:29:29,098] Trial 31 failed with parameters: {'x': 0.8799080865537525} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,099] Trial 31 failed with value None.\n[W 2023-11-01 05:29:29,160] Trial 32 failed with parameters: {'x': 0.856937291814868} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,161] Trial 32 failed with value None.\n[W 2023-11-01 05:29:29,193] Trial 33 failed with parameters: {'x': 0.8464380540724806} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,194] Trial 33 failed with value None.\n[I 2023-11-01 05:29:29,217] Trial 35 finished with value: 0.030300040090470808 and parameters: {'x': 0.17406906701212255}. Best is trial 15 with value: 9.903806189091457e-06.\n[I 2023-11-01 05:29:29,224] Trial 36 finished with value: 0.00021326872193431514 and parameters: {'x': 0.01460372287926319}. Best is trial 15 with value: 9.903806189091457e-06.\n[W 2023-11-01 05:29:29,257] Trial 34 failed with parameters: {'x': 0.8854930912581905} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,258] Trial 34 failed with value None.\n[W 2023-11-01 05:29:29,317] Trial 37 failed with parameters: {'x': 0.866818763390184} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,318] Trial 37 failed with value None.\n[W 2023-11-01 05:29:29,346] Trial 38 failed with parameters: {'x': 0.819393135373528} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,347] Trial 38 failed with value None.\n[W 2023-11-01 05:29:29,408] Trial 39 failed with parameters: {'x': 0.8408205789965458} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,409] Trial 39 failed with value None.\n[W 2023-11-01 05:29:29,449] Trial 40 failed with parameters: {'x': 0.9656709719875146} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,451] Trial 40 failed with value None.\n[W 2023-11-01 05:29:29,507] Trial 41 failed with parameters: {'x': 0.9116260944828029} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,509] Trial 41 failed with value None.\n[W 2023-11-01 05:29:29,540] Trial 42 failed with parameters: {'x': 0.8301841815412819} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,542] Trial 42 failed with value None.\n[W 2023-11-01 05:29:29,601] Trial 43 failed with parameters: {'x': 0.8545418840583909} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,602] Trial 43 failed with value None.\n[W 2023-11-01 05:29:29,635] Trial 44 failed with parameters: {'x': 0.8718551800978102} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,636] Trial 44 failed with value None.\n[W 2023-11-01 05:29:29,694] Trial 45 failed with parameters: {'x': 0.8481533767119213} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,695] Trial 45 failed with value None.\n[W 2023-11-01 05:29:29,732] Trial 46 failed with parameters: {'x': 0.8924918201658735} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,733] Trial 46 failed with value None.\n[W 2023-11-01 05:29:29,799] Trial 47 failed with parameters: {'x': 0.9647724789607142} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,800] Trial 47 failed with value None.\n[W 2023-11-01 05:29:29,825] Trial 48 failed with parameters: {'x': 0.8591374724474415} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,826] Trial 48 failed with value None.\n[W 2023-11-01 05:29:29,888] Trial 49 failed with parameters: {'x': 0.8115810797577248} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"<string>\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,889] Trial 49 failed with value None.\n\u001b[2Kreading sources... [ 88%] reference/visualization/generated/optuna.visualization.plot_timeline\n\u001b[2Kreading sources... [ 88%] reference/visualization/index\n\u001b[2Kreading sources... [ 89%] reference/visualization/matplotlib\n\u001b[2Kreading sources... [ 89%] tutorial/10_key_features/001_first\n\u001b[2Kreading sources... [ 90%] tutorial/10_key_features/002_configurations\n\u001b[2Kreading sources... [ 90%] tutorial/10_key_features/003_efficient_optimization_algorithms\n\u001b[2Kreading sources... [ 91%] tutorial/10_key_features/004_distributed\n\u001b[2Kreading sources... [ 91%] tutorial/10_key_features/005_visualization\n\u001b[2Kreading sources... [ 92%] tutorial/10_key_features/index\n\u001b[2Kreading sources... [ 92%] tutorial/10_key_features/sg_execution_times\n\u001b[2Kreading sources... [ 93%] tutorial/20_recipes/001_rdb\n\u001b[2Kreading sources... [ 93%] tutorial/20_recipes/002_multi_objective\n\u001b[2Kreading sources... 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[100%] tutorial/index\n<string>:21: ExperimentalWarning:\n\nplot_timeline is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:docstring of optuna.samplers._tpe.sampler.TPESampler:22: ERROR: Unexpected indentation.\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:docstring of optuna.samplers._tpe.sampler.TPESampler:20: WARNING: Inline interpreted text or phrase reference start-string without end-string.\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:docstring of optuna.samplers._tpe.sampler.TPESampler:23: WARNING: Block quote ends without a blank line; unexpected unindent.\nlooking for now-outdated files... none found\npickling environment... done\nchecking consistency... done\npreparing documents... done\ncopying assets... \u001b[2Kcopying downloadable files... [ 3%] tutorial/10_key_features/001_first.py\n\u001b[2Kcopying downloadable files... 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[ 32%] tutorial/10_key_features/10_key_features_jupyter.zip\n\u001b[2Kcopying downloadable files... [ 34%] tutorial/20_recipes/001_rdb.py\n\u001b[2Kcopying downloadable files... [ 37%] tutorial/20_recipes/001_rdb.ipynb\n\u001b[2Kcopying downloadable files... [ 39%] tutorial/20_recipes/002_multi_objective.py\n\u001b[2Kcopying downloadable files... [ 42%] tutorial/20_recipes/002_multi_objective.ipynb\n\u001b[2Kcopying downloadable files... [ 45%] tutorial/20_recipes/003_attributes.py\n\u001b[2Kcopying downloadable files... [ 47%] tutorial/20_recipes/003_attributes.ipynb\n\u001b[2Kcopying downloadable files... [ 50%] tutorial/20_recipes/004_cli.py\n\u001b[2Kcopying downloadable files... [ 53%] tutorial/20_recipes/004_cli.ipynb\n\u001b[2Kcopying downloadable files... [ 55%] tutorial/20_recipes/005_user_defined_sampler.py\n\u001b[2Kcopying downloadable files... [ 58%] tutorial/20_recipes/005_user_defined_sampler.ipynb\n\u001b[2Kcopying downloadable files... [ 61%] tutorial/20_recipes/006_user_defined_pruner.py\n\u001b[2Kcopying downloadable files... [ 63%] tutorial/20_recipes/006_user_defined_pruner.ipynb\n\u001b[2Kcopying downloadable files... [ 66%] tutorial/20_recipes/007_optuna_callback.py\n\u001b[2Kcopying downloadable files... [ 68%] tutorial/20_recipes/007_optuna_callback.ipynb\n\u001b[2Kcopying downloadable files... [ 71%] tutorial/20_recipes/008_specify_params.py\n\u001b[2Kcopying downloadable files... [ 74%] tutorial/20_recipes/008_specify_params.ipynb\n\u001b[2Kcopying downloadable files... [ 76%] tutorial/20_recipes/009_ask_and_tell.py\n\u001b[2Kcopying downloadable files... [ 79%] tutorial/20_recipes/009_ask_and_tell.ipynb\n\u001b[2Kcopying downloadable files... [ 82%] tutorial/20_recipes/010_reuse_best_trial.py\n\u001b[2Kcopying downloadable files... [ 84%] tutorial/20_recipes/010_reuse_best_trial.ipynb\n\u001b[2Kcopying downloadable files... [ 87%] tutorial/20_recipes/011_journal_storage.py\n\u001b[2Kcopying downloadable files... [ 89%] tutorial/20_recipes/011_journal_storage.ipynb\n\u001b[2Kcopying downloadable files... [ 92%] tutorial/20_recipes/012_artifact_tutorial.py\n\u001b[2Kcopying downloadable files... [ 95%] tutorial/20_recipes/012_artifact_tutorial.ipynb\n\u001b[2Kcopying downloadable files... [ 97%] tutorial/20_recipes/20_recipes_python.zip\n\u001b[2Kcopying downloadable files... [100%] tutorial/20_recipes/20_recipes_jupyter.zip\ncopying static files... done\ncopying extra files... done\ndone\n\u001b[2Kwriting output... [ 1%] faq\n\u001b[2Kwriting output... [ 1%] index\n\u001b[2Kwriting output... [ 2%] installation\n\u001b[2Kwriting output... [ 2%] license_thirdparty\n\u001b[2Kwriting output... [ 3%] privacy\n\u001b[2Kwriting output... [ 3%] reference/artifacts\n\u001b[2Kwriting output... [ 4%] reference/cli\n\u001b[2Kwriting output... [ 4%] reference/distributions\n\u001b[2Kwriting output... 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[ 16%] reference/generated/optuna.exceptions.DuplicatedStudyError\n\u001b[2Kwriting output... [ 16%] reference/generated/optuna.exceptions.OptunaError\n\u001b[2Kwriting output... [ 17%] reference/generated/optuna.exceptions.StorageInternalError\n\u001b[2Kwriting output... [ 17%] reference/generated/optuna.exceptions.TrialPruned\n\u001b[2Kwriting output... [ 18%] reference/generated/optuna.get_all_study_names\n\u001b[2Kwriting output... [ 18%] reference/generated/optuna.get_all_study_summaries\n\u001b[2Kwriting output... [ 19%] reference/generated/optuna.importance.FanovaImportanceEvaluator\n\u001b[2Kwriting output... [ 19%] reference/generated/optuna.importance.MeanDecreaseImpurityImportanceEvaluator\n\u001b[2Kwriting output... [ 20%] reference/generated/optuna.importance.get_param_importances\n\u001b[2Kwriting output... [ 20%] reference/generated/optuna.integration.BoTorchSampler\n\u001b[2Kwriting output... 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[ 26%] reference/generated/optuna.integration.PyTorchIgnitePruningHandler\n\u001b[2Kwriting output... [ 26%] reference/generated/optuna.integration.PyTorchLightningPruningCallback\n\u001b[2Kwriting output... [ 27%] reference/generated/optuna.integration.SkoptSampler\n\u001b[2Kwriting output... [ 27%] reference/generated/optuna.integration.TensorBoardCallback\n\u001b[2Kwriting output... [ 28%] reference/generated/optuna.integration.TorchDistributedTrial\n\u001b[2Kwriting output... [ 28%] reference/generated/optuna.integration.WeightsAndBiasesCallback\n\u001b[2Kwriting output... [ 29%] reference/generated/optuna.integration.XGBoostPruningCallback\n\u001b[2Kwriting output... [ 29%] reference/generated/optuna.integration.botorch.logei_candidates_func\n\u001b[2Kwriting output... [ 30%] reference/generated/optuna.integration.botorch.qehvi_candidates_func\n\u001b[2Kwriting output... [ 30%] reference/generated/optuna.integration.botorch.qei_candidates_func\n\u001b[2Kwriting output... 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[ 41%] reference/generated/optuna.search_space.IntersectionSearchSpace\n\u001b[2Kwriting output... [ 42%] reference/generated/optuna.search_space.intersection_search_space\n\u001b[2Kwriting output... [ 42%] reference/generated/optuna.storages.JournalFileOpenLock\n\u001b[2Kwriting output... [ 43%] reference/generated/optuna.storages.JournalFileStorage\n\u001b[2Kwriting output... [ 43%] reference/generated/optuna.storages.JournalFileSymlinkLock\n\u001b[2Kwriting output... [ 44%] reference/generated/optuna.storages.JournalRedisStorage\n\u001b[2Kwriting output... [ 44%] reference/generated/optuna.storages.JournalStorage\n\u001b[2Kwriting output... [ 45%] reference/generated/optuna.storages.RDBStorage\n\u001b[2Kwriting output... [ 45%] reference/generated/optuna.storages.RetryFailedTrialCallback\n\u001b[2Kwriting output... [ 46%] reference/generated/optuna.storages.fail_stale_trials\n\u001b[2Kwriting output... [ 46%] reference/generated/optuna.study.MaxTrialsCallback\n\u001b[2Kwriting output... [ 47%] reference/generated/optuna.study.Study\n\u001b[2Kwriting output... [ 47%] reference/generated/optuna.study.StudyDirection\n\u001b[2Kwriting output... [ 48%] reference/generated/optuna.study.StudySummary\n\u001b[2Kwriting output... [ 48%] reference/generated/optuna.study.copy_study\n\u001b[2Kwriting output... [ 49%] reference/generated/optuna.study.create_study\n\u001b[2Kwriting output... [ 49%] reference/generated/optuna.study.delete_study\n\u001b[2Kwriting output... [ 50%] reference/generated/optuna.study.get_all_study_names\n\u001b[2Kwriting output... [ 51%] reference/generated/optuna.study.get_all_study_summaries\n\u001b[2Kwriting output... [ 51%] reference/generated/optuna.study.load_study\n\u001b[2Kwriting output... [ 52%] reference/generated/optuna.terminator.BaseErrorEvaluator\n\u001b[2Kwriting output... 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[ 57%] reference/generated/optuna.trial.FrozenTrial\n\u001b[2Kwriting output... [ 58%] reference/generated/optuna.trial.Trial\n\u001b[2Kwriting output... [ 58%] reference/generated/optuna.trial.TrialState\n\u001b[2Kwriting output... [ 59%] reference/generated/optuna.trial.create_trial\n\u001b[2Kwriting output... [ 59%] reference/importance\n\u001b[2Kwriting output... [ 60%] reference/index\n\u001b[2Kwriting output... [ 60%] reference/integration\n\u001b[2Kwriting output... [ 61%] reference/logging\n\u001b[2Kwriting output... [ 61%] reference/optuna\n\u001b[2Kwriting output... [ 62%] reference/pruners\n\u001b[2Kwriting output... [ 62%] reference/samplers/generated/optuna.samplers.BaseSampler\n\u001b[2Kwriting output... [ 63%] reference/samplers/generated/optuna.samplers.BruteForceSampler\n\u001b[2Kwriting output... [ 63%] reference/samplers/generated/optuna.samplers.CmaEsSampler\n\u001b[2Kwriting output... [ 64%] reference/samplers/generated/optuna.samplers.GridSampler\n\u001b[2Kwriting output... [ 64%] reference/samplers/generated/optuna.samplers.IntersectionSearchSpace\n\u001b[2Kwriting output... [ 65%] reference/samplers/generated/optuna.samplers.NSGAIIISampler\n\u001b[2Kwriting output... [ 65%] reference/samplers/generated/optuna.samplers.NSGAIISampler\n\u001b[2Kwriting output... [ 66%] reference/samplers/generated/optuna.samplers.PartialFixedSampler\n\u001b[2Kwriting output... [ 66%] reference/samplers/generated/optuna.samplers.QMCSampler\n\u001b[2Kwriting output... [ 67%] reference/samplers/generated/optuna.samplers.RandomSampler\n\u001b[2Kwriting output... [ 67%] reference/samplers/generated/optuna.samplers.TPESampler\n\u001b[2Kwriting output... [ 68%] reference/samplers/generated/optuna.samplers.intersection_search_space\n\u001b[2Kwriting output... [ 68%] reference/samplers/generated/optuna.samplers.nsgaii.BLXAlphaCrossover\n\u001b[2Kwriting output... 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[100%] 012_artifact_tutorial.html\nbuild finished with problems, 3 warnings.\nmake: ** [Makefile:20: html] Error 1\n##[error]Process completed with exit code 2.\n" } ]	diff --git a/optuna/samplers/_tpe/sampler.py b/optuna/samplers/_tpe/sampler.py index bc9176c10..5ada7848e 100644 --- a/optuna/samplers/_tpe/sampler.py +++ b/optuna/samplers/_tpe/sampler.py @@ -78,6 +78,7 @@ class TPESampler(BaseSampler): Better Empirical Performance <https://arxiv.org/abs/2304.11127>`_ For multi-objective TPE (MOTPE), please refer to the following papers: + - `Multiobjective Tree-Structured Parzen Estimator for Computationally Expensive Optimization Problems <https://dl.acm.org/doi/10.1145/3377930.3389817>`_ - `Multiobjective Tree-Structured Parzen Estimator <https://doi.org/10.1613/jair.1.13188>`_ @@ -101,7 +102,7 @@ class TPESampler(BaseSampler): .. note:: For `v2.9.0 <https://github.com/optuna/optuna/releases/tag/v2.9.0>`_ or later, - MOTPESampler is deprecated and TPESampler should be used instead. + :class:`~optuna.samplers.MOTPESampler` is deprecated and TPESampler should be used instead. The following code shows how you run TPESampler on a multi-objective task: .. testcode::	0	[ "optuna/samplers/_tpe/sampler.py" ]	https://github.com/optuna/optuna/tree/0b08b8e82f8e67d89dd4335e63ecd95ab6f5f048	2023-11-01T05:03:27Z
Python	69	optuna	optuna	unifiy-implementation-of-fast-nondominated-sort	Checks	checks.yml	.github/workflows/checks.yml	Alnusjaponica	3137ef65975fc93e9e82b130e545028223cef408	a4cd1cd2d275d5163bcbbb4cb29b3cf378789e99	name: Checks on: push: branches: - master pull_request: {} schedule: - cron: '0 23 * * SUN-THU' concurrency: group: ${{ github.workflow }}-${{ github.ref == 'refs/heads/master' && github.run_number \|\| github.ref }} cancel-in-progress: true jobs: checks: if: (github.event_name == 'schedule' && github.repository == 'optuna/optuna') \|\| (github.event_name != 'schedule') runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 with: python-version: 3.8 - name: Install run: \| python -m pip install -U pip pip install --progress-bar off -U .[checking] - name: Output installed packages run: \| pip freeze --all - name: Output dependency tree run: \| pip install pipdeptree pipdeptree - name: black run: black . --check --diff - name: flake8 run: flake8 . - name: isort run: isort . --check --diff - name: mypy run: mypy . - name: blackdoc run: blackdoc . --check --diff env: PIP_INDEX_URL: http://localhost:8629/2023-12-22 UV_INDEX_URL: http://localhost:8629/2023-12-22	[ { "step_name": "checks/9_isort.txt", "log": "##[group]Run isort . --check --diff\n\u001b[36;1misort . --check --diff\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nERROR: /home/runner/work/optuna/optuna/optuna/study/_multi_objective.py Imports are incorrectly sorted and/or formatted.\n--- /home/runner/work/optuna/optuna/optuna/study/_multi_objective.py:before\t2023-12-22 12:41:32.147471\n+++ /home/runner/work/optuna/optuna/optuna/study/_multi_objective.py:after\t2023-12-22 12:42:07.977714\n@@ -1,13 +1,16 @@\n from __future__ import annotations\n \n from collections import defaultdict\n-from typing import List, Optional, Sequence\n+from typing import List\n+from typing import Optional\n+from typing import Sequence\n \n import numpy as np\n \n import optuna\n from optuna.study._study_direction import StudyDirection\n-from optuna.trial import FrozenTrial, TrialState\n+from optuna.trial import FrozenTrial\n+from optuna.trial import TrialState\n \n \n def _get_pareto_front_trials_2d(\nSkipped 30 files\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/optuna/study/_multi_objective.py b/optuna/study/_multi_objective.py index 4e4a36557..18cc8bccf 100644 --- a/optuna/study/_multi_objective.py +++ b/optuna/study/_multi_objective.py @@ -1,13 +1,16 @@ from __future__ import annotations from collections import defaultdict -from typing import List, Optional, Sequence +from typing import List +from typing import Optional +from typing import Sequence import numpy as np import optuna from optuna.study._study_direction import StudyDirection -from optuna.trial import FrozenTrial, TrialState +from optuna.trial import FrozenTrial +from optuna.trial import TrialState def _get_pareto_front_trials_2d(	0	[ "optuna/study/_multi_objective.py" ]	https://github.com/optuna/optuna/tree/3137ef65975fc93e9e82b130e545028223cef408	2023-12-22T12:41:12Z
Python	82	django-import-export	django-import-export	remove_count_queries	.github/workflows/pre-commit.yml	pre-commit.yml	.github/workflows/pre-commit.yml	PetrDlouhy	616eb3b10db94cf4a4c209377f36b2ce995bd01c	b4a4971982af72d8ca11ceed00bee819eb6f2831	on: pull_request: push: branches: - main jobs: main: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 with: python-version: 3.x - uses: pre-commit/[email protected] - uses: pre-commit-ci/[email protected] if: always() env: PIP_INDEX_URL: http://localhost:8629/2023-12-14 UV_INDEX_URL: http://localhost:8629/2023-12-14	[ { "step_name": "main/4_Run [email protected]", "log": "##[group]Run pre-commit/[email protected]\nwith:\n extra_args: --all-files\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.33-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting setuptools (from nodeenv>=0.11.1->pre-commit)\n Downloading setuptools-69.0.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.8-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.6.0-py2.py3-none-any.whl (204 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 204.0/204.0 kB 17.6 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.33-py2.py3-none-any.whl (98 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 98.9/98.9 kB 25.7 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 725.0/725.0 kB 68.9 MB/s eta 0:00:00\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.8/3.8 MB 79.8 MB/s eta 0:00:00\nDownloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 468.9/468.9 kB 70.8 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading setuptools-69.0.2-py3-none-any.whl (819 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 819.5/819.5 kB 80.0 MB/s eta 0:00:00\nInstalling collected packages: distlib, setuptools, pyyaml, platformdirs, identify, filelock, cfgv, virtualenv, nodeenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.8 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.6.0 pyyaml-6.0.1 setuptools-69.0.2 virtualenv-20.25.0\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.8\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.6.0\nPyYAML==6.0.1\nsetuptools==69.0.2\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3\|/opt/hostedtoolcache/Python/3.12.1/x64\|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nCache Size: ~15 MB (15847689 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/0406f221-9418-4459-ac5c-6e0b0097f5b8/cache.tzst -P -C /home/runner/work/django-import-export/django-import-export --use-compress-program unzstd\nCache restored successfully\nCache restored from key: pre-commit-3\|/opt/hostedtoolcache/Python/3.12.1/x64\|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nblack....................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: black\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\n\u001b[1mreformatted tests/core/tests/test_admin_integration.py\u001b[0m\n\n\u001b[1mAll done! ✨ 🍰 ✨\u001b[0m\n\u001b[34m\u001b[1m1 file \u001b[0m\u001b[1mreformatted\u001b[0m, \u001b[34m56 files \u001b[0mleft unchanged.\n\nisort....................................................................\u001b[42mPassed\u001b[m\nflake8...................................................................\u001b[42mPassed\u001b[m\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/tests/core/tests/test_admin_integration.py b/tests/core/tests/test_admin_integration.py\u001b[m\n\u001b[1mindex c178c89..e74a7d2 100644\u001b[m\n\u001b[1m--- a/tests/core/tests/test_admin_integration.py\u001b[m\n\u001b[1m+++ b/tests/core/tests/test_admin_integration.py\u001b[m\n\u001b[36m@@ -680,7 +680,9 @@\u001b[m \u001b[mclass ExportAdminIntegrationTest(AdminTestMixin, TestCase):\u001b[m\n \"file_format\": \"0\",\u001b[m\n }\u001b[m\n date_str = datetime.now().strftime(\"%Y-%m-%d\")\u001b[m\n\u001b[31m- with self.assertNumQueries(7): # Should not contain COUNT queries from ModelAdmin.get_results()\u001b[m\n\u001b[32m+\u001b[m\u001b[32m with self.assertNumQueries(\u001b[m\n\u001b[32m+\u001b[m\u001b[32m 7\u001b[m\n\u001b[32m+\u001b[m\u001b[32m ): # Should not contain COUNT queries from ModelAdmin.get_results()\u001b[m\n response = self.client.post(\"/admin/core/book/export/\", data)\u001b[m\n self.assertEqual(response.status_code, 200)\u001b[m\n self.assertTrue(response.has_header(\"Content-Disposition\"))\u001b[m\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/tests/core/tests/test_admin_integration.py b/tests/core/tests/test_admin_integration.py index c178c89e..e74a7d29 100644 --- a/tests/core/tests/test_admin_integration.py +++ b/tests/core/tests/test_admin_integration.py @@ -680,7 +680,9 @@ class ExportAdminIntegrationTest(AdminTestMixin, TestCase): "file_format": "0", } date_str = datetime.now().strftime("%Y-%m-%d") - with self.assertNumQueries(7): # Should not contain COUNT queries from ModelAdmin.get_results() + with self.assertNumQueries( + 7 + ): # Should not contain COUNT queries from ModelAdmin.get_results() response = self.client.post("/admin/core/book/export/", data) self.assertEqual(response.status_code, 200) self.assertTrue(response.has_header("Content-Disposition"))	0	[ "tests/core/tests/test_admin_integration.py" ]	https://github.com/django-import-export/django-import-export/tree/616eb3b10db94cf4a4c209377f36b2ce995bd01c	2023-12-14T15:53:19Z
Python	83	django-import-export	django-import-export	release-4	.github/workflows/pre-commit.yml	pre-commit.yml	.github/workflows/pre-commit.yml	RobTilton	d4ca3713b196de2aee52fd0344d0eb9a9eaada64	c71073c7bf4d667ac2e08d78682e2a1ff796b6dc	on: pull_request: push: branches: - main jobs: main: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 with: python-version: 3.x - uses: pre-commit/[email protected] - uses: pre-commit-ci/[email protected] if: always() env: PIP_INDEX_URL: http://localhost:8629/2023-12-07 UV_INDEX_URL: http://localhost:8629/2023-12-07	[ { "step_name": "main/4_Run [email protected]", "log": "##[group]Run pre-commit/[email protected]\nwith:\n extra_args: --all-files\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.5.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.33-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting setuptools (from nodeenv>=0.11.1->pre-commit)\n Downloading setuptools-69.0.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.7-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.5.0-py2.py3-none-any.whl (203 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 203.7/203.7 kB 14.6 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.33-py2.py3-none-any.whl (98 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 98.9/98.9 kB 24.8 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 725.0/725.0 kB 56.7 MB/s eta 0:00:00\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.8/3.8 MB 123.7 MB/s eta 0:00:00\nDownloading distlib-0.3.7-py2.py3-none-any.whl (468 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 468.9/468.9 kB 72.9 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading setuptools-69.0.2-py3-none-any.whl (819 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 819.5/819.5 kB 93.7 MB/s eta 0:00:00\nInstalling collected packages: distlib, setuptools, pyyaml, platformdirs, identify, filelock, cfgv, virtualenv, nodeenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.7 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.5.0 pyyaml-6.0.1 setuptools-69.0.2 virtualenv-20.25.0\n\n[notice] A new release of pip is available: 23.2.1 -> 23.3.1\n[notice] To update, run: pip install --upgrade pip\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.7\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.5.0\nPyYAML==6.0.1\nsetuptools==69.0.2\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3\|/opt/hostedtoolcache/Python/3.12.0/x64\|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\nCache Size: ~15 MB (15834028 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/9567017c-9d3b-49f5-b657-706a151e9f99/cache.tzst -P -C /home/runner/work/django-import-export/django-import-export --use-compress-program unzstd\nCache restored successfully\nCache restored from key: pre-commit-3\|/opt/hostedtoolcache/Python/3.12.0/x64\|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\nblack....................................................................\u001b[42mPassed\u001b[m\nisort....................................................................\u001b[42mPassed\u001b[m\nflake8...................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: flake8\u001b[m\n\u001b[2m- exit code: 1\u001b[m\n\n\u001b[1mtests/core/tests/test_resources/test_resources.py\u001b[m\u001b[36m:\u001b[m4\u001b[36m:\u001b[m1\u001b[36m:\u001b[m \u001b[1m\u001b[31mF401\u001b[m 'copy.deepcopy' imported but unused\n\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/tests/core/tests/test_resources/test_resources.py b/tests/core/tests/test_resources/test_resources.py index 82ef08bd..63be3f70 100644 --- a/tests/core/tests/test_resources/test_resources.py +++ b/tests/core/tests/test_resources/test_resources.py @@ -1,7 +1,6 @@ import json import sys from collections import OrderedDict -from copy import deepcopy from datetime import date from decimal import Decimal, InvalidOperation from unittest import mock, skipUnless	0	[ "tests/core/tests/test_resources/test_resources.py" ]	https://github.com/django-import-export/django-import-export/tree/d4ca3713b196de2aee52fd0344d0eb9a9eaada64	2023-12-07T09:31:28Z
Python	84	django-import-export	django-import-export	remove_count_queries	.github/workflows/pre-commit.yml	pre-commit.yml	.github/workflows/pre-commit.yml	PetrDlouhy	2a59b55e6124b33dca7f48c12845c78130b20fd5	36786764b3ef1c4c3c8d0db451cea9e1b325616c	on: pull_request: push: branches: - main jobs: main: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 with: python-version: 3.x - uses: pre-commit/[email protected] - uses: pre-commit-ci/[email protected] if: always() env: PIP_INDEX_URL: http://localhost:8629/2023-12-15 UV_INDEX_URL: http://localhost:8629/2023-12-15	[ { "step_name": "main/4_Run [email protected]", "log": "##[group]Run pre-commit/[email protected]\nwith:\n extra_args: --all-files\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.33-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting setuptools (from nodeenv>=0.11.1->pre-commit)\n Downloading setuptools-69.0.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.8-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.6.0-py2.py3-none-any.whl (204 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 204.0/204.0 kB 6.8 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.33-py2.py3-none-any.whl (98 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 98.9/98.9 kB 26.4 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 725.0/725.0 kB 31.5 MB/s eta 0:00:00\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.8/3.8 MB 92.4 MB/s eta 0:00:00\nDownloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 468.9/468.9 kB 78.2 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading setuptools-69.0.2-py3-none-any.whl (819 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 819.5/819.5 kB 93.4 MB/s eta 0:00:00\nInstalling collected packages: distlib, setuptools, pyyaml, platformdirs, identify, filelock, cfgv, virtualenv, nodeenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.8 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.6.0 pyyaml-6.0.1 setuptools-69.0.2 virtualenv-20.25.0\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.8\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.6.0\nPyYAML==6.0.1\nsetuptools==69.0.2\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3\|/opt/hostedtoolcache/Python/3.12.1/x64\|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nCache Size: ~15 MB (15847689 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/83ce4811-68cf-4484-bf4e-4cfbe36bb31a/cache.tzst -P -C /home/runner/work/django-import-export/django-import-export --use-compress-program unzstd\nCache restored successfully\nCache restored from key: pre-commit-3\|/opt/hostedtoolcache/Python/3.12.1/x64\|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nblack....................................................................\u001b[42mPassed\u001b[m\nisort....................................................................\u001b[42mPassed\u001b[m\nflake8...................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: flake8\u001b[m\n\u001b[2m- exit code: 1\u001b[m\n\n\u001b[1mimport_export/admin.py\u001b[m\u001b[36m:\u001b[m749\u001b[36m:\u001b[m89\u001b[36m:\u001b[m \u001b[1m\u001b[31mE501\u001b[m line too long (96 > 88 characters)\n\u001b[1mimport_export/admin.py\u001b[m\u001b[36m:\u001b[m756\u001b[36m:\u001b[m89\u001b[36m:\u001b[m \u001b[1m\u001b[31mE501\u001b[m line too long (98 > 88 characters)\n\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/import_export/admin.py b/import_export/admin.py index a1b288e9..8bb2db67 100644 --- a/import_export/admin.py +++ b/import_export/admin.py @@ -746,14 +746,16 @@ class ExportMixin(BaseExportMixin, ImportExportMixinBase): def get_results(self, request): """ We override this method because we only call ChangeList.get_queryset() - so we don't need anything from this method. The get_results() gets called during - ChangeList.__init__() and we do want to avoid unnecessary COUNT queries. + so we don't need anything from this method. + The get_results() gets called during ChangeList.__init__() + and we do want to avoid unnecessary COUNT queries. """ pass cl = ExportChangeList(**changelist_kwargs) - # get_queryset() is already called during initialization, it is enough to get it's results + # get_queryset() is already called during initialization, + # it is enough to get it's results if hasattr(cl, "queryset"): return cl.queryset	0	[ "import_export/admin.py" ]	https://github.com/django-import-export/django-import-export/tree/2a59b55e6124b33dca7f48c12845c78130b20fd5	2023-12-15T10:43:14Z
Python	85	django-import-export	django-import-export	fix-declared-model-fields-altering-export-order	.github/workflows/pre-commit.yml	pre-commit.yml	.github/workflows/pre-commit.yml	cocorocho	2f0605c9ec79b7a675728cb525ad55b36ade2e93	d1e35b26f1cfc1bd08b03ac606fa8bcd26dc91cb	on: pull_request: push: branches: - main jobs: main: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 with: python-version: 3.x - uses: pre-commit/[email protected] - uses: pre-commit-ci/[email protected] if: always() env: PIP_INDEX_URL: http://localhost:8629/2023-11-22 UV_INDEX_URL: http://localhost:8629/2023-11-22	[ { "step_name": "main/4_Run [email protected]", "log": "##[group]Run pre-commit/[email protected]\nwith:\n extra_args: --all-files\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.5.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.32-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.24.7-py3-none-any.whl.metadata (4.5 kB)\nCollecting setuptools (from nodeenv>=0.11.1->pre-commit)\n Downloading setuptools-69.0.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.7-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.5.0-py2.py3-none-any.whl (203 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 203.7/203.7 kB 15.8 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.32-py2.py3-none-any.whl (98 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 98.9/98.9 kB 32.6 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 725.0/725.0 kB 49.7 MB/s eta 0:00:00\nDownloading virtualenv-20.24.7-py3-none-any.whl (3.8 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.8/3.8 MB 124.4 MB/s eta 0:00:00\nDownloading distlib-0.3.7-py2.py3-none-any.whl (468 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 468.9/468.9 kB 84.7 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.0.0-py3-none-any.whl (17 kB)\nDownloading setuptools-69.0.2-py3-none-any.whl (819 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 819.5/819.5 kB 99.2 MB/s eta 0:00:00\nInstalling collected packages: distlib, setuptools, pyyaml, platformdirs, identify, filelock, cfgv, virtualenv, nodeenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.7 filelock-3.13.1 identify-2.5.32 nodeenv-1.8.0 platformdirs-4.0.0 pre-commit-3.5.0 pyyaml-6.0.1 setuptools-69.0.2 virtualenv-20.24.7\n\n[notice] A new release of pip is available: 23.2.1 -> 23.3.1\n[notice] To update, run: pip install --upgrade pip\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.7\nfilelock==3.13.1\nidentify==2.5.32\nnodeenv==1.8.0\nplatformdirs==4.0.0\npre-commit==3.5.0\nPyYAML==6.0.1\nsetuptools==69.0.2\nvirtualenv==20.24.7\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3\|/opt/hostedtoolcache/Python/3.12.0/x64\|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\nCache Size: ~15 MB (15834028 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/98029e33-8cfe-40ab-80a4-dbe66e8ec82f/cache.tzst -P -C /home/runner/work/django-import-export/django-import-export --use-compress-program unzstd\nCache restored successfully\nCache restored from key: pre-commit-3\|/opt/hostedtoolcache/Python/3.12.0/x64\|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\nblack....................................................................\u001b[42mPassed\u001b[m\nisort....................................................................\u001b[42mPassed\u001b[m\nflake8...................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: flake8\u001b[m\n\u001b[2m- exit code: 1\u001b[m\n\n\u001b[1mimport_export/resources.py\u001b[m\u001b[36m:\u001b[m1360\u001b[36m:\u001b[m89\u001b[36m:\u001b[m \u001b[1m\u001b[31mE501\u001b[m line too long (101 > 88 characters)\n\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/import_export/resources.py b/import_export/resources.py index 7d7ad475..99c3fe91 100644 --- a/import_export/resources.py +++ b/import_export/resources.py @@ -1357,7 +1357,8 @@ class ModelDeclarativeMetaclass(DeclarativeMetaclass): continue if f.name in declared_fields: - # If model field is declared in `ModelResource`, remove it from `declared_fields` + # If model field is declared in `ModelResource`, + # remove it from `declared_fields` # to keep exact order of model fields field = declared_fields.pop(f.name) else:	0	[ "import_export/resources.py" ]	https://github.com/django-import-export/django-import-export/tree/2f0605c9ec79b7a675728cb525ad55b36ade2e93	2023-11-22T22:34:25Z
Python	86	django-import-export	django-import-export	release-4	.github/workflows/pre-commit.yml	pre-commit.yml	.github/workflows/pre-commit.yml	RobTilton	c359d794dd0e4baf40be48d584193f88c2213f37	857bb8b9f8df6c042d03fd331ac04c8d4bc35d8d	on: pull_request: push: branches: - main jobs: main: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 with: python-version: 3.x - uses: pre-commit/[email protected] - uses: pre-commit-ci/[email protected] if: always() env: PIP_INDEX_URL: http://localhost:8629/2023-12-05 UV_INDEX_URL: http://localhost:8629/2023-12-05	[ { "step_name": "main/4_Run [email protected]", "log": "##[group]Run pre-commit/[email protected]\nwith:\n extra_args: --all-files\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.5.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.32-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting setuptools (from nodeenv>=0.11.1->pre-commit)\n Downloading setuptools-69.0.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.7-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.5.0-py2.py3-none-any.whl (203 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 203.7/203.7 kB 15.5 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.32-py2.py3-none-any.whl (98 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 98.9/98.9 kB 31.4 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 725.0/725.0 kB 64.9 MB/s eta 0:00:00\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.8/3.8 MB 117.0 MB/s eta 0:00:00\nDownloading distlib-0.3.7-py2.py3-none-any.whl (468 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 468.9/468.9 kB 83.6 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading setuptools-69.0.2-py3-none-any.whl (819 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 819.5/819.5 kB 98.1 MB/s eta 0:00:00\nInstalling collected packages: distlib, setuptools, pyyaml, platformdirs, identify, filelock, cfgv, virtualenv, nodeenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.7 filelock-3.13.1 identify-2.5.32 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.5.0 pyyaml-6.0.1 setuptools-69.0.2 virtualenv-20.25.0\n\n[notice] A new release of pip is available: 23.2.1 -> 23.3.1\n[notice] To update, run: pip install --upgrade pip\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.7\nfilelock==3.13.1\nidentify==2.5.32\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.5.0\nPyYAML==6.0.1\nsetuptools==69.0.2\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3\|/opt/hostedtoolcache/Python/3.12.0/x64\|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\nCache Size: ~15 MB (15834028 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/57a1be88-e0dc-49f3-b641-71745b211e30/cache.tzst -P -C /home/runner/work/django-import-export/django-import-export --use-compress-program unzstd\nCache restored successfully\nCache restored from key: pre-commit-3\|/opt/hostedtoolcache/Python/3.12.0/x64\|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\nblack....................................................................\u001b[42mPassed\u001b[m\nisort....................................................................\u001b[42mPassed\u001b[m\nflake8...................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: flake8\u001b[m\n\u001b[2m- exit code: 1\u001b[m\n\n\u001b[1mtests/core/tests/test_resources/test_resources.py\u001b[m\u001b[36m:\u001b[m4\u001b[36m:\u001b[m1\u001b[36m:\u001b[m \u001b[1m\u001b[31mF401\u001b[m 'copy.deepcopy' imported but unused\n\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/docs/changelog.rst b/docs/changelog.rst index 09dc80c6..d20ed2e7 100644 --- a/docs/changelog.rst +++ b/docs/changelog.rst @@ -13,7 +13,6 @@ Please refer to :doc:`release notes<release_notes>`. - Import form defaults to read-only field if only one format defined (#1690) - Refactored :module:`~import_export.resources` into separate modules for ``declarative`` and ``options`` (#1695) - fix multiple inheritance not setting options (#1696) -- Refactored tests to remove dependencies between tests (#1703) 4.0.0-beta.1 (2023-11-16) -------------------------- diff --git a/import_export/admin.py b/import_export/admin.py index 167a4fe1..66964e4f 100644 --- a/import_export/admin.py +++ b/import_export/admin.py @@ -207,7 +207,7 @@ class ImportMixin(BaseImportMixin, ImportExportMixinBase): def generate_log_entries(self, result, request): if not self.get_skip_admin_log(): # Add imported objects to LogEntry - if django.VERSION >= (5, 0): + if django.VERSION >= (6, 0): self._log_actions(result, request) else: logentry_map = { diff --git a/tests/core/tests/test_resources/test_resources.py b/tests/core/tests/test_resources/test_resources.py index 82ef08bd..408317c7 100644 --- a/tests/core/tests/test_resources/test_resources.py +++ b/tests/core/tests/test_resources/test_resources.py @@ -1092,15 +1092,8 @@ class ModelResourceTest(TestCase): @ignore_widget_deprecation_warning def test_import_data_skip_unchanged(self): - class MyBookResource(resources.ModelResource): - save_count = 0 - - def save_instance(self, instance, is_create, row, **kwargs): - self.save_count += 1 - - class Meta: - skip_unchanged = True - model = Book + def attempted_save(instance, new, using_transactions, real_dry_run): + self.fail("Resource attempted to save instead of skipping") # Make sure we test with ManyToMany related objects cat1 = Category.objects.create(name="Cat 1") @@ -1111,15 +1104,16 @@ class ModelResourceTest(TestCase): # Create a new resource that attempts to reimport the data currently # in the database while skipping unchanged rows (i.e. all of them) - resource = MyBookResource() + resource = deepcopy(self.resource) + resource._meta.skip_unchanged = True + # Fail the test if the resource attempts to save the row + resource.save_instance = attempted_save result = resource.import_data(dataset, raise_errors=True) self.assertFalse(result.has_errors()) self.assertEqual(len(result.rows), len(dataset)) self.assertTrue(result.rows[0].diff) self.assertEqual(result.rows[0].import_type, results.RowResult.IMPORT_TYPE_SKIP) self.assertEqual(result.rows[0].object_id, self.book.pk) - if resource.save_count > 0: - self.fail("Resource attempted to save instead of skipping") # Test that we can suppress reporting of skipped rows resource._meta.report_skipped = False diff --git a/tests/core/tests/test_results.py b/tests/core/tests/test_results.py index 35db0268..fa2e487c 100644 --- a/tests/core/tests/test_results.py +++ b/tests/core/tests/test_results.py @@ -56,8 +56,12 @@ class ResultTest(TestCase): self.assertEqual("", row_result.object_repr) def test_add_instance_info(self): + class BookWithObjectRepr(Book): + def __str__(self): + return self.name + row_result = RowResult() - row_result.add_instance_info(Book(pk=1, name="some book")) + row_result.add_instance_info(BookWithObjectRepr(pk=1, name="some book")) self.assertEqual(1, row_result.object_id) self.assertEqual("some book", row_result.object_repr)	0	[ "docs/changelog.rst", "import_export/admin.py", "tests/core/tests/test_resources/test_resources.py", "tests/core/tests/test_results.py" ]	https://github.com/django-import-export/django-import-export/tree/c359d794dd0e4baf40be48d584193f88c2213f37	2023-12-05T16:44:56Z
Python	87	django-import-export	django-import-export	remove_count_queries	.github/workflows/pre-commit.yml	pre-commit.yml	.github/workflows/pre-commit.yml	PetrDlouhy	cfbbed910a5d84c08f9af237cf6737502c456f66	00e7b9c2dea1ec82ea39a3d957c0ed3142595c63	on: pull_request: push: branches: - main jobs: main: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 with: python-version: 3.x - uses: pre-commit/[email protected] - uses: pre-commit-ci/[email protected] if: always() env: PIP_INDEX_URL: http://localhost:8629/2023-12-14 UV_INDEX_URL: http://localhost:8629/2023-12-14	[ { "step_name": "main/4_Run [email protected]", "log": "##[group]Run pre-commit/[email protected]\nwith:\n extra_args: --all-files\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.33-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nCollecting setuptools (from nodeenv>=0.11.1->pre-commit)\n Downloading setuptools-69.0.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.8-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.6.0-py2.py3-none-any.whl (204 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 204.0/204.0 kB 21.9 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.33-py2.py3-none-any.whl (98 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 98.9/98.9 kB 28.4 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 725.0/725.0 kB 57.2 MB/s eta 0:00:00\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.8/3.8 MB 88.5 MB/s eta 0:00:00\nDownloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 468.9/468.9 kB 72.1 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading setuptools-69.0.2-py3-none-any.whl (819 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 819.5/819.5 kB 87.5 MB/s eta 0:00:00\nInstalling collected packages: distlib, setuptools, pyyaml, platformdirs, identify, filelock, cfgv, virtualenv, nodeenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.8 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.6.0 pyyaml-6.0.1 setuptools-69.0.2 virtualenv-20.25.0\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.8\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.6.0\nPyYAML==6.0.1\nsetuptools==69.0.2\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3\|/opt/hostedtoolcache/Python/3.12.1/x64\|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\nCache not found for input keys: pre-commit-3\|/opt/hostedtoolcache/Python/3.12.1/x64\|78083b3309c934e46e7d0a952b7a4c6dc6df8860edaa74474d06dd8c36e1b0a2\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\n[INFO]\u001b[m Initializing environment for https://github.com/psf/black.\n[INFO]\u001b[m Initializing environment for https://github.com/PyCQA/isort.\n[INFO]\u001b[m Initializing environment for https://github.com/PyCQA/flake8.\n[INFO]\u001b[m Installing environment for https://github.com/psf/black.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\n[INFO]\u001b[m Installing environment for https://github.com/PyCQA/isort.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\n[INFO]\u001b[m Installing environment for https://github.com/PyCQA/flake8.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\nblack....................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: black\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\n\u001b[1mreformatted import_export/admin.py\u001b[0m\n\n\u001b[1mAll done! ✨ 🍰 ✨\u001b[0m\n\u001b[34m\u001b[1m1 file \u001b[0m\u001b[1mreformatted\u001b[0m, \u001b[34m56 files \u001b[0mleft unchanged.\n\nisort....................................................................\u001b[42mPassed\u001b[m\nflake8...................................................................\u001b[42mPassed\u001b[m\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/import_export/admin.py b/import_export/admin.py\u001b[m\n\u001b[1mindex c5151ef..a39508d 100644\u001b[m\n\u001b[1m--- a/import_export/admin.py\u001b[m\n\u001b[1m+++ b/import_export/admin.py\u001b[m\n\u001b[36m@@ -747,6 +747,7 @@\u001b[m \u001b[mclass ExportMixin(BaseExportMixin, ImportExportMixinBase):\u001b[m\n \u001b[m\n class FakePaginator:\u001b[m\n count = 0\u001b[m\n\u001b[32m+\u001b[m\n original_get_paginator = self.get_paginator\u001b[m\n self.get_paginator = lambda request, queryset, per_page: FakePaginator()\u001b[m\n cl = ChangeList(**changelist_kwargs)\u001b[m\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/import_export/admin.py b/import_export/admin.py index c5151ef2..a39508d3 100644 --- a/import_export/admin.py +++ b/import_export/admin.py @@ -747,6 +747,7 @@ class ExportMixin(BaseExportMixin, ImportExportMixinBase): class FakePaginator: count = 0 + original_get_paginator = self.get_paginator self.get_paginator = lambda request, queryset, per_page: FakePaginator() cl = ChangeList(**changelist_kwargs)	0	[ "import_export/admin.py" ]	https://github.com/django-import-export/django-import-export/tree/cfbbed910a5d84c08f9af237cf6737502c456f66	2023-12-14T10:22:02Z
Python	89	hugsy	gef	use_info_proc_mapping	CI Test for GEF	run-tests.yml	.github/workflows/run-tests.yml	hugsy	76e35eca93562514943c5842cf2b0b8ec94a4763	d8b84e55be36327b0255559783551e9563ebf710	name: CI Test for GEF on: push: branches: - main pull_request: branches: - main jobs: build: strategy: fail-fast: false matrix: os: - ubuntu-22.04 - ubuntu-20.04 name: "Run Unit tests on ${{ matrix.os }}" runs-on: ${{ matrix.os }} services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 defaults: run: shell: bash steps: - uses: actions/checkout@v3 - name: Install python and toolchain run: \| sudo apt-get update sudo apt-get install -y gdb-multiarch python3-dev python3-pip python3-wheel python3-setuptools git cmake gcc g++ pkg-config libglib2.0-dev gdbserver qemu-user sudo python3 -m pip install --upgrade pip - name: Set runtime environment variables run: \| echo PY_VER=`gdb -q -nx -ex "pi print('.'.join(map(str, sys.version_info[:2])))" -ex quit` >> $GITHUB_ENV echo GEF_CI_NB_CPU=`grep -c ^processor /proc/cpuinfo` >> $GITHUB_ENV echo GEF_CI_ARCH=`uname --processor` >> $GITHUB_ENV echo GEF_CI_CACHE_DIR=`python3 -m pip cache dir` >> $GITHUB_ENV - name: Cache dependencies uses: actions/cache@v3 id: cache-deps env: cache-name: cache-deps with: key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }} path: ${{ env.GEF_CI_CACHE_DIR }} restore-keys: ${{ runner.os }}-pip-${{ env.cache-name }}- ${{ runner.os }}-pip- ${{ runner.os }}-${{ env.cache-name }}- ${{ runner.os }}- - name: Install Python Requirements run: \| mkdir -p ${{ env.GEF_CI_CACHE_DIR }} python${{ env.PY_VER }} -m pip install --user --upgrade -r tests/requirements.txt - name: Setup GEF run: \| echo "source $(pwd)/gef.py" > ~/.gdbinit gdb -q -ex 'gef missing' -ex 'gef help' -ex 'gef config' -ex start -ex continue -ex quit /bin/pwd - name: Run Tests run: \| make -C tests/binaries -j ${{ env.GEF_CI_NB_CPU }} python${{ env.PY_VER }} -m pytest --forked -n ${{ env.GEF_CI_NB_CPU }} -v -k "not benchmark" tests/ env: PIP_INDEX_URL: http://localhost:8629/2024-01-20 UV_INDEX_URL: http://localhost:8629/2024-01-20	[ { "step_name": "Run Unit tests on ubuntu-22.04/8_Run Tests.txt", "log": "##[group]Run make -C tests/binaries -j 4\n\u001b[36;1mmake -C tests/binaries -j 4\u001b[0m\n\u001b[36;1mpython3.10 -m pytest --forked -n 4 -v -k \"not benchmark\" tests/\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n PY_VER: 3.10\n GEF_CI_NB_CPU: 4\n GEF_CI_ARCH: x86_64\n GEF_CI_CACHE_DIR: /home/runner/.cache/pip\n##[endgroup]\nmake: Entering directory '/home/runner/work/gef/gef/tests/binaries'\n[+] Building '/tmp/bss.out'\n[+] Building '/tmp/canary.out'\n[+] Building '/tmp/checksec-no-canary.out'\n[+] Building '/tmp/checksec-no-nx.out'\n[+] Building '/tmp/checksec-no-pie.out'\n[+] Building '/tmp/default.out'\n[+] Building '/tmp/format-string-helper.out'\n[+] Building '/tmp/heap-analysis.out'\n[+] Building '/tmp/heap-bins.out'\n[+] Building '/tmp/heap-fastbins.out'\n[+] Building '/tmp/heap-multiple-heaps.out'\n[+] Building '/tmp/heap-non-main.out'\n[+] Building '/tmp/heap-tcache.out'\n[+] Building '/tmp/heap.out'\n[+] Building '/tmp/memwatch.out'\n[+] Building '/tmp/mmap-known-address.out'\n[+] Building '/tmp/nested.out'\n[+] Building '/tmp/nested2.out'\n[+] Building '/tmp/pattern.out'\n[+] Building '/tmp/pcustom.out'\n[+] Building '/tmp/class.out'\nmake: Leaving directory '/home/runner/work/gef/gef/tests/binaries'\n/home/runner/.local/lib/python3.10/site-packages/pytest_benchmark/logger.py:46: PytestBenchmarkWarning: Benchmarks are automatically disabled because xdist plugin is active.Benchmarks cannot be performed reliably in a parallelized environment.\n warner(PytestBenchmarkWarning(text))\n============================= test session starts ==============================\nplatform linux -- Python 3.10.12, pytest-7.4.4, pluggy-1.3.0 -- /usr/bin/python3.10\ncachedir: .pytest_cache\nbenchmark: 4.0.0 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)\nrootdir: /home/runner/work/gef/gef/tests\nconfigfile: pytest.ini\nplugins: benchmark-4.0.0, forked-1.6.0, xdist-3.5.0, cov-4.1.0\ncreated: 4/4 workers\n4 workers [168 items]\n\nscheduling tests via LoadScheduling\n\ntests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_elf_values \ntests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_tidx2size \ntests/commands/aliases.py::AliasesCommand::test_cmd_aliases_rm \ntests/api/gef_session.py::GefSessionApi::test_func_get_pid \n[gw0] [ 0%] PASSED tests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_elf_values \ntests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_gef_attributes \n[gw3] [ 1%] PASSED tests/commands/aliases.py::AliasesCommand::test_cmd_aliases_rm \ntests/commands/aslr.py::AslrCommand::test_cmd_aslr_show \n[gw2] [ 1%] PASSED tests/api/gef_session.py::GefSessionApi::test_func_get_pid \ntests/api/gef_session.py::GefSessionApi::test_root_dir_local \n[gw1] [ 2%] PASSED tests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_tidx2size \ntests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_only_running \n[gw0] [ 2%] PASSED tests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_gef_attributes \ntests/api/gef_arch.py::GefArchApi::test_api_gef_arch_ptrsize \n[gw3] [ 3%] PASSED tests/commands/aslr.py::AslrCommand::test_cmd_aslr_show \ntests/commands/aslr.py::AslrCommand::test_cmd_aslr_toggle \n[gw1] [ 4%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_only_running \ntests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps \n[gw2] [ 4%] PASSED tests/api/gef_session.py::GefSessionApi::test_root_dir_local \ntests/api/gef_session.py::GefSessionApi::test_root_dir_qemu \n[gw0] [ 5%] PASSED tests/api/gef_arch.py::GefArchApi::test_api_gef_arch_ptrsize \ntests/api/gef_arch.py::GefArchApi::test_api_gef_arch_x86 \n[gw0] [ 5%] SKIPPED tests/api/gef_arch.py::GefArchApi::test_api_gef_arch_x86 \ntests/api/gef_arch.py::GefArchApi::test_api_gef_arch_x86_64 \n[gw3] [ 6%] PASSED tests/commands/aslr.py::AslrCommand::test_cmd_aslr_toggle \ntests/commands/canary.py::CanaryCommand::test_cmd_canary \n[gw1] [ 7%] FAILED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps \ntests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps_expected_format \n[gw2] [ 7%] PASSED tests/api/gef_session.py::GefSessionApi::test_root_dir_qemu \ntests/api/gef_session.py::GefSessionApi::test_root_dir_remote \n[gw3] [ 8%] PASSED tests/commands/canary.py::CanaryCommand::test_cmd_canary \ntests/commands/canary.py::CanaryCommand::test_overwrite_canary \n[gw0] [ 8%] PASSED tests/api/gef_arch.py::GefArchApi::test_api_gef_arch_x86_64 \ntests/api/gef_disassemble.py::GefDisassembleApiFunction::test_func_gef_disassemble \n[gw1] [ 9%] FAILED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps_expected_format \ntests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_local_procfs \n[gw0] [ 10%] PASSED tests/api/gef_disassemble.py::GefDisassembleApiFunction::test_func_gef_disassemble \ntests/api/gef_disassemble.py::GefDisassembleApiFunction::test_func_gef_disassemble_page_border \n[gw3] [ 10%] PASSED tests/commands/canary.py::CanaryCommand::test_overwrite_canary \ntests/commands/checksec.py::ChecksecCommandNoCanary::test_cmd_checksec \n[gw2] [ 11%] PASSED tests/api/gef_session.py::GefSessionApi::test_root_dir_remote \ntests/api/misc.py::MiscFunctionTest::test_func_gef_convenience \n[gw1] [ 11%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_local_procfs \ntests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_remote_gdbserver \n[gw3] [ 12%] PASSED tests/commands/checksec.py::ChecksecCommandNoCanary::test_cmd_checksec \ntests/commands/checksec.py::ChecksecCommandNoNx::test_cmd_checksec \n[gw0] [ 13%] PASSED tests/api/gef_disassemble.py::GefDisassembleApiFunction::test_func_gef_disassemble_page_border \ntests/api/gef_heap.py::GefHeapApi::test_class_glibcarena_main_arena \n[gw2] [ 13%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_gef_convenience \ntests/api/misc.py::MiscFunctionTest::test_func_parse_address \n[gw3] [ 14%] PASSED tests/commands/checksec.py::ChecksecCommandNoNx::test_cmd_checksec \ntests/commands/checksec.py::ChecksecCommandNoPie::test_cmd_checksec \n[gw0] [ 14%] PASSED tests/api/gef_heap.py::GefHeapApi::test_class_glibcarena_main_arena \ntests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_csize2tidx \n[gw2] [ 15%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_parse_address \ntests/api/misc.py::MiscFunctionTest::test_func_show_last_exception \n[gw3] [ 16%] PASSED tests/commands/checksec.py::ChecksecCommandNoPie::test_cmd_checksec \ntests/commands/dereference.py::DereferenceCommand::test_cmd_dereference \n[gw0] [ 16%] PASSED tests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_csize2tidx \ntests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_malloc_align_address \n[gw2] [ 17%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_show_last_exception \ntests/api/misc.py::MiscFunctionTest::test_func_which \n[gw3] [ 17%] PASSED tests/commands/dereference.py::DereferenceCommand::test_cmd_dereference \ntests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_backwards \n[gw0] [ 18%] PASSED tests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_malloc_align_address \ntests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_forwards \n[gw2] [ 19%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_which \ntests/commands/aliases.py::AliasesCommand::test_cmd_aliases_add \n[gw3] [ 19%] PASSED tests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_backwards \ntests/commands/gef.py::GefCommand::test_cmd_gef_config_get \n[gw2] [ 20%] PASSED tests/commands/aliases.py::AliasesCommand::test_cmd_aliases_add \ntests/commands/aliases.py::AliasesCommand::test_cmd_aliases_list \n[gw0] [ 20%] PASSED tests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_forwards \ntests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_disable \n[gw3] [ 21%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_config_get \ntests/commands/gef.py::GefCommand::test_cmd_gef_config_set \n[gw2] [ 22%] PASSED tests/commands/aliases.py::AliasesCommand::test_cmd_aliases_list \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks \n[gw0] [ 22%] PASSED tests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_disable \ntests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_enable \n[gw3] [ 23%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_config_set \ntests/commands/gef.py::GefCommand::test_cmd_gef_help \n[gw2] [ 23%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_max_size_filter \n[gw3] [ 24%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_help \ntests/commands/gef.py::GefCommand::test_cmd_gef_install \n[gw0] [ 25%] PASSED tests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_enable \ntests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_toggle \n[gw3] [ 25%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_install \ntests/commands/gef.py::GefCommand::test_cmd_gef_run_and_run \n[gw2] [ 26%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_max_size_filter \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_min_size_filter \n[gw0] [ 26%] PASSED tests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_toggle \ntests/commands/elf_info.py::ElfInfoCommand::test_cmd_elf_info \n[gw3] [ 27%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_run_and_run \ntests/commands/gef.py::GefCommand::test_cmd_gef_save \n[gw0] [ 27%] PASSED tests/commands/elf_info.py::ElfInfoCommand::test_cmd_elf_info \ntests/commands/entry_break.py::EntryBreakCommand::test_cmd_entry_break \n[gw2] [ 28%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_min_size_filter \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_summary \n[gw3] [ 29%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_save \ntests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote \n[gw0] [ 29%] PASSED tests/commands/entry_break.py::EntryBreakCommand::test_cmd_entry_break \ntests/commands/format_string_helper.py::FormatStringHelperCommand::test_cmd_format_string_helper \n[gw2] [ 30%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_summary \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_with_count \n[gw1] [ 30%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_remote_gdbserver \ntests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_remote_qemu \n[gw0] [ 31%] PASSED tests/commands/format_string_helper.py::FormatStringHelperCommand::test_cmd_format_string_helper \ntests/commands/functions.py::FunctionsCommand::test_cmd_functions \n[gw3] [ 32%] PASSED tests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote \ntests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote_qemu_user \n[gw2] [ 32%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_with_count \ntests/commands/heap.py::HeapCommand::test_cmd_heap_set_arena \n[gw0] [ 33%] PASSED tests/commands/functions.py::FunctionsCommand::test_cmd_functions \ntests/commands/gef.py::GefCommand::test_cmd_gef \n[gw1] [ 33%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_remote_qemu \ntests/api/gef_memory.py::GefMemoryApi::test_func_parse_permissions \n[gw3] [ 34%] PASSED tests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote_qemu_user \ntests/commands/gef_remote.py::GefRemoteCommand::test_cmd_target_remote \n[gw2] [ 35%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_set_arena \ntests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_bins_non_main \n[gw0] [ 35%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef \ntests/commands/gef.py::GefCommand::test_cmd_gef_config \n[gw1] [ 36%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_func_parse_permissions \ntests/api/gef_session.py::GefSessionApi::test_func_auxiliary_vector \n[gw2] [ 36%] PASSED tests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_bins_non_main \ntests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_bins_tcache \n[gw0] [ 37%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_config \ntests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_large \n[gw3] [ 38%] PASSED tests/commands/gef_remote.py::GefRemoteCommand::test_cmd_target_remote \ntests/commands/got.py::GotCommand::test_cmd_got \n[gw1] [ 38%] PASSED tests/api/gef_session.py::GefSessionApi::test_func_auxiliary_vector \ntests/api/gef_session.py::GefSessionApi::test_func_get_filepath \n[gw2] [ 39%] PASSED tests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_bins_tcache \ntests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_chunks \n[gw0] [ 39%] PASSED tests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_large \ntests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_small \n[gw3] [ 40%] PASSED tests/commands/got.py::GotCommand::test_cmd_got \ntests/commands/heap.py::HeapCommand::test_cmd_heap_arenas \n[gw1] [ 41%] PASSED tests/api/gef_session.py::GefSessionApi::test_func_get_filepath \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_unwatch \n[gw0] [ 41%] PASSED tests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_small \ntests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_unsorted \n[gw2] [ 42%] PASSED tests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_chunks \ntests/commands/heap.py::HeapCommandMultipleHeaps::test_cmd_heap_chunks_mult_heaps \n[gw3] [ 42%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_arenas \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_no_arg \n[gw1] [ 43%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_unwatch \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_watch_basic \n[gw0] [ 44%] PASSED tests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_unsorted \ntests/commands/heap.py::HeapCommandTcache::test_cmd_heap_bins_tcache_all \n[gw2] [ 44%] PASSED tests/commands/heap.py::HeapCommandMultipleHeaps::test_cmd_heap_chunks_mult_heaps \ntests/commands/heap.py::HeapCommandClass::test_cmd_heap_chunks_summary_with_type_resolved \n[gw3] [ 45%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_no_arg \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_with_number \n[gw1] [ 45%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_watch_basic \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_watch_global_variable \n[gw3] [ 46%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_with_number \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction_force \n[gw2] [ 47%] PASSED tests/commands/heap.py::HeapCommandClass::test_cmd_heap_chunks_summary_with_type_resolved \ntests/commands/heap.py::HeapCommandFastBins::test_cmd_heap_bins_fast \n[gw0] [ 47%] PASSED tests/commands/heap.py::HeapCommandTcache::test_cmd_heap_bins_tcache_all \ntests/commands/heap_analysis.py::HeapAnalysisCommand::test_cmd_heap_analysis \n[gw1] [ 48%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_watch_global_variable \ntests/commands/name_break.py::NameBreakCommand::test_cmd_name_break \n[gw3] [ 48%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction_force \ntests/commands/nop.py::NopCommand::test_cmd_nop_check_b_and_n_same_time \n[gw2] [ 49%] PASSED tests/commands/heap.py::HeapCommandFastBins::test_cmd_heap_bins_fast \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop \n[gw1] [ 50%] PASSED tests/commands/name_break.py::NameBreakCommand::test_cmd_name_break \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes \n[gw0] [ 50%] PASSED tests/commands/heap_analysis.py::HeapAnalysisCommand::test_cmd_heap_analysis \ntests/commands/hexdump.py::HexdumpCommand::test_cmd_hexdump \n[gw3] [ 51%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_check_b_and_n_same_time \ntests/commands/nop.py::NopCommand::test_cmd_nop_force_arg_break_instruction \n[gw2] [ 51%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg \n[gw1] [ 52%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg \n[gw0] [ 52%] PASSED tests/commands/hexdump.py::HexdumpCommand::test_cmd_hexdump \ntests/commands/highlight.py::HighlightCommand::test_cmd_highlight \n[gw3] [ 53%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_force_arg_break_instruction \ntests/commands/nop.py::NopCommand::test_cmd_nop_i_arg \n[gw2] [ 54%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks \n[gw1] [ 54%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit \n[gw0] [ 55%] PASSED tests/commands/highlight.py::HighlightCommand::test_cmd_highlight \ntests/commands/hijack_fd.py::HijackFdCommand::test_cmd_hijack_fd \n[gw3] [ 55%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_i_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_i_arg_reaching_unmapped_area \n[gw2] [ 56%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks_force \n[gw0] [ 57%] PASSED tests/commands/hijack_fd.py::HijackFdCommand::test_cmd_hijack_fd \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_list \n[gw1] [ 57%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit_force \n[gw3] [ 58%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_i_arg_reaching_unmapped_area \ntests/commands/nop.py::NopCommand::test_cmd_nop_inactive \n[gw2] [ 58%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks_force \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction \n[gw0] [ 59%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_list \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_reset \n[gw1] [ 60%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit_force \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction \n[gw3] [ 60%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_inactive \ntests/commands/nop.py::NopCommand::test_cmd_nop_no_arg \n[gw2] [ 61%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction_force \n[gw0] [ 61%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_reset \ntests/commands/nop.py::NopCommandMmapKnownAddress::test_cmd_nop_invalid_end_address \n[gw1] [ 62%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction \ntests/commands/patch.py::PatchCommand::test_cmd_patch_string \n[gw3] [ 63%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_no_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_no_arg_break_instruction \n[gw2] [ 63%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction_force \ntests/commands/nop.py::NopCommandMmapKnownAddress::test_cmd_nop_as_bytes_invalid_end_address \n[gw0] [ 64%] PASSED tests/commands/nop.py::NopCommandMmapKnownAddress::test_cmd_nop_invalid_end_address \ntests/commands/patch.py::PatchCommand::test_cmd_patch \n[gw1] [ 64%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_string \ntests/commands/patch.py::PatchCommand::test_cmd_patch_word \n[gw3] [ 65%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_no_arg_break_instruction \ntests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom \n[gw0] [ 66%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch \ntests/commands/patch.py::PatchCommand::test_cmd_patch_byte \n[gw2] [ 66%] PASSED tests/commands/nop.py::NopCommandMmapKnownAddress::test_cmd_nop_as_bytes_invalid_end_address \ntests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_run \n[gw1] [ 67%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_word \ntests/commands/patch.py::PatchCommandBss::test_cmd_patch_qword_symbol \n[gw3] [ 67%] PASSED tests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom \ntests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom_show \n[gw0] [ 68%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_byte \ntests/commands/patch.py::PatchCommand::test_cmd_patch_byte_bytearray \n[gw2] [ 69%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_run \ntests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format \n[gw1] [ 69%] PASSED tests/commands/patch.py::PatchCommandBss::test_cmd_patch_qword_symbol \ntests/commands/pattern.py::PatternCommand::test_cmd_pattern_create \n[gw3] [ 70%] PASSED tests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom_show \ntests/commands/pie.py::PieCommand::test_cmd_pie \n[gw0] [ 70%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_byte_bytearray \ntests/commands/patch.py::PatchCommand::test_cmd_patch_dword \n[gw2] [ 71%] PASSED tests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format \ntests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format_bytearray \n[gw1] [ 72%] PASSED tests/commands/pattern.py::PatternCommand::test_cmd_pattern_create \ntests/commands/pattern.py::PatternCommand::test_cmd_pattern_search \n[gw3] [ 72%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie \ntests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_check \n[gw0] [ 73%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_dword \ntests/commands/patch.py::PatchCommand::test_cmd_patch_qword \n[gw2] [ 73%] PASSED tests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format_bytearray \ntests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search1 \n[gw3] [ 74%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_check \ntests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_delete \n[gw1] [ 75%] PASSED tests/commands/pattern.py::PatternCommand::test_cmd_pattern_search \ntests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search_smartscan \n[gw2] [ 75%] PASSED tests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search1 \ntests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern \n[gw0] [ 76%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_qword \ntests/commands/registers.py::RegistersCommand::test_cmd_registers \n[gw3] [ 76%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_delete \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_nok \n[gw1] [ 77%] PASSED tests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search_smartscan \ntests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search_wildcart \n[gw2] [ 77%] PASSED tests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern \ntests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern_regex \n[gw0] [ 78%] PASSED tests/commands/registers.py::RegistersCommand::test_cmd_registers \ntests/commands/reset_cache.py::ResetCacheCommand::test_cmd_reset_cache \n[gw3] [ 79%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_nok \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_ok \n[gw1] [ 79%] PASSED tests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search_wildcart \ntests/commands/process_status.py::ProcessStatusCommand::test_cmd_process_status \n[gw2] [ 80%] PASSED tests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern_regex \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode \n[gw0] [ 80%] PASSED tests/commands/reset_cache.py::ResetCacheCommand::test_cmd_reset_cache \ntests/commands/scan.py::ScanCommand::test_cmd_scan \n[gw3] [ 81%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_ok \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_search \n[gw1] [ 82%] PASSED tests/commands/process_status.py::ProcessStatusCommand::test_cmd_process_status \ntests/commands/skipi.py::SkipiCommand::test_cmd_skipi_no_arg \n[gw2] [ 82%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode \ntests/commands/skipi.py::SkipiCommand::test_cmd_skipi_two_instructions_from_location \n[gw0] [ 83%] PASSED tests/commands/scan.py::ScanCommand::test_cmd_scan \ntests/commands/stub.py::StubCommand::test_cmd_stub \n[gw3] [ 83%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_search \ntests/commands/skipi.py::SkipiCommand::test_cmd_nop_inactive \n[gw1] [ 84%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_skipi_no_arg \ntests/commands/skipi.py::SkipiCommand::test_cmd_skipi_skip_two_instructions \n[gw2] [ 85%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_skipi_two_instructions_from_location \ntests/commands/smart_eval.py::SmartEvalCommand::test_cmd_smart_eval \n[gw3] [ 85%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_nop_inactive \ntests/commands/trace_run.py::TraceRunCommand::test_cmd_trace_run \n[gw0] [ 86%] PASSED tests/commands/stub.py::StubCommand::test_cmd_stub \ntests/commands/theme.py::ThemeCommand::test_cmd_theme \n[gw1] [ 86%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_skipi_skip_two_instructions \ntests/commands/version.py::VersionCommand::test_cmd_version \n[gw2] [ 87%] PASSED tests/commands/smart_eval.py::SmartEvalCommand::test_cmd_smart_eval \ntests/commands/vmmap.py::VmmapCommand::test_cmd_vmmap \n[gw0] [ 88%] PASSED tests/commands/theme.py::ThemeCommand::test_cmd_theme \ntests/commands/xinfo.py::XinfoCommand::test_cmd_xinfo \n[gw3] [ 88%] PASSED tests/commands/trace_run.py::TraceRunCommand::test_cmd_trace_run \ntests/commands/xfiles.py::XfilesCommand::test_cmd_xfiles \n[gw1] [ 89%] PASSED tests/commands/version.py::VersionCommand::test_cmd_version \ntests/commands/xinfo.py::XinfoCommandClass::test_cmd_xinfo_on_class \n[gw2] [ 89%] PASSED tests/commands/vmmap.py::VmmapCommand::test_cmd_vmmap \ntests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_display \n[gw0] [ 90%] PASSED tests/commands/xinfo.py::XinfoCommand::test_cmd_xinfo \ntests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_patch \n[gw3] [ 91%] PASSED tests/commands/xfiles.py::XfilesCommand::test_cmd_xfiles \ntests/config/__init__.py::TestGefConfigUnit::test_config_hook_validator \n[gw1] [ 91%] PASSED tests/commands/xinfo.py::XinfoCommandClass::test_cmd_xinfo_on_class \ntests/config/__init__.py::TestGefConfigUnit::test_config_libc_version \n[gw2] [ 92%] PASSED tests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_display \ntests/config/__init__.py::TestGefConfigUnit::test_config_show_opcodes_size \n[gw0] [ 92%] PASSED tests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_patch \ntests/config/__init__.py::TestGefConfigUnit::test_config_type_validator \n[gw3] [ 93%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_hook_validator \ntests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_base \n[gw1] [ 94%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_libc_version \ntests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_stack \n[gw2] [ 94%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_show_opcodes_size \ntests/functions/elf_sections.py::ElfSectionGdbFunctionBss::test_func_bss \n[gw0] [ 95%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_type_validator \ntests/functions/elf_sections.py::ElfSectionGdbFunctionHeap::test_func_got \n[gw3] [ 95%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_base \ntests/functions/elf_sections.py::ElfSectionGdbFunctionHeap::test_func_heap \n[gw1] [ 96%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_stack \ntests/regressions/gdbserver_connection.py::RegressionGdbserverConnection::test_can_establish_connection_to_gdbserver_again_after_disconnect \n[gw2] [ 97%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunctionBss::test_func_bss \ntests/regressions/registers_register_order.py::RegressionRegisterOrder::test_registers_show_registers_in_correct_order \n[gw0] [ 97%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunctionHeap::test_func_got \ntests/regressions/registers_register_order.py::RegressionRegisterOrderNested::test_context_correct_registers_refresh_with_frames \n[gw3] [ 98%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunctionHeap::test_func_heap \n[gw2] [ 98%] PASSED tests/regressions/registers_register_order.py::RegressionRegisterOrder::test_registers_show_registers_in_correct_order \n[gw0] [ 99%] PASSED tests/regressions/registers_register_order.py::RegressionRegisterOrderNested::test_context_correct_registers_refresh_with_frames \n[gw1] [100%] PASSED tests/regressions/gdbserver_connection.py::RegressionGdbserverConnection::test_can_establish_connection_to_gdbserver_again_after_disconnect \n\n=================================== FAILURES ===================================\n____________ GefMemoryApi.test_api_gef_memory_parse_info_proc_maps _____________\n[gw1] linux -- Python 3.10.12 /usr/bin/python3.10\nself = <tests.api.gef_memory.GefMemoryApi testMethod=test_api_gef_memory_parse_info_proc_maps>\n\n def test_api_gef_memory_parse_info_proc_maps(self):\n gdb, gef, root = self._gdb, self._gef, self._conn.root\n gdb.execute(\"start\")\n \n Section = root.eval(\"Section\")\n \n> if self.gdb_version < (11, 0):\nE TypeError: '<' not supported between instances of 'list' and 'tuple'\n\ntests/api/gef_memory.py:71: TypeError\n----------------------------- Captured stdout call -----------------------------\nReading symbols from /tmp/default.out...\n\u001b[32mGEF\u001b[0m for linux ready, type `\u001b[4m\u001b[33mgef\u001b[24m\u001b[0m' to start, `\u001b[4m\u001b[35mgef config\u001b[24m\u001b[0m' to configure\n\u001b[1m\u001b[32m88\u001b[0m commands loaded and \u001b[1m\u001b[34m5\u001b[0m functions added for GDB \u001b[1m\u001b[33m12.1\u001b[0m in 0.01ms using Python engine \u001b[1m\u001b[31m3.10\u001b[0m\n[+] Breaking at '0x1169'\n[Thread debugging using libthread_db enabled]\nUsing host libthread_db library \"/lib/x86_64-linux-gnu/libthread_db.so.1\".\n───────────────────────────────────────────────────────────────────────────────────── registers ────\n$rax : 0x0000555555555169 → <main+0> endbr64 \n$rbx : 0x0 \n$rcx : 0x0000555555557db8 → 0x0000555555555120 → <__do_global_dtors_aux+0> endbr64 \n$rdx : 0x00007fffffffd758 → 0x00007fffffffdcc8 → \"GITHUB_STATE=/home/runner/work/_temp/_runner_file_[...]\"\n$rsp : 0x00007fffffffd600 → 0x0000000000000002\n$rbp : 0x00007fffffffd630 → 0x0000000000000001\n$rsi : 0x00007fffffffd748 → 0x00007fffffffdcb7 → \"/tmp/default.out\"\n$rdi : 0x1 \n$rip : 0x0000555555555180 → <main+23> mov rax, QWORD PTR fs:0x28\n$r8 : 0x00007ffff7e1bf10 → 0x0000000000000004\n$r9 : 0x00007ffff7fc9040 → <_dl_fini+0> endbr64 \n$r10 : 0x00007ffff7fc3908 → 0x000d00120000000e\n$r11 : 0x00007ffff7fde660 → <_dl_audit_preinit+0> endbr64 \n$r12 : 0x00007fffffffd748 → 0x00007fffffffdcb7 → \"/tmp/default.out\"\n$r13 : 0x0000555555555169 → <main+0> endbr64 \n$r14 : 0x0000555555557db8 → 0x0000555555555120 → <__do_global_dtors_aux+0> endbr64 \n$r15 : 0x00007ffff7ffd040 → 0x00007ffff7ffe2e0 → 0x0000555555554000 → jg 0x555555554047\n$eflags: [zero carry PARITY adjust sign trap INTERRUPT direction overflow resume virtualx86 identification]\n$cs: 0x33 $ss: 0x2b $ds: 0x00 $es: 0x00 $fs: 0x00 $gs: 0x00 \n───────────────────────────────────────────────────────────────────────────────────────── stack ────\n0x00007fffffffd600│+0x0000: 0x0000000000000002\t ← $rsp\n0x00007fffffffd608│+0x0008: 0x00007fffffffd758 → 0x00007fffffffdcc8 → \"GITHUB_STATE=/home/runner/work/_temp/_runner_file_[...]\"\n0x00007fffffffd610│+0x0010: 0x00007fffffffd748 → 0x00007fffffffdcb7 → \"/tmp/default.out\"\n0x00007fffffffd618│+0x0018: 0x0000000100000064 (\"d\"?)\n0x00007fffffffd620│+0x0020: 0x0000000000001000\n0x00007fffffffd628│+0x0028: 0x0000555555555080 → <_start+0> endbr64 \n0x00007fffffffd630│+0x0030: 0x0000000000000001\t ← $rbp\n0x00007fffffffd638│+0x0038: 0x00007ffff7c29d90 → <__libc_start_call_main+128> mov edi, eax\n─────────────────────────────────────────────────────────────────────────────────── code:x86:64 ────\n 0x555555555175 <main+12> mov DWORD PTR [rbp-0x14], edi\n 0x555555555178 <main+15> mov QWORD PTR [rbp-0x20], rsi\n 0x55555555517c <main+19> mov QWORD PTR [rbp-0x28], rdx\n → 0x555555555180 <main+23> mov rax, QWORD PTR fs:0x28\n 0x555555555189 <main+32> mov QWORD PTR [rbp-0x8], rax\n 0x55555555518d <main+36> xor eax, eax\n 0x55555555518f <main+38> lea rax, [rip+0xe6e] # 0x555555556004\n 0x555555555196 <main+45> mov rdi, rax\n 0x555555555199 <main+48> call 0x555555555060 <puts@plt>\n─────────────────────────────────────────────────────────────────────────── source:default.c+13 ────\n 8\t #include <stdlib.h>\n 9\t #include <unistd.h>\n 10\t \n 11\t \n 12\t int main(int argc, char argv, char envp)\n → 13\t {\n 14\t printf(\"Hello World!\\n\");\n 15\t return EXIT_SUCCESS;\n 16\t }\n─────────────────────────────────────────────────────────────────────────────────────── threads ────\n[#0] Id 1, Name: \"default.out\", stopped 0x555555555180 in main (), reason: BREAKPOINT\n───────────────────────────────────────────────────────────────────────────────────────── trace ────\n[#0] 0x555555555180 → main(argc=0x1, argv=0x7fffffffd748, envp=0x7fffffffd758)\n────────────────────────────────────────────────────────────────────────────────────────────────────\n\n----------------------------- Captured stderr call -----------------------------\nError while writing index for `/tmp/default.out': mkstemp: No such file or directory.\nTERM environment variable not set.\nWARNING:REMOTEDEBUG/25467:keyboard interrupt!\n____ GefMemoryApi.test_api_gef_memory_parse_info_proc_maps_expected_format _____\n[gw1] linux -- Python 3.10.12 /usr/bin/python3.10\nself = <tests.api.gef_memory.GefMemoryApi testMethod=test_api_gef_memory_parse_info_proc_maps_expected_format>\n\n def test_api_gef_memory_parse_info_proc_maps_expected_format(self):\n> if self.gdb_version < (11, 0):\nE TypeError: '<' not supported between instances of 'list' and 'tuple'\n\ntests/api/gef_memory.py:36: TypeError\n----------------------------- Captured stdout call -----------------------------\nReading symbols from /tmp/default.out...\n\u001b[32mGEF\u001b[0m for linux ready, type `\u001b[4m\u001b[33mgef\u001b[24m\u001b[0m' to start, `\u001b[4m\u001b[35mgef config\u001b[24m\u001b[0m' to configure\n\u001b[1m\u001b[32m88\u001b[0m commands loaded and \u001b[1m\u001b[34m5\u001b[0m functions added for GDB \u001b[1m\u001b[33m12.1\u001b[0m in 0.00ms using Python engine \u001b[1m\u001b[31m3.10\u001b[0m\n\n----------------------------- Captured stderr call -----------------------------\nError while writing index for `/tmp/default.out': mkstemp: No such file or directory.\nWARNING:REMOTEDEBUG/8616:keyboard interrupt!\n=========================== short test summary info ============================\nFAILED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps\nFAILED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps_expected_format\n============= 2 failed, 165 passed, 1 skipped in 61.42s (0:01:01) ==============\n##[error]Process completed with exit code 1.\n" }, { "step_name": "Run Unit tests on ubuntu-20.04/8_Run Tests.txt", "log": "##[group]Run make -C tests/binaries -j 4\n\u001b[36;1mmake -C tests/binaries -j 4\u001b[0m\n\u001b[36;1mpython3.8 -m pytest --forked -n 4 -v -k \"not benchmark\" tests/\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n PY_VER: 3.8\n GEF_CI_NB_CPU: 4\n GEF_CI_ARCH: x86_64\n GEF_CI_CACHE_DIR: /home/runner/.cache/pip\n##[endgroup]\nmake: Entering directory '/home/runner/work/gef/gef/tests/binaries'\n[+] Building '/tmp/heap.out'\n[+] Building '/tmp/bss.out'\n[+] Building '/tmp/canary.out'\n[+] Building '/tmp/heap-multiple-heaps.out'\n[+] Building '/tmp/checksec-no-canary.out'\n[+] Building '/tmp/format-string-helper.out'\n[+] Building '/tmp/checksec-no-nx.out'\n[+] Building '/tmp/heap-non-main.out'\n[+] Building '/tmp/nested2.out'\n[+] Building '/tmp/mmap-known-address.out'\n[+] Building '/tmp/heap-analysis.out'\n[+] Building '/tmp/default.out'\n[+] Building '/tmp/heap-tcache.out'\n[+] Building '/tmp/nested.out'\n[+] Building '/tmp/checksec-no-pie.out'\n[+] Building '/tmp/heap-bins.out'\n[+] Building '/tmp/pattern.out'\n[+] Building '/tmp/memwatch.out'\n[+] Building '/tmp/pcustom.out'\n[+] Building '/tmp/heap-fastbins.out'\n[+] Building '/tmp/class.out'\nmake: Leaving directory '/home/runner/work/gef/gef/tests/binaries'\n============================= test session starts ==============================\nplatform linux -- Python 3.8.10, pytest-7.4.4, pluggy-1.3.0 -- /usr/bin/python3.8\ncachedir: .pytest_cache\nbenchmark: 4.0.0 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)\nrootdir: /home/runner/work/gef/gef/tests\nconfigfile: pytest.ini\nplugins: forked-1.6.0, xdist-3.5.0, benchmark-4.0.0, cov-4.1.0\ncreated: 4/4 workers\n4 workers [168 items]\n\nscheduling tests via LoadScheduling\n\ntests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_elf_values \ntests/api/gef_session.py::GefSessionApi::test_func_get_pid \ntests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_tidx2size \ntests/commands/aliases.py::AliasesCommand::test_cmd_aliases_rm \n[gw0] [ 0%] PASSED tests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_elf_values \ntests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_gef_attributes \n[gw3] [ 1%] PASSED tests/commands/aliases.py::AliasesCommand::test_cmd_aliases_rm \ntests/commands/aslr.py::AslrCommand::test_cmd_aslr_show \n[gw2] [ 1%] PASSED tests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_tidx2size \ntests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_only_running \n[gw1] [ 2%] PASSED tests/api/gef_session.py::GefSessionApi::test_func_get_pid \ntests/api/gef_session.py::GefSessionApi::test_root_dir_local \n[gw3] [ 2%] PASSED tests/commands/aslr.py::AslrCommand::test_cmd_aslr_show \ntests/commands/aslr.py::AslrCommand::test_cmd_aslr_toggle \n[gw0] [ 3%] PASSED tests/api/deprecated.py::GefFuncDeprecatedApi::test_deprecated_gef_attributes \ntests/api/gef_arch.py::GefArchApi::test_api_gef_arch_ptrsize \n[gw2] [ 4%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_only_running \ntests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps \n[gw1] [ 4%] PASSED tests/api/gef_session.py::GefSessionApi::test_root_dir_local \ntests/api/gef_session.py::GefSessionApi::test_root_dir_qemu \n[gw3] [ 5%] PASSED tests/commands/aslr.py::AslrCommand::test_cmd_aslr_toggle \ntests/commands/canary.py::CanaryCommand::test_cmd_canary \n[gw0] [ 5%] PASSED tests/api/gef_arch.py::GefArchApi::test_api_gef_arch_ptrsize \ntests/api/gef_arch.py::GefArchApi::test_api_gef_arch_x86 \n[gw0] [ 6%] SKIPPED tests/api/gef_arch.py::GefArchApi::test_api_gef_arch_x86 \ntests/api/gef_arch.py::GefArchApi::test_api_gef_arch_x86_64 \n[gw1] [ 7%] PASSED tests/api/gef_session.py::GefSessionApi::test_root_dir_qemu \ntests/api/gef_session.py::GefSessionApi::test_root_dir_remote \n[gw2] [ 7%] FAILED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps \ntests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps_expected_format \n[gw3] [ 8%] PASSED tests/commands/canary.py::CanaryCommand::test_cmd_canary \ntests/commands/canary.py::CanaryCommand::test_overwrite_canary \n[gw0] [ 8%] PASSED tests/api/gef_arch.py::GefArchApi::test_api_gef_arch_x86_64 \ntests/api/gef_disassemble.py::GefDisassembleApiFunction::test_func_gef_disassemble \n[gw2] [ 9%] FAILED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps_expected_format \ntests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_local_procfs \n[gw3] [ 10%] PASSED tests/commands/canary.py::CanaryCommand::test_overwrite_canary \ntests/commands/checksec.py::ChecksecCommandNoCanary::test_cmd_checksec \n[gw0] [ 10%] PASSED tests/api/gef_disassemble.py::GefDisassembleApiFunction::test_func_gef_disassemble \ntests/api/gef_disassemble.py::GefDisassembleApiFunction::test_func_gef_disassemble_page_border \n[gw1] [ 11%] PASSED tests/api/gef_session.py::GefSessionApi::test_root_dir_remote \ntests/api/misc.py::MiscFunctionTest::test_func_gef_convenience \n[gw2] [ 11%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_local_procfs \ntests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_remote_gdbserver \n[gw3] [ 12%] PASSED tests/commands/checksec.py::ChecksecCommandNoCanary::test_cmd_checksec \ntests/commands/checksec.py::ChecksecCommandNoNx::test_cmd_checksec \n[gw0] [ 13%] PASSED tests/api/gef_disassemble.py::GefDisassembleApiFunction::test_func_gef_disassemble_page_border \ntests/api/gef_heap.py::GefHeapApi::test_class_glibcarena_main_arena \n[gw1] [ 13%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_gef_convenience \ntests/api/misc.py::MiscFunctionTest::test_func_parse_address \n[gw3] [ 14%] PASSED tests/commands/checksec.py::ChecksecCommandNoNx::test_cmd_checksec \ntests/commands/checksec.py::ChecksecCommandNoPie::test_cmd_checksec \n[gw1] [ 14%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_parse_address \ntests/api/misc.py::MiscFunctionTest::test_func_show_last_exception \n[gw0] [ 15%] PASSED tests/api/gef_heap.py::GefHeapApi::test_class_glibcarena_main_arena \ntests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_csize2tidx \n[gw3] [ 16%] PASSED tests/commands/checksec.py::ChecksecCommandNoPie::test_cmd_checksec \ntests/commands/dereference.py::DereferenceCommand::test_cmd_dereference \n[gw1] [ 16%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_show_last_exception \ntests/api/misc.py::MiscFunctionTest::test_func_which \n[gw0] [ 17%] PASSED tests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_csize2tidx \ntests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_malloc_align_address \n[gw3] [ 17%] PASSED tests/commands/dereference.py::DereferenceCommand::test_cmd_dereference \ntests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_backwards \n[gw1] [ 18%] PASSED tests/api/misc.py::MiscFunctionTest::test_func_which \ntests/commands/aliases.py::AliasesCommand::test_cmd_aliases_add \n[gw0] [ 19%] PASSED tests/api/gef_heap.py::GefHeapApi::test_func_gef_heap_malloc_align_address \ntests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_forwards \n[gw3] [ 19%] PASSED tests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_backwards \ntests/commands/gef.py::GefCommand::test_cmd_gef_config_get \n[gw1] [ 20%] PASSED tests/commands/aliases.py::AliasesCommand::test_cmd_aliases_add \ntests/commands/aliases.py::AliasesCommand::test_cmd_aliases_list \n[gw0] [ 20%] PASSED tests/commands/dereference.py::DereferenceCommand::test_cmd_dereference_forwards \ntests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_disable \n[gw3] [ 21%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_config_get \ntests/commands/gef.py::GefCommand::test_cmd_gef_config_set \n[gw1] [ 22%] PASSED tests/commands/aliases.py::AliasesCommand::test_cmd_aliases_list \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks \n[gw3] [ 22%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_config_set \ntests/commands/gef.py::GefCommand::test_cmd_gef_help \n[gw0] [ 23%] PASSED tests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_disable \ntests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_enable \n[gw1] [ 23%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_max_size_filter \n[gw3] [ 24%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_help \ntests/commands/gef.py::GefCommand::test_cmd_gef_install \n[gw0] [ 25%] PASSED tests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_enable \ntests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_toggle \n[gw1] [ 25%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_max_size_filter \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_min_size_filter \n[gw3] [ 26%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_install \ntests/commands/gef.py::GefCommand::test_cmd_gef_run_and_run \n[gw0] [ 26%] PASSED tests/commands/edit_flags.py::EditFlagsCommand::test_cmd_edit_flags_toggle \ntests/commands/elf_info.py::ElfInfoCommand::test_cmd_elf_info \n[gw3] [ 27%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_run_and_run \ntests/commands/gef.py::GefCommand::test_cmd_gef_save \n[gw1] [ 27%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_min_size_filter \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_summary \n[gw0] [ 28%] PASSED tests/commands/elf_info.py::ElfInfoCommand::test_cmd_elf_info \ntests/commands/entry_break.py::EntryBreakCommand::test_cmd_entry_break \n[gw3] [ 29%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_save \ntests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote \n[gw1] [ 29%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_summary \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_with_count \n[gw0] [ 30%] PASSED tests/commands/entry_break.py::EntryBreakCommand::test_cmd_entry_break \ntests/commands/format_string_helper.py::FormatStringHelperCommand::test_cmd_format_string_helper \n[gw1] [ 30%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunks_with_count \ntests/commands/heap.py::HeapCommand::test_cmd_heap_set_arena \n[gw0] [ 31%] PASSED tests/commands/format_string_helper.py::FormatStringHelperCommand::test_cmd_format_string_helper \ntests/commands/functions.py::FunctionsCommand::test_cmd_functions \n[gw3] [ 32%] PASSED tests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote \ntests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote_qemu_user \n[gw2] [ 32%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_remote_gdbserver \ntests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_remote_qemu \n[gw0] [ 33%] PASSED tests/commands/functions.py::FunctionsCommand::test_cmd_functions \ntests/commands/gef.py::GefCommand::test_cmd_gef \n[gw3] [ 33%] PASSED tests/commands/gef_remote.py::GefRemoteCommand::test_cmd_gef_remote_qemu_user \ntests/commands/gef_remote.py::GefRemoteCommand::test_cmd_target_remote \n[gw1] [ 34%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_set_arena \ntests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_bins_non_main \n[gw2] [ 35%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_func_parse_maps_remote_qemu \ntests/api/gef_memory.py::GefMemoryApi::test_func_parse_permissions \n[gw0] [ 35%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef \ntests/commands/gef.py::GefCommand::test_cmd_gef_config \n[gw1] [ 36%] PASSED tests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_bins_non_main \ntests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_bins_tcache \n[gw2] [ 36%] PASSED tests/api/gef_memory.py::GefMemoryApi::test_func_parse_permissions \ntests/api/gef_session.py::GefSessionApi::test_func_auxiliary_vector \n[gw0] [ 37%] PASSED tests/commands/gef.py::GefCommand::test_cmd_gef_config \ntests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_large \n[gw3] [ 38%] PASSED tests/commands/gef_remote.py::GefRemoteCommand::test_cmd_target_remote \ntests/commands/got.py::GotCommand::test_cmd_got \n[gw1] [ 38%] PASSED tests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_bins_tcache \ntests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_chunks \n[gw2] [ 39%] PASSED tests/api/gef_session.py::GefSessionApi::test_func_auxiliary_vector \ntests/api/gef_session.py::GefSessionApi::test_func_get_filepath \n[gw0] [ 39%] PASSED tests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_large \ntests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_small \n[gw3] [ 40%] PASSED tests/commands/got.py::GotCommand::test_cmd_got \ntests/commands/heap.py::HeapCommand::test_cmd_heap_arenas \n[gw2] [ 41%] PASSED tests/api/gef_session.py::GefSessionApi::test_func_get_filepath \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_unwatch \n[gw1] [ 41%] PASSED tests/commands/heap.py::HeapCommandNonMain::test_cmd_heap_chunks \ntests/commands/heap.py::HeapCommandMultipleHeaps::test_cmd_heap_chunks_mult_heaps \n[gw0] [ 42%] PASSED tests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_small \ntests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_unsorted \n[gw3] [ 42%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_arenas \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_no_arg \n[gw2] [ 43%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_unwatch \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_watch_basic \n[gw1] [ 44%] PASSED tests/commands/heap.py::HeapCommandMultipleHeaps::test_cmd_heap_chunks_mult_heaps \ntests/commands/heap.py::HeapCommandClass::test_cmd_heap_chunks_summary_with_type_resolved \n[gw0] [ 44%] PASSED tests/commands/heap.py::HeapCommandBins::test_cmd_heap_bins_unsorted \ntests/commands/heap.py::HeapCommandTcache::test_cmd_heap_bins_tcache_all \n[gw3] [ 45%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_no_arg \ntests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_with_number \n[gw2] [ 45%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_watch_basic \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_watch_global_variable \n[gw1] [ 46%] PASSED tests/commands/heap.py::HeapCommandClass::test_cmd_heap_chunks_summary_with_type_resolved \ntests/commands/heap.py::HeapCommandFastBins::test_cmd_heap_bins_fast \n[gw3] [ 47%] PASSED tests/commands/heap.py::HeapCommand::test_cmd_heap_chunk_with_number \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction_force \n[gw0] [ 47%] PASSED tests/commands/heap.py::HeapCommandTcache::test_cmd_heap_bins_tcache_all \ntests/commands/heap_analysis.py::HeapAnalysisCommand::test_cmd_heap_analysis \n[gw1] [ 48%] PASSED tests/commands/heap.py::HeapCommandFastBins::test_cmd_heap_bins_fast \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop \n[gw2] [ 48%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_watch_global_variable \ntests/commands/name_break.py::NameBreakCommand::test_cmd_name_break \n[gw3] [ 49%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction_force \ntests/commands/nop.py::NopCommand::test_cmd_nop_check_b_and_n_same_time \n[gw0] [ 50%] PASSED tests/commands/heap_analysis.py::HeapAnalysisCommand::test_cmd_heap_analysis \ntests/commands/hexdump.py::HexdumpCommand::test_cmd_hexdump \n[gw1] [ 50%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg \n[gw2] [ 51%] PASSED tests/commands/name_break.py::NameBreakCommand::test_cmd_name_break \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes \n[gw3] [ 51%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_check_b_and_n_same_time \ntests/commands/nop.py::NopCommand::test_cmd_nop_force_arg_break_instruction \n[gw0] [ 52%] PASSED tests/commands/hexdump.py::HexdumpCommand::test_cmd_hexdump \ntests/commands/highlight.py::HighlightCommand::test_cmd_highlight \n[gw1] [ 52%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks \n[gw2] [ 53%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg \n[gw3] [ 54%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_force_arg_break_instruction \ntests/commands/nop.py::NopCommand::test_cmd_nop_i_arg \n[gw0] [ 54%] PASSED tests/commands/highlight.py::HighlightCommand::test_cmd_highlight \ntests/commands/hijack_fd.py::HijackFdCommand::test_cmd_hijack_fd \n[gw1] [ 55%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks_force \n[gw3] [ 55%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_i_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_i_arg_reaching_unmapped_area \n[gw2] [ 56%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit \n[gw0] [ 57%] PASSED tests/commands/hijack_fd.py::HijackFdCommand::test_cmd_hijack_fd \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_list \n[gw1] [ 57%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_arg_multibnop_breaks_force \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction \n[gw3] [ 58%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_i_arg_reaching_unmapped_area \ntests/commands/nop.py::NopCommand::test_cmd_nop_inactive \n[gw2] [ 58%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit_force \n[gw0] [ 59%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_list \ntests/commands/memory.py::MemoryCommand::test_cmd_memory_reset \n[gw1] [ 60%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction \ntests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction_force \n[gw3] [ 60%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_inactive \ntests/commands/nop.py::NopCommand::test_cmd_nop_no_arg \n[gw2] [ 61%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_arg_nops_no_fit_force \ntests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction \n[gw0] [ 61%] PASSED tests/commands/memory.py::MemoryCommand::test_cmd_memory_reset \ntests/commands/nop.py::NopCommandMmapKnownAddress::test_cmd_nop_invalid_end_address \n[gw1] [ 62%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_nop_break_instruction_force \ntests/commands/nop.py::NopCommandMmapKnownAddress::test_cmd_nop_as_bytes_invalid_end_address \n[gw3] [ 63%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_no_arg \ntests/commands/nop.py::NopCommand::test_cmd_nop_no_arg_break_instruction \n[gw2] [ 63%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_bytes_break_instruction \ntests/commands/patch.py::PatchCommand::test_cmd_patch_string \n[gw0] [ 64%] PASSED tests/commands/nop.py::NopCommandMmapKnownAddress::test_cmd_nop_invalid_end_address \ntests/commands/patch.py::PatchCommand::test_cmd_patch \n[gw1] [ 64%] PASSED tests/commands/nop.py::NopCommandMmapKnownAddress::test_cmd_nop_as_bytes_invalid_end_address \ntests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom \n[gw3] [ 65%] PASSED tests/commands/nop.py::NopCommand::test_cmd_nop_no_arg_break_instruction \ntests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_run \n[gw2] [ 66%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_string \ntests/commands/patch.py::PatchCommand::test_cmd_patch_word \n[gw0] [ 66%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch \ntests/commands/patch.py::PatchCommand::test_cmd_patch_byte \n[gw1] [ 67%] PASSED tests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom \ntests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom_show \n[gw3] [ 67%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_run \ntests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format \n[gw2] [ 68%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_word \ntests/commands/patch.py::PatchCommandBss::test_cmd_patch_qword_symbol \n[gw0] [ 69%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_byte \ntests/commands/patch.py::PatchCommand::test_cmd_patch_byte_bytearray \n[gw3] [ 69%] PASSED tests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format \ntests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format_bytearray \n[gw1] [ 70%] PASSED tests/commands/pcustom.py::PcustomCommand::test_cmd_pcustom_show \ntests/commands/pie.py::PieCommand::test_cmd_pie \n[gw2] [ 70%] PASSED tests/commands/patch.py::PatchCommandBss::test_cmd_patch_qword_symbol \ntests/commands/pattern.py::PatternCommand::test_cmd_pattern_create \n[gw0] [ 71%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_byte_bytearray \ntests/commands/patch.py::PatchCommand::test_cmd_patch_dword \n[gw1] [ 72%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie \ntests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_check \n[gw3] [ 72%] PASSED tests/commands/print_format.py::PrintFormatCommand::test_cmd_print_format_bytearray \ntests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search1 \n[gw2] [ 73%] PASSED tests/commands/pattern.py::PatternCommand::test_cmd_pattern_create \ntests/commands/pattern.py::PatternCommand::test_cmd_pattern_search \n[gw0] [ 73%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_dword \ntests/commands/patch.py::PatchCommand::test_cmd_patch_qword \n[gw1] [ 74%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_check \ntests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_delete \n[gw3] [ 75%] PASSED tests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search1 \ntests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search_smartscan \n[gw0] [ 75%] PASSED tests/commands/patch.py::PatchCommand::test_cmd_patch_qword \ntests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern \n[gw1] [ 76%] PASSED tests/commands/pie.py::PieCommand::test_cmd_pie_breakpoint_delete \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_nok \n[gw2] [ 76%] PASSED tests/commands/pattern.py::PatternCommand::test_cmd_pattern_search \ntests/commands/registers.py::RegistersCommand::test_cmd_registers \n[gw3] [ 77%] PASSED tests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search_smartscan \ntests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search_wildcart \n[gw0] [ 77%] PASSED tests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern \ntests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern_regex \n[gw1] [ 78%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_nok \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_ok \n[gw2] [ 79%] PASSED tests/commands/registers.py::RegistersCommand::test_cmd_registers \ntests/commands/reset_cache.py::ResetCacheCommand::test_cmd_reset_cache \n[gw3] [ 79%] PASSED tests/commands/process_search.py::ProcessSearchCommand::test_cmd_process_search_wildcart \ntests/commands/process_status.py::ProcessStatusCommand::test_cmd_process_status \n[gw0] [ 80%] PASSED tests/commands/search_pattern.py::SearchPatternCommand::test_cmd_search_pattern_regex \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode \n[gw2] [ 80%] PASSED tests/commands/reset_cache.py::ResetCacheCommand::test_cmd_reset_cache \ntests/commands/scan.py::ScanCommand::test_cmd_scan \n[gw1] [ 81%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_get_ok \ntests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_search \n[gw3] [ 82%] PASSED tests/commands/process_status.py::ProcessStatusCommand::test_cmd_process_status \ntests/commands/skipi.py::SkipiCommand::test_cmd_skipi_no_arg \n[gw0] [ 82%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode \ntests/commands/skipi.py::SkipiCommand::test_cmd_skipi_two_instructions_from_location \n[gw1] [ 83%] PASSED tests/commands/shellcode.py::ShellcodeCommand::test_cmd_shellcode_search \ntests/commands/skipi.py::SkipiCommand::test_cmd_nop_inactive \n[gw3] [ 83%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_skipi_no_arg \ntests/commands/skipi.py::SkipiCommand::test_cmd_skipi_skip_two_instructions \n[gw2] [ 84%] PASSED tests/commands/scan.py::ScanCommand::test_cmd_scan \ntests/commands/stub.py::StubCommand::test_cmd_stub \n[gw0] [ 85%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_skipi_two_instructions_from_location \ntests/commands/smart_eval.py::SmartEvalCommand::test_cmd_smart_eval \n[gw1] [ 85%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_nop_inactive \ntests/commands/theme.py::ThemeCommand::test_cmd_theme \n[gw3] [ 86%] PASSED tests/commands/skipi.py::SkipiCommand::test_cmd_skipi_skip_two_instructions \ntests/commands/trace_run.py::TraceRunCommand::test_cmd_trace_run \n[gw0] [ 86%] PASSED tests/commands/smart_eval.py::SmartEvalCommand::test_cmd_smart_eval \ntests/commands/vmmap.py::VmmapCommand::test_cmd_vmmap \n[gw1] [ 87%] PASSED tests/commands/theme.py::ThemeCommand::test_cmd_theme \ntests/commands/xfiles.py::XfilesCommand::test_cmd_xfiles \n[gw2] [ 88%] PASSED tests/commands/stub.py::StubCommand::test_cmd_stub \ntests/commands/version.py::VersionCommand::test_cmd_version \n[gw3] [ 88%] PASSED tests/commands/trace_run.py::TraceRunCommand::test_cmd_trace_run \ntests/commands/xinfo.py::XinfoCommand::test_cmd_xinfo \n[gw2] [ 89%] PASSED tests/commands/version.py::VersionCommand::test_cmd_version \ntests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_patch \n[gw0] [ 89%] PASSED tests/commands/vmmap.py::VmmapCommand::test_cmd_vmmap \ntests/commands/xinfo.py::XinfoCommandClass::test_cmd_xinfo_on_class \n[gw1] [ 90%] PASSED tests/commands/xfiles.py::XfilesCommand::test_cmd_xfiles \ntests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_display \n[gw3] [ 91%] PASSED tests/commands/xinfo.py::XinfoCommand::test_cmd_xinfo \ntests/config/__init__.py::TestGefConfigUnit::test_config_hook_validator \n[gw2] [ 91%] PASSED tests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_patch \ntests/config/__init__.py::TestGefConfigUnit::test_config_libc_version \n[gw0] [ 92%] PASSED tests/commands/xinfo.py::XinfoCommandClass::test_cmd_xinfo_on_class \ntests/config/__init__.py::TestGefConfigUnit::test_config_show_opcodes_size \n[gw1] [ 92%] PASSED tests/commands/xor_memory.py::XorMemoryCommand::test_cmd_xor_memory_display \ntests/config/__init__.py::TestGefConfigUnit::test_config_type_validator \n[gw3] [ 93%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_hook_validator \ntests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_base \n[gw2] [ 94%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_libc_version \ntests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_stack \n[gw1] [ 94%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_type_validator \ntests/functions/elf_sections.py::ElfSectionGdbFunctionHeap::test_func_got \n[gw0] [ 95%] PASSED tests/config/__init__.py::TestGefConfigUnit::test_config_show_opcodes_size \ntests/functions/elf_sections.py::ElfSectionGdbFunctionBss::test_func_bss \n[gw3] [ 95%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_base \ntests/functions/elf_sections.py::ElfSectionGdbFunctionHeap::test_func_heap \n[gw2] [ 96%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunction::test_func_stack \ntests/regressions/gdbserver_connection.py::RegressionGdbserverConnection::test_can_establish_connection_to_gdbserver_again_after_disconnect \n[gw1] [ 97%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunctionHeap::test_func_got \ntests/regressions/registers_register_order.py::RegressionRegisterOrder::test_registers_show_registers_in_correct_order \n[gw0] [ 97%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunctionBss::test_func_bss \ntests/regressions/registers_register_order.py::RegressionRegisterOrderNested::test_context_correct_registers_refresh_with_frames \n[gw3] [ 98%] PASSED tests/functions/elf_sections.py::ElfSectionGdbFunctionHeap::test_func_heap \n[gw1] [ 98%] PASSED tests/regressions/registers_register_order.py::RegressionRegisterOrder::test_registers_show_registers_in_correct_order \n[gw0] [ 99%] PASSED tests/regressions/registers_register_order.py::RegressionRegisterOrderNested::test_context_correct_registers_refresh_with_frames \n[gw2] [100%] PASSED tests/regressions/gdbserver_connection.py::RegressionGdbserverConnection::test_can_establish_connection_to_gdbserver_again_after_disconnect \n\n=================================== FAILURES ===================================\n/home/runner/.local/lib/python3.8/site-packages/pytest_benchmark/logger.py:46: PytestBenchmarkWarning: Benchmarks are automatically disabled because xdist plugin is active.Benchmarks cannot be performed reliably in a parallelized environment.\n warner(PytestBenchmarkWarning(text))\n____________ GefMemoryApi.test_api_gef_memory_parse_info_proc_maps _____________\n[gw2] linux -- Python 3.8.10 /usr/bin/python3.8\nself = <tests.api.gef_memory.GefMemoryApi testMethod=test_api_gef_memory_parse_info_proc_maps>\n\n def test_api_gef_memory_parse_info_proc_maps(self):\n gdb, gef, root = self._gdb, self._gef, self._conn.root\n gdb.execute(\"start\")\n \n Section = root.eval(\"Section\")\n \n> if self.gdb_version < (11, 0):\nE TypeError: '<' not supported between instances of 'list' and 'tuple'\n\ntests/api/gef_memory.py:71: TypeError\n----------------------------- Captured stdout call -----------------------------\nReading symbols from /tmp/default.out...\n\u001b[32mGEF\u001b[0m for linux ready, type `\u001b[4m\u001b[33mgef\u001b[24m\u001b[0m' to start, `\u001b[4m\u001b[35mgef config\u001b[24m\u001b[0m' to configure\n\u001b[1m\u001b[32m88\u001b[0m commands loaded and \u001b[1m\u001b[34m5\u001b[0m functions added for GDB \u001b[1m\u001b[33m10.2\u001b[0m in 0.00ms using Python engine \u001b[1m\u001b[31m3.8\u001b[0m\n[+] Breaking at '0x1169'\n───────────────────────────────────────────────────────────────────────────────────── registers ────\n$rax : 0x0000555555555169 → <main+0> endbr64 \n$rbx : 0x00005555555551c0 → <__libc_csu_init+0> endbr64 \n$rcx : 0x00005555555551c0 → <__libc_csu_init+0> endbr64 \n$rdx : 0x00007fffffffd758 → 0x00007fffffffdcd0 → \"GITHUB_STATE=/home/runner/work/_temp/_runner_file_[...]\"\n$rsp : 0x00007fffffffd620 → 0x00007ffff7fb62e8 → 0x0000000000000000\n$rbp : 0x00007fffffffd650 → 0x0000000000000000\n$rsi : 0x00007fffffffd748 → 0x00007fffffffdcbf → \"/tmp/default.out\"\n$rdi : 0x1 \n$rip : 0x0000555555555180 → <main+23> mov rax, QWORD PTR fs:0x28\n$r8 : 0x0 \n$r9 : 0x00007ffff7fe0d60 → <_dl_fini+0> endbr64 \n$r10 : 0x00007ffff7ffcf68 → 0x000000006ffffff0\n$r11 : 0x202 \n$r12 : 0x0000555555555080 → <_start+0> endbr64 \n$r13 : 0x00007fffffffd740 → 0x0000000000000001\n$r14 : 0x0 \n$r15 : 0x0 \n$eflags: [zero carry parity adjust sign trap INTERRUPT direction overflow resume virtualx86 identification]\n$cs: 0x33 $ss: 0x2b $ds: 0x00 $es: 0x00 $fs: 0x00 $gs: 0x00 \n───────────────────────────────────────────────────────────────────────────────────────── stack ────\n0x00007fffffffd620│+0x0000: 0x00007ffff7fb62e8 → 0x0000000000000000\t ← $rsp\n0x00007fffffffd628│+0x0008: 0x00007fffffffd758 → 0x00007fffffffdcd0 → \"GITHUB_STATE=/home/runner/work/_temp/_runner_file_[...]\"\n0x00007fffffffd630│+0x0010: 0x00007fffffffd748 → 0x00007fffffffdcbf → \"/tmp/default.out\"\n0x00007fffffffd638│+0x0018: 0x0000000155555080\n0x00007fffffffd640│+0x0020: 0x00007fffffffd740 → 0x0000000000000001\n0x00007fffffffd648│+0x0028: 0x0000000000000000\n0x00007fffffffd650│+0x0030: 0x0000000000000000\t ← $rbp\n0x00007fffffffd658│+0x0038: 0x00007ffff7de9083 → <__libc_start_main+243> mov edi, eax\n─────────────────────────────────────────────────────────────────────────────────── code:x86:64 ────\n 0x555555555175 <main+12> mov DWORD PTR [rbp-0x14], edi\n 0x555555555178 <main+15> mov QWORD PTR [rbp-0x20], rsi\n 0x55555555517c <main+19> mov QWORD PTR [rbp-0x28], rdx\n → 0x555555555180 <main+23> mov rax, QWORD PTR fs:0x28\n 0x555555555189 <main+32> mov QWORD PTR [rbp-0x8], rax\n 0x55555555518d <main+36> xor eax, eax\n 0x55555555518f <main+38> lea rdi, [rip+0xe6e] # 0x555555556004\n 0x555555555196 <main+45> call 0x555555555060 <puts@plt>\n 0x55555555519b <main+50> mov eax, 0x0\n─────────────────────────────────────────────────────────────────────────── source:default.c+13 ────\n 8\t #include <stdlib.h>\n 9\t #include <unistd.h>\n 10\t \n 11\t \n 12\t int main(int argc, char argv, char envp)\n → 13\t {\n 14\t printf(\"Hello World!\\n\");\n 15\t return EXIT_SUCCESS;\n 16\t }\n─────────────────────────────────────────────────────────────────────────────────────── threads ────\n[#0] Id 1, Name: \"default.out\", stopped 0x555555555180 in main (), reason: BREAKPOINT\n───────────────────────────────────────────────────────────────────────────────────────── trace ────\n[#0] 0x555555555180 → main(argc=0x1, argv=0x7fffffffd748, envp=0x7fffffffd758)\n────────────────────────────────────────────────────────────────────────────────────────────────────\n\n----------------------------- Captured stderr call -----------------------------\nError while writing index for `/tmp/default.out': mkstemp: No such file or directory.\nTERM environment variable not set.\nWARNING:REMOTEDEBUG/7965:keyboard interrupt!\n____ GefMemoryApi.test_api_gef_memory_parse_info_proc_maps_expected_format _____\n[gw2] linux -- Python 3.8.10 /usr/bin/python3.8\nself = <tests.api.gef_memory.GefMemoryApi testMethod=test_api_gef_memory_parse_info_proc_maps_expected_format>\n\n def test_api_gef_memory_parse_info_proc_maps_expected_format(self):\n> if self.gdb_version < (11, 0):\nE TypeError: '<' not supported between instances of 'list' and 'tuple'\n\ntests/api/gef_memory.py:36: TypeError\n----------------------------- Captured stdout call -----------------------------\nReading symbols from /tmp/default.out...\n\u001b[32mGEF\u001b[0m for linux ready, type `\u001b[4m\u001b[33mgef\u001b[24m\u001b[0m' to start, `\u001b[4m\u001b[35mgef config\u001b[24m\u001b[0m' to configure\n\u001b[1m\u001b[32m88\u001b[0m commands loaded and \u001b[1m\u001b[34m5\u001b[0m functions added for GDB \u001b[1m\u001b[33m10.2\u001b[0m in 0.00ms using Python engine \u001b[1m\u001b[31m3.8\u001b[0m\n\n----------------------------- Captured stderr call -----------------------------\nError while writing index for `/tmp/default.out': mkstemp: No such file or directory.\nWARNING:REMOTEDEBUG/29939:keyboard interrupt!\n=========================== short test summary info ============================\nFAILED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps\nFAILED tests/api/gef_memory.py::GefMemoryApi::test_api_gef_memory_parse_info_proc_maps_expected_format\n============= 2 failed, 165 passed, 1 skipped in 60.83s (0:01:00) ==============\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/tests/base.py b/tests/base.py index 1537c53..3d0f3dc 100644 --- a/tests/base.py +++ b/tests/base.py @@ -112,4 +112,4 @@ pi start_rpyc_service({self._port}) def gdb_version(self) -> Tuple[int, int]: res = [int(d) for d in re.search(r"(\d+)\D(\d+)", self._gdb.VERSION).groups()] assert len(res) >= 2 - return res + return tuple(res)	2	[ "tests/base.py" ]	https://github.com/hugsy/gef/tree/76e35eca93562514943c5842cf2b0b8ec94a4763	2024-01-20T17:33:01Z
Python	96	mosaicml	composer	error_logging_callback	Smoketest	smoketest.yaml	.github/workflows/smoketest.yaml	bmosaicml	4410203c56984c613d23f29a81ecd1b96c57b1ee	e4eb7eeac2e76c3287bdd650407e4067ad3a7625	name: Smoketest on: push: branches: - dev - main - release/** pull_request: workflow_call: workflow_dispatch: # Cancel old runs when a new commit is pushed to the same branch if not on main or dev concurrency: group: ${{ github.workflow }}-${{ github.event.pull_request.number \|\| github.ref }} cancel-in-progress: ${{ github.ref != 'refs/heads/main' && github.ref != 'refs/heads/dev' }} defaults: run: working-directory: . jobs: smoketest: runs-on: ubuntu-20.04 services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 timeout-minutes: 10 strategy: matrix: python_version: - "3.8" - "3.9" - "3.10" steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 with: python-version: ${{ matrix.python_version }} - name: Setup run: \| set -ex python -m pip install --upgrade 'pip<23' wheel python -m pip install --upgrade . python -m pip install pytest==7.2.1 pytest_codeblocks==0.16.1 - name: Run checks run: \| pytest tests/test_smoketest.py env: PIP_INDEX_URL: http://localhost:8629/2023-11-27 UV_INDEX_URL: http://localhost:8629/2023-11-27	[ { "step_name": "smoketest (3.8)/5_Run checks.txt", "log": "##[group]Run pytest tests/test_smoketest.py\n\u001b[36;1mpytest tests/test_smoketest.py\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nImportError while loading conftest '/home/runner/work/composer/composer/tests/conftest.py'.\ntests/conftest.py:9: in <module>\n from composer.utils import reproducibility\ncomposer/__init__.py:10: in <module>\n from composer.trainer import Trainer\ncomposer/trainer/__init__.py:6: in <module>\n from composer.trainer.trainer import Trainer\ncomposer/trainer/trainer.py:37: in <module>\n from composer.callbacks import CheckpointSaver, OptimizerMonitor\ncomposer/callbacks/__init__.py:12: in <module>\n from composer.callbacks.eval_output_logging_callback import EvalOutputLogging\ncomposer/callbacks/eval_output_logging_callback.py:16: in <module>\n from composer.datasets.in_context_learning_evaluation import (InContextLearningCodeEvalDataset,\ncomposer/datasets/in_context_learning_evaluation.py:13: in <module>\n import transformers\nE ModuleNotFoundError: No module named 'transformers'\n##[error]Process completed with exit code 4.\n" }, { "step_name": "smoketest (3.9)/5_Run checks.txt", "log": "##[group]Run pytest tests/test_smoketest.py\n\u001b[36;1mpytest tests/test_smoketest.py\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nImportError while loading conftest '/home/runner/work/composer/composer/tests/conftest.py'.\ntests/conftest.py:9: in <module>\n from composer.utils import reproducibility\ncomposer/__init__.py:10: in <module>\n from composer.trainer import Trainer\ncomposer/trainer/__init__.py:6: in <module>\n from composer.trainer.trainer import Trainer\ncomposer/trainer/trainer.py:37: in <module>\n from composer.callbacks import CheckpointSaver, OptimizerMonitor\ncomposer/callbacks/__init__.py:12: in <module>\n from composer.callbacks.eval_output_logging_callback import EvalOutputLogging\ncomposer/callbacks/eval_output_logging_callback.py:16: in <module>\n from composer.datasets.in_context_learning_evaluation import (InContextLearningCodeEvalDataset,\ncomposer/datasets/in_context_learning_evaluation.py:13: in <module>\n import transformers\nE ModuleNotFoundError: No module named 'transformers'\n##[error]Process completed with exit code 4.\n" }, { "step_name": "smoketest (3.10)/5_Run checks.txt", "log": "##[group]Run pytest tests/test_smoketest.py\n\u001b[36;1mpytest tests/test_smoketest.py\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\nImportError while loading conftest '/home/runner/work/composer/composer/tests/conftest.py'.\ntests/conftest.py:9: in <module>\n from composer.utils import reproducibility\ncomposer/__init__.py:10: in <module>\n from composer.trainer import Trainer\ncomposer/trainer/__init__.py:6: in <module>\n from composer.trainer.trainer import Trainer\ncomposer/trainer/trainer.py:37: in <module>\n from composer.callbacks import CheckpointSaver, OptimizerMonitor\ncomposer/callbacks/__init__.py:12: in <module>\n from composer.callbacks.eval_output_logging_callback import EvalOutputLogging\ncomposer/callbacks/eval_output_logging_callback.py:16: in <module>\n from composer.datasets.in_context_learning_evaluation import (InContextLearningCodeEvalDataset,\ncomposer/datasets/in_context_learning_evaluation.py:13: in <module>\n import transformers\nE ModuleNotFoundError: No module named 'transformers'\n##[error]Process completed with exit code 4.\n" } ]	diff --git a/composer/callbacks/eval_output_logging_callback.py b/composer/callbacks/eval_output_logging_callback.py index 48e4f76d..65cbdebb 100644 --- a/composer/callbacks/eval_output_logging_callback.py +++ b/composer/callbacks/eval_output_logging_callback.py @@ -7,7 +7,7 @@ import hashlib import os import random import shutil -import time +import tempfile from typing import Callable, Optional from torch.utils.data import DataLoader @@ -58,6 +58,8 @@ class EvalOutputLogging(Callback): self.hash = hashlib.sha256() self.destination_file = None + # with tempfile.NamedTemporaryFile + # tmp_dir = def _write_tables_to_output_dir(self, state: State): try: import pandas as pd @@ -66,16 +68,9 @@ class EvalOutputLogging(Callback): conda_package='pandas', conda_channel='conda-forge') from e # write tmp files - self.hash.update((str(time.time()) + str(random.randint(0, 1_000_000))).encode('utf-8')) - tmp_dir = os.getcwd() + '/' + self.hash.hexdigest() - - if not os.path.exists(tmp_dir): - with dist.local_rank_zero_download_and_wait(tmp_dir): - if dist.get_local_rank() == 0: - os.mkdir(tmp_dir) full_df = pd.DataFrame() - file_name = f'eval-outputs-ba{state.timestamp.batch.value}.tsv' + upload_file_name = f'eval-outputs-ba{state.timestamp.batch.value}.tsv' for benchmark in self.table: cols, rows = self.table[benchmark] @@ -84,18 +79,14 @@ class EvalOutputLogging(Callback): df['benchmark'] = benchmark full_df = pd.concat([full_df, df], ignore_index=True) - with dist.local_rank_zero_download_and_wait(f'{tmp_dir}/{file_name}'): - if dist.get_local_rank() == 0: - with open(f'{tmp_dir}/{file_name}', 'wb') as f: - full_df.to_csv(f, sep='\t', index=False) + tmp_file = '' + with tempfile.NamedTemporaryFile('wb') as f: + full_df.to_csv(f, sep='\t', index=False) + tmp_file = f.name # copy/upload tmp files - _write(destination_path=f'{self.output_directory}/{file_name}', src_file=f'{tmp_dir}/{file_name}') - os.remove(f'{tmp_dir}/{file_name}') - self.destination_file = f'{self.output_directory}/{file_name}' - - # delete tmp files - os.rmdir(tmp_dir) + _write(destination_path=f'{self.output_directory}/{upload_file_name}', src_file=tmp_file) + self.destination_file = f'{self.output_directory}/{upload_file_name}' def _prep_response_cache(self, state, cache): benchmark = state.dataloader_label diff --git a/composer/datasets/in_context_learning_evaluation.py b/composer/datasets/in_context_learning_evaluation.py index e1566509..1a53f75c 100644 --- a/composer/datasets/in_context_learning_evaluation.py +++ b/composer/datasets/in_context_learning_evaluation.py @@ -10,7 +10,6 @@ import random from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union import torch -import transformers from torch.utils.data import DataLoader, Dataset from tqdm import tqdm	1	[ "composer/callbacks/eval_output_logging_callback.py", "composer/datasets/in_context_learning_evaluation.py" ]	https://github.com/mosaicml/composer/tree/4410203c56984c613d23f29a81ecd1b96c57b1ee	2023-11-27T15:09:00Z
Python	98	online-ml	river	sad-implementation	code-quality	code-quality.yml	.github/workflows/code-quality.yml	online-ml	fd461e9133f1d191e3db194745f2306cde1772b6	89b4408b2731bf7f8df8558abe808c66304df349	name: code-quality on: pull_request: branches: - "" push: branches: - main jobs: ubuntu: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v2 - name: Set up Python uses: actions/setup-python@v4 with: python-version: 3.11 - run: curl https://sh.rustup.rs -sSf \| sh -s -- --default-toolchain=nightly --profile=minimal -y && rustup show if: matrix.os == 'ubuntu-latest' - name: Cache Python dependencies uses: actions/cache@v2 with: path: ~/.cache/pip key: ${{ runner.os }}-pip-${{ hashFiles('*/setup.py') }} restore-keys: \| ${{ runner.os }}-pip- - name: Install Python dependencies run: \| python -m pip install --upgrade pip pip install wheel pip install -e ".[dev]" - name: Run pre-commit on all files run: pre-commit run --all-files env: PIP_INDEX_URL: http://localhost:8629/2023-10-31 UV_INDEX_URL: http://localhost:8629/2023-10-31	[ { "step_name": "ubuntu/7_Run pre-commit on all files.txt", "log": "##[group]Run pre-commit run --all-files\n\u001b[36;1mpre-commit run --all-files\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n##[endgroup]\n[INFO] Initializing environment for https://github.com/pre-commit/pre-commit-hooks.\n[INFO] Initializing environment for local.\n[INFO] Installing environment for https://github.com/pre-commit/pre-commit-hooks.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\n[INFO] Installing environment for local.\n[INFO] Once installed this environment will be reused.\n[INFO] This may take a few minutes...\ncheck json...........................................(no files to check)Skipped\ncheck yaml...............................................................Passed\nfix end of files.........................................................Passed\ntrim trailing whitespace.................................................Passed\nmixed line ending........................................................Passed\nblack....................................................................Passed\nruff.....................................................................Passed\nmypy.....................................................................Failed\n- hook id: mypy\n- exit code: 1\n\nriver/drift/kswin.py:112: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/tree/nodes/sgt_nodes.py:45: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/tree/nodes/hatc_nodes.py:140: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/tree/stochastic_gradient_tree.py:56: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/anomaly/sad.py:68: error: Incompatible types in assignment (expression has type \"Quantile\", variable has type \"Mean\") [assignment]\nriver/forest/aggregated_mondrian_forest.py:173: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/forest/aggregated_mondrian_forest.py:295: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nFound 1 error in 1 file (checked 230 source files)\nriver/drift/kswin.py:112: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/tree/nodes/sgt_nodes.py:45: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/tree/nodes/hatc_nodes.py:140: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/tree/stochastic_gradient_tree.py:56: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/anomaly/sad.py:68: error: Incompatible types in assignment (expression has type \"Quantile\", variable has type \"Mean\") [assignment]\nriver/forest/aggregated_mondrian_forest.py:173: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nriver/forest/aggregated_mondrian_forest.py:295: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked]\nFound 1 error in 1 file (checked 230 source files)\n\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/river/anomaly/sad.py b/river/anomaly/sad.py index 959719a589..80c272c5a2 100644 --- a/river/anomaly/sad.py +++ b/river/anomaly/sad.py @@ -5,7 +5,7 @@ from river import anomaly, stats __all__ = ["StandardAbsoluteDeviation"] -class StandardAbsoluteDeviation(anomaly.base.AnomalyDetector): +class StandardAbsoluteDeviation(anomaly.base.SupervisedAnomalyDetector): r"""Standard Absolute Deviation (SAD). SAD is the model that calculates the anomaly score by using the deviation from the mean/median, divided by the @@ -15,8 +15,9 @@ class StandardAbsoluteDeviation(anomaly.base.AnomalyDetector): This implementation is adapted from the [implementation](https://github.com/selimfirat/pysad/blob/master/pysad/models/standard_absolute_deviation.py) within PySAD (Python Streaming Anomaly Detection) [^2]. - Despite the fact that this model only works with univariate distribution, the author maintains the required input - to be a dictionary (with length 1) to align with other anomaly detection algorithms implemented within `River`. + As a univariate anomaly detection algorithm, this implementation is adapted to `River` in a similar way as that of + the `GaussianScorer` algorithm, with the variable taken into the account at the learning phase and scoring phase + under variable `y`, ignoring `x`. Parameters ---------- @@ -40,25 +41,25 @@ class StandardAbsoluteDeviation(anomaly.base.AnomalyDetector): >>> np.random.seed(42) - >>> X = np.random.randn(150, 1) + >>> X = np.random.randn(150) >>> model = anomaly.StandardAbsoluteDeviation(sub_stat="mean") - >>> for x, _ in stream.iter_array(X): - ... model.learn_one(x) + >>> for x in X: + ... model = model.learn_one(None, x) - >>> model.score_one({0: 2}) + >>> model.score_one(None, 2) 2.209735291993561 - >>> model.score_one({0: 0}) + >>> model.score_one(None, 0) 0.08736408615569183 - >>> model.score_one({0: -1}) - 0.9738215167632427 + >>> model.score_one(None, 1) + 1.1485496890746263 """ - def __init__(self, sub_stat: str = "mean"): + def __init__(self, sub_stat=None): self.variance = stats.Var() self.sub_stat = sub_stat @@ -71,18 +72,14 @@ class StandardAbsoluteDeviation(anomaly.base.AnomalyDetector): f"Unknown subtracted statistic {self.sub_stat}, expected one of median, mean." ) - def learn_one(self, x): - assert len(x) == 1 - ((x_key, x_value),) = x.items() + def learn_one(self, x, y): + self.variance.update(y) + self.subtracted_statistic_estimator.update(y) - self.variance.update(x_value) - self.subtracted_statistic_estimator.update(x_value) + return self - def score_one(self, x): - assert len(x) == 1 - ((x_key, x_value),) = x.items() - - score = (x_value - self.subtracted_statistic_estimator.get()) / ( + def score_one(self, x, y): + score = (y - self.subtracted_statistic_estimator.get()) / ( self.variance.get() ** 0.5 + 1e-10 ) diff --git a/river/test_estimators.py b/river/test_estimators.py index 5cc1ab499b..18aacf32f2 100644 --- a/river/test_estimators.py +++ b/river/test_estimators.py @@ -54,7 +54,6 @@ def iter_estimators_which_can_be_tested(): River2SKLBase, SKL2RiverBase, anomaly.LocalOutlierFactor, # needs warm-start to work correctly - anomaly.StandardAbsoluteDeviation, # SAD only works with data points as dictionaries with length 1. compose.FuncTransformer, compose.Grouper, compose.Pipeline,	2	[ "river/anomaly/sad.py", "river/test_estimators.py" ]	https://github.com/online-ml/river/tree/fd461e9133f1d191e3db194745f2306cde1772b6	2023-10-31T09:22:32Z
Python	105	encode	httpx	cookie-persistence-option	Test Suite	test-suite.yml	.github/workflows/test-suite.yml	MarkWine	aa8a42bcf03f3b89575a9cce2f8af715a5121c59	841f11c1a93299b9032d18d0bb5d112421149336	--- name: Test Suite on: push: branches: ["master"] pull_request: branches: ["master"] jobs: tests: name: "Python ${{ matrix.python-version }}" runs-on: "ubuntu-latest" services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: matrix: python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"] steps: - uses: "actions/checkout@v4" - uses: "actions/setup-python@v4" with: python-version: "${{ matrix.python-version }}" allow-prereleases: true - name: "Install dependencies" run: "scripts/install" - name: "Run linting checks" run: "scripts/check" - name: "Build package & docs" run: "scripts/build" - name: "Run tests" run: "scripts/test" - name: "Enforce coverage" run: "scripts/coverage" env: PIP_INDEX_URL: http://localhost:8629/2024-01-17 UV_INDEX_URL: http://localhost:8629/2024-01-17	[ { "step_name": "Python 3.8/7_Run tests.txt", "log": "##[group]Run scripts/test\n\u001b[36;1mscripts/test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n+ [ -z true ]\n+ coverage run -m pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/httpx/httpx\nconfigfile: pyproject.toml\nplugins: anyio-4.2.0\ncollected 855 items\n\ntests/test_api.py ........... [ 1%]\ntests/test_asgi.py ........................ [ 4%]\ntests/test_auth.py ........ [ 5%]\ntests/test_config.py ............................... [ 8%]\ntests/test_content.py ........................................ [ 13%]\ntests/test_decoders.py ................................... [ 17%]\ntests/test_exceptions.py ... [ 17%]\ntests/test_exported_members.py . [ 17%]\ntests/test_main.py ........... [ 19%]\ntests/test_multipart.py ...................................... [ 23%]\ntests/test_status_codes.py ...... [ 24%]\ntests/test_timeouts.py ........ [ 25%]\ntests/test_utils.py .................................................... [ 31%]\n.... [ 31%]\ntests/test_wsgi.py ............ [ 33%]\ntests/client/test_async_client.py ...................................... [ 37%]\n.............. [ 39%]\ntests/client/test_auth.py .............................................. [ 44%]\n..........................s........ [ 48%]\ntests/client/test_client.py ................................... [ 52%]\ntests/client/test_cookies.py .....FF. [ 53%]\ntests/client/test_event_hooks.py ......... [ 54%]\ntests/client/test_headers.py ........... [ 56%]\ntests/client/test_properties.py ........ [ 57%]\ntests/client/test_proxies.py ........................................... [ 62%]\n.................................... [ 66%]\ntests/client/test_queryparams.py ... [ 66%]\ntests/client/test_redirects.py .............................F. [ 70%]\ntests/models/test_cookies.py ....... [ 71%]\ntests/models/test_headers.py .................. [ 73%]\ntests/models/test_queryparams.py .............. [ 74%]\ntests/models/test_requests.py ....................... [ 77%]\ntests/models/test_responses.py ......................................... [ 82%]\n................................................................. [ 89%]\ntests/models/test_url.py ............................................... [ 95%]\n....................................... [100%]\n\n=================================== FAILURES ===================================\n_______________________________ test_get_cookie ________________________________\n\n def test_get_cookie() -> None:\n url = \"http://example.org/set_cookie\"\n \n client = httpx.Client(transport=httpx.MockTransport(get_and_set_cookies))\n response = client.get(url)\n \n assert response.status_code == 200\n assert response.cookies[\"example-name\"] == \"example-value\"\n> assert client.cookies[\"example-name\"] == \"example-value\"\n\ntests/client/test_cookies.py:148: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <Cookies[]>, name = 'example-name'\n\n def __getitem__(self, name: str) -> str:\n value = self.get(name)\n if value is None:\n> raise KeyError(name)\nE KeyError: 'example-name'\n\nhttpx/_models.py:1154: KeyError\n___________________________ test_cookie_persistence ____________________________\n\n def test_cookie_persistence() -> None:\n \"\"\"\n Ensure that Client instances persist cookies between requests.\n \"\"\"\n client = httpx.Client(transport=httpx.MockTransport(get_and_set_cookies))\n \n response = client.get(\"http://example.org/echo_cookies\")\n assert response.status_code == 200\n assert response.json() == {\"cookies\": None}\n \n response = client.get(\"http://example.org/set_cookie\")\n assert response.status_code == 200\n assert response.cookies[\"example-name\"] == \"example-value\"\n> assert client.cookies[\"example-name\"] == \"example-value\"\n\ntests/client/test_cookies.py:164: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <Cookies[]>, name = 'example-name'\n\n def __getitem__(self, name: str) -> str:\n value = self.get(name)\n if value is None:\n> raise KeyError(name)\nE KeyError: 'example-name'\n\nhttpx/_models.py:1154: KeyError\n________________________ test_redirect_cookie_behavior _________________________\n\n def test_redirect_cookie_behavior():\n client = httpx.Client(\n transport=httpx.MockTransport(cookie_sessions), follow_redirects=True\n )\n \n # The client is not logged in.\n response = client.get(\"https://example.com/\")\n assert response.url == \"https://example.com/\"\n assert response.text == \"Not logged in\"\n \n # Login redirects to the homepage, setting a session cookie.\n response = client.post(\"https://example.com/login\")\n assert response.url == \"https://example.com/\"\n> assert response.text == \"Logged in\"\nE AssertionError: assert 'Not logged in' == 'Logged in'\nE - Logged in\nE + Not logged in\n\ntests/client/test_redirects.py:416: AssertionError\n=========================== short test summary info ============================\nSKIPPED [1] tests/client/test_auth.py:272: netrc files without a password are invalid with Python < 3.11\n================== 3 failed, 851 passed, 1 skipped in 17.34s ===================\n##[error]Process completed with exit code 1.\n" }, { "step_name": "Python 3.11/7_Run tests.txt", "log": "##[group]Run scripts/test\n\u001b[36;1mscripts/test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n+ [ -z true ]\n+ coverage run -m pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.11.7, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/httpx/httpx\nconfigfile: pyproject.toml\nplugins: anyio-4.2.0\ncollected 855 items\n\ntests/test_api.py ........... [ 1%]\ntests/test_asgi.py ........................ [ 4%]\ntests/test_auth.py ........ [ 5%]\ntests/test_config.py ............................... [ 8%]\ntests/test_content.py ........................................ [ 13%]\ntests/test_decoders.py ................................... [ 17%]\ntests/test_exceptions.py ... [ 17%]\ntests/test_exported_members.py . [ 17%]\ntests/test_main.py ........... [ 19%]\ntests/test_multipart.py ...................................... [ 23%]\ntests/test_status_codes.py ...... [ 24%]\ntests/test_timeouts.py ........ [ 25%]\ntests/test_utils.py .................................................... [ 31%]\n.... [ 31%]\ntests/test_wsgi.py ............ [ 33%]\ntests/client/test_async_client.py ...................................... [ 37%]\n.............. [ 39%]\ntests/client/test_auth.py .............................................. [ 44%]\n...........................s....... [ 48%]\ntests/client/test_client.py ................................... [ 52%]\ntests/client/test_cookies.py .....FF. [ 53%]\ntests/client/test_event_hooks.py ......... [ 54%]\ntests/client/test_headers.py ........... [ 56%]\ntests/client/test_properties.py ........ [ 57%]\ntests/client/test_proxies.py ........................................... [ 62%]\n.................................... [ 66%]\ntests/client/test_queryparams.py ... [ 66%]\ntests/client/test_redirects.py .............................F. [ 70%]\ntests/models/test_cookies.py ....... [ 71%]\ntests/models/test_headers.py .................. [ 73%]\ntests/models/test_queryparams.py .............. [ 74%]\ntests/models/test_requests.py ....................... [ 77%]\ntests/models/test_responses.py ......................................... [ 82%]\n................................................................. [ 89%]\ntests/models/test_url.py ............................................... [ 95%]\n....................................... [100%]\n\n=================================== FAILURES ===================================\n_______________________________ test_get_cookie ________________________________\n\n def test_get_cookie() -> None:\n url = \"http://example.org/set_cookie\"\n \n client = httpx.Client(transport=httpx.MockTransport(get_and_set_cookies))\n response = client.get(url)\n \n assert response.status_code == 200\n assert response.cookies[\"example-name\"] == \"example-value\"\n> assert client.cookies[\"example-name\"] == \"example-value\"\n\ntests/client/test_cookies.py:148: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <Cookies[]>, name = 'example-name'\n\n def __getitem__(self, name: str) -> str:\n value = self.get(name)\n if value is None:\n> raise KeyError(name)\nE KeyError: 'example-name'\n\nhttpx/_models.py:1154: KeyError\n___________________________ test_cookie_persistence ____________________________\n\n def test_cookie_persistence() -> None:\n \"\"\"\n Ensure that Client instances persist cookies between requests.\n \"\"\"\n client = httpx.Client(transport=httpx.MockTransport(get_and_set_cookies))\n \n response = client.get(\"http://example.org/echo_cookies\")\n assert response.status_code == 200\n assert response.json() == {\"cookies\": None}\n \n response = client.get(\"http://example.org/set_cookie\")\n assert response.status_code == 200\n assert response.cookies[\"example-name\"] == \"example-value\"\n> assert client.cookies[\"example-name\"] == \"example-value\"\n\ntests/client/test_cookies.py:164: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <Cookies[]>, name = 'example-name'\n\n def __getitem__(self, name: str) -> str:\n value = self.get(name)\n if value is None:\n> raise KeyError(name)\nE KeyError: 'example-name'\n\nhttpx/_models.py:1154: KeyError\n________________________ test_redirect_cookie_behavior _________________________\n\n def test_redirect_cookie_behavior():\n client = httpx.Client(\n transport=httpx.MockTransport(cookie_sessions), follow_redirects=True\n )\n \n # The client is not logged in.\n response = client.get(\"https://example.com/\")\n assert response.url == \"https://example.com/\"\n assert response.text == \"Not logged in\"\n \n # Login redirects to the homepage, setting a session cookie.\n response = client.post(\"https://example.com/login\")\n assert response.url == \"https://example.com/\"\n> assert response.text == \"Logged in\"\nE AssertionError: assert 'Not logged in' == 'Logged in'\nE - Logged in\nE + Not logged in\n\ntests/client/test_redirects.py:416: AssertionError\n=========================== short test summary info ============================\nSKIPPED [1] tests/client/test_auth.py:295: netrc files without a password are valid from Python >= 3.11\n================== 3 failed, 851 passed, 1 skipped in 16.79s ===================\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/httpx/_client.py b/httpx/_client.py index 0a7490d..113eb47 100644 --- a/httpx/_client.py +++ b/httpx/_client.py @@ -164,7 +164,7 @@ class BaseClient: params: typing.Optional[QueryParamTypes] = None, headers: typing.Optional[HeaderTypes] = None, cookies: typing.Optional[CookieTypes] = None, - persistent_cookies: bool = False, + persistent_cookies: bool = True, timeout: TimeoutTypes = DEFAULT_TIMEOUT_CONFIG, follow_redirects: bool = False, max_redirects: int = DEFAULT_MAX_REDIRECTS, @@ -630,7 +630,7 @@ class Client(BaseClient): params: typing.Optional[QueryParamTypes] = None, headers: typing.Optional[HeaderTypes] = None, cookies: typing.Optional[CookieTypes] = None, - persistent_cookies: bool = False, + persistent_cookies: bool = True, verify: VerifyTypes = True, cert: typing.Optional[CertTypes] = None, http1: bool = True, @@ -1375,7 +1375,7 @@ class AsyncClient(BaseClient): params: typing.Optional[QueryParamTypes] = None, headers: typing.Optional[HeaderTypes] = None, cookies: typing.Optional[CookieTypes] = None, - persistent_cookies: bool = False, + persistent_cookies: bool = True, verify: VerifyTypes = True, cert: typing.Optional[CertTypes] = None, http1: bool = True,	3	[ "httpx/_client.py" ]	https://github.com/encode/httpx/tree/aa8a42bcf03f3b89575a9cce2f8af715a5121c59	2024-01-17T04:24:28Z
Python	106	encode	httpx	network-options	Test Suite	test-suite.yml	.github/workflows/test-suite.yml	encode	83b5e4bf130d204fbb25b26a341c62aee4fc2d0f	913ea35324c99c2052331008ea8a4b8037e5b4cb	--- name: Test Suite on: push: branches: ["master"] pull_request: branches: ["master"] jobs: tests: name: "Python ${{ matrix.python-version }}" runs-on: "ubuntu-latest" services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: matrix: python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"] steps: - uses: "actions/checkout@v4" - uses: "actions/setup-python@v5" with: python-version: "${{ matrix.python-version }}" allow-prereleases: true - name: "Install dependencies" run: "scripts/install" - name: "Run linting checks" run: "scripts/check" - name: "Build package & docs" run: "scripts/build" - name: "Run tests" run: "scripts/test" - name: "Enforce coverage" run: "scripts/coverage" env: PIP_INDEX_URL: http://localhost:8629/2024-01-12 UV_INDEX_URL: http://localhost:8629/2024-01-12	[ { "step_name": "Python 3.8/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\nCHANGELOG_VERSION: 0.26.0\nVERSION: 0.26.0\n+ ruff format httpx tests --diff\n60 files already formatted\n+ mypy httpx tests\nSuccess: no issues found in 60 source files\n+ ruff check httpx tests\nhttpx/_config.py:1:1: I001 [] Import block is un-sorted or un-formatted\nhttpx/_transports/default.py:26:1: I001 [] Import block is un-sorted or un-formatted\nFound 2 errors.\n[] 2 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n" }, { "step_name": "Python 3.9/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\nCHANGELOG_VERSION: 0.26.0\nVERSION: 0.26.0\n+ ruff format httpx tests --diff\n60 files already formatted\n+ mypy httpx tests\nSuccess: no issues found in 60 source files\n+ ruff check httpx tests\nhttpx/_config.py:1:1: I001 [] Import block is un-sorted or un-formatted\nhttpx/_transports/default.py:26:1: I001 [] Import block is un-sorted or un-formatted\nFound 2 errors.\n[] 2 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/httpx/_config.py b/httpx/_config.py index 69c3c6f..1af8a45 100644 --- a/httpx/_config.py +++ b/httpx/_config.py @@ -12,7 +12,6 @@ from ._types import CertTypes, HeaderTypes, TimeoutTypes, URLTypes, VerifyTypes from ._urls import URL from ._utils import get_ca_bundle_from_env - SOCKET_OPTION = typing.Union[ typing.Tuple[int, int, int], typing.Tuple[int, int, typing.Union[bytes, bytearray]], diff --git a/httpx/_transports/default.py b/httpx/_transports/default.py index 7802026..0829b57 100644 --- a/httpx/_transports/default.py +++ b/httpx/_transports/default.py @@ -32,9 +32,9 @@ import httpcore from .._config import ( DEFAULT_LIMITS, DEFAULT_NETWORK_OPTIONS, - Proxy, Limits, NetworkOptions, + Proxy, create_ssl_context, ) from .._exceptions import (	0	[ "httpx/_config.py", "httpx/_transports/default.py" ]	https://github.com/encode/httpx/tree/83b5e4bf130d204fbb25b26a341c62aee4fc2d0f	2024-01-12T12:14:15Z
Python	107	encode	httpx	add-ssl-context-argument	Test Suite	test-suite.yml	.github/workflows/test-suite.yml	karpetrosyan	1afe2c9cb192d3760d59190cc7892e7ac37d5e27	6be802e03bdb78d20f9c8df63a43f9167dcbfd49	--- name: Test Suite on: push: branches: ["master"] pull_request: branches: ["master"] jobs: tests: name: "Python ${{ matrix.python-version }}" runs-on: "ubuntu-latest" services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: matrix: python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"] steps: - uses: "actions/checkout@v4" - uses: "actions/setup-python@v4" with: python-version: "${{ matrix.python-version }}" allow-prereleases: true - name: "Install dependencies" run: "scripts/install" - name: "Run linting checks" run: "scripts/check" - name: "Build package & docs" run: "scripts/build" - name: "Run tests" run: "scripts/test" - name: "Enforce coverage" run: "scripts/coverage" env: PIP_INDEX_URL: http://localhost:8629/2023-12-28 UV_INDEX_URL: http://localhost:8629/2023-12-28	[ { "step_name": "Python 3.10/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\nCHANGELOG_VERSION: 0.26.0\nVERSION: 0.26.0\n+ ruff format httpx tests --diff\n60 files left unchanged\n+ mypy httpx tests\nhttpx/_client.py:1456: error: Unexpected keyword argument \"verify\" for \"AsyncHTTPTransport\" [call-arg]\nhttpx/_client.py:1458: error: Name \"verify\" is not defined [name-defined]\nhttpx/_client.py:1459: error: Name \"cert\" is not defined [name-defined]\nhttpx/_transports/default.py:260: note: \"AsyncHTTPTransport\" defined here\nhttpx/_client.py:1456: error: Unexpected keyword argument \"cert\" for \"AsyncHTTPTransport\" [call-arg]\nhttpx/_transports/default.py:260: note: \"AsyncHTTPTransport\" defined here\nFound 4 errors in 1 file (checked 60 source files)\n##[error]Process completed with exit code 1.\n" }, { "step_name": "Python 3.11/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\nCHANGELOG_VERSION: 0.26.0\nVERSION: 0.26.0\n+ ruff format httpx tests --diff\n60 files left unchanged\n+ mypy httpx tests\nhttpx/_client.py:1456: error: Unexpected keyword argument \"verify\" for \"AsyncHTTPTransport\" [call-arg]\nhttpx/_client.py:1458: error: Name \"verify\" is not defined [name-defined]\nhttpx/_client.py:1459: error: Name \"cert\" is not defined [name-defined]\nhttpx/_transports/default.py:260: note: \"AsyncHTTPTransport\" defined here\nhttpx/_client.py:1456: error: Unexpected keyword argument \"cert\" for \"AsyncHTTPTransport\" [call-arg]\nhttpx/_transports/default.py:260: note: \"AsyncHTTPTransport\" defined here\nFound 4 errors in 1 file (checked 60 source files)\n##[error]Process completed with exit code 1.\n" }, { "step_name": "Python 3.12/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\nCHANGELOG_VERSION: 0.26.0\nVERSION: 0.26.0\n+ ruff format httpx tests --diff\n60 files left unchanged\n+ mypy httpx tests\nhttpx/_client.py:1456: error: Unexpected keyword argument \"verify\" for \"AsyncHTTPTransport\" [call-arg]\nhttpx/_client.py:1458: error: Name \"verify\" is not defined [name-defined]\nhttpx/_client.py:1459: error: Name \"cert\" is not defined [name-defined]\nhttpx/_transports/default.py:260: note: \"AsyncHTTPTransport\" defined here\nhttpx/_client.py:1456: error: Unexpected keyword argument \"cert\" for \"AsyncHTTPTransport\" [call-arg]\nhttpx/_transports/default.py:260: note: \"AsyncHTTPTransport\" defined here\nFound 4 errors in 1 file (checked 60 source files)\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/httpx/_client.py b/httpx/_client.py index e5cff5d..4dd2d07 100644 --- a/httpx/_client.py +++ b/httpx/_client.py @@ -1455,8 +1455,6 @@ class AsyncClient(BaseClient): ) -> AsyncBaseTransport: return AsyncHTTPTransport( ssl_context=ssl_context, - verify=verify, - cert=cert, http1=http1, http2=http2, limits=limits,	2	[ "httpx/_client.py" ]	https://github.com/encode/httpx/tree/1afe2c9cb192d3760d59190cc7892e7ac37d5e27	2023-12-28T12:53:22Z
Python	108	encode	httpx	add-ssl-context-argument	Test Suite	test-suite.yml	.github/workflows/test-suite.yml	karpetrosyan	7f351340260c165e18ccd7c83dc783bb371b3797	8d5983adaf778096bb95171dcafe858f6c6d51bb	--- name: Test Suite on: push: branches: ["master"] pull_request: branches: ["master"] jobs: tests: name: "Python ${{ matrix.python-version }}" runs-on: "ubuntu-latest" services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: matrix: python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"] steps: - uses: "actions/checkout@v4" - uses: "actions/setup-python@v5" with: python-version: "${{ matrix.python-version }}" allow-prereleases: true - name: "Install dependencies" run: "scripts/install" - name: "Run linting checks" run: "scripts/check" - name: "Build package & docs" run: "scripts/build" - name: "Run tests" run: "scripts/test" - name: "Enforce coverage" run: "scripts/coverage" env: PIP_INDEX_URL: http://localhost:8629/2024-01-16 UV_INDEX_URL: http://localhost:8629/2024-01-16	[ { "step_name": "Python 3.8/8_Enforce coverage.txt", "log": "##[group]Run scripts/coverage\n\u001b[36;1mscripts/coverage\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n+ coverage report --show-missing --skip-covered --fail-under=100\nName Stmts Miss Cover Missing\n------------------------------------------------\nhttpx/_config.py 133 1 99% 139\n------------------------------------------------\nTOTAL 7570 1 99%\n\n58 files skipped due to complete coverage.\nCoverage failure: total of 99 is less than fail-under=100\n##[error]Process completed with exit code 2.\n" }, { "step_name": "Python 3.9/8_Enforce coverage.txt", "log": "##[group]Run scripts/coverage\n\u001b[36;1mscripts/coverage\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n+ coverage report --show-missing --skip-covered --fail-under=100\nName Stmts Miss Cover Missing\n------------------------------------------------\nhttpx/_config.py 133 1 99% 139\n------------------------------------------------\nTOTAL 7570 1 99%\n\n58 files skipped due to complete coverage.\nCoverage failure: total of 99 is less than fail-under=100\n##[error]Process completed with exit code 2.\n" }, { "step_name": "Python 3.10/8_Enforce coverage.txt", "log": "##[group]Run scripts/coverage\n\u001b[36;1mscripts/coverage\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n+ coverage report --show-missing --skip-covered --fail-under=100\nName Stmts Miss Cover Missing\n------------------------------------------------\nhttpx/_config.py 133 1 99% 139\n------------------------------------------------\nTOTAL 7577 1 99%\n\n58 files skipped due to complete coverage.\nCoverage failure: total of 99 is less than fail-under=100\n##[error]Process completed with exit code 2.\n" }, { "step_name": "Python 3.11/8_Enforce coverage.txt", "log": "##[group]Run scripts/coverage\n\u001b[36;1mscripts/coverage\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n+ coverage report --show-missing --skip-covered --fail-under=100\nName Stmts Miss Cover Missing\n------------------------------------------------\nhttpx/_config.py 133 1 99% 139\n------------------------------------------------\nTOTAL 7577 1 99%\n\n58 files skipped due to complete coverage.\nCoverage failure: total of 99 is less than fail-under=100\n##[error]Process completed with exit code 2.\n" } ]	diff --git a/docs/advanced/ssl.md b/docs/advanced/ssl.md index 1eec32f..2c3e679 100644 --- a/docs/advanced/ssl.md +++ b/docs/advanced/ssl.md @@ -14,7 +14,7 @@ You can configure the verification using `httpx.SSLContext()`. ```pycon >>> ssl_context = httpx.SSLContext() >>> ssl_context -<SSLContext [verify=True]> +SSLContext(verify=True) >>> httpx.get("https://www.example.com", ssl_context=ssl_context) httpx.ConnectError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: certificate has expired (_ssl.c:997) ``` @@ -24,7 +24,7 @@ For example, you can use this to disable verification completely and allow insec ```pycon >>> no_verify = httpx.SSLContext(verify=False) >>> no_verify -<SSLContext [verify=False]> +SSLContext(verify=False) >>> httpx.get("https://expired.badssl.com/", ssl_context=no_verify) <Response [200 OK]> ``` diff --git a/httpx/_config.py b/httpx/_config.py index 303388d..8cfeea7 100644 --- a/httpx/_config.py +++ b/httpx/_config.py @@ -136,7 +136,9 @@ class SSLContext(ssl.SSLContext): ) def __repr__(self) -> str: - return f"<SSLContext [verify={self.verify}]>" + class_name = self.__class__.__name__ + + return f"{class_name}(verify={self.verify!r})" def __new__( cls, diff --git a/tests/test_config.py b/tests/test_config.py index 530b150..b39efa8 100644 --- a/tests/test_config.py +++ b/tests/test_config.py @@ -74,6 +74,16 @@ def test_SSLContext_with_get_request(server, cert_pem_file): assert response.status_code == 200 +def test_SSLContext_repr(): + ssl_context = httpx.SSLContext() + + assert repr(ssl_context) == "SSLContext(verify=True)" + + ssl_context = httpx.SSLContext(verify=certifi.where()) + + assert repr(ssl_context) == "SSLContext(verify='{}')".format(certifi.where()) + + def test_limits_repr(): limits = httpx.Limits(max_connections=100) expected = (	3	[ "docs/advanced/ssl.md", "httpx/_config.py", "tests/test_config.py" ]	https://github.com/encode/httpx/tree/7f351340260c165e18ccd7c83dc783bb371b3797	2024-01-16T05:40:47Z
Python	109	encode	httpx	add-ssl-context-argument	Test Suite	test-suite.yml	.github/workflows/test-suite.yml	karpetrosyan	897a5deb406b53ea2f4675cdf0c2f1fa93fc6238	88f2ab747c4630e1c8c4454974e4a6e29757e55a	--- name: Test Suite on: push: branches: ["master"] pull_request: branches: ["master"] jobs: tests: name: "Python ${{ matrix.python-version }}" runs-on: "ubuntu-latest" services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: matrix: python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"] steps: - uses: "actions/checkout@v4" - uses: "actions/setup-python@v4" with: python-version: "${{ matrix.python-version }}" allow-prereleases: true - name: "Install dependencies" run: "scripts/install" - name: "Run linting checks" run: "scripts/check" - name: "Build package & docs" run: "scripts/build" - name: "Run tests" run: "scripts/test" - name: "Enforce coverage" run: "scripts/coverage" env: PIP_INDEX_URL: http://localhost:8629/2023-12-25 UV_INDEX_URL: http://localhost:8629/2023-12-25	[ { "step_name": "Python 3.8/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\nCHANGELOG_VERSION: 0.26.0\nVERSION: 0.26.0\n+ ruff format httpx tests --diff\n60 files left unchanged\n+ mypy httpx tests\nSuccess: no issues found in 60 source files\n+ ruff check httpx tests\nhttpx/__init__.py:1:1: I001 [] Import block is un-sorted or un-formatted\nFound 1 error.\n[] 1 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n" }, { "step_name": "Python 3.9/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\nCHANGELOG_VERSION: 0.26.0\nVERSION: 0.26.0\n+ ruff format httpx tests --diff\n60 files left unchanged\n+ mypy httpx tests\nSuccess: no issues found in 60 source files\n+ ruff check httpx tests\nhttpx/__init__.py:1:1: I001 [] Import block is un-sorted or un-formatted\nFound 1 error.\n[] 1 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n" }, { "step_name": "Python 3.10/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\nCHANGELOG_VERSION: 0.26.0\n+ ruff format httpx tests --diff\nVERSION: 0.26.0\n60 files left unchanged\n+ mypy httpx tests\nSuccess: no issues found in 60 source files\n+ ruff check httpx tests\nhttpx/__init__.py:1:1: I001 [] Import block is un-sorted or un-formatted\nFound 1 error.\n[] 1 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n" }, { "step_name": "Python 3.11/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\nCHANGELOG_VERSION: 0.26.0\nVERSION: 0.26.0\n+ ruff format httpx tests --diff\n60 files left unchanged\n+ mypy httpx tests\nSuccess: no issues found in 60 source files\n+ ruff check httpx tests\nhttpx/__init__.py:1:1: I001 [] Import block is un-sorted or un-formatted\nFound 1 error.\n[] 1 fixable with the `--fix` option.\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/httpx/__init__.py b/httpx/__init__.py index bfb1867..23b9f31 100644 --- a/httpx/__init__.py +++ b/httpx/__init__.py @@ -2,7 +2,7 @@ from .__version__ import __description__, __title__, __version__ from ._api import delete, get, head, options, patch, post, put, request, stream from ._auth import Auth, BasicAuth, DigestAuth, NetRCAuth from ._client import USE_CLIENT_DEFAULT, AsyncClient, Client -from ._config import Limits, Proxy, Timeout, SSLContext +from ._config import Limits, Proxy, SSLContext, Timeout from ._content import ByteStream from ._exceptions import ( CloseError,	0	[ "httpx/__init__.py" ]	https://github.com/encode/httpx/tree/897a5deb406b53ea2f4675cdf0c2f1fa93fc6238	2023-12-25T13:27:42Z
Python	116	wandb	wandb	main	pre-commit	pre-commit.yml	.github/workflows/pre-commit.yml	c-core-labs	077f6aaac3ebb96626ac747fb126a0b4d752489c	4c315803bfdb46fa7818cb08fd7224fb0bb599f1	name: pre-commit on: pull_request: push: branches: [main] jobs: pre-commit: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - uses: actions/setup-go@v4 with: go-version: '1.21' - uses: actions/setup-python@v3 - name: setup env run: \| ./core/scripts/code-checks.sh update - uses: pre-commit/[email protected] with: extra_args: --hook-stage pre-push --all-files env: SKIP: go-generate-graphql env: PIP_INDEX_URL: http://localhost:8629/2023-12-16 UV_INDEX_URL: http://localhost:8629/2023-12-16	[ { "step_name": "pre-commit/6_Run [email protected]", "log": "##[group]Run pre-commit/[email protected]\nwith:\n extra_args: --hook-stage pre-push --all-files\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.33-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 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0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 725.0/725.0 kB 90.4 MB/s eta 0:00:00\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.8/3.8 MB 116.1 MB/s eta 0:00:00\nDownloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 468.9/468.9 kB 81.8 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading setuptools-69.0.2-py3-none-any.whl (819 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 819.5/819.5 kB 92.1 MB/s eta 0:00:00\nInstalling collected packages: distlib, setuptools, pyyaml, platformdirs, identify, filelock, cfgv, virtualenv, nodeenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.8 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.6.0 pyyaml-6.0.1 setuptools-69.0.2 virtualenv-20.25.0\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.8\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.6.0\nPyYAML==6.0.1\nsetuptools==69.0.2\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3\|/opt/hostedtoolcache/Python/3.12.1/x64\|22e1ac8b31209d20dbc1af062b7bb70cb716a8ce5ddbf255b52ad3a34004f0dc\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\nReceived 0 of 48057368 (0.0%), 0.0 MBs/sec\nCache Size: ~46 MB (48057368 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/516a3dc9-7b6f-410a-9989-4b9d88d8a69b/cache.tzst -P -C /home/runner/work/wandb/wandb --use-compress-program unzstd\nReceived 48057368 of 48057368 (100.0%), 22.9 MBs/sec\nCache restored successfully\nCache restored from key: pre-commit-3\|/opt/hostedtoolcache/Python/3.12.1/x64\|22e1ac8b31209d20dbc1af062b7bb70cb716a8ce5ddbf255b52ad3a34004f0dc\n##[group]Run pre-commit run --show-diff-on-failure --color=always --hook-stage pre-push --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --hook-stage pre-push --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\nruff.....................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: ruff\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\nFound 1 error (1 fixed, 0 remaining).\n\nblack-jupyter............................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: black-jupyter\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\n\u001b[1mreformatted wandb/integration/ultralytics/callback.py\u001b[0m\n\n\u001b[1mAll done! ✨ 🍰 ✨\u001b[0m\n\u001b[34m\u001b[1m1 file \u001b[0m\u001b[1mreformatted\u001b[0m, \u001b[34m870 files \u001b[0mleft unchanged.\n\nblacken-docs.............................................................\u001b[42mPassed\u001b[m\nclang-format.............................................................\u001b[42mPassed\u001b[m\ncheck for merge conflicts................................................\u001b[42mPassed\u001b[m\ntrailing-whitespace......................................................\u001b[42mPassed\u001b[m\nend-of-file-fixer........................................................\u001b[42mPassed\u001b[m\ncheck-yaml...............................................................\u001b[42mPassed\u001b[m\ncheck-added-large-files..................................................\u001b[42mPassed\u001b[m\ncheck-shebang-scripts-are-executable.....................................\u001b[42mPassed\u001b[m\ncheck-executables-have-shebangs..........................................\u001b[42mPassed\u001b[m\ncheck-symlinks.......................................(no files to check)\u001b[46;30mSkipped\u001b[m\ncheck-toml...............................................................\u001b[42mPassed\u001b[m\ndebug-statements.........................................................\u001b[42mPassed\u001b[m\nforbid-submodules....................................(no files to check)\u001b[46;30mSkipped\u001b[m\nblack....................................................................\u001b[42mPassed\u001b[m\ngo-generate-proto........................................................\u001b[42mPassed\u001b[m\ngo-generate-graphql.....................................................\u001b[43;30mSkipped\u001b[m\ngo-fmt...................................................................\u001b[42mPassed\u001b[m\ngo-imports...............................................................\u001b[42mPassed\u001b[m\ngo-unit-tests............................................................\u001b[42mPassed\u001b[m\ngo-vet...................................................................\u001b[42mPassed\u001b[m\ngolangci-lint............................................................\u001b[42mPassed\u001b[m\ngo-critic................................................................\u001b[42mPassed\u001b[m\ngo-cyclo.................................................................\u001b[42mPassed\u001b[m\ngo-mod-tidy..............................................................\u001b[42mPassed\u001b[m\ngo-build.................................................................\u001b[42mPassed\u001b[m\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/wandb/integration/ultralytics/bbox_utils.py b/wandb/integration/ultralytics/bbox_utils.py\u001b[m\n\u001b[1mindex 798aa57..9cee915 100644\u001b[m\n\u001b[1m--- a/wandb/integration/ultralytics/bbox_utils.py\u001b[m\n\u001b[1m+++ b/wandb/integration/ultralytics/bbox_utils.py\u001b[m\n\u001b[36m@@ -3,6 +3,7 @@\u001b[m \u001b[mfrom typing import Any, Dict, List, Optional, Tuple, Union\u001b[m\n import torch\u001b[m\n from ultralytics.engine.results import Results\u001b[m\n from ultralytics.models.yolo.detect import DetectionPredictor\u001b[m\n\u001b[32m+\u001b[m\n try:\u001b[m\n from ultralytics.yolo.utils import ops\u001b[m\n except ModuleNotFoundError:\u001b[m\n\u001b[1mdiff --git a/wandb/integration/ultralytics/callback.py b/wandb/integration/ultralytics/callback.py\u001b[m\n\u001b[1mindex ed8a224..618fc5a 100644\u001b[m\n\u001b[1m--- a/wandb/integration/ultralytics/callback.py\u001b[m\n\u001b[1m+++ b/wandb/integration/ultralytics/callback.py\u001b[m\n\u001b[36m@@ -42,6 +42,7 @@\u001b[m \u001b[mtry:\u001b[m\n SegmentationValidator,\u001b[m\n )\u001b[m\n from ultralytics.utils.torch_utils import de_parallel\u001b[m\n\u001b[32m+\u001b[m\n try:\u001b[m\n from ultralytics.yolo.utils import RANK, __version__\u001b[m\n except ModuleNotFoundError:\u001b[m\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/wandb/cli/cli.py b/wandb/cli/cli.py index 94a3ece90..1d0031488 100644 --- a/wandb/cli/cli.py +++ b/wandb/cli/cli.py @@ -1496,6 +1496,8 @@ def launch( if cli_template_vars: if queue is None: raise LaunchError("'--set-var' flag requires queue to be set") + if entity is None: + entity = launch_utils.get_default_entity(api, config) public_api = PublicApi() runqueue = RunQueue(client=public_api.client, name=queue, entity=entity) template_variables = launch_utils.fetch_and_validate_template_variables( diff --git a/wandb/integration/ultralytics/bbox_utils.py b/wandb/integration/ultralytics/bbox_utils.py index 798aa573a..8b924697d 100644 --- a/wandb/integration/ultralytics/bbox_utils.py +++ b/wandb/integration/ultralytics/bbox_utils.py @@ -3,10 +3,7 @@ from typing import Any, Dict, List, Optional, Tuple, Union import torch from ultralytics.engine.results import Results from ultralytics.models.yolo.detect import DetectionPredictor -try: - from ultralytics.yolo.utils import ops -except ModuleNotFoundError: - from ultralytics.utils import ops +from ultralytics.yolo.utils import ops import wandb diff --git a/wandb/integration/ultralytics/callback.py b/wandb/integration/ultralytics/callback.py index ed8a22465..2e133a163 100644 --- a/wandb/integration/ultralytics/callback.py +++ b/wandb/integration/ultralytics/callback.py @@ -42,10 +42,7 @@ try: SegmentationValidator, ) from ultralytics.utils.torch_utils import de_parallel - try: - from ultralytics.yolo.utils import RANK, __version__ - except ModuleNotFoundError: - from ultralytics.utils import RANK, __version__ + from ultralytics.yolo.utils import RANK, __version__ from wandb.integration.ultralytics.bbox_utils import ( plot_predictions, diff --git a/wandb/integration/yolov8/yolov8.py b/wandb/integration/yolov8/yolov8.py index 1c5dbd0fe..310a39114 100644 --- a/wandb/integration/yolov8/yolov8.py +++ b/wandb/integration/yolov8/yolov8.py @@ -2,13 +2,8 @@ from typing import Any, Callable, Dict, List, Optional from ultralytics.yolo.engine.model import YOLO from ultralytics.yolo.engine.trainer import BaseTrainer - -try: - from ultralytics.yolo.utils import RANK - from ultralytics.yolo.utils.torch_utils import get_flops, get_num_params -except ModuleNotFoundError: - from ultralytics.utils import RANK - from ultralytics.utils.torch_utils import get_flops, get_num_params +from ultralytics.yolo.utils import RANK +from ultralytics.yolo.utils.torch_utils import get_flops, get_num_params from ultralytics.yolo.v8.classify.train import ClassificationTrainer import wandb diff --git a/wandb/sdk/launch/utils.py b/wandb/sdk/launch/utils.py index 05efe128e..69f4e57bb 100644 --- a/wandb/sdk/launch/utils.py +++ b/wandb/sdk/launch/utils.py @@ -204,10 +204,7 @@ def set_project_entity_defaults( config_project = launch_config.get("project") project = config_project or source_uri or "" if entity is None: - config_entity = None - if launch_config: - config_entity = launch_config.get("entity") - entity = config_entity or api.default_entity + entity = get_default_entity(api, launch_config) prefix = "" if platform.system() != "Windows" and sys.stdout.encoding == "UTF-8": prefix = "🚀 " @@ -217,6 +214,13 @@ def set_project_entity_defaults( return project, entity +def get_default_entity(api: Api, launch_config: Optional[Dict[str, Any]]): + config_entity = None + if launch_config: + config_entity = launch_config.get("entity") + return config_entity or api.default_entity + + def construct_launch_spec( uri: Optional[str], job: Optional[str],	0	[ "wandb/cli/cli.py", "wandb/integration/ultralytics/bbox_utils.py", "wandb/integration/ultralytics/callback.py", "wandb/integration/yolov8/yolov8.py", "wandb/sdk/launch/utils.py" ]	https://github.com/wandb/wandb/tree/077f6aaac3ebb96626ac747fb126a0b4d752489c	2023-12-16T17:25:03Z
Python	119	wandb	wandb	main	pre-commit	pre-commit.yml	.github/workflows/pre-commit.yml	wandb	c99ead9542bde331497f2456537fdbb0e37706d0	f9797b6e9463cc3601791dc42178c2436f13a2fb	name: pre-commit on: pull_request: push: branches: [main] jobs: pre-commit: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - uses: actions/setup-go@v4 with: go-version: '1.21' - uses: actions/setup-python@v3 - name: setup env run: \| ./nexus/scripts/code-checks.sh update - uses: pre-commit/[email protected] with: extra_args: --hook-stage pre-push --all-files env: SKIP: go-generate-graphql env: PIP_INDEX_URL: http://localhost:8629/2023-10-24 UV_INDEX_URL: http://localhost:8629/2023-10-24	[ { "step_name": "pre-commit/6_Run [email protected]", "log": "##[group]Run pre-commit/[email protected]\nwith:\n extra_args: --hook-stage pre-push --all-files\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.5.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.30-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.24.6-py3-none-any.whl.metadata (4.5 kB)\nRequirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.11.6/x64/lib/python3.11/site-packages (from nodeenv>=0.11.1->pre-commit) (65.5.0)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.7-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.12.4-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<4,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-3.11.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.5.0-py2.py3-none-any.whl (203 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 203.7/203.7 kB 4.6 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.30-py2.py3-none-any.whl (98 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 98.9/98.9 kB 7.4 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (757 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 757.7/757.7 kB 10.2 MB/s eta 0:00:00\nDownloading virtualenv-20.24.6-py3-none-any.whl (3.8 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.8/3.8 MB 20.8 MB/s eta 0:00:00\nDownloading distlib-0.3.7-py2.py3-none-any.whl (468 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 468.9/468.9 kB 33.7 MB/s eta 0:00:00\nDownloading filelock-3.12.4-py3-none-any.whl (11 kB)\nDownloading platformdirs-3.11.0-py3-none-any.whl (17 kB)\nInstalling collected packages: distlib, pyyaml, platformdirs, nodeenv, identify, filelock, cfgv, virtualenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.7 filelock-3.12.4 identify-2.5.30 nodeenv-1.8.0 platformdirs-3.11.0 pre-commit-3.5.0 pyyaml-6.0.1 virtualenv-20.24.6\n\n[notice] A new release of pip is available: 23.3 -> 23.3.1\n[notice] To update, run: pip install --upgrade pip\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.7\nfilelock==3.12.4\nidentify==2.5.30\nnodeenv==1.8.0\nplatformdirs==3.11.0\npre-commit==3.5.0\nPyYAML==6.0.1\nvirtualenv==20.24.6\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3\|/opt/hostedtoolcache/Python/3.11.6/x64\|4624495e58feb8be98af6293a50c9765fd8d1ff38819271c6f54f14eaeef22bf\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\nCache Size: ~43 MB (44974893 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/b71606f2-9f8e-400c-9185-4e13f5685bd6/cache.tzst -P -C /home/runner/work/wandb/wandb --use-compress-program unzstd\nReceived 44974893 of 44974893 (100.0%), 42.8 MBs/sec\nCache restored successfully\nCache restored from key: pre-commit-3\|/opt/hostedtoolcache/Python/3.11.6/x64\|4624495e58feb8be98af6293a50c9765fd8d1ff38819271c6f54f14eaeef22bf\n##[group]Run pre-commit run --show-diff-on-failure --color=always --hook-stage pre-push --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --hook-stage pre-push --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n SKIP: go-generate-graphql\n##[endgroup]\nruff.....................................................................\u001b[42mPassed\u001b[m\nblack-jupyter............................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: black-jupyter\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\n\u001b[1mreformatted wandb/sdk/data_types/image.py\u001b[0m\n\n\u001b[1mAll done! ✨ 🍰 ✨\u001b[0m\n\u001b[34m\u001b[1m1 file \u001b[0m\u001b[1mreformatted\u001b[0m, \u001b[34m851 files \u001b[0mleft unchanged.\n\nblacken-docs.............................................................\u001b[42mPassed\u001b[m\ncheck for merge conflicts................................................\u001b[42mPassed\u001b[m\ntrailing-whitespace......................................................\u001b[42mPassed\u001b[m\nend-of-file-fixer........................................................\u001b[42mPassed\u001b[m\ncheck-yaml...............................................................\u001b[42mPassed\u001b[m\ncheck-added-large-files..................................................\u001b[42mPassed\u001b[m\ncheck-shebang-scripts-are-executable.....................................\u001b[42mPassed\u001b[m\ncheck-executables-have-shebangs..........................................\u001b[42mPassed\u001b[m\ncheck-symlinks.......................................(no files to check)\u001b[46;30mSkipped\u001b[m\ncheck-toml...............................................................\u001b[42mPassed\u001b[m\ndebug-statements.........................................................\u001b[42mPassed\u001b[m\nforbid-submodules....................................(no files to check)\u001b[46;30mSkipped\u001b[m\nblack....................................................................\u001b[42mPassed\u001b[m\ngo-generate-proto........................................................\u001b[42mPassed\u001b[m\ngo-generate-graphql.....................................................\u001b[43;30mSkipped\u001b[m\ngo-fmt...................................................................\u001b[42mPassed\u001b[m\ngo-imports...............................................................\u001b[42mPassed\u001b[m\ngo-unit-tests............................................................\u001b[42mPassed\u001b[m\ngo-vet...................................................................\u001b[42mPassed\u001b[m\ngolangci-lint............................................................\u001b[42mPassed\u001b[m\ngo-critic................................................................\u001b[42mPassed\u001b[m\ngo-cyclo.................................................................\u001b[42mPassed\u001b[m\ngo-mod-tidy..............................................................\u001b[42mPassed\u001b[m\ngo-build.................................................................\u001b[42mPassed\u001b[m\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/wandb/sdk/data_types/image.py b/wandb/sdk/data_types/image.py\u001b[m\n\u001b[1mindex 977251b..67a9aa6 100644\u001b[m\n\u001b[1m--- a/wandb/sdk/data_types/image.py\u001b[m\n\u001b[1m+++ b/wandb/sdk/data_types/image.py\u001b[m\n\u001b[36m@@ -277,7 +277,7 @@\u001b[m \u001b[mclass Image(BatchableMedia):\u001b[m\n )\u001b[m\n if util.is_matplotlib_typename(util.get_full_typename(data)):\u001b[m\n buf = BytesIO()\u001b[m\n\u001b[31m- util.ensure_matplotlib_figure(data).savefig(buf, format='png')\u001b[m\n\u001b[32m+\u001b[m\u001b[32m util.ensure_matplotlib_figure(data).savefig(buf, format=\"png\")\u001b[m\n self._image = pil_image.open(buf, formats=[\"PNG\"])\u001b[m\n elif isinstance(data, pil_image.Image):\u001b[m\n self._image = data\u001b[m\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/wandb/sdk/data_types/image.py b/wandb/sdk/data_types/image.py index 977251b41..67a9aa6f1 100644 --- a/wandb/sdk/data_types/image.py +++ b/wandb/sdk/data_types/image.py @@ -277,7 +277,7 @@ class Image(BatchableMedia): ) if util.is_matplotlib_typename(util.get_full_typename(data)): buf = BytesIO() - util.ensure_matplotlib_figure(data).savefig(buf, format='png') + util.ensure_matplotlib_figure(data).savefig(buf, format="png") self._image = pil_image.open(buf, formats=["PNG"]) elif isinstance(data, pil_image.Image): self._image = data	0	[ "wandb/sdk/data_types/image.py" ]	https://github.com/wandb/wandb/tree/c99ead9542bde331497f2456537fdbb0e37706d0	2023-10-24T20:02:18Z
Python	126	googleapis	google-cloud-python	owl-bot-copy-packages-google-ai-generativelanguage	docs	docs.yml	.github/workflows/docs.yml	googleapis	99ad8a351bb884f1e398c1d85c62d6b6e0bdd67e	fba9d4b774cc6158768b3b503c43f72c005edfce	on: pull_request: branches: - main name: docs permissions: contents: read jobs: docs: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: Checkout uses: actions/checkout@v4 # Use a fetch-depth of 2 to avoid error `fatal: origin/main...HEAD: no merge base` # See https://github.com/googleapis/google-cloud-python/issues/12013 # and https://github.com/actions/checkout#checkout-head. with: fetch-depth: 2 - name: Setup Python uses: actions/setup-python@v5 with: python-version: "3.10" - name: Install nox run: \| python -m pip install --upgrade setuptools pip wheel python -m pip install nox - name: Run docs env: BUILD_TYPE: presubmit TEST_TYPE: docs PY_VERSION: "3.10" run: \| ci/run_conditional_tests.sh docfx: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - name: Checkout uses: actions/checkout@v4 # Use a fetch-depth of 2 to avoid error `fatal: origin/main...HEAD: no merge base` # See https://github.com/googleapis/google-cloud-python/issues/12013 # and https://github.com/actions/checkout#checkout-head. with: fetch-depth: 2 - name: Setup Python uses: actions/setup-python@v5 with: python-version: "3.10" - name: Install nox run: \| python -m pip install --upgrade setuptools pip wheel python -m pip install nox - name: Run docfx env: BUILD_TYPE: presubmit TEST_TYPE: docfx PY_VERSION: "3.10" run: \| ci/run_conditional_tests.sh env: PIP_INDEX_URL: http://localhost:8629/2024-01-18 UV_INDEX_URL: http://localhost:8629/2024-01-18	[ { "step_name": "docs/5_Run docs.txt", "log": "##[group]Run ci/run_conditional_tests.sh\n\u001b[36;1mci/run_conditional_tests.sh\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n BUILD_TYPE: presubmit\n TEST_TYPE: docs\n PY_VERSION: 3.10\n##[endgroup]\nFrom https://github.com/googleapis/google-cloud-python\n * branch main -> FETCH_HEAD\n * [new branch] main -> origin/main\nchecking changes with 'git diff --quiet origin/main... packages/google-ai-generativelanguage/'\nchange detected in packages/google-ai-generativelanguage/\nrunning test in packages/google-ai-generativelanguage/\n~/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage ~/work/google-cloud-python/google-cloud-python\nnox > Running session docs\nnox > Creating virtual environment (virtualenv) using python3.10 in .nox/docs\nnox > python -m pip install -e .\nnox > python -m pip install sphinxcontrib-applehelp==1.0.4 sphinxcontrib-devhelp==1.0.2 sphinxcontrib-htmlhelp==2.0.1 sphinxcontrib-qthelp==1.0.3 sphinxcontrib-serializinghtml==1.1.5 sphinx==4.5.0 alabaster recommonmark\nnox > sphinx-build -W -T -N -b html -d docs/_build/doctrees/ docs/ docs/_build/html/\nRunning Sphinx v4.5.0\nmaking output directory... done\n[autosummary] generating autosummary for: CHANGELOG.md, README.rst, generativelanguage_v1/generative_service.rst, generativelanguage_v1/model_service.rst, generativelanguage_v1/services_.rst, generativelanguage_v1/types_.rst, generativelanguage_v1beta/discuss_service.rst, generativelanguage_v1beta/generative_service.rst, generativelanguage_v1beta/model_service.rst, generativelanguage_v1beta/permission_service.rst, ..., generativelanguage_v1beta2/text_service.rst, generativelanguage_v1beta2/types_.rst, generativelanguage_v1beta3/discuss_service.rst, generativelanguage_v1beta3/model_service.rst, generativelanguage_v1beta3/permission_service.rst, generativelanguage_v1beta3/services_.rst, generativelanguage_v1beta3/text_service.rst, generativelanguage_v1beta3/types_.rst, index.rst, multiprocessing.rst\nloading intersphinx inventory from https://python.readthedocs.org/en/latest/objects.inv...\nloading intersphinx inventory from https://googleapis.dev/python/google-auth/latest/objects.inv...\nloading intersphinx inventory from https://googleapis.dev/python/google-api-core/latest/objects.inv...\nloading intersphinx inventory from https://grpc.github.io/grpc/python/objects.inv...\nloading intersphinx inventory from https://proto-plus-python.readthedocs.io/en/latest/objects.inv...\nloading intersphinx inventory from https://googleapis.dev/python/protobuf/latest/objects.inv...\nintersphinx inventory has moved: https://python.readthedocs.org/en/latest/objects.inv -> https://python.readthedocs.io/en/latest/objects.inv\nbuilding [mo]: targets for 0 po files that are out of date\nbuilding [html]: targets for 27 source files that are out of date\nupdating environment: [new config] 27 added, 0 changed, 0 removed\nreading sources... [ 3%] CHANGELOG\n/home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/.nox/docs/lib/python3.10/site-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document\n warn(\"Container node skipped: type={0}\".format(mdnode.t))\nreading sources... [ 7%] README\nreading sources... [ 11%] generativelanguage_v1/generative_service\nreading sources... [ 14%] generativelanguage_v1/model_service\nreading sources... [ 18%] generativelanguage_v1/services_\nreading sources... [ 22%] generativelanguage_v1/types_\nreading sources... [ 25%] generativelanguage_v1beta/discuss_service\nreading sources... [ 29%] generativelanguage_v1beta/generative_service\nreading sources... [ 33%] generativelanguage_v1beta/model_service\nreading sources... [ 37%] generativelanguage_v1beta/permission_service\nreading sources... [ 40%] generativelanguage_v1beta/retriever_service\nreading sources... [ 44%] generativelanguage_v1beta/services_\nreading sources... [ 48%] generativelanguage_v1beta/text_service\nreading sources... [ 51%] generativelanguage_v1beta/types_\nreading sources... [ 55%] generativelanguage_v1beta2/discuss_service\nreading sources... [ 59%] generativelanguage_v1beta2/model_service\nreading sources... [ 62%] generativelanguage_v1beta2/services_\nreading sources... [ 66%] generativelanguage_v1beta2/text_service\nreading sources... [ 70%] generativelanguage_v1beta2/types_\nreading sources... [ 74%] generativelanguage_v1beta3/discuss_service\nreading sources... [ 77%] generativelanguage_v1beta3/model_service\nreading sources... [ 81%] generativelanguage_v1beta3/permission_service\nreading sources... [ 85%] generativelanguage_v1beta3/services_\nreading sources... [ 88%] generativelanguage_v1beta3/text_service\nreading sources... [ 92%] generativelanguage_v1beta3/types_\nreading sources... [ 96%] index\nreading sources... [100%] multiprocessing\n\n\nTraceback (most recent call last):\n File \"/home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/.nox/docs/lib/python3.10/site-packages/sphinx/cmd/build.py\", line 276, in build_main\n app.build(args.force_all, filenames)\n File \"/home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/.nox/docs/lib/python3.10/site-packages/sphinx/application.py\", line 330, in build\n self.builder.build_update()\n File \"/home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/.nox/docs/lib/python3.10/site-packages/sphinx/builders/__init__.py\", line 286, in build_update\n self.build(to_build,\n File \"/home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/.nox/docs/lib/python3.10/site-packages/sphinx/builders/__init__.py\", line 299, in build\n with logging.pending_warnings():\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/contextlib.py\", line 142, in __exit__\n next(self.gen)\n File \"/home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/.nox/docs/lib/python3.10/site-packages/sphinx/util/logging.py\", line 217, in pending_warnings\n memhandler.flushTo(logger)\n File \"/home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/.nox/docs/lib/python3.10/site-packages/sphinx/util/logging.py\", line 182, in flushTo\n logger.handle(record)\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py\", line 1634, in handle\n self.callHandlers(record)\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py\", line 1696, in callHandlers\n hdlr.handle(record)\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py\", line 964, in handle\n rv = self.filter(record)\n File \"/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py\", line 821, in filter\n result = f.filter(record)\n File \"/home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/.nox/docs/lib/python3.10/site-packages/sphinx/util/logging.py\", line 425, in filter\n raise exc\nsphinx.errors.SphinxWarning: /home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta/types/retriever.py:docstring of google.ai.generativelanguage_v1beta.types.retriever.Document:6:Inline emphasis start-string without end-string.\n\nWarning, treated as error:\n/home/runner/work/google-cloud-python/google-cloud-python/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta/types/retriever.py:docstring of google.ai.generativelanguage_v1beta.types.retriever.Document:6:Inline emphasis start-string without end-string.\nnox > Command sphinx-build -W -T -N -b html -d docs/_build/doctrees/ docs/ docs/_build/html/ failed with exit code 2\nnox > Session docs failed.\n~/work/google-cloud-python/google-cloud-python\nchecking changes with 'git diff --quiet origin/main... packages/google-analytics-admin/'\nno change detected in packages/google-analytics-admin/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-analytics-data/'\nno change detected in packages/google-analytics-data/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-apps-meet/'\nno change detected in packages/google-apps-meet/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-apps-script-type/'\nno change detected in packages/google-apps-script-type/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-area120-tables/'\nno change detected in packages/google-area120-tables/, skipping\nchecking changes with 'git diff --quiet origin/main... 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skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-functions/'\nno change detected in packages/google-cloud-functions/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-gke-backup/'\nno change detected in packages/google-cloud-gke-backup/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-gke-connect-gateway/'\nno change detected in packages/google-cloud-gke-connect-gateway/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-gke-hub/'\nno change detected in packages/google-cloud-gke-hub/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-gke-multicloud/'\nno change detected in packages/google-cloud-gke-multicloud/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-gsuiteaddons/'\nno change detected in packages/google-cloud-gsuiteaddons/, skipping\nchecking changes 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packages/google-cloud-monitoring-dashboards/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-monitoring-metrics-scopes/'\nno change detected in packages/google-cloud-monitoring-metrics-scopes/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-monitoring/'\nno change detected in packages/google-cloud-monitoring/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-netapp/'\nno change detected in packages/google-cloud-netapp/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-network-connectivity/'\nno change detected in packages/google-cloud-network-connectivity/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-network-management/'\nno change detected in packages/google-cloud-network-management/, skipping\nchecking changes with 'git diff --quiet origin/main... 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packages/google-cloud-os-login/'\nno change detected in packages/google-cloud-os-login/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-phishing-protection/'\nno change detected in packages/google-cloud-phishing-protection/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-policy-troubleshooter/'\nno change detected in packages/google-cloud-policy-troubleshooter/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-policysimulator/'\nno change detected in packages/google-cloud-policysimulator/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-policytroubleshooter-iam/'\nno change detected in packages/google-cloud-policytroubleshooter-iam/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-private-ca/'\nno change detected in packages/google-cloud-private-ca/, skipping\nchecking changes with 'git diff 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changes with 'git diff --quiet origin/main... packages/google-cloud-redis-cluster/'\nno change detected in packages/google-cloud-redis-cluster/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-redis/'\nno change detected in packages/google-cloud-redis/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-resource-manager/'\nno change detected in packages/google-cloud-resource-manager/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-resource-settings/'\nno change detected in packages/google-cloud-resource-settings/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-retail/'\nno change detected in packages/google-cloud-retail/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-run/'\nno change detected in packages/google-cloud-run/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-scheduler/'\nno change detected in packages/google-cloud-scheduler/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-secret-manager/'\nno change detected in packages/google-cloud-secret-manager/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-securesourcemanager/'\nno change detected in packages/google-cloud-securesourcemanager/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-securitycenter/'\nno change detected in packages/google-cloud-securitycenter/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-securitycentermanagement/'\nno change detected in packages/google-cloud-securitycentermanagement/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-service-control/'\nno change detected in packages/google-cloud-service-control/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-service-directory/'\nno change detected in packages/google-cloud-service-directory/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-service-management/'\nno change detected in packages/google-cloud-service-management/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-service-usage/'\nno change detected in packages/google-cloud-service-usage/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-servicehealth/'\nno change detected in packages/google-cloud-servicehealth/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-shell/'\nno change detected in packages/google-cloud-shell/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-source-context/'\nno change detected in packages/google-cloud-source-context/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-speech/'\nno change detected in packages/google-cloud-speech/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-storage-transfer/'\nno change detected in packages/google-cloud-storage-transfer/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-storageinsights/'\nno change detected in packages/google-cloud-storageinsights/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-support/'\nno change detected in packages/google-cloud-support/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-talent/'\nno change detected in packages/google-cloud-talent/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-tasks/'\nno change detected in packages/google-cloud-tasks/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-telcoautomation/'\nno change detected in packages/google-cloud-telcoautomation/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-texttospeech/'\nno change detected in packages/google-cloud-texttospeech/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-tpu/'\nno change detected in packages/google-cloud-tpu/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-trace/'\nno change detected in packages/google-cloud-trace/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-translate/'\nno change detected in packages/google-cloud-translate/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-video-live-stream/'\nno change detected in packages/google-cloud-video-live-stream/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-video-stitcher/'\nno change detected in packages/google-cloud-video-stitcher/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-video-transcoder/'\nno change detected in packages/google-cloud-video-transcoder/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-videointelligence/'\nno change detected in packages/google-cloud-videointelligence/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-vision/'\nno change detected in packages/google-cloud-vision/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-vm-migration/'\nno change detected in packages/google-cloud-vm-migration/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-vmwareengine/'\nno change detected in packages/google-cloud-vmwareengine/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-vpc-access/'\nno change detected in packages/google-cloud-vpc-access/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-webrisk/'\nno change detected in packages/google-cloud-webrisk/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-websecurityscanner/'\nno change detected in packages/google-cloud-websecurityscanner/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-workflows/'\nno change detected in packages/google-cloud-workflows/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-cloud-workstations/'\nno change detected in packages/google-cloud-workstations/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-geo-type/'\nno change detected in packages/google-geo-type/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-maps-addressvalidation/'\nno change detected in packages/google-maps-addressvalidation/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-maps-fleetengine-delivery/'\nno change detected in packages/google-maps-fleetengine-delivery/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-maps-fleetengine/'\nno change detected in packages/google-maps-fleetengine/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-maps-mapsplatformdatasets/'\nno change detected in packages/google-maps-mapsplatformdatasets/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-maps-places/'\nno change detected in packages/google-maps-places/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-maps-routing/'\nno change detected in packages/google-maps-routing/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-shopping-css/'\nno change detected in packages/google-shopping-css/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-shopping-merchant-inventories/'\nno change detected in packages/google-shopping-merchant-inventories/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-shopping-merchant-reports/'\nno change detected in packages/google-shopping-merchant-reports/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/google-shopping-type/'\nno change detected in packages/google-shopping-type/, skipping\nchecking changes with 'git diff --quiet origin/main... packages/grafeas/'\nno change detected in packages/grafeas/, skipping\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta/types/retriever.py b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta/types/retriever.py index c00ad1b89194..3af2c6a1a58c 100644 --- a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta/types/retriever.py +++ b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta/types/retriever.py @@ -88,7 +88,7 @@ class Document(proto.Message): Attributes: name (str): Immutable. Identifier. The ``Document`` resource name. The - ID (name excluding the "corpora//documents/" prefix) can + ID (name excluding the `corpora//documents/` prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived @@ -315,7 +315,7 @@ class Chunk(proto.Message): Attributes: name (str): Immutable. Identifier. The ``Chunk`` resource name. The ID - (name excluding the "corpora//documents//chunks/" prefix) + (name excluding the `corpora//documents//chunks/` prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a random diff --git a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/async_client.py b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/async_client.py index 1a80d83885de..28d0b0f12ee5 100644 --- a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/async_client.py +++ b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/async_client.py @@ -305,11 +305,11 @@ class PermissionServiceAsyncClient: role is a superset of the previous role's permitted operations: - - reader can use the resource (e.g. + - reader can use the resource (e.g. tuned model) for inference - - writer has reader's permissions and + - writer has reader's permissions and additionally can edit and share - - owner has writer's permissions and + - owner has writer's permissions and additionally can delete """ @@ -432,11 +432,11 @@ class PermissionServiceAsyncClient: role is a superset of the previous role's permitted operations: - - reader can use the resource (e.g. + - reader can use the resource (e.g. tuned model) for inference - - writer has reader's permissions and + - writer has reader's permissions and additionally can edit and share - - owner has writer's permissions and + - owner has writer's permissions and additionally can delete """ @@ -682,11 +682,11 @@ class PermissionServiceAsyncClient: role is a superset of the previous role's permitted operations: - - reader can use the resource (e.g. + - reader can use the resource (e.g. tuned model) for inference - - writer has reader's permissions and + - writer has reader's permissions and additionally can edit and share - - owner has writer's permissions and + - owner has writer's permissions and additionally can delete """ diff --git a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/client.py b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/client.py index 78bbe681b0cc..9afdb7375e5e 100644 --- a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/client.py +++ b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/client.py @@ -542,11 +542,11 @@ class PermissionServiceClient(metaclass=PermissionServiceClientMeta): role is a superset of the previous role's permitted operations: - - reader can use the resource (e.g. + - reader can use the resource (e.g. tuned model) for inference - - writer has reader's permissions and + - writer has reader's permissions and additionally can edit and share - - owner has writer's permissions and + - owner has writer's permissions and additionally can delete """ @@ -669,11 +669,11 @@ class PermissionServiceClient(metaclass=PermissionServiceClientMeta): role is a superset of the previous role's permitted operations: - - reader can use the resource (e.g. + - reader can use the resource (e.g. tuned model) for inference - - writer has reader's permissions and + - writer has reader's permissions and additionally can edit and share - - owner has writer's permissions and + - owner has writer's permissions and additionally can delete """ @@ -919,11 +919,11 @@ class PermissionServiceClient(metaclass=PermissionServiceClientMeta): role is a superset of the previous role's permitted operations: - - reader can use the resource (e.g. + - reader can use the resource (e.g. tuned model) for inference - - writer has reader's permissions and + - writer has reader's permissions and additionally can edit and share - - owner has writer's permissions and + - owner has writer's permissions and additionally can delete """ diff --git a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/transports/rest.py b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/transports/rest.py index 12af3b148a45..352dfe0983f9 100644 --- a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/transports/rest.py +++ b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/transports/rest.py @@ -395,11 +395,11 @@ class PermissionServiceRestTransport(PermissionServiceTransport): role is a superset of the previous role's permitted operations: - - reader can use the resource (e.g. + - reader can use the resource (e.g. tuned model) for inference - - writer has reader's permissions and + - writer has reader's permissions and additionally can edit and share - - owner has writer's permissions and + - owner has writer's permissions and additionally can delete """ @@ -592,11 +592,11 @@ class PermissionServiceRestTransport(PermissionServiceTransport): role is a superset of the previous role's permitted operations: - - reader can use the resource (e.g. + - reader can use the resource (e.g. tuned model) for inference - - writer has reader's permissions and + - writer has reader's permissions and additionally can edit and share - - owner has writer's permissions and + - owner has writer's permissions and additionally can delete """ @@ -891,11 +891,11 @@ class PermissionServiceRestTransport(PermissionServiceTransport): role is a superset of the previous role's permitted operations: - - reader can use the resource (e.g. + - reader can use the resource (e.g. tuned model) for inference - - writer has reader's permissions and + - writer has reader's permissions and additionally can edit and share - - owner has writer's permissions and + - owner has writer's permissions and additionally can delete """ diff --git a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/types/permission.py b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/types/permission.py index 115ca22e8bef..09af2311c4ed 100644 --- a/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/types/permission.py +++ b/packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/types/permission.py @@ -41,10 +41,10 @@ class Permission(proto.Message): There are three concentric roles. Each role is a superset of the previous role's permitted operations: - - reader can use the resource (e.g. tuned model) for inference - - writer has reader's permissions and additionally can edit and + - reader can use the resource (e.g. tuned model) for inference + - writer has reader's permissions and additionally can edit and share - - owner has writer's permissions and additionally can delete + - owner has writer's permissions and additionally can delete .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields	0	[ "packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta/types/retriever.py", "packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/async_client.py", "packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/client.py", "packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/services/permission_service/transports/rest.py", "packages/google-ai-generativelanguage/google/ai/generativelanguage_v1beta3/types/permission.py" ]	https://github.com/googleapis/google-cloud-python/tree/99ad8a351bb884f1e398c1d85c62d6b6e0bdd67e	2024-01-18T22:49:18Z
Python	127	huggingface	accelerate	main	Quality Check	quality.yml	.github/workflows/quality.yml	PhilJd	44b56e01683771fb4ca583f9ea57c67dcee8e779	90bb882770fafc8db2fabc7fe58f446e12b55d77	name: Quality Check on: [pull_request] jobs: quality: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/[email protected] - name: Set up Python 3.8 uses: actions/setup-python@v3 with: python-version: 3.8 - name: Install Python dependencies run: pip install -e .[quality] - name: Run Quality check run: make quality - name: Check if failure if: ${{ failure() }} run: \| echo "Quality check failed. Please ensure the right dependency versions are installed with 'pip install -e .[quality]' and rerun 'make style; make quality;'" >> $GITHUB_STEP_SUMMARY env: PIP_INDEX_URL: http://localhost:8629/2024-01-05 UV_INDEX_URL: http://localhost:8629/2024-01-05	[ { "step_name": "quality/5_Run Quality check.txt", "log": "##[group]Run make quality\n\u001b[36;1mmake quality\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nblack --required-version 23 --check tests src examples benchmarks utils\nAll done! ✨ 🍰 ✨\n118 files would be left unchanged.\nruff tests src examples benchmarks utils\ndoc-builder style src/accelerate docs/source --max_len 119 --check_only\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/bin/doc-builder\", line 8, in <module>\n sys.exit(main())\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/doc_builder/commands/doc_builder_cli.py\", line 47, in main\n args.func(args)\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/doc_builder/commands/style.py\", line 28, in style_command\n raise ValueError(f\"{len(changed)} files should be restyled!\")\nValueError: 1 files should be restyled!\nmake: *** [Makefile:17: quality] Error 1\n##[error]Process completed with exit code 2.\n" } ]	diff --git a/src/accelerate/big_modeling.py b/src/accelerate/big_modeling.py index 5fd2bd5..6a2392a 100644 --- a/src/accelerate/big_modeling.py +++ b/src/accelerate/big_modeling.py @@ -73,7 +73,9 @@ def init_empty_weights(include_buffers: bool = None): Any model created under this context manager has no weights. As such you can't do something like `model.to(some_device)` with it. To load weights inside your empty model, see [`load_checkpoint_and_dispatch`]. - Make sure to overwrite the default device_map param, otherwise dispatch is not called. + Make sure to overwrite the default device_map param for [`load_checkpoint_and_dispatch`], otherwise dispatch is not + called. + </Tip> """ if include_buffers is None: @@ -480,7 +482,7 @@ def load_checkpoint_and_dispatch( To have Accelerate compute the most optimized `device_map` automatically, set `device_map="auto"`. For more information about each option see [here](../concept_guides/big_model_inference#designing-a-device-map). - Defaults to None, which means `dispatch_model` will not be called. + Defaults to None, which means [`dispatch_model`] will not be called. max_memory (`Dict`, optional): A dictionary device identifier to maximum memory. Will default to the maximum memory available for each GPU and the available CPU RAM if unset.	0	[ "src/accelerate/big_modeling.py" ]	https://github.com/huggingface/accelerate/tree/44b56e01683771fb4ca583f9ea57c67dcee8e779	2024-01-05T15:35:31Z
Python	128	huggingface	accelerate	device-agnostic-testing	Quality Check	quality.yml	.github/workflows/quality.yml	statelesshz	3dd8e4404a0ce2e29db4911dc2cd7e94755be631	c9a13fe9a890cfb48ee6c7b1c6abd64c8fb432da	name: Quality Check on: [pull_request] jobs: quality: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/[email protected] - name: Set up Python 3.8 uses: actions/setup-python@v3 with: python-version: 3.8 - name: Install Python dependencies run: pip install -e .[quality] - name: Run Quality check run: make quality - name: Check if failure if: ${{ failure() }} run: \| echo "Quality check failed. Please ensure the right dependency versions are installed with 'pip install -e .[quality]' and rerun 'make style; make quality;'" >> $GITHUB_STEP_SUMMARY env: PIP_INDEX_URL: http://localhost:8629/2023-12-11 UV_INDEX_URL: http://localhost:8629/2023-12-11	[ { "step_name": "quality/5_Run Quality check.txt", "log": "##[group]Run make quality\n\u001b[36;1mmake quality\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nblack --required-version 23 --check tests src examples benchmarks utils\nAll done! ✨ 🍰 ✨\n118 files would be left unchanged.\nruff tests src examples benchmarks utils\ntests/deepspeed/test_deepspeed.py:15:1: I001 [] Import block is un-sorted or un-formatted\ntests/fsdp/test_fsdp.py:16:1: I001 [] Import block is un-sorted or un-formatted\nFound 2 errors.\n[] 2 fixable with the `--fix` option.\nmake: ** [Makefile:16: quality] Error 1\n##[error]Process completed with exit code 2.\n" } ]	diff --git a/tests/deepspeed/test_deepspeed.py b/tests/deepspeed/test_deepspeed.py index 035965c..612f234 100644 --- a/tests/deepspeed/test_deepspeed.py +++ b/tests/deepspeed/test_deepspeed.py @@ -36,9 +36,9 @@ from accelerate.test_utils.testing import ( AccelerateTestCase, TempDirTestCase, execute_subprocess_async, - require_non_cpu, require_deepspeed, require_multi_device, + require_non_cpu, slow, ) from accelerate.test_utils.training import RegressionDataset diff --git a/tests/fsdp/test_fsdp.py b/tests/fsdp/test_fsdp.py index d939991..c494f5e 100644 --- a/tests/fsdp/test_fsdp.py +++ b/tests/fsdp/test_fsdp.py @@ -28,9 +28,9 @@ from accelerate.test_utils.testing import ( AccelerateTestCase, TempDirTestCase, execute_subprocess_async, - require_non_cpu, require_fsdp, require_multi_device, + require_non_cpu, slow, ) from accelerate.utils.constants import (	0	[ "tests/deepspeed/test_deepspeed.py", "tests/fsdp/test_fsdp.py" ]	https://github.com/huggingface/accelerate/tree/3dd8e4404a0ce2e29db4911dc2cd7e94755be631	2023-12-11T06:07:31Z
Python	129	huggingface	accelerate	AjayP13-patch-1	Quality Check	quality.yml	.github/workflows/quality.yml	AjayP13	028ad1efee2c41691d78e5a4de90ebd6f8236cad	9ff59024aee19e24948401eb8cc7057602592b49	name: Quality Check on: [pull_request] jobs: quality: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/[email protected] - name: Set up Python 3.8 uses: actions/setup-python@v3 with: python-version: 3.8 - name: Install Python dependencies run: pip install -e .[quality] - name: Run Quality check run: make quality - name: Check if failure if: ${{ failure() }} run: \| echo "Quality check failed. Please ensure the right dependency versions are installed with 'pip install -e .[quality]' and rerun 'make style; make quality;'" >> $GITHUB_STEP_SUMMARY env: PIP_INDEX_URL: http://localhost:8629/2024-01-19 UV_INDEX_URL: http://localhost:8629/2024-01-19	[ { "step_name": "quality/5_Run Quality check.txt", "log": "##[group]Run make quality\n\u001b[36;1mmake quality\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nblack --required-version 23 --check tests src examples benchmarks utils\nAll done! ✨ 🍰 ✨\n118 files would be left unchanged.\nruff tests src examples benchmarks utils\nsrc/accelerate/utils/__init__.py:1:1: I001 [] Import block is un-sorted or un-formatted\nsrc/accelerate/utils/modeling.py:15:1: I001 [] Import block is un-sorted or un-formatted\nFound 2 errors.\n[] 2 fixable with the `--fix` option.\nmake: ** [Makefile:16: quality] Error 1\n##[error]Process completed with exit code 2.\n" } ]	diff --git a/src/accelerate/utils/__init__.py b/src/accelerate/utils/__init__.py index ddf794a..7179afb 100644 --- a/src/accelerate/utils/__init__.py +++ b/src/accelerate/utils/__init__.py @@ -59,7 +59,6 @@ from .imports import ( is_comet_ml_available, is_cuda_available, is_datasets_available, - is_peft_available, is_deepspeed_available, is_dvclive_available, is_fp8_available, @@ -70,6 +69,7 @@ from .imports import ( is_msamp_available, is_npu_available, is_pandas_available, + is_peft_available, is_rich_available, is_sagemaker_available, is_tensorboard_available, @@ -81,7 +81,6 @@ from .imports import ( is_xpu_available, ) from .modeling import ( - is_peft_model, calculate_maximum_sizes, check_device_map, check_tied_parameters_in_config, @@ -96,6 +95,7 @@ from .modeling import ( get_mixed_precision_context_manager, id_tensor_storage, infer_auto_device_map, + is_peft_model, load_checkpoint_in_model, load_offloaded_weights, load_state_dict, diff --git a/src/accelerate/utils/modeling.py b/src/accelerate/utils/modeling.py index 802b13c..03d3a39 100644 --- a/src/accelerate/utils/modeling.py +++ b/src/accelerate/utils/modeling.py @@ -30,7 +30,7 @@ import torch.nn as nn from ..state import AcceleratorState from .constants import SAFE_WEIGHTS_NAME, WEIGHTS_NAME from .dataclasses import AutocastKwargs, CustomDtype, DistributedType -from .imports import is_mps_available, is_npu_available, is_xpu_available, is_peft_available +from .imports import is_mps_available, is_npu_available, is_peft_available, is_xpu_available from .offload import load_offloaded_weight, offload_weight, save_offload_index from .tqdm import is_tqdm_available, tqdm	0	[ "src/accelerate/utils/__init__.py", "src/accelerate/utils/modeling.py" ]	https://github.com/huggingface/accelerate/tree/028ad1efee2c41691d78e5a4de90ebd6f8236cad	2024-01-19T21:27:45Z
Python	130	huggingface	accelerate	AjayP13-patch-1	Quality Check	quality.yml	.github/workflows/quality.yml	AjayP13	c9991372b81edabb86965638db110ab930f8e165	bc1bcebbac61b294a21942da7541993b08431d41	name: Quality Check on: [pull_request] jobs: quality: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/[email protected] - name: Set up Python 3.8 uses: actions/setup-python@v3 with: python-version: 3.8 - name: Install Python dependencies run: pip install -e .[quality] - name: Run Quality check run: make quality - name: Check if failure if: ${{ failure() }} run: \| echo "Quality check failed. Please ensure the right dependency versions are installed with 'pip install -e .[quality]' and rerun 'make style; make quality;'" >> $GITHUB_STEP_SUMMARY env: PIP_INDEX_URL: http://localhost:8629/2024-01-10 UV_INDEX_URL: http://localhost:8629/2024-01-10	[ { "step_name": "quality/5_Run Quality check.txt", "log": "##[group]Run make quality\n\u001b[36;1mmake quality\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nblack --required-version 23 --check tests src examples benchmarks utils\nAll done! ✨ 🍰 ✨\n118 files would be left unchanged.\nruff tests src examples benchmarks utils\nsrc/accelerate/utils/fsdp_utils.py:14:1: I001 [] Import block is un-sorted or un-formatted\nFound 1 error.\n[] 1 fixable with the `--fix` option.\nmake: *** [Makefile:16: quality] Error 1\n##[error]Process completed with exit code 2.\n" } ]	diff --git a/src/accelerate/utils/fsdp_utils.py b/src/accelerate/utils/fsdp_utils.py index 35126fc..a638825 100644 --- a/src/accelerate/utils/fsdp_utils.py +++ b/src/accelerate/utils/fsdp_utils.py @@ -17,7 +17,7 @@ import torch from ..logging import get_logger from .constants import FSDP_MODEL_NAME, FSDP_PYTORCH_VERSION, OPTIMIZER_NAME -from .imports import is_torch_distributed_available, is_peft_available +from .imports import is_peft_available, is_torch_distributed_available from .other import extract_model_from_parallel from .versions import is_torch_version	0	[ "src/accelerate/utils/fsdp_utils.py" ]	https://github.com/huggingface/accelerate/tree/c9991372b81edabb86965638db110ab930f8e165	2024-01-10T13:26:31Z
Python	140	dask	dask	milesgranger/10801-more-deprecations	Linting	pre-commit.yml	.github/workflows/pre-commit.yml	milesgranger	16a0c04d06205527ec5e379df2596b399ee5dadc	3716f88d477a969d0910c75b4268949af11c0e6e	name: Linting on: push: branches: main pull_request: branches: main jobs: checks: name: pre-commit hooks runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/[email protected] - uses: actions/setup-python@v5 with: python-version: '3.9' - uses: pre-commit/[email protected] env: PIP_INDEX_URL: http://localhost:8629/2024-01-22 UV_INDEX_URL: http://localhost:8629/2024-01-22	[ { "step_name": "pre-commit hooks/4_Run [email protected]", "log": "##[group]Run pre-commit/[email protected]\nwith:\n extra_args: --all-files\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n##[group]Run python -m pip install pre-commit\n\u001b[36;1mpython -m pip install pre-commit\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nCollecting pre-commit\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting cfgv>=2.0.0 (from pre-commit)\n Downloading cfgv-3.4.0-py2.py3-none-any.whl.metadata (8.5 kB)\nCollecting identify>=1.0.0 (from pre-commit)\n Downloading identify-2.5.33-py2.py3-none-any.whl.metadata (4.4 kB)\nCollecting nodeenv>=0.11.1 (from pre-commit)\n Downloading nodeenv-1.8.0-py2.py3-none-any.whl.metadata (21 kB)\nCollecting pyyaml>=5.1 (from pre-commit)\n Downloading PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting virtualenv>=20.10.0 (from pre-commit)\n Downloading virtualenv-20.25.0-py3-none-any.whl.metadata (4.5 kB)\nRequirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages (from nodeenv>=0.11.1->pre-commit) (58.1.0)\nCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit)\n Downloading distlib-0.3.8-py2.py3-none-any.whl.metadata (5.1 kB)\nCollecting filelock<4,>=3.12.2 (from virtualenv>=20.10.0->pre-commit)\n Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting platformdirs<5,>=3.9.1 (from virtualenv>=20.10.0->pre-commit)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nDownloading pre_commit-3.6.0-py2.py3-none-any.whl (204 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 204.0/204.0 kB 19.7 MB/s eta 0:00:00\nDownloading cfgv-3.4.0-py2.py3-none-any.whl (7.2 kB)\nDownloading identify-2.5.33-py2.py3-none-any.whl (98 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 98.9/98.9 kB 27.0 MB/s eta 0:00:00\nDownloading nodeenv-1.8.0-py2.py3-none-any.whl (22 kB)\nDownloading PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (738 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 738.9/738.9 kB 80.2 MB/s eta 0:00:00\nDownloading virtualenv-20.25.0-py3-none-any.whl (3.8 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.8/3.8 MB 114.1 MB/s eta 0:00:00\nDownloading distlib-0.3.8-py2.py3-none-any.whl (468 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 468.9/468.9 kB 78.9 MB/s eta 0:00:00\nDownloading filelock-3.13.1-py3-none-any.whl (11 kB)\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nInstalling collected packages: distlib, pyyaml, platformdirs, nodeenv, identify, filelock, cfgv, virtualenv, pre-commit\nSuccessfully installed cfgv-3.4.0 distlib-0.3.8 filelock-3.13.1 identify-2.5.33 nodeenv-1.8.0 platformdirs-4.1.0 pre-commit-3.6.0 pyyaml-6.0.1 virtualenv-20.25.0\n\n[notice] A new release of pip is available: 23.0.1 -> 23.3.2\n[notice] To update, run: pip install --upgrade pip\n##[group]Run python -m pip freeze --local\n\u001b[36;1mpython -m pip freeze --local\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\ncfgv==3.4.0\ndistlib==0.3.8\nfilelock==3.13.1\nidentify==2.5.33\nnodeenv==1.8.0\nplatformdirs==4.1.0\npre-commit==3.6.0\nPyYAML==6.0.1\nvirtualenv==20.25.0\n##[group]Run actions/cache@v3\nwith:\n path: ~/.cache/pre-commit\n key: pre-commit-3\|/opt/hostedtoolcache/Python/3.9.18/x64\|2f6023be5c7e4f75d9ed9a00c3fcb4c3fa7d8493a70885078264f9accc27f632\n enableCrossOsArchive: false\n fail-on-cache-miss: false\n lookup-only: false\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nReceived 0 of 69094681 (0.0%), 0.0 MBs/sec\nCache Size: ~66 MB (69094681 B)\n[command]/usr/bin/tar -xf /home/runner/work/_temp/2e80fd5c-4883-4bdb-be22-ed0a545b7db7/cache.tzst -P -C /home/runner/work/dask/dask --use-compress-program unzstd\nReceived 69094681 of 69094681 (100.0%), 32.9 MBs/sec\nCache restored successfully\nCache restored from key: pre-commit-3\|/opt/hostedtoolcache/Python/3.9.18/x64\|2f6023be5c7e4f75d9ed9a00c3fcb4c3fa7d8493a70885078264f9accc27f632\n##[group]Run pre-commit run --show-diff-on-failure --color=always --all-files\n\u001b[36;1mpre-commit run --show-diff-on-failure --color=always --all-files\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nfix end of files.........................................................\u001b[42mPassed\u001b[m\ndebug statements (python)................................................\u001b[42mPassed\u001b[m\nabsolufy-imports.........................................................\u001b[42mPassed\u001b[m\nisort....................................................................\u001b[42mPassed\u001b[m\npyupgrade................................................................\u001b[42mPassed\u001b[m\nblack....................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: black\u001b[m\n\u001b[2m- files were modified by this hook\u001b[m\n\n\u001b[1mreformatted dask/utils.py\u001b[0m\n\n\u001b[1mAll done! ✨ 🍰 ✨\u001b[0m\n\u001b[34m\u001b[1m1 file \u001b[0m\u001b[1mreformatted\u001b[0m, \u001b[34m257 files \u001b[0mleft unchanged.\n\nflake8...................................................................\u001b[42mPassed\u001b[m\ncodespell................................................................\u001b[42mPassed\u001b[m\nmypy.....................................................................\u001b[41mFailed\u001b[m\n\u001b[2m- hook id: mypy\u001b[m\n\u001b[2m- exit code: 1\u001b[m\n\ndask/utils.py:231: error: Unsupported operand types for + (\"str\" and \"None\") [operator]\ndask/utils.py:231: note: Right operand is of type \"Optional[str]\"\ndask/utils.py:257: error: Unsupported operand types for + (\"str\" and \"None\") [operator]\ndask/utils.py:257: note: Right operand is of type \"Optional[str]\"\nFound 2 errors in 1 file (checked 258 source files)\n\npre-commit hook(s) made changes.\nIf you are seeing this message in CI, reproduce locally with: `pre-commit run --all-files`.\nTo run `pre-commit` as part of git workflow, use `pre-commit install`.\nAll changes made by hooks:\n\u001b[1mdiff --git a/dask/utils.py b/dask/utils.py\u001b[m\n\u001b[1mindex 80ea6e8..26f1176 100644\u001b[m\n\u001b[1m--- a/dask/utils.py\u001b[m\n\u001b[1m+++ b/dask/utils.py\u001b[m\n\u001b[36m@@ -148,7 +148,7 @@\u001b[m \u001b[mdef _deprecated_kwarg(\u001b[m\n new_arg_name: str \| None = None,\u001b[m\n mapping: Mapping[Any, Any] \| Callable[[Any], Any] \| None = None,\u001b[m\n stacklevel: int = 2,\u001b[m\n\u001b[31m- comment: str \| None = None\u001b[m\n\u001b[32m+\u001b[m\u001b[32m comment: str \| None = None,\u001b[m\n ) -> Callable[[F], F]:\u001b[m\n \"\"\"\u001b[m\n Decorator to deprecate a keyword argument of a function.\u001b[m\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/dask/utils.py b/dask/utils.py index 80ea6e8d6..0da2953c8 100644 --- a/dask/utils.py +++ b/dask/utils.py @@ -148,7 +148,7 @@ def _deprecated_kwarg( new_arg_name: str \| None = None, mapping: Mapping[Any, Any] \| Callable[[Any], Any] \| None = None, stacklevel: int = 2, - comment: str \| None = None + comment: str \| None = None, ) -> Callable[[F], F]: """ Decorator to deprecate a keyword argument of a function. @@ -219,7 +219,7 @@ def _deprecated_kwarg( "mapping from old to new argument values must be dict or callable!" ) - comment = f"\n{comment}" or "" + comment_ = f"\n{comment}" or "" def _deprecated_kwarg(func: F) -> F: @wraps(func) @@ -232,7 +232,7 @@ def _deprecated_kwarg( f"the {repr(old_arg_name)} keyword is deprecated and " "will be removed in a future version. Please take " f"steps to stop the use of {repr(old_arg_name)}" - ) + comment + ) + comment_ warnings.warn(msg, FutureWarning, stacklevel=stacklevel) kwargs[old_arg_name] = old_arg_value return func(args, *kwargs) @@ -254,7 +254,7 @@ def _deprecated_kwarg( f"use {repr(new_arg_name)} instead." ) - warnings.warn(msg + comment, FutureWarning, stacklevel=stacklevel) + warnings.warn(msg + comment_, FutureWarning, stacklevel=stacklevel) if kwargs.get(new_arg_name) is not None: msg = ( f"Can only specify {repr(old_arg_name)} "	0	[ "dask/utils.py" ]	https://github.com/dask/dask/tree/16a0c04d06205527ec5e379df2596b399ee5dadc	2024-01-22T11:17:55Z
Python	142	encode	starlette	use-future-annotations	Test Suite	test-suite.yml	.github/workflows/test-suite.yml	encode	e21f666b44b5c2ddf22f9a9d057787811dc92a30	8a72f6337b0620d7ec9e9d89cf116055c9aa52a1	--- name: Test Suite on: push: branches: ["master"] pull_request: branches: ["master"] jobs: tests: name: "Python ${{ matrix.python-version }}" runs-on: "ubuntu-latest" services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: matrix: python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"] steps: - uses: "actions/checkout@v4" - uses: "actions/setup-python@v5" with: python-version: "${{ matrix.python-version }}" allow-prereleases: true - name: "Install dependencies" run: "scripts/install" - name: "Run linting checks" run: "scripts/check" - name: "Build package & docs" run: "scripts/build" - name: "Run tests" run: "scripts/test" - name: "Enforce coverage" run: "scripts/coverage" env: PIP_INDEX_URL: http://localhost:8629/2024-01-20 UV_INDEX_URL: http://localhost:8629/2024-01-20	[ { "step_name": "Python 3.8/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\n+ ruff format --check --diff starlette tests\n67 files already formatted\n+ mypy starlette\nstarlette/concurrency.py:32: error: Need more than 1 value to unpack (2 expected) [misc]\nstarlette/_utils.py:77: error: X \| Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:12: error: X \| Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:13: error: X \| Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:13: error: \"dict\" is not subscriptable, use \"typing.Dict\" instead [misc]\nstarlette/exceptions.py:30: error: X \| Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:59: error: \"list\" is not subscriptable, use \"typing.List\" instead [misc]\nFound 7 errors in 3 files (checked 35 source files)\n##[error]Process completed with exit code 1.\n" }, { "step_name": "Python 3.9/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\n+ ruff format --check --diff starlette tests\n67 files already formatted\n+ mypy starlette\nstarlette/concurrency.py:32: error: Need more than 1 value to unpack (2 expected) [misc]\nstarlette/_utils.py:77: error: X \| Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:12: error: X \| Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:13: error: X \| Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:13: error: \"dict\" is not subscriptable, use \"typing.Dict\" instead [misc]\nstarlette/exceptions.py:30: error: X \| Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:59: error: \"list\" is not subscriptable, use \"typing.List\" instead [misc]\nFound 7 errors in 3 files (checked 35 source files)\n##[error]Process completed with exit code 1.\n" }, { "step_name": "Python 3.10/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\n+ ruff format --check --diff starlette tests\n67 files already formatted\n+ mypy starlette\nstarlette/concurrency.py:32: error: Need more than 1 value to unpack (2 expected) [misc]\nstarlette/_utils.py:77: error: X \| Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:12: error: X \| Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:13: error: X \| Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:13: error: \"dict\" is not subscriptable, use \"typing.Dict\" instead [misc]\nstarlette/exceptions.py:30: error: X \| Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:59: error: \"list\" is not subscriptable, use \"typing.List\" instead [misc]\nFound 7 errors in 3 files (checked 35 source files)\n##[error]Process completed with exit code 1.\n" }, { "step_name": "Python 3.11/5_Run linting checks.txt", "log": "##[group]Run scripts/check\n\u001b[36;1mscripts/check\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n+ ./scripts/sync-version\n+ ruff format --check --diff starlette tests\n67 files already formatted\n+ mypy starlette\nstarlette/concurrency.py:32: error: Need more than 1 value to unpack (2 expected) [misc]\nstarlette/_utils.py:77: error: X \| Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:12: error: X \| Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:13: error: X \| Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:13: error: \"dict\" is not subscriptable, use \"typing.Dict\" instead [misc]\nstarlette/exceptions.py:30: error: X \| Y syntax for unions requires Python 3.10 [syntax]\nstarlette/exceptions.py:59: error: \"list\" is not subscriptable, use \"typing.List\" instead [misc]\nFound 7 errors in 3 files (checked 35 source files)\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/starlette/_utils.py b/starlette/_utils.py index 2e7981f..42777c5 100644 --- a/starlette/_utils.py +++ b/starlette/_utils.py @@ -1,3 +1,5 @@ +from __future__ import annotations + import asyncio import functools import re diff --git a/starlette/concurrency.py b/starlette/concurrency.py index e9ca46c..215e3a6 100644 --- a/starlette/concurrency.py +++ b/starlette/concurrency.py @@ -16,7 +16,7 @@ P = ParamSpec("P") T = typing.TypeVar("T") -async def run_until_first_complete(args: tuple[typing.Callable \| dict]) -> None: # type: ignore[type-arg] # noqa: E501 +async def run_until_first_complete(args: tuple[typing.Callable, dict]) -> None: # type: ignore[type-arg] # noqa: E501 warnings.warn( "run_until_first_complete is deprecated " "and will be removed in a future version.", diff --git a/starlette/exceptions.py b/starlette/exceptions.py index e6d0b8a..bd3352e 100644 --- a/starlette/exceptions.py +++ b/starlette/exceptions.py @@ -1,3 +1,5 @@ +from __future__ import annotations + import http import typing import warnings	2	[ "starlette/_utils.py", "starlette/concurrency.py", "starlette/exceptions.py" ]	https://github.com/encode/starlette/tree/e21f666b44b5c2ddf22f9a9d057787811dc92a30	2024-01-20T12:59:47Z
Python	143	encode	starlette	master	Test Suite	test-suite.yml	.github/workflows/test-suite.yml	nicolaipre	cc0b066c05947c2a356d063d0137685205709c3e	866a15f79c7f15b5dba695ed2180922b7191a19e	--- name: Test Suite on: push: branches: ["master"] pull_request: branches: ["master"] jobs: tests: name: "Python ${{ matrix.python-version }}" runs-on: "ubuntu-latest" services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: matrix: python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"] steps: - uses: "actions/checkout@v4" - uses: "actions/setup-python@v4" with: python-version: "${{ matrix.python-version }}" allow-prereleases: true - name: "Install dependencies" run: "scripts/install" - name: "Run linting checks" run: "scripts/check" - name: "Build package & docs" run: "scripts/build" - name: "Run tests" run: "scripts/test" - name: "Enforce coverage" run: "scripts/coverage" env: PIP_INDEX_URL: http://localhost:8629/2023-12-17 UV_INDEX_URL: http://localhost:8629/2023-12-17	[ { "step_name": "Python 3.9/7_Run tests.txt", "log": "##[group]Run scripts/test\n\u001b[36;1mscripts/test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n+ [ -z true ]\n+ coverage run -m pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.0, pluggy-1.3.0\nrootdir: /home/runner/work/starlette/starlette\nconfigfile: pyproject.toml\nplugins: anyio-4.0.0\ncollected 773 items\n\ntests/test__utils.py ...... [ 0%]\ntests/test_applications.py ....FF....................FF................. [ 6%]\n... [ 6%]\ntests/test_authentication.py ........... [ 8%]\ntests/test_background.py ........ [ 9%]\ntests/test_concurrency.py .... [ 9%]\ntests/test_config.py .... [ 10%]\ntests/test_convertors.py ...... [ 11%]\ntests/test_datastructures.py .............................. [ 15%]\ntests/test_endpoints.py .................... [ 17%]\ntests/test_exceptions.py ..................... [ 20%]\ntests/test_formparsers.py .............................................. [ 26%]\n...................... [ 29%]\ntests/test_requests.py ................................................. [ 35%]\n.............................. [ 39%]\ntests/test_responses.py ................................................ [ 45%]\n................ [ 47%]\ntests/test_routing.py F..........F...........FFF..FFF.FF..........F..... [ 54%]\n......FFF..FFF.F....................... [ 59%]\ntests/test_schemas.py ... [ 59%]\ntests/test_staticfiles.py .............................................. [ 65%]\n...... [ 66%]\ntests/test_status.py .. [ 66%]\ntests/test_templates.py ....................... [ 69%]\ntests/test_testclient.py ...........x..................x........ [ 74%]\ntests/test_websockets.py ............................................... [ 80%]\n.................. [ 83%]\ntests/middleware/test_base.py .....x......................x............. [ 88%]\n..... [ 89%]\ntests/middleware/test_cors.py .............................. [ 93%]\ntests/middleware/test_errors.py ............ [ 94%]\ntests/middleware/test_gzip.py .......... [ 95%]\ntests/middleware/test_https_redirect.py .. [ 96%]\ntests/middleware/test_middleware.py . [ 96%]\ntests/middleware/test_session.py ...F......F... [ 98%]\ntests/middleware/test_trusted_host.py ..... [ 98%]\ntests/middleware/test_wsgi.py .......... [100%]\n\n=================================== FAILURES ===================================\n_________________________ test_mounted_route[asyncio] __________________________\n\nclient = <starlette.testclient.TestClient object at 0x7f04c33df310>\n\n def test_mounted_route(client):\n response = client.get(\"/users/\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_applications.py:163: AssertionError\n___________________ test_mounted_route_path_params[asyncio] ____________________\n\nclient = <starlette.testclient.TestClient object at 0x7f04c325ae50>\n\n def test_mounted_route_path_params(client):\n response = client.get(\"/users/tomchristie\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_applications.py:169: AssertionError\n___________________________ test_mounted_route[trio] ___________________________\n\nclient = <starlette.testclient.TestClient object at 0x7f04c2f96370>\n\n def test_mounted_route(client):\n response = client.get(\"/users/\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_applications.py:163: AssertionError\n_____________________ test_mounted_route_path_params[trio] _____________________\n\nclient = <starlette.testclient.TestClient object at 0x7f04c2e6f370>\n\n def test_mounted_route_path_params(client):\n response = client.get(\"/users/tomchristie\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_applications.py:169: AssertionError\n_____________________________ test_router[asyncio] _____________________________\n\nclient = <starlette.testclient.TestClient object at 0x7f04c35ee790>\n\n @pytest.mark.filterwarnings(\n r\"ignore\"\n r\":Trying to detect encoding from a tiny portion of \$5\$ byte\$s\$\\.\"\n r\":UserWarning\"\n r\":charset_normalizer.api\"\n )\n def test_router(client: TestClient):\n response = client.get(\"/\")\n assert response.status_code == 200\n assert response.text == \"Hello, world\"\n \n response = client.post(\"/\")\n assert response.status_code == 405\n assert response.text == \"Method Not Allowed\"\n assert set(response.headers[\"allow\"].split(\", \")) == {\"HEAD\", \"GET\"}\n \n response = client.get(\"/foo\")\n assert response.status_code == 404\n assert response.text == \"Not Found\"\n \n response = client.get(\"/users\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:188: AssertionError\n_____________________ test_url_for_with_root_path[asyncio] _____________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='asyncio', backend_options={})\n\n def test_url_for_with_root_path(test_client_factory):\n app = Starlette(routes=echo_url_routes)\n client = test_client_factory(\n app, base_url=\"https://www.example.org/\", root_path=\"/sub_path\"\n )\n response = client.get(\"/\")\n assert response.json() == {\n \"index\": \"https://www.example.org/sub_path/\",\n \"submount\": \"https://www.example.org/sub_path/submount/\",\n }\n response = client.get(\"/submount/\")\n> assert response.json() == {\n \"index\": \"https://www.example.org/sub_path/\",\n \"submount\": \"https://www.example.org/sub_path/submount/\",\n }\n\ntests/test_routing.py:572: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_models.py:761: in json\n return jsonlib.loads(self.content, kwargs)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/json/__init__.py:346: in loads\n return _default_decoder.decode(s)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/json/decoder.py:337: in decode\n obj, end = self.raw_decode(s, idx=_w(s, 0).end())\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <json.decoder.JSONDecoder object at 0x7f04c553ea30>, s = 'Not Found'\nidx = 0\n\n def raw_decode(self, s, idx=0):\n \"\"\"Decode a JSON document from ``s`` (a ``str`` beginning with\n a JSON document) and return a 2-tuple of the Python\n representation and the index in ``s`` where the document ended.\n \n This can be used to decode a JSON document from a string that may\n have extraneous data at the end.\n \n \"\"\"\n try:\n obj, end = self.scan_once(s, idx)\n except StopIteration as err:\n> raise JSONDecodeError(\"Expecting value\", s, err.value) from None\nE json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/json/decoder.py:355: JSONDecodeError\n_____________________ test_partial_async_endpoint[asyncio] _____________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='asyncio', backend_options={})\n\n def test_partial_async_endpoint(test_client_factory):\n test_client = test_client_factory(app)\n response = test_client.get(\"/partial\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:854: AssertionError\n___________________ test_partial_async_ws_endpoint[asyncio] ____________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='asyncio', backend_options={})\n\n def test_partial_async_ws_endpoint(test_client_factory):\n test_client = test_client_factory(app)\n> with test_client.websocket_connect(\"/partial/ws\") as websocket:\n\ntests/test_routing.py:864: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nstarlette/testclient.py:94: in __enter__\n self._raise_on_close(message)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <starlette.testclient.WebSocketTestSession object at 0x7f04c0434790>\nmessage = {'code': 1000, 'reason': '', 'type': 'websocket.close'}\n\n def _raise_on_close(self, message: Message) -> None:\n if message[\"type\"] == \"websocket.close\":\n> raise WebSocketDisconnect(\n message.get(\"code\", 1000), message.get(\"reason\", \"\")\n )\nE starlette.websockets.WebSocketDisconnect: (1000, '')\n\nstarlette/testclient.py:135: WebSocketDisconnect\n___________________ test_base_route_middleware[asyncio-app0] ___________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='asyncio', backend_options={})\napp = <starlette.applications.Starlette object at 0x7f04c35f94c0>\n\n @pytest.mark.parametrize(\n \"app\",\n [\n mounted_routes_with_middleware,\n mounted_app_with_middleware,\n route_with_middleware,\n ],\n )\n def test_base_route_middleware(\n test_client_factory: typing.Callable[..., TestClient],\n app: Starlette,\n ) -> None:\n test_client = test_client_factory(app)\n \n response = test_client.get(\"/home\")\n assert response.status_code == 200\n assert \"X-Test\" not in response.headers\n \n response = test_client.get(\"/http\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:1009: AssertionError\n__________________ test_add_route_to_app_after_mount[asyncio] __________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='asyncio', backend_options={})\n\n def test_add_route_to_app_after_mount(\n test_client_factory: typing.Callable[..., TestClient],\n ) -> None:\n \"\"\"Checks that Mount will pick up routes\n added to the underlying app after it is mounted\n \"\"\"\n inner_app = Router()\n app = Mount(\"/http\", app=inner_app)\n inner_app.add_route(\n \"/inner\",\n endpoint=homepage,\n methods=[\"GET\"],\n )\n client = test_client_factory(app)\n response = client.get(\"/http/inner\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:1041: AssertionError\n___________________ test_exception_on_mounted_apps[asyncio] ____________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='asyncio', backend_options={})\n\n def test_exception_on_mounted_apps(test_client_factory):\n def exc(request):\n raise Exception(\"Exc\")\n \n sub_app = Starlette(routes=[Route(\"/\", exc)])\n app = Starlette(routes=[Mount(\"/sub\", app=sub_app)])\n \n client = test_client_factory(app)\n with pytest.raises(Exception) as ctx:\n> client.get(\"/sub/\")\nE Failed: DID NOT RAISE <class 'Exception'>\n\ntests/test_routing.py:1053: Failed\n__________ test_mounted_middleware_does_not_catch_exception[asyncio] ___________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='asyncio', backend_options={})\n\n def test_mounted_middleware_does_not_catch_exception(\n test_client_factory: typing.Callable[..., TestClient],\n ) -> None:\n # https://github.com/encode/starlette/pull/1649#discussion_r960236107\n def exc(request: Request) -> Response:\n raise HTTPException(status_code=403, detail=\"auth\")\n \n class NamedMiddleware:\n def __init__(self, app: ASGIApp, name: str) -> None:\n self.app = app\n self.name = name\n \n async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None:\n async def modified_send(msg: Message) -> None:\n if msg[\"type\"] == \"http.response.start\":\n msg[\"headers\"].append((f\"X-{self.name}\".encode(), b\"true\"))\n await send(msg)\n \n await self.app(scope, receive, modified_send)\n \n app = Starlette(\n routes=[\n Mount(\n \"/mount\",\n routes=[\n Route(\"/err\", exc),\n Route(\"/home\", homepage),\n ],\n middleware=[Middleware(NamedMiddleware, name=\"Mounted\")],\n ),\n Route(\"/err\", exc),\n Route(\"/home\", homepage),\n ],\n middleware=[Middleware(NamedMiddleware, name=\"Outer\")],\n )\n \n client = test_client_factory(app)\n \n resp = client.get(\"/home\")\n assert resp.status_code == 200, resp.content\n assert \"X-Outer\" in resp.headers\n \n resp = client.get(\"/err\")\n assert resp.status_code == 403, resp.content\n assert \"X-Outer\" in resp.headers\n \n resp = client.get(\"/mount/home\")\n> assert resp.status_code == 200, resp.content\nE AssertionError: b'Not Found'\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:1104: AssertionError\n______________________ test_paths_with_root_path[asyncio] ______________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='asyncio', backend_options={})\n\n def test_paths_with_root_path(test_client_factory: typing.Callable[..., TestClient]):\n app = Starlette(routes=echo_paths_routes)\n client = test_client_factory(\n app, base_url=\"https://www.example.org/\", root_path=\"/root\"\n )\n response = client.get(\"/root/path\")\n assert response.status_code == 200\n assert response.json() == {\n \"name\": \"path\",\n \"path\": \"/root/path\",\n \"root_path\": \"/root\",\n }\n \n response = client.get(\"/root/root/path\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:1281: AssertionError\n______________________________ test_router[trio] _______________________________\n\nclient = <starlette.testclient.TestClient object at 0x7f04c301bf10>\n\n @pytest.mark.filterwarnings(\n r\"ignore\"\n r\":Trying to detect encoding from a tiny portion of \$5\$ byte\$s\$\\.\"\n r\":UserWarning\"\n r\":charset_normalizer.api\"\n )\n def test_router(client: TestClient):\n response = client.get(\"/\")\n assert response.status_code == 200\n assert response.text == \"Hello, world\"\n \n response = client.post(\"/\")\n assert response.status_code == 405\n assert response.text == \"Method Not Allowed\"\n assert set(response.headers[\"allow\"].split(\", \")) == {\"HEAD\", \"GET\"}\n \n response = client.get(\"/foo\")\n assert response.status_code == 404\n assert response.text == \"Not Found\"\n \n response = client.get(\"/users\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:188: AssertionError\n______________________ test_url_for_with_root_path[trio] _______________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='trio', backend_options={})\n\n def test_url_for_with_root_path(test_client_factory):\n app = Starlette(routes=echo_url_routes)\n client = test_client_factory(\n app, base_url=\"https://www.example.org/\", root_path=\"/sub_path\"\n )\n response = client.get(\"/\")\n assert response.json() == {\n \"index\": \"https://www.example.org/sub_path/\",\n \"submount\": \"https://www.example.org/sub_path/submount/\",\n }\n response = client.get(\"/submount/\")\n> assert response.json() == {\n \"index\": \"https://www.example.org/sub_path/\",\n \"submount\": \"https://www.example.org/sub_path/submount/\",\n }\n\ntests/test_routing.py:572: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_models.py:761: in json\n return jsonlib.loads(self.content, kwargs)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/json/__init__.py:346: in loads\n return _default_decoder.decode(s)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/json/decoder.py:337: in decode\n obj, end = self.raw_decode(s, idx=_w(s, 0).end())\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <json.decoder.JSONDecoder object at 0x7f04c553ea30>, s = 'Not Found'\nidx = 0\n\n def raw_decode(self, s, idx=0):\n \"\"\"Decode a JSON document from ``s`` (a ``str`` beginning with\n a JSON document) and return a 2-tuple of the Python\n representation and the index in ``s`` where the document ended.\n \n This can be used to decode a JSON document from a string that may\n have extraneous data at the end.\n \n \"\"\"\n try:\n obj, end = self.scan_once(s, idx)\n except StopIteration as err:\n> raise JSONDecodeError(\"Expecting value\", s, err.value) from None\nE json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/json/decoder.py:355: JSONDecodeError\n______________________ test_partial_async_endpoint[trio] _______________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='trio', backend_options={})\n\n def test_partial_async_endpoint(test_client_factory):\n test_client = test_client_factory(app)\n response = test_client.get(\"/partial\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:854: AssertionError\n_____________________ test_partial_async_ws_endpoint[trio] _____________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='trio', backend_options={})\n\n def test_partial_async_ws_endpoint(test_client_factory):\n test_client = test_client_factory(app)\n> with test_client.websocket_connect(\"/partial/ws\") as websocket:\n\ntests/test_routing.py:864: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nstarlette/testclient.py:94: in __enter__\n self._raise_on_close(message)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <starlette.testclient.WebSocketTestSession object at 0x7f04c08242b0>\nmessage = {'code': 1000, 'reason': '', 'type': 'websocket.close'}\n\n def _raise_on_close(self, message: Message) -> None:\n if message[\"type\"] == \"websocket.close\":\n> raise WebSocketDisconnect(\n message.get(\"code\", 1000), message.get(\"reason\", \"\")\n )\nE starlette.websockets.WebSocketDisconnect: (1000, '')\n\nstarlette/testclient.py:135: WebSocketDisconnect\n____________________ test_base_route_middleware[trio-app0] _____________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='trio', backend_options={})\napp = <starlette.applications.Starlette object at 0x7f04c35f94c0>\n\n @pytest.mark.parametrize(\n \"app\",\n [\n mounted_routes_with_middleware,\n mounted_app_with_middleware,\n route_with_middleware,\n ],\n )\n def test_base_route_middleware(\n test_client_factory: typing.Callable[..., TestClient],\n app: Starlette,\n ) -> None:\n test_client = test_client_factory(app)\n \n response = test_client.get(\"/home\")\n assert response.status_code == 200\n assert \"X-Test\" not in response.headers\n \n response = test_client.get(\"/http\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:1009: AssertionError\n___________________ test_add_route_to_app_after_mount[trio] ____________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='trio', backend_options={})\n\n def test_add_route_to_app_after_mount(\n test_client_factory: typing.Callable[..., TestClient],\n ) -> None:\n \"\"\"Checks that Mount will pick up routes\n added to the underlying app after it is mounted\n \"\"\"\n inner_app = Router()\n app = Mount(\"/http\", app=inner_app)\n inner_app.add_route(\n \"/inner\",\n endpoint=homepage,\n methods=[\"GET\"],\n )\n client = test_client_factory(app)\n response = client.get(\"/http/inner\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:1041: AssertionError\n_____________________ test_exception_on_mounted_apps[trio] _____________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='trio', backend_options={})\n\n def test_exception_on_mounted_apps(test_client_factory):\n def exc(request):\n raise Exception(\"Exc\")\n \n sub_app = Starlette(routes=[Route(\"/\", exc)])\n app = Starlette(routes=[Mount(\"/sub\", app=sub_app)])\n \n client = test_client_factory(app)\n with pytest.raises(Exception) as ctx:\n> client.get(\"/sub/\")\nE Failed: DID NOT RAISE <class 'Exception'>\n\ntests/test_routing.py:1053: Failed\n____________ test_mounted_middleware_does_not_catch_exception[trio] ____________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='trio', backend_options={})\n\n def test_mounted_middleware_does_not_catch_exception(\n test_client_factory: typing.Callable[..., TestClient],\n ) -> None:\n # https://github.com/encode/starlette/pull/1649#discussion_r960236107\n def exc(request: Request) -> Response:\n raise HTTPException(status_code=403, detail=\"auth\")\n \n class NamedMiddleware:\n def __init__(self, app: ASGIApp, name: str) -> None:\n self.app = app\n self.name = name\n \n async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None:\n async def modified_send(msg: Message) -> None:\n if msg[\"type\"] == \"http.response.start\":\n msg[\"headers\"].append((f\"X-{self.name}\".encode(), b\"true\"))\n await send(msg)\n \n await self.app(scope, receive, modified_send)\n \n app = Starlette(\n routes=[\n Mount(\n \"/mount\",\n routes=[\n Route(\"/err\", exc),\n Route(\"/home\", homepage),\n ],\n middleware=[Middleware(NamedMiddleware, name=\"Mounted\")],\n ),\n Route(\"/err\", exc),\n Route(\"/home\", homepage),\n ],\n middleware=[Middleware(NamedMiddleware, name=\"Outer\")],\n )\n \n client = test_client_factory(app)\n \n resp = client.get(\"/home\")\n assert resp.status_code == 200, resp.content\n assert \"X-Outer\" in resp.headers\n \n resp = client.get(\"/err\")\n assert resp.status_code == 403, resp.content\n assert \"X-Outer\" in resp.headers\n \n resp = client.get(\"/mount/home\")\n> assert resp.status_code == 200, resp.content\nE AssertionError: b'Not Found'\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:1104: AssertionError\n_______________________ test_paths_with_root_path[trio] ________________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='trio', backend_options={})\n\n def test_paths_with_root_path(test_client_factory: typing.Callable[..., TestClient]):\n app = Starlette(routes=echo_paths_routes)\n client = test_client_factory(\n app, base_url=\"https://www.example.org/\", root_path=\"/root\"\n )\n response = client.get(\"/root/path\")\n assert response.status_code == 200\n assert response.json() == {\n \"name\": \"path\",\n \"path\": \"/root/path\",\n \"root_path\": \"/root\",\n }\n \n response = client.get(\"/root/root/path\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:1281: AssertionError\n_____________________ test_session_cookie_subpath[asyncio] _____________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='asyncio', backend_options={})\n\n def test_session_cookie_subpath(test_client_factory):\n second_app = Starlette(\n routes=[\n Route(\"/update_session\", endpoint=update_session, methods=[\"POST\"]),\n ],\n middleware=[\n Middleware(SessionMiddleware, secret_key=\"example\", path=\"/second_app\")\n ],\n )\n app = Starlette(routes=[Mount(\"/second_app\", app=second_app)])\n client = test_client_factory(app, base_url=\"http://testserver/second_app\")\n response = client.post(\"/update_session\", json={\"some\": \"data\"})\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/middleware/test_session.py:134: AssertionError\n______________________ test_session_cookie_subpath[trio] _______________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='trio', backend_options={})\n\n def test_session_cookie_subpath(test_client_factory):\n second_app = Starlette(\n routes=[\n Route(\"/update_session\", endpoint=update_session, methods=[\"POST\"]),\n ],\n middleware=[\n Middleware(SessionMiddleware, secret_key=\"example\", path=\"/second_app\")\n ],\n )\n app = Starlette(routes=[Mount(\"/second_app\", app=second_app)])\n client = test_client_factory(app, base_url=\"http://testserver/second_app\")\n response = client.post(\"/update_session\", json={\"some\": \"data\"})\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/middleware/test_session.py:134: AssertionError\n=========================== short test summary info ============================\nXFAIL tests/test_testclient.py::test_domain_restricted_cookies[asyncio-testserver-True] - Fails due to domain handling in http.cookiejar module (see #2152)\nXFAIL tests/test_testclient.py::test_domain_restricted_cookies[trio-testserver-True] - Fails due to domain handling in http.cookiejar module (see #2152)\nXFAIL tests/middleware/test_base.py::test_contextvars[asyncio-CustomMiddlewareUsingBaseHTTPMiddleware] - BaseHTTPMiddleware creates a TaskGroup which copies the contextand erases any changes to it made within the TaskGroup\nXFAIL tests/middleware/test_base.py::test_contextvars[trio-CustomMiddlewareUsingBaseHTTPMiddleware] - BaseHTTPMiddleware creates a TaskGroup which copies the contextand erases any changes to it made within the TaskGroup\n================== 24 failed, 745 passed, 4 xfailed in 30.92s ==================\n##[error]Process completed with exit code 1.\n" }, { "step_name": "Python 3.11/7_Run tests.txt", "log": "##[group]Run scripts/test\n\u001b[36;1mscripts/test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n+ [ -z true ]\n+ coverage run -m pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.11.7, pytest-7.4.0, pluggy-1.3.0\nrootdir: /home/runner/work/starlette/starlette\nconfigfile: pyproject.toml\nplugins: anyio-4.0.0\ncollected 773 items\n\ntests/test__utils.py ...... [ 0%]\ntests/test_applications.py ....FF....................FF................. [ 6%]\n... [ 6%]\ntests/test_authentication.py ........... [ 8%]\ntests/test_background.py ........ [ 9%]\ntests/test_concurrency.py .... [ 9%]\ntests/test_config.py .... [ 10%]\ntests/test_convertors.py ...... [ 11%]\ntests/test_datastructures.py .............................. [ 15%]\ntests/test_endpoints.py .................... [ 17%]\ntests/test_exceptions.py ..................... [ 20%]\ntests/test_formparsers.py .............................................. [ 26%]\n...................... [ 29%]\ntests/test_requests.py ................................................. [ 35%]\n.............................. [ 39%]\ntests/test_responses.py ................................................ [ 45%]\n................ [ 47%]\ntests/test_routing.py F..........F...........FFF..FFF.FF..........F..... [ 54%]\n......FFF..FFF.F....................... [ 59%]\ntests/test_schemas.py ... [ 59%]\ntests/test_staticfiles.py .............................................. [ 65%]\n...... [ 66%]\ntests/test_status.py .. [ 66%]\ntests/test_templates.py ....................... [ 69%]\ntests/test_testclient.py ....................................... [ 74%]\ntests/test_websockets.py ............................................... [ 80%]\n.................. [ 83%]\ntests/middleware/test_base.py .....x......................x............. [ 88%]\n..... [ 89%]\ntests/middleware/test_cors.py .............................. [ 93%]\ntests/middleware/test_errors.py ............ [ 94%]\ntests/middleware/test_gzip.py .......... [ 95%]\ntests/middleware/test_https_redirect.py .. [ 96%]\ntests/middleware/test_middleware.py . [ 96%]\ntests/middleware/test_session.py ...F......F... [ 98%]\ntests/middleware/test_trusted_host.py ..... [ 98%]\ntests/middleware/test_wsgi.py .......... [100%]\n\n=================================== FAILURES ===================================\n_________________________ test_mounted_route[asyncio] __________________________\n\nclient = <starlette.testclient.TestClient object at 0x7fab39555ed0>\n\n def test_mounted_route(client):\n response = client.get(\"/users/\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_applications.py:163: AssertionError\n___________________ test_mounted_route_path_params[asyncio] ____________________\n\nclient = <starlette.testclient.TestClient object at 0x7fab393e73d0>\n\n def test_mounted_route_path_params(client):\n response = client.get(\"/users/tomchristie\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_applications.py:169: AssertionError\n___________________________ test_mounted_route[trio] ___________________________\n\nclient = <starlette.testclient.TestClient object at 0x7fab3923a5d0>\n\n def test_mounted_route(client):\n response = client.get(\"/users/\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_applications.py:163: AssertionError\n_____________________ test_mounted_route_path_params[trio] _____________________\n\nclient = <starlette.testclient.TestClient object at 0x7fab392e5a10>\n\n def test_mounted_route_path_params(client):\n response = client.get(\"/users/tomchristie\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_applications.py:169: AssertionError\n_____________________________ test_router[asyncio] _____________________________\n\nclient = <starlette.testclient.TestClient object at 0x7fab3996fb90>\n\n @pytest.mark.filterwarnings(\n r\"ignore\"\n r\":Trying to detect encoding from a tiny portion of \$5\$ byte\$s\$\\.\"\n r\":UserWarning\"\n r\":charset_normalizer.api\"\n )\n def test_router(client: TestClient):\n response = client.get(\"/\")\n assert response.status_code == 200\n assert response.text == \"Hello, world\"\n \n response = client.post(\"/\")\n assert response.status_code == 405\n assert response.text == \"Method Not Allowed\"\n assert set(response.headers[\"allow\"].split(\", \")) == {\"HEAD\", \"GET\"}\n \n response = client.get(\"/foo\")\n assert response.status_code == 404\n assert response.text == \"Not Found\"\n \n response = client.get(\"/users\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:188: AssertionError\n_____________________ test_url_for_with_root_path[asyncio] _____________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='asyncio', backend_options={})\n\n def test_url_for_with_root_path(test_client_factory):\n app = Starlette(routes=echo_url_routes)\n client = test_client_factory(\n app, base_url=\"https://www.example.org/\", root_path=\"/sub_path\"\n )\n response = client.get(\"/\")\n assert response.json() == {\n \"index\": \"https://www.example.org/sub_path/\",\n \"submount\": \"https://www.example.org/sub_path/submount/\",\n }\n response = client.get(\"/submount/\")\n> assert response.json() == {\n \"index\": \"https://www.example.org/sub_path/\",\n \"submount\": \"https://www.example.org/sub_path/submount/\",\n }\n\ntests/test_routing.py:572: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_models.py:761: in json\n return jsonlib.loads(self.content, kwargs)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/json/__init__.py:346: in loads\n return _default_decoder.decode(s)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/json/decoder.py:337: in decode\n obj, end = self.raw_decode(s, idx=_w(s, 0).end())\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <json.decoder.JSONDecoder object at 0x7fab3bb03a90>, s = 'Not Found'\nidx = 0\n\n def raw_decode(self, s, idx=0):\n \"\"\"Decode a JSON document from ``s`` (a ``str`` beginning with\n a JSON document) and return a 2-tuple of the Python\n representation and the index in ``s`` where the document ended.\n \n This can be used to decode a JSON document from a string that may\n have extraneous data at the end.\n \n \"\"\"\n try:\n obj, end = self.scan_once(s, idx)\n except StopIteration as err:\n> raise JSONDecodeError(\"Expecting value\", s, err.value) from None\nE json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/json/decoder.py:355: JSONDecodeError\n_____________________ test_partial_async_endpoint[asyncio] _____________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='asyncio', backend_options={})\n\n def test_partial_async_endpoint(test_client_factory):\n test_client = test_client_factory(app)\n response = test_client.get(\"/partial\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:854: AssertionError\n___________________ test_partial_async_ws_endpoint[asyncio] ____________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='asyncio', backend_options={})\n\n def test_partial_async_ws_endpoint(test_client_factory):\n test_client = test_client_factory(app)\n> with test_client.websocket_connect(\"/partial/ws\") as websocket:\n\ntests/test_routing.py:864: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nstarlette/testclient.py:94: in __enter__\n self._raise_on_close(message)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <starlette.testclient.WebSocketTestSession object at 0x7fab34c90310>\nmessage = {'code': 1000, 'reason': '', 'type': 'websocket.close'}\n\n def _raise_on_close(self, message: Message) -> None:\n if message[\"type\"] == \"websocket.close\":\n> raise WebSocketDisconnect(\n message.get(\"code\", 1000), message.get(\"reason\", \"\")\n )\nE starlette.websockets.WebSocketDisconnect: (1000, '')\n\nstarlette/testclient.py:135: WebSocketDisconnect\n___________________ test_base_route_middleware[asyncio-app0] ___________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='asyncio', backend_options={})\napp = <starlette.applications.Starlette object at 0x7fab394a5250>\n\n @pytest.mark.parametrize(\n \"app\",\n [\n mounted_routes_with_middleware,\n mounted_app_with_middleware,\n route_with_middleware,\n ],\n )\n def test_base_route_middleware(\n test_client_factory: typing.Callable[..., TestClient],\n app: Starlette,\n ) -> None:\n test_client = test_client_factory(app)\n \n response = test_client.get(\"/home\")\n assert response.status_code == 200\n assert \"X-Test\" not in response.headers\n \n response = test_client.get(\"/http\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:1009: AssertionError\n__________________ test_add_route_to_app_after_mount[asyncio] __________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='asyncio', backend_options={})\n\n def test_add_route_to_app_after_mount(\n test_client_factory: typing.Callable[..., TestClient],\n ) -> None:\n \"\"\"Checks that Mount will pick up routes\n added to the underlying app after it is mounted\n \"\"\"\n inner_app = Router()\n app = Mount(\"/http\", app=inner_app)\n inner_app.add_route(\n \"/inner\",\n endpoint=homepage,\n methods=[\"GET\"],\n )\n client = test_client_factory(app)\n response = client.get(\"/http/inner\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:1041: AssertionError\n___________________ test_exception_on_mounted_apps[asyncio] ____________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='asyncio', backend_options={})\n\n def test_exception_on_mounted_apps(test_client_factory):\n def exc(request):\n raise Exception(\"Exc\")\n \n sub_app = Starlette(routes=[Route(\"/\", exc)])\n app = Starlette(routes=[Mount(\"/sub\", app=sub_app)])\n \n client = test_client_factory(app)\n> with pytest.raises(Exception) as ctx:\nE Failed: DID NOT RAISE <class 'Exception'>\n\ntests/test_routing.py:1052: Failed\n__________ test_mounted_middleware_does_not_catch_exception[asyncio] ___________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='asyncio', backend_options={})\n\n def test_mounted_middleware_does_not_catch_exception(\n test_client_factory: typing.Callable[..., TestClient],\n ) -> None:\n # https://github.com/encode/starlette/pull/1649#discussion_r960236107\n def exc(request: Request) -> Response:\n raise HTTPException(status_code=403, detail=\"auth\")\n \n class NamedMiddleware:\n def __init__(self, app: ASGIApp, name: str) -> None:\n self.app = app\n self.name = name\n \n async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None:\n async def modified_send(msg: Message) -> None:\n if msg[\"type\"] == \"http.response.start\":\n msg[\"headers\"].append((f\"X-{self.name}\".encode(), b\"true\"))\n await send(msg)\n \n await self.app(scope, receive, modified_send)\n \n app = Starlette(\n routes=[\n Mount(\n \"/mount\",\n routes=[\n Route(\"/err\", exc),\n Route(\"/home\", homepage),\n ],\n middleware=[Middleware(NamedMiddleware, name=\"Mounted\")],\n ),\n Route(\"/err\", exc),\n Route(\"/home\", homepage),\n ],\n middleware=[Middleware(NamedMiddleware, name=\"Outer\")],\n )\n \n client = test_client_factory(app)\n \n resp = client.get(\"/home\")\n assert resp.status_code == 200, resp.content\n assert \"X-Outer\" in resp.headers\n \n resp = client.get(\"/err\")\n assert resp.status_code == 403, resp.content\n assert \"X-Outer\" in resp.headers\n \n resp = client.get(\"/mount/home\")\n> assert resp.status_code == 200, resp.content\nE AssertionError: b'Not Found'\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:1104: AssertionError\n______________________ test_paths_with_root_path[asyncio] ______________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='asyncio', backend_options={})\n\n def test_paths_with_root_path(test_client_factory: typing.Callable[..., TestClient]):\n app = Starlette(routes=echo_paths_routes)\n client = test_client_factory(\n app, base_url=\"https://www.example.org/\", root_path=\"/root\"\n )\n response = client.get(\"/root/path\")\n assert response.status_code == 200\n assert response.json() == {\n \"name\": \"path\",\n \"path\": \"/root/path\",\n \"root_path\": \"/root\",\n }\n \n response = client.get(\"/root/root/path\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:1281: AssertionError\n______________________________ test_router[trio] _______________________________\n\nclient = <starlette.testclient.TestClient object at 0x7fab34ac7790>\n\n @pytest.mark.filterwarnings(\n r\"ignore\"\n r\":Trying to detect encoding from a tiny portion of \$5\$ byte\$s\$\\.\"\n r\":UserWarning\"\n r\":charset_normalizer.api\"\n )\n def test_router(client: TestClient):\n response = client.get(\"/\")\n assert response.status_code == 200\n assert response.text == \"Hello, world\"\n \n response = client.post(\"/\")\n assert response.status_code == 405\n assert response.text == \"Method Not Allowed\"\n assert set(response.headers[\"allow\"].split(\", \")) == {\"HEAD\", \"GET\"}\n \n response = client.get(\"/foo\")\n assert response.status_code == 404\n assert response.text == \"Not Found\"\n \n response = client.get(\"/users\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:188: AssertionError\n______________________ test_url_for_with_root_path[trio] _______________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='trio', backend_options={})\n\n def test_url_for_with_root_path(test_client_factory):\n app = Starlette(routes=echo_url_routes)\n client = test_client_factory(\n app, base_url=\"https://www.example.org/\", root_path=\"/sub_path\"\n )\n response = client.get(\"/\")\n assert response.json() == {\n \"index\": \"https://www.example.org/sub_path/\",\n \"submount\": \"https://www.example.org/sub_path/submount/\",\n }\n response = client.get(\"/submount/\")\n> assert response.json() == {\n \"index\": \"https://www.example.org/sub_path/\",\n \"submount\": \"https://www.example.org/sub_path/submount/\",\n }\n\ntests/test_routing.py:572: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_models.py:761: in json\n return jsonlib.loads(self.content, kwargs)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/json/__init__.py:346: in loads\n return _default_decoder.decode(s)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/json/decoder.py:337: in decode\n obj, end = self.raw_decode(s, idx=_w(s, 0).end())\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <json.decoder.JSONDecoder object at 0x7fab3bb03a90>, s = 'Not Found'\nidx = 0\n\n def raw_decode(self, s, idx=0):\n \"\"\"Decode a JSON document from ``s`` (a ``str`` beginning with\n a JSON document) and return a 2-tuple of the Python\n representation and the index in ``s`` where the document ended.\n \n This can be used to decode a JSON document from a string that may\n have extraneous data at the end.\n \n \"\"\"\n try:\n obj, end = self.scan_once(s, idx)\n except StopIteration as err:\n> raise JSONDecodeError(\"Expecting value\", s, err.value) from None\nE json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/json/decoder.py:355: JSONDecodeError\n______________________ test_partial_async_endpoint[trio] _______________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='trio', backend_options={})\n\n def test_partial_async_endpoint(test_client_factory):\n test_client = test_client_factory(app)\n response = test_client.get(\"/partial\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:854: AssertionError\n_____________________ test_partial_async_ws_endpoint[trio] _____________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='trio', backend_options={})\n\n def test_partial_async_ws_endpoint(test_client_factory):\n test_client = test_client_factory(app)\n> with test_client.websocket_connect(\"/partial/ws\") as websocket:\n\ntests/test_routing.py:864: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nstarlette/testclient.py:94: in __enter__\n self._raise_on_close(message)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <starlette.testclient.WebSocketTestSession object at 0x7fab34b28fd0>\nmessage = {'code': 1000, 'reason': '', 'type': 'websocket.close'}\n\n def _raise_on_close(self, message: Message) -> None:\n if message[\"type\"] == \"websocket.close\":\n> raise WebSocketDisconnect(\n message.get(\"code\", 1000), message.get(\"reason\", \"\")\n )\nE starlette.websockets.WebSocketDisconnect: (1000, '')\n\nstarlette/testclient.py:135: WebSocketDisconnect\n____________________ test_base_route_middleware[trio-app0] _____________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='trio', backend_options={})\napp = <starlette.applications.Starlette object at 0x7fab394a5250>\n\n @pytest.mark.parametrize(\n \"app\",\n [\n mounted_routes_with_middleware,\n mounted_app_with_middleware,\n route_with_middleware,\n ],\n )\n def test_base_route_middleware(\n test_client_factory: typing.Callable[..., TestClient],\n app: Starlette,\n ) -> None:\n test_client = test_client_factory(app)\n \n response = test_client.get(\"/home\")\n assert response.status_code == 200\n assert \"X-Test\" not in response.headers\n \n response = test_client.get(\"/http\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:1009: AssertionError\n___________________ test_add_route_to_app_after_mount[trio] ____________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='trio', backend_options={})\n\n def test_add_route_to_app_after_mount(\n test_client_factory: typing.Callable[..., TestClient],\n ) -> None:\n \"\"\"Checks that Mount will pick up routes\n added to the underlying app after it is mounted\n \"\"\"\n inner_app = Router()\n app = Mount(\"/http\", app=inner_app)\n inner_app.add_route(\n \"/inner\",\n endpoint=homepage,\n methods=[\"GET\"],\n )\n client = test_client_factory(app)\n response = client.get(\"/http/inner\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:1041: AssertionError\n_____________________ test_exception_on_mounted_apps[trio] _____________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='trio', backend_options={})\n\n def test_exception_on_mounted_apps(test_client_factory):\n def exc(request):\n raise Exception(\"Exc\")\n \n sub_app = Starlette(routes=[Route(\"/\", exc)])\n app = Starlette(routes=[Mount(\"/sub\", app=sub_app)])\n \n client = test_client_factory(app)\n> with pytest.raises(Exception) as ctx:\nE Failed: DID NOT RAISE <class 'Exception'>\n\ntests/test_routing.py:1052: Failed\n____________ test_mounted_middleware_does_not_catch_exception[trio] ____________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='trio', backend_options={})\n\n def test_mounted_middleware_does_not_catch_exception(\n test_client_factory: typing.Callable[..., TestClient],\n ) -> None:\n # https://github.com/encode/starlette/pull/1649#discussion_r960236107\n def exc(request: Request) -> Response:\n raise HTTPException(status_code=403, detail=\"auth\")\n \n class NamedMiddleware:\n def __init__(self, app: ASGIApp, name: str) -> None:\n self.app = app\n self.name = name\n \n async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None:\n async def modified_send(msg: Message) -> None:\n if msg[\"type\"] == \"http.response.start\":\n msg[\"headers\"].append((f\"X-{self.name}\".encode(), b\"true\"))\n await send(msg)\n \n await self.app(scope, receive, modified_send)\n \n app = Starlette(\n routes=[\n Mount(\n \"/mount\",\n routes=[\n Route(\"/err\", exc),\n Route(\"/home\", homepage),\n ],\n middleware=[Middleware(NamedMiddleware, name=\"Mounted\")],\n ),\n Route(\"/err\", exc),\n Route(\"/home\", homepage),\n ],\n middleware=[Middleware(NamedMiddleware, name=\"Outer\")],\n )\n \n client = test_client_factory(app)\n \n resp = client.get(\"/home\")\n assert resp.status_code == 200, resp.content\n assert \"X-Outer\" in resp.headers\n \n resp = client.get(\"/err\")\n assert resp.status_code == 403, resp.content\n assert \"X-Outer\" in resp.headers\n \n resp = client.get(\"/mount/home\")\n> assert resp.status_code == 200, resp.content\nE AssertionError: b'Not Found'\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:1104: AssertionError\n_______________________ test_paths_with_root_path[trio] ________________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='trio', backend_options={})\n\n def test_paths_with_root_path(test_client_factory: typing.Callable[..., TestClient]):\n app = Starlette(routes=echo_paths_routes)\n client = test_client_factory(\n app, base_url=\"https://www.example.org/\", root_path=\"/root\"\n )\n response = client.get(\"/root/path\")\n assert response.status_code == 200\n assert response.json() == {\n \"name\": \"path\",\n \"path\": \"/root/path\",\n \"root_path\": \"/root\",\n }\n \n response = client.get(\"/root/root/path\")\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/test_routing.py:1281: AssertionError\n_____________________ test_session_cookie_subpath[asyncio] _____________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='asyncio', backend_options={})\n\n def test_session_cookie_subpath(test_client_factory):\n second_app = Starlette(\n routes=[\n Route(\"/update_session\", endpoint=update_session, methods=[\"POST\"]),\n ],\n middleware=[\n Middleware(SessionMiddleware, secret_key=\"example\", path=\"/second_app\")\n ],\n )\n app = Starlette(routes=[Mount(\"/second_app\", app=second_app)])\n client = test_client_factory(app, base_url=\"http://testserver/second_app\")\n response = client.post(\"/update_session\", json={\"some\": \"data\"})\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/middleware/test_session.py:134: AssertionError\n______________________ test_session_cookie_subpath[trio] _______________________\n\ntest_client_factory = functools.partial(<class 'starlette.testclient.TestClient'>, backend='trio', backend_options={})\n\n def test_session_cookie_subpath(test_client_factory):\n second_app = Starlette(\n routes=[\n Route(\"/update_session\", endpoint=update_session, methods=[\"POST\"]),\n ],\n middleware=[\n Middleware(SessionMiddleware, secret_key=\"example\", path=\"/second_app\")\n ],\n )\n app = Starlette(routes=[Mount(\"/second_app\", app=second_app)])\n client = test_client_factory(app, base_url=\"http://testserver/second_app\")\n response = client.post(\"/update_session\", json={\"some\": \"data\"})\n> assert response.status_code == 200\nE assert 404 == 200\nE + where 404 = <Response [404 Not Found]>.status_code\n\ntests/middleware/test_session.py:134: AssertionError\n=========================== short test summary info ============================\nXFAIL tests/middleware/test_base.py::test_contextvars[asyncio-CustomMiddlewareUsingBaseHTTPMiddleware] - BaseHTTPMiddleware creates a TaskGroup which copies the contextand erases any changes to it made within the TaskGroup\nXFAIL tests/middleware/test_base.py::test_contextvars[trio-CustomMiddlewareUsingBaseHTTPMiddleware] - BaseHTTPMiddleware creates a TaskGroup which copies the contextand erases any changes to it made within the TaskGroup\n================== 24 failed, 747 passed, 2 xfailed in 26.24s ==================\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/starlette/applications.py b/starlette/applications.py index 554a25e..3e1086d 100644 --- a/starlette/applications.py +++ b/starlette/applications.py @@ -3,8 +3,10 @@ from __future__ import annotations import typing import warnings +from typing_extensions import ParamSpec + from starlette.datastructures import State, URLPath -from starlette.middleware import Middleware +from starlette.middleware import Middleware, _MiddlewareClass from starlette.middleware.base import BaseHTTPMiddleware from starlette.middleware.errors import ServerErrorMiddleware from starlette.middleware.exceptions import ExceptionMiddleware @@ -15,6 +17,7 @@ from starlette.types import ASGIApp, ExceptionHandler, Lifespan, Receive, Scope, from starlette.websockets import WebSocket AppType = typing.TypeVar("AppType", bound="Starlette") +P = ParamSpec("P") class Starlette: @@ -98,8 +101,8 @@ class Starlette: ) app = self.router - for cls, options in reversed(middleware): - app = cls(app=app, *options) + for cls, args, kwargs in reversed(middleware): + app = cls(app=app, args, kwargs) return app @property @@ -124,10 +127,15 @@ class Starlette: def host(self, host: str, app: ASGIApp, name: str \| None = None) -> None: self.router.host(host, app=app, name=name) # pragma: no cover - def add_middleware(self, middleware_class: type, options: typing.Any) -> None: + def add_middleware( + self, + middleware_class: typing.Type[_MiddlewareClass[P]], + args: P.args, + kwargs: P.kwargs, + ) -> None: if self.middleware_stack is not None: # pragma: no cover raise RuntimeError("Cannot add middleware after an application has started") - self.user_middleware.insert(0, Middleware(middleware_class, options)) + self.user_middleware.insert(0, Middleware(middleware_class, args, *kwargs)) def add_exception_handler( self, diff --git a/starlette/middleware/__init__.py b/starlette/middleware/__init__.py index 05bd57f..880e301 100644 --- a/starlette/middleware/__init__.py +++ b/starlette/middleware/__init__.py @@ -1,17 +1,38 @@ -import typing +from typing import Any, Iterator, Protocol, Type + +from typing_extensions import ParamSpec + +from starlette.types import ASGIApp, Receive, Scope, Send + +P = ParamSpec("P") + + +class _MiddlewareClass(Protocol[P]): + def __init__(self, app: ASGIApp, args: P.args, kwargs: P.kwargs) -> None: + ... # pragma: no cover + + async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None: + ... # pragma: no cover class Middleware: - def __init__(self, cls: type, options: typing.Any) -> None: + def __init__( + self, + cls: Type[_MiddlewareClass[P]], + args: P.args, + kwargs: P.kwargs, + ) -> None: self.cls = cls - self.options = options + self.args = args + self.kwargs = kwargs - def __iter__(self) -> typing.Iterator[typing.Any]: - as_tuple = (self.cls, self.options) + def __iter__(self) -> Iterator[Any]: + as_tuple = (self.cls, self.args, self.kwargs) return iter(as_tuple) def __repr__(self) -> str: class_name = self.__class__.__name__ - option_strings = [f"{key}={value!r}" for key, value in self.options.items()] - args_repr = ", ".join([self.cls.__name__] + option_strings) + args_strings = [f"{value!r}" for value in self.args] + option_strings = [f"{key}={value!r}" for key, value in self.kwargs.items()] + args_repr = ", ".join([self.cls.__name__] + args_strings + option_strings) return f"{class_name}({args_repr})" diff --git a/starlette/routing.py b/starlette/routing.py index 90387f7..c8c854d 100644 --- a/starlette/routing.py +++ b/starlette/routing.py @@ -238,8 +238,8 @@ class Route(BaseRoute): self.app = endpoint if middleware is not None: - for cls, options in reversed(middleware): - self.app = cls(app=self.app, options) + for cls, args, kwargs in reversed(middleware): + self.app = cls(app=self.app, args, kwargs) if methods is None: self.methods = None @@ -335,8 +335,8 @@ class WebSocketRoute(BaseRoute): self.app = endpoint if middleware is not None: - for cls, options in reversed(middleware): - self.app = cls(app=self.app, options) + for cls, args, kwargs in reversed(middleware): + self.app = cls(app=self.app, args, kwargs) self.path_regex, self.path_format, self.param_convertors = compile_path(path) @@ -404,8 +404,8 @@ class Mount(BaseRoute): self._base_app = Router(routes=routes) self.app = self._base_app if middleware is not None: - for cls, options in reversed(middleware): - self.app = cls(app=self.app, options) + for cls, args, kwargs in reversed(middleware): + self.app = cls(app=self.app, args, kwargs) self.name = name self.path_regex, self.path_format, self.param_convertors = compile_path( self.path + "/{path:path}" @@ -421,12 +421,9 @@ class Mount(BaseRoute): path = scope["path"] root_path = scope.get("route_root_path", scope.get("root_path", "")) route_path = scope.get("route_path", re.sub(r"^" + root_path, "", path)) - mount_match = self.path_regex.match(route_path) - path_match = self.routes == [] or any( - [route.matches(scope)[0] == Match.FULL for route in self.routes] - ) - if mount_match and path_match: - matched_params = mount_match.groupdict() + match = self.path_regex.match(route_path) + if match: + matched_params = match.groupdict() for key, value in matched_params.items(): matched_params[key] = self.param_convertors[key].convert(value) remaining_path = "/" + matched_params.pop("path") @@ -675,8 +672,8 @@ class Router: self.middleware_stack = self.app if middleware: - for cls, options in reversed(middleware): - self.middleware_stack = cls(self.middleware_stack, options) + for cls, args, kwargs in reversed(middleware): + self.middleware_stack = cls(self.middleware_stack, args, kwargs) async def not_found(self, scope: Scope, receive: Receive, send: Send) -> None: if scope["type"] == "websocket": diff --git a/tests/middleware/test_base.py b/tests/middleware/test_base.py index 650f4ae..4d51f34 100644 --- a/tests/middleware/test_base.py +++ b/tests/middleware/test_base.py @@ -1,13 +1,13 @@ import contextvars from contextlib import AsyncExitStack -from typing import AsyncGenerator, Awaitable, Callable, List, Union +from typing import Any, AsyncGenerator, Awaitable, Callable, List, Type, Union import anyio import pytest from starlette.applications import Starlette from starlette.background import BackgroundTask -from starlette.middleware import Middleware +from starlette.middleware import Middleware, _MiddlewareClass from starlette.middleware.base import BaseHTTPMiddleware, RequestResponseEndpoint from starlette.requests import Request from starlette.responses import PlainTextResponse, Response, StreamingResponse @@ -196,7 +196,7 @@ class CustomMiddlewareUsingBaseHTTPMiddleware(BaseHTTPMiddleware): ), ], ) -def test_contextvars(test_client_factory, middleware_cls: type): +def test_contextvars(test_client_factory, middleware_cls: Type[_MiddlewareClass[Any]]): # this has to be an async endpoint because Starlette calls run_in_threadpool # on sync endpoints which has it's own set of peculiarities w.r.t propagating # contextvars (it propagates them forwards but not backwards) diff --git a/tests/middleware/test_middleware.py b/tests/middleware/test_middleware.py index f4d7a32..c6cf1fa 100644 --- a/tests/middleware/test_middleware.py +++ b/tests/middleware/test_middleware.py @@ -1,10 +1,22 @@ from starlette.middleware import Middleware +from starlette.types import ASGIApp, Receive, Scope, Send -class CustomMiddleware: - pass +class CustomMiddleware: # pragma: no cover + def __init__(self, app: ASGIApp, foo: str, , bar: int) -> None: + self.app = app + self.foo = foo + self.bar = bar + async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None: + await self.app(scope, receive, send) -def test_middleware_repr(): - middleware = Middleware(CustomMiddleware) - assert repr(middleware) == "Middleware(CustomMiddleware)" + +def test_middleware_repr() -> None: + middleware = Middleware(CustomMiddleware, "foo", bar=123) + assert repr(middleware) == "Middleware(CustomMiddleware, 'foo', bar=123)" + + +def test_middleware_iter() -> None: + cls, args, kwargs = Middleware(CustomMiddleware, "foo", bar=123) + assert (cls, args, kwargs) == (CustomMiddleware, ("foo",), {"bar": 123}) diff --git a/tests/test_applications.py b/tests/test_applications.py index e30ec92..6d0118b 100644 --- a/tests/test_applications.py +++ b/tests/test_applications.py @@ -1,6 +1,6 @@ import os from contextlib import asynccontextmanager -from typing import Any, AsyncIterator, Callable +from typing import AsyncIterator, Callable import anyio import httpx @@ -15,7 +15,7 @@ from starlette.middleware.trustedhost import TrustedHostMiddleware from starlette.responses import JSONResponse, PlainTextResponse from starlette.routing import Host, Mount, Route, Router, WebSocketRoute from starlette.staticfiles import StaticFiles -from starlette.types import ASGIApp +from starlette.types import ASGIApp, Receive, Scope, Send from starlette.websockets import WebSocket @@ -499,8 +499,8 @@ def test_middleware_stack_init(test_client_factory: Callable[[ASGIApp], httpx.Cl def __init__(self, app: ASGIApp): self.app = app - async def __call__(self, args: Any): - await self.app(args) + async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None: + await self.app(scope, receive, send) class SimpleInitializableMiddleware: counter = 0 @@ -509,8 +509,8 @@ def test_middleware_stack_init(test_client_factory: Callable[[ASGIApp], httpx.Cl self.app = app SimpleInitializableMiddleware.counter += 1 - async def __call__(self, args: Any): - await self.app(args) + async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None: + await self.app(scope, receive, send) def get_app() -> ASGIApp: app = Starlette() diff --git a/tests/test_authentication.py b/tests/test_authentication.py index af0beaf..150482a 100644 --- a/tests/test_authentication.py +++ b/tests/test_authentication.py @@ -15,7 +15,7 @@ from starlette.authentication import ( from starlette.endpoints import HTTPEndpoint from starlette.middleware import Middleware from starlette.middleware.authentication import AuthenticationMiddleware -from starlette.requests import Request +from starlette.requests import HTTPConnection from starlette.responses import JSONResponse from starlette.routing import Route, WebSocketRoute from starlette.websockets import WebSocketDisconnect @@ -327,7 +327,7 @@ def test_authentication_redirect(test_client_factory): assert response.json() == {"authenticated": True, "user": "tomchristie"} -def on_auth_error(request: Request, exc: Exception): +def on_auth_error(request: HTTPConnection, exc: AuthenticationError): return JSONResponse({"error": str(exc)}, status_code=401)	3	[ "starlette/applications.py", "starlette/middleware/__init__.py", "starlette/routing.py", "tests/middleware/test_base.py", "tests/middleware/test_middleware.py", "tests/test_applications.py", "tests/test_authentication.py" ]	https://github.com/encode/starlette/tree/cc0b066c05947c2a356d063d0137685205709c3e	2023-12-17T15:44:59Z
Python	144	encode	starlette	asgi-pathsend	Test Suite	test-suite.yml	.github/workflows/test-suite.yml	gi0baro	58c7cde15084b1c07373c00028dbd19b85fd5e1b	30989e02ea6147be67dd5b520d6e328ce96ecec1	--- name: Test Suite on: push: branches: ["master"] pull_request: branches: ["master"] jobs: tests: name: "Python ${{ matrix.python-version }}" runs-on: "ubuntu-latest" services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: matrix: python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"] steps: - uses: "actions/checkout@v4" - uses: "actions/setup-python@v5" with: python-version: "${{ matrix.python-version }}" allow-prereleases: true - name: "Install dependencies" run: "scripts/install" - name: "Run linting checks" run: "scripts/check" - name: "Build package & docs" run: "scripts/build" - name: "Run tests" run: "scripts/test" - name: "Enforce coverage" run: "scripts/coverage" env: PIP_INDEX_URL: http://localhost:8629/2024-01-22 UV_INDEX_URL: http://localhost:8629/2024-01-22	[ { "step_name": "Python 3.9/7_Run tests.txt", "log": "##[group]Run scripts/test\n\u001b[36;1mscripts/test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n+ [ -z true ]\n+ coverage run -m pytest\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/starlette/starlette\nconfigfile: pyproject.toml\nplugins: anyio-4.2.0\ncollected 783 items\n\ntests/test__utils.py ...... [ 0%]\ntests/test_applications.py ............................................. [ 6%]\n... [ 6%]\ntests/test_authentication.py ........... [ 8%]\ntests/test_background.py ........ [ 9%]\ntests/test_concurrency.py ...... [ 10%]\ntests/test_config.py ..... [ 10%]\ntests/test_convertors.py ...... [ 11%]\ntests/test_datastructures.py .............................. [ 15%]\ntests/test_endpoints.py .................... [ 17%]\ntests/test_exceptions.py ..................... [ 20%]\ntests/test_formparsers.py .............................................. [ 26%]\n...................... [ 29%]\ntests/test_requests.py ................................................. [ 35%]\n.............................. [ 39%]\ntests/test_responses.py ...................F............................ [ 45%]\n.....F.............. [ 48%]\ntests/test_routing.py .................................................. [ 54%]\n....................................... [ 59%]\ntests/test_schemas.py ... [ 59%]\ntests/test_staticfiles.py .............................................. [ 65%]\n...... [ 66%]\ntests/test_status.py .. [ 66%]\ntests/test_templates.py ....................... [ 69%]\ntests/test_testclient.py ...........x..................x........ [ 74%]\ntests/test_websockets.py ............................................... [ 80%]\n.................... [ 83%]\ntests/middleware/test_base.py .....x......................x............. [ 88%]\n..... [ 89%]\ntests/middleware/test_cors.py .............................. [ 92%]\ntests/middleware/test_errors.py ............ [ 94%]\ntests/middleware/test_gzip.py .......... [ 95%]\ntests/middleware/test_https_redirect.py .. [ 96%]\ntests/middleware/test_middleware.py .. [ 96%]\ntests/middleware/test_session.py .............. [ 98%]\ntests/middleware/test_trusted_host.py ..... [ 98%]\ntests/middleware/test_wsgi.py .......... [100%]\n\n=================================== FAILURES ===================================\n__________________ test_file_response_with_pathsend[asyncio] ___________________\n\ntmpdir = local('/tmp/pytest-of-runner/pytest-0/test_file_response_with_pathse0')\n\n @pytest.mark.anyio\n async def test_file_response_with_pathsend(tmpdir: Path):\n path = os.path.join(tmpdir, \"xyz\")\n content = b\"<file content>\" * 1000\n with open(path, \"wb\") as file:\n file.write(content)\n \n app = FileResponse(path=path, filename=\"example.png\")\n \n async def receive() -> Message: # type: ignore[empty-body]\n ... # pragma: no cover\n \n async def send(message: Message) -> None:\n if message[\"type\"] == \"http.response.start\":\n assert message[\"status\"] == status.HTTP_200_OK\n headers = Headers(raw=message[\"headers\"])\n assert headers[\"content-type\"] == \"image/png\"\n assert \"content-length\" in headers\n assert \"content-disposition\" in headers\n assert \"last-modified\" in headers\n assert \"etag\" in headers\n elif message[\"type\"] == \"http.response.pathsend\":\n assert message[\"path\"] == str(path)\n \n # Since the TestClient doesn't support `pathsend`, we need to test this directly.\n await app(\n> {\"type\": \"http\", \"method\": \"get\", \"extensions\": {\"http.response.pathsend\", {}}},\n receive,\n send,\n )\nE TypeError: unhashable type: 'dict'\n\ntests/test_responses.py:358: TypeError\n____________________ test_file_response_with_pathsend[trio] ____________________\n\ntmpdir = local('/tmp/pytest-of-runner/pytest-0/test_file_response_with_pathse1')\n\n @pytest.mark.anyio\n async def test_file_response_with_pathsend(tmpdir: Path):\n path = os.path.join(tmpdir, \"xyz\")\n content = b\"<file content>\" * 1000\n with open(path, \"wb\") as file:\n file.write(content)\n \n app = FileResponse(path=path, filename=\"example.png\")\n \n async def receive() -> Message: # type: ignore[empty-body]\n ... # pragma: no cover\n \n async def send(message: Message) -> None:\n if message[\"type\"] == \"http.response.start\":\n assert message[\"status\"] == status.HTTP_200_OK\n headers = Headers(raw=message[\"headers\"])\n assert headers[\"content-type\"] == \"image/png\"\n assert \"content-length\" in headers\n assert \"content-disposition\" in headers\n assert \"last-modified\" in headers\n assert \"etag\" in headers\n elif message[\"type\"] == \"http.response.pathsend\":\n assert message[\"path\"] == str(path)\n \n # Since the TestClient doesn't support `pathsend`, we need to test this directly.\n await app(\n> {\"type\": \"http\", \"method\": \"get\", \"extensions\": {\"http.response.pathsend\", {}}},\n receive,\n send,\n )\nE TypeError: unhashable type: 'dict'\n\ntests/test_responses.py:358: TypeError\n=========================== short test summary info ============================\nXFAIL tests/test_testclient.py::test_domain_restricted_cookies[asyncio-testserver-True] - Fails due to domain handling in http.cookiejar module (see #2152)\nXFAIL tests/test_testclient.py::test_domain_restricted_cookies[trio-testserver-True] - Fails due to domain handling in http.cookiejar module (see #2152)\nXFAIL tests/middleware/test_base.py::test_contextvars[asyncio-CustomMiddlewareUsingBaseHTTPMiddleware] - BaseHTTPMiddleware creates a TaskGroup which copies the contextand erases any changes to it made within the TaskGroup\nXFAIL tests/middleware/test_base.py::test_contextvars[trio-CustomMiddlewareUsingBaseHTTPMiddleware] - BaseHTTPMiddleware creates a TaskGroup which copies the contextand erases any changes to it made within the TaskGroup\n================== 2 failed, 777 passed, 4 xfailed in 12.71s ===================\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/tests/test_responses.py b/tests/test_responses.py index 8106fad..625a129 100644 --- a/tests/test_responses.py +++ b/tests/test_responses.py @@ -355,7 +355,7 @@ async def test_file_response_with_pathsend(tmpdir: Path): # Since the TestClient doesn't support `pathsend`, we need to test this directly. await app( - {"type": "http", "method": "get", "extensions": {"http.response.pathsend", {}}}, + {"type": "http", "method": "get", "extensions": {"http.response.pathsend": {}}}, receive, send, )	2	[ "tests/test_responses.py" ]	https://github.com/encode/starlette/tree/58c7cde15084b1c07373c00028dbd19b85fd5e1b	2024-01-22T09:16:58Z
Python	145	encode	uvicorn	ioerror-on-send	Test Suite	test-suite.yml	.github/workflows/test-suite.yml	encode	0b93d2da3b721c80dcb6a2993a23876a97498dd5	bf13088dd7d7eb531cfbc02ee907f76103c4fa7a	--- name: Test Suite on: push: branches: ["master"] pull_request: branches: ["master"] jobs: tests: name: "Python ${{ matrix.python-version }} ${{ matrix.os }}" runs-on: "${{ matrix.os }}" services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: matrix: python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"] os: [windows-latest, ubuntu-latest, macos-latest] steps: - uses: "actions/checkout@v4" - uses: "actions/setup-python@v5" with: python-version: "${{ matrix.python-version }}" - name: "Install dependencies" run: "scripts/install" shell: bash - name: "Run linting checks" run: "scripts/check" shell: bash if: "${{ matrix.os == 'ubuntu-latest'}}" - name: "Build package & docs" run: "scripts/build" shell: bash - name: "Run tests" run: "scripts/test" shell: bash - name: "Enforce coverage" run: "scripts/coverage" shell: bash env: PIP_INDEX_URL: http://localhost:8629/2024-01-17 UV_INDEX_URL: http://localhost:8629/2024-01-17	[ { "step_name": "Python 3.9 ubuntu-latest/7_Run tests.txt", "log": "##[group]Run scripts/test\n\u001b[36;1mscripts/test\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n+ [ -z true ]\n+ coverage run --debug config -m pytest\n-- config ----------------------------------------------------\n attempted_config_files: .coveragerc\n setup.cfg\n tox.ini\n pyproject.toml\n branch: False\n command_line: None\n concurrency: -none-\n config_file: /home/runner/work/uvicorn/uvicorn/pyproject.toml\n config_files_read: /home/runner/work/uvicorn/uvicorn/pyproject.toml\n context: None\n cover_pylib: False\n data_file: .coverage\n debug: config\n debug_file: None\n disable_warnings: -none-\n dynamic_context: None\n exclude_also: -none-\n exclude_list: pragma: no cover\n pragma: nocover\n if TYPE_CHECKING:\n if typing.TYPE_CHECKING:\n raise NotImplementedError\n py-not-win32\n py-linux\n py-gte-38\n py-gte-39\n py-lt-310\n py-lt-311\n extra_css: None\n fail_under: 98.35\n format: None\n html_dir: htmlcov\n html_skip_covered: None\n html_skip_empty: None\n html_title: Coverage report\n ignore_errors: False\n include_namespace_packages: False\n json_output: coverage.json\n json_pretty_print: False\n json_show_contexts: False\n lcov_output: coverage.lcov\n parallel: False\n partial_always_list: while (True\|1\|False\|0):\n if (True\|1\|False\|0):\n partial_list: #\\s(pragma\|PRAGMA)[:\\s]?\\s(no\|NO)\\s(branch\|BRANCH)\n paths: {}\n plugin_options: {'coverage_conditional_plugin': {'omit': {\"sys_platform == 'win32'\": ['uvicorn/loops/uvloop.py'], \"sys_platform != 'win32'\": ['uvicorn/loops/asyncio.py']}, 'rules': {'py-win32': \"sys_platform == 'win32'\", 'py-not-win32': \"sys_platform != 'win32'\", 'py-linux': \"sys_platform == 'linux'\", 'py-darwin': \"sys_platform == 'darwin'\", 'py-gte-38': 'sys_version_info >= (3, 8)', 'py-lt-38': 'sys_version_info < (3, 8)', 'py-gte-39': 'sys_version_info >= (3, 9)', 'py-lt-39': 'sys_version_info < (3, 9)', 'py-gte-310': 'sys_version_info >= (3, 10)', 'py-lt-310': 'sys_version_info < (3, 10)', 'py-gte-311': 'sys_version_info >= (3, 11)', 'py-lt-311': 'sys_version_info < (3, 11)'}}}\n plugins: coverage_conditional_plugin\n precision: 2\n relative_files: False\n report_contexts: None\n report_include: None\n report_omit: None\n run_include: -none-\n run_omit: uvicorn/workers.py\n uvicorn/__main__.py\n uvicorn/loops/asyncio.py\n show_contexts: False\n show_missing: True\n sigterm: False\n skip_covered: True\n skip_empty: False\n sort: None\n source: None\n source_pkgs: uvicorn\n tests\n timid: False\n xml_output: coverage.xml\n xml_package_depth: 99\n-- end -------------------------------------------------------\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/uvicorn/uvicorn\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1, mock-3.12.0\ncollected 565 items\n\ntests/test_auto_detection.py ... [ 0%]\ntests/test_cli.py .............. [ 3%]\ntests/test_config.py ................................................... [ 12%]\n........................................................ [ 21%]\ntests/test_default_headers.py ...... [ 23%]\ntests/test_lifespan.py ................ [ 25%]\ntests/test_main.py ......... [ 27%]\ntests/test_ssl.py .... [ 28%]\ntests/test_subprocess.py .. [ 28%]\ntests/importer/test_importer.py ....... [ 29%]\ntests/middleware/test_logging.py .............. [ 32%]\ntests/middleware/test_message_logger.py .. [ 32%]\ntests/middleware/test_proxy_headers.py ............... [ 35%]\ntests/middleware/test_wsgi.py ........... [ 37%]\ntests/protocols/test_http.py ........................................... [ 44%]\n............................................................... [ 55%]\ntests/protocols/test_utils.py ...... [ 56%]\ntests/protocols/test_websocket.py ...................................... [ 63%]\n........................................................................ [ 76%]\n........................................................FF......FF..FF.. [ 89%]\n.................... [ 92%]\ntests/supervisors/test_multiprocess.py . [ 92%]\ntests/supervisors/test_reload.py ..................................... [ 99%]\ntests/supervisors/test_signal.py ... [100%]\n\n=================================== FAILURES ===================================\n____ test_server_reject_connection_with_body_nolength[websockets-httptools] ____\n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n> yield\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_transports/default.py:67: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_transports/default.py:371: in handle_async_request\n resp = await self._pool.handle_async_request(req)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/connection_pool.py:268: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/connection_pool.py:251: in handle_async_request\n response = await connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/connection.py:103: in handle_async_request\n return await self._connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/http11.py:133: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/http11.py:111: in handle_async_request\n ) = await self._receive_response_headers(kwargs)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/http11.py:176: in _receive_response_headers\n event = await self._receive_event(timeout=timeout)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <AsyncHTTP11Connection ['http://127.0.0.1:60493', CLOSED, Request Count: 1]>\ntimeout = 5.0\n\n async def _receive_event(\n self, timeout: Optional[float] = None\n ) -> Union[h11.Event, Type[h11.PAUSED]]:\n while True:\n with map_exceptions({h11.RemoteProtocolError: RemoteProtocolError}):\n event = self._h11_state.next_event()\n \n if event is h11.NEED_DATA:\n data = await self._network_stream.read(\n self.READ_NUM_BYTES, timeout=timeout\n )\n \n # If we feed this case through h11 we'll raise an exception like:\n #\n # httpcore.RemoteProtocolError: can't handle event type\n # ConnectionClosed when role=SERVER and state=SEND_RESPONSE\n #\n # Which is accurate, but not very informative from an end-user\n # perspective. Instead we handle this case distinctly and treat\n # it as a ConnectError.\n if data == b\"\" and self._h11_state.their_state == h11.SEND_RESPONSE:\n msg = \"Server disconnected without sending a response.\"\n> raise RemoteProtocolError(msg)\nE httpcore.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/http11.py:226: RemoteProtocolError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = <class 'uvicorn.protocols.websockets.websockets_impl.WebSocketProtocol'>\nhttp_protocol_cls = <class 'uvicorn.protocols.http.httptools_impl.HttpToolsProtocol'>\nunused_tcp_port = 60493\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_body_nolength(\n ws_protocol_cls: \"typing.Type[WSProtocol \| WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol \| HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n # test that the server can send a response with a body but no content-length\n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n await send(\n {\n \"type\": \"websocket.http.response.start\",\n \"status\": 403,\n \"headers\": [],\n }\n )\n await send({\"type\": \"websocket.http.response.body\", \"body\": b\"hardbody\"})\n \n async def websocket_session(url):\n response = await wsresponse(url)\n assert response.status_code == 403\n assert response.content == b\"hardbody\"\n if ws_protocol_cls == WSProtocol: # pragma: no cover\n # wsproto automatically makes the message chunked\n assert response.headers[\"transfer-encoding\"] == \"chunked\"\n else: # pragma: no cover\n # websockets automatically adds a content-length\n assert response.headers[\"content-length\"] == \"8\"\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1219: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1201: in websocket_session\n response = await wsresponse(url)\ntests/protocols/test_websocket.py:73: in wsresponse\n return await client.get(url, headers=headers)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1786: in get\n return await self.request(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1559: in request\n return await self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1646: in send\n response = await self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1674: in _send_handling_auth\n response = await self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1711: in _send_handling_redirects\n response = await self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1748: in _send_single_request\n response = await transport.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_transports/default.py:371: in handle_async_request\n resp = await self._pool.handle_async_request(req)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/contextlib.py:137: in __exit__\n self.gen.throw(typ, value, traceback)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n yield\n except Exception as exc:\n mapped_exc = None\n \n for from_exc, to_exc in HTTPCORE_EXC_MAP.items():\n if not isinstance(exc, from_exc):\n continue\n # We want to map to the most specific exception we can find.\n # Eg if `exc` is an `httpcore.ReadTimeout`, we want to map to\n # `httpx.ReadTimeout`, not just `httpx.TimeoutException`.\n if mapped_exc is None or issubclass(to_exc, mapped_exc):\n mapped_exc = to_exc\n \n if mapped_exc is None: # pragma: no cover\n raise\n \n message = str(exc)\n> raise mapped_exc(message) from exc\nE httpx.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_transports/default.py:84: RemoteProtocolError\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1904]\nINFO: Uvicorn running on http://127.0.0.1:60493 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 57402) - \"WebSocket /\" 403\nINFO: connection rejected (403 Forbidden)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1904]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:60493 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 57402) - \"WebSocket /\" 403\nINFO uvicorn.error:server.py:229 connection rejected (403 Forbidden)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n_______ test_server_reject_connection_with_body_nolength[websockets-h11] _______\n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n> yield\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_transports/default.py:67: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_transports/default.py:371: in handle_async_request\n resp = await self._pool.handle_async_request(req)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/connection_pool.py:268: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/connection_pool.py:251: in handle_async_request\n response = await connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/connection.py:103: in handle_async_request\n return await self._connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/http11.py:133: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/http11.py:111: in handle_async_request\n ) = await self._receive_response_headers(kwargs)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/http11.py:176: in _receive_response_headers\n event = await self._receive_event(timeout=timeout)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <AsyncHTTP11Connection ['http://127.0.0.1:54995', CLOSED, Request Count: 1]>\ntimeout = 5.0\n\n async def _receive_event(\n self, timeout: Optional[float] = None\n ) -> Union[h11.Event, Type[h11.PAUSED]]:\n while True:\n with map_exceptions({h11.RemoteProtocolError: RemoteProtocolError}):\n event = self._h11_state.next_event()\n \n if event is h11.NEED_DATA:\n data = await self._network_stream.read(\n self.READ_NUM_BYTES, timeout=timeout\n )\n \n # If we feed this case through h11 we'll raise an exception like:\n #\n # httpcore.RemoteProtocolError: can't handle event type\n # ConnectionClosed when role=SERVER and state=SEND_RESPONSE\n #\n # Which is accurate, but not very informative from an end-user\n # perspective. Instead we handle this case distinctly and treat\n # it as a ConnectError.\n if data == b\"\" and self._h11_state.their_state == h11.SEND_RESPONSE:\n msg = \"Server disconnected without sending a response.\"\n> raise RemoteProtocolError(msg)\nE httpcore.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpcore/_async/http11.py:226: RemoteProtocolError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = <class 'uvicorn.protocols.websockets.websockets_impl.WebSocketProtocol'>\nhttp_protocol_cls = <class 'uvicorn.protocols.http.h11_impl.H11Protocol'>\nunused_tcp_port = 54995\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_body_nolength(\n ws_protocol_cls: \"typing.Type[WSProtocol \| WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol \| HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n # test that the server can send a response with a body but no content-length\n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n await send(\n {\n \"type\": \"websocket.http.response.start\",\n \"status\": 403,\n \"headers\": [],\n }\n )\n await send({\"type\": \"websocket.http.response.body\", \"body\": b\"hardbody\"})\n \n async def websocket_session(url):\n response = await wsresponse(url)\n assert response.status_code == 403\n assert response.content == b\"hardbody\"\n if ws_protocol_cls == WSProtocol: # pragma: no cover\n # wsproto automatically makes the message chunked\n assert response.headers[\"transfer-encoding\"] == \"chunked\"\n else: # pragma: no cover\n # websockets automatically adds a content-length\n assert response.headers[\"content-length\"] == \"8\"\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1219: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1201: in websocket_session\n response = await wsresponse(url)\ntests/protocols/test_websocket.py:73: in wsresponse\n return await client.get(url, headers=headers)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1786: in get\n return await self.request(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1559: in request\n return await self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1646: in send\n response = await self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1674: in _send_handling_auth\n response = await self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1711: in _send_handling_redirects\n response = await self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_client.py:1748: in _send_single_request\n response = await transport.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_transports/default.py:371: in handle_async_request\n resp = await self._pool.handle_async_request(req)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/contextlib.py:137: in __exit__\n self.gen.throw(typ, value, traceback)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n yield\n except Exception as exc:\n mapped_exc = None\n \n for from_exc, to_exc in HTTPCORE_EXC_MAP.items():\n if not isinstance(exc, from_exc):\n continue\n # We want to map to the most specific exception we can find.\n # Eg if `exc` is an `httpcore.ReadTimeout`, we want to map to\n # `httpx.ReadTimeout`, not just `httpx.TimeoutException`.\n if mapped_exc is None or issubclass(to_exc, mapped_exc):\n mapped_exc = to_exc\n \n if mapped_exc is None: # pragma: no cover\n raise\n \n message = str(exc)\n> raise mapped_exc(message) from exc\nE httpx.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/httpx/_transports/default.py:84: RemoteProtocolError\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1904]\nINFO: Uvicorn running on http://127.0.0.1:54995 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 45664) - \"WebSocket /\" 403\nINFO: connection rejected (403 Forbidden)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1904]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:54995 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 45664) - \"WebSocket /\" 403\nINFO uvicorn.error:server.py:229 connection rejected (403 Forbidden)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n____ test_server_reject_connection_with_missing_body[websockets-httptools] _____\n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x55cef4c70630>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x55cef4c70630>>\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32 KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8 KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7fb3f5aa1d90>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x55cef4c70630>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = <class 'uvicorn.protocols.websockets.websockets_impl.WebSocketProtocol'>\nhttp_protocol_cls = <class 'uvicorn.protocols.http.httptools_impl.HttpToolsProtocol'>\nunused_tcp_port = 60941\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_missing_body(\n ws_protocol_cls: \"typing.Type[WSProtocol \| WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol \| HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n async def app(scope, receive, send):\n assert scope[\"type\"] == \"websocket\"\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n message = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(message)\n # no further message\n \n async def websocket_session(url):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass # pragma: no cover\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1298: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1286: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7fb3f5aa1d90>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1904]\nINFO: Uvicorn running on http://127.0.0.1:60941 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 60230) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1904]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:60941 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 60230) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n_______ test_server_reject_connection_with_missing_body[websockets-h11] ________\n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x55cef4c70380>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x55cef4c70380>>\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32 KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8 KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7fb3f5fad130>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x55cef4c70380>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = <class 'uvicorn.protocols.websockets.websockets_impl.WebSocketProtocol'>\nhttp_protocol_cls = <class 'uvicorn.protocols.http.h11_impl.H11Protocol'>\nunused_tcp_port = 38791\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_missing_body(\n ws_protocol_cls: \"typing.Type[WSProtocol \| WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol \| HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n async def app(scope, receive, send):\n assert scope[\"type\"] == \"websocket\"\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n message = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(message)\n # no further message\n \n async def websocket_session(url):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass # pragma: no cover\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1298: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1286: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7fb3f5fad130>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1904]\nINFO: Uvicorn running on http://127.0.0.1:38791 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 50712) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1904]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:38791 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 50712) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n_ test_server_multiple_websocket_http_response_start_events[websockets-httptools] _\n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x55cef42e1800>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x55cef42e1800>>\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32 KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8 KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7fb3f80c9dc0>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x55cef42e1800>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = <class 'uvicorn.protocols.websockets.websockets_impl.WebSocketProtocol'>\nhttp_protocol_cls = <class 'uvicorn.protocols.http.httptools_impl.HttpToolsProtocol'>\nunused_tcp_port = 52319\n\n @pytest.mark.anyio\n async def test_server_multiple_websocket_http_response_start_events(\n ws_protocol_cls: \"typing.Type[WSProtocol \| WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol \| HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n \"\"\"\n The server should raise an exception if it sends multiple\n websocket.http.response.start events.\n \"\"\"\n exception_message: typing.Optional[str] = None\n \n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n nonlocal exception_message\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n start_event: WebSocketResponseStartEvent = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(start_event)\n try:\n await send(start_event)\n except Exception as exc:\n exception_message = str(exc)\n \n async def websocket_session(url: str):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1348: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1336: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7fb3f80c9dc0>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1904]\nINFO: Uvicorn running on http://127.0.0.1:52319 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 34168) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1904]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:52319 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 34168) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n__ test_server_multiple_websocket_http_response_start_events[websockets-h11] ___\n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x55cef457fbd0>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x55cef457fbd0>>\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32 KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8 KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7fb3f83c13a0>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x55cef457fbd0>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = <class 'uvicorn.protocols.websockets.websockets_impl.WebSocketProtocol'>\nhttp_protocol_cls = <class 'uvicorn.protocols.http.h11_impl.H11Protocol'>\nunused_tcp_port = 54615\n\n @pytest.mark.anyio\n async def test_server_multiple_websocket_http_response_start_events(\n ws_protocol_cls: \"typing.Type[WSProtocol \| WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol \| HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n \"\"\"\n The server should raise an exception if it sends multiple\n websocket.http.response.start events.\n \"\"\"\n exception_message: typing.Optional[str] = None\n \n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n nonlocal exception_message\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n start_event: WebSocketResponseStartEvent = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(start_event)\n try:\n await send(start_event)\n except Exception as exc:\n exception_message = str(exc)\n \n async def websocket_session(url: str):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1348: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1336: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7fb3f83c13a0>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1904]\nINFO: Uvicorn running on http://127.0.0.1:54615 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 48684) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1904]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:54615 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 48684) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n=================== 6 failed, 559 passed in 66.02s (0:01:06) ===================\n##[error]Process completed with exit code 1.\n" }, { "step_name": "Python 3.10 ubuntu-latest/7_Run tests.txt", "log": "##[group]Run scripts/test\n\u001b[36;1mscripts/test\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n+ [ -z true ]\n+ coverage run --debug config -m pytest\n-- config ----------------------------------------------------\n attempted_config_files: .coveragerc\n setup.cfg\n tox.ini\n pyproject.toml\n branch: False\n command_line: None\n concurrency: -none-\n config_file: /home/runner/work/uvicorn/uvicorn/pyproject.toml\n config_files_read: /home/runner/work/uvicorn/uvicorn/pyproject.toml\n context: None\n cover_pylib: False\n data_file: .coverage\n debug: config\n debug_file: None\n disable_warnings: -none-\n dynamic_context: None\n exclude_also: -none-\n exclude_list: pragma: no cover\n pragma: nocover\n if TYPE_CHECKING:\n if typing.TYPE_CHECKING:\n raise NotImplementedError\n py-not-win32\n py-linux\n py-gte-38\n py-gte-39\n py-gte-310\n py-lt-311\n extra_css: None\n fail_under: 98.35\n format: None\n html_dir: htmlcov\n html_skip_covered: None\n html_skip_empty: None\n html_title: Coverage report\n ignore_errors: False\n include_namespace_packages: False\n json_output: coverage.json\n json_pretty_print: False\n json_show_contexts: False\n lcov_output: coverage.lcov\n parallel: False\n partial_always_list: while (True\|1\|False\|0):\n if (True\|1\|False\|0):\n partial_list: #\\s(pragma\|PRAGMA)[:\\s]?\\s(no\|NO)\\s(branch\|BRANCH)\n paths: {}\n plugin_options: {'coverage_conditional_plugin': {'omit': {\"sys_platform == 'win32'\": ['uvicorn/loops/uvloop.py'], \"sys_platform != 'win32'\": ['uvicorn/loops/asyncio.py']}, 'rules': {'py-win32': \"sys_platform == 'win32'\", 'py-not-win32': \"sys_platform != 'win32'\", 'py-linux': \"sys_platform == 'linux'\", 'py-darwin': \"sys_platform == 'darwin'\", 'py-gte-38': 'sys_version_info >= (3, 8)', 'py-lt-38': 'sys_version_info < (3, 8)', 'py-gte-39': 'sys_version_info >= (3, 9)', 'py-lt-39': 'sys_version_info < (3, 9)', 'py-gte-310': 'sys_version_info >= (3, 10)', 'py-lt-310': 'sys_version_info < (3, 10)', 'py-gte-311': 'sys_version_info >= (3, 11)', 'py-lt-311': 'sys_version_info < (3, 11)'}}}\n plugins: coverage_conditional_plugin\n precision: 2\n relative_files: False\n report_contexts: None\n report_include: None\n report_omit: None\n run_include: -none-\n run_omit: uvicorn/workers.py\n uvicorn/__main__.py\n uvicorn/loops/asyncio.py\n show_contexts: False\n show_missing: True\n sigterm: False\n skip_covered: True\n skip_empty: False\n sort: None\n source: None\n source_pkgs: uvicorn\n tests\n timid: False\n xml_output: coverage.xml\n xml_package_depth: 99\n-- end -------------------------------------------------------\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/uvicorn/uvicorn\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1, mock-3.12.0\ncollected 565 items\n\ntests/test_auto_detection.py ... [ 0%]\ntests/test_cli.py .............. [ 3%]\ntests/test_config.py ................................................... [ 12%]\n........................................................ [ 21%]\ntests/test_default_headers.py ...... [ 23%]\ntests/test_lifespan.py ................ [ 25%]\ntests/test_main.py ......... [ 27%]\ntests/test_ssl.py .... [ 28%]\ntests/test_subprocess.py .. [ 28%]\ntests/importer/test_importer.py ....... [ 29%]\ntests/middleware/test_logging.py .............. [ 32%]\ntests/middleware/test_message_logger.py .. [ 32%]\ntests/middleware/test_proxy_headers.py ............... [ 35%]\ntests/middleware/test_wsgi.py ........... [ 37%]\ntests/protocols/test_http.py ........................................... [ 44%]\n............................................................... [ 55%]\ntests/protocols/test_utils.py ...... [ 56%]\ntests/protocols/test_websocket.py ...................................... [ 63%]\n........................................................................ [ 76%]\n........................................................FF......FF..FF.. [ 89%]\n.................... [ 92%]\ntests/supervisors/test_multiprocess.py . [ 92%]\ntests/supervisors/test_reload.py ..................................... [ 99%]\ntests/supervisors/test_signal.py ... [100%]\n\n=================================== FAILURES ===================================\n____ test_server_reject_connection_with_body_nolength[websockets-httptools] ____\n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n> yield\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_transports/default.py:67: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_transports/default.py:371: in handle_async_request\n resp = await self._pool.handle_async_request(req)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/connection_pool.py:268: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/connection_pool.py:251: in handle_async_request\n response = await connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/connection.py:103: in handle_async_request\n return await self._connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/http11.py:133: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/http11.py:111: in handle_async_request\n ) = await self._receive_response_headers(kwargs)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/http11.py:176: in _receive_response_headers\n event = await self._receive_event(timeout=timeout)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <AsyncHTTP11Connection ['http://127.0.0.1:38783', CLOSED, Request Count: 1]>\ntimeout = 5.0\n\n async def _receive_event(\n self, timeout: Optional[float] = None\n ) -> Union[h11.Event, Type[h11.PAUSED]]:\n while True:\n with map_exceptions({h11.RemoteProtocolError: RemoteProtocolError}):\n event = self._h11_state.next_event()\n \n if event is h11.NEED_DATA:\n data = await self._network_stream.read(\n self.READ_NUM_BYTES, timeout=timeout\n )\n \n # If we feed this case through h11 we'll raise an exception like:\n #\n # httpcore.RemoteProtocolError: can't handle event type\n # ConnectionClosed when role=SERVER and state=SEND_RESPONSE\n #\n # Which is accurate, but not very informative from an end-user\n # perspective. Instead we handle this case distinctly and treat\n # it as a ConnectError.\n if data == b\"\" and self._h11_state.their_state == h11.SEND_RESPONSE:\n msg = \"Server disconnected without sending a response.\"\n> raise RemoteProtocolError(msg)\nE httpcore.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/http11.py:226: RemoteProtocolError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = <class 'uvicorn.protocols.websockets.websockets_impl.WebSocketProtocol'>\nhttp_protocol_cls = <class 'uvicorn.protocols.http.httptools_impl.HttpToolsProtocol'>\nunused_tcp_port = 38783\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_body_nolength(\n ws_protocol_cls: \"typing.Type[WSProtocol \| WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol \| HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n # test that the server can send a response with a body but no content-length\n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n await send(\n {\n \"type\": \"websocket.http.response.start\",\n \"status\": 403,\n \"headers\": [],\n }\n )\n await send({\"type\": \"websocket.http.response.body\", \"body\": b\"hardbody\"})\n \n async def websocket_session(url):\n response = await wsresponse(url)\n assert response.status_code == 403\n assert response.content == b\"hardbody\"\n if ws_protocol_cls == WSProtocol: # pragma: no cover\n # wsproto automatically makes the message chunked\n assert response.headers[\"transfer-encoding\"] == \"chunked\"\n else: # pragma: no cover\n # websockets automatically adds a content-length\n assert response.headers[\"content-length\"] == \"8\"\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1219: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1201: in websocket_session\n response = await wsresponse(url)\ntests/protocols/test_websocket.py:73: in wsresponse\n return await client.get(url, headers=headers)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1786: in get\n return await self.request(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1559: in request\n return await self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1646: in send\n response = await self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1674: in _send_handling_auth\n response = await self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1711: in _send_handling_redirects\n response = await self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1748: in _send_single_request\n response = await transport.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_transports/default.py:370: in handle_async_request\n with map_httpcore_exceptions():\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/contextlib.py:153: in __exit__\n self.gen.throw(typ, value, traceback)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n yield\n except Exception as exc:\n mapped_exc = None\n \n for from_exc, to_exc in HTTPCORE_EXC_MAP.items():\n if not isinstance(exc, from_exc):\n continue\n # We want to map to the most specific exception we can find.\n # Eg if `exc` is an `httpcore.ReadTimeout`, we want to map to\n # `httpx.ReadTimeout`, not just `httpx.TimeoutException`.\n if mapped_exc is None or issubclass(to_exc, mapped_exc):\n mapped_exc = to_exc\n \n if mapped_exc is None: # pragma: no cover\n raise\n \n message = str(exc)\n> raise mapped_exc(message) from exc\nE httpx.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_transports/default.py:84: RemoteProtocolError\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [2074]\nINFO: Uvicorn running on http://127.0.0.1:38783 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 55940) - \"WebSocket /\" 403\nINFO: connection rejected (403 Forbidden)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [2074]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:38783 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 55940) - \"WebSocket /\" 403\nINFO uvicorn.error:server.py:229 connection rejected (403 Forbidden)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n_______ test_server_reject_connection_with_body_nolength[websockets-h11] _______\n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n> yield\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_transports/default.py:67: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_transports/default.py:371: in handle_async_request\n resp = await self._pool.handle_async_request(req)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/connection_pool.py:268: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/connection_pool.py:251: in handle_async_request\n response = await connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/connection.py:103: in handle_async_request\n return await self._connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/http11.py:133: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/http11.py:111: in handle_async_request\n ) = await self._receive_response_headers(kwargs)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/http11.py:176: in _receive_response_headers\n event = await self._receive_event(timeout=timeout)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <AsyncHTTP11Connection ['http://127.0.0.1:47113', CLOSED, Request Count: 1]>\ntimeout = 5.0\n\n async def _receive_event(\n self, timeout: Optional[float] = None\n ) -> Union[h11.Event, Type[h11.PAUSED]]:\n while True:\n with map_exceptions({h11.RemoteProtocolError: RemoteProtocolError}):\n event = self._h11_state.next_event()\n \n if event is h11.NEED_DATA:\n data = await self._network_stream.read(\n self.READ_NUM_BYTES, timeout=timeout\n )\n \n # If we feed this case through h11 we'll raise an exception like:\n #\n # httpcore.RemoteProtocolError: can't handle event type\n # ConnectionClosed when role=SERVER and state=SEND_RESPONSE\n #\n # Which is accurate, but not very informative from an end-user\n # perspective. Instead we handle this case distinctly and treat\n # it as a ConnectError.\n if data == b\"\" and self._h11_state.their_state == h11.SEND_RESPONSE:\n msg = \"Server disconnected without sending a response.\"\n> raise RemoteProtocolError(msg)\nE httpcore.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpcore/_async/http11.py:226: RemoteProtocolError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = <class 'uvicorn.protocols.websockets.websockets_impl.WebSocketProtocol'>\nhttp_protocol_cls = <class 'uvicorn.protocols.http.h11_impl.H11Protocol'>\nunused_tcp_port = 47113\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_body_nolength(\n ws_protocol_cls: \"typing.Type[WSProtocol \| WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol \| HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n # test that the server can send a response with a body but no content-length\n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n await send(\n {\n \"type\": \"websocket.http.response.start\",\n \"status\": 403,\n \"headers\": [],\n }\n )\n await send({\"type\": \"websocket.http.response.body\", \"body\": b\"hardbody\"})\n \n async def websocket_session(url):\n response = await wsresponse(url)\n assert response.status_code == 403\n assert response.content == b\"hardbody\"\n if ws_protocol_cls == WSProtocol: # pragma: no cover\n # wsproto automatically makes the message chunked\n assert response.headers[\"transfer-encoding\"] == \"chunked\"\n else: # pragma: no cover\n # websockets automatically adds a content-length\n assert response.headers[\"content-length\"] == \"8\"\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1219: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1201: in websocket_session\n response = await wsresponse(url)\ntests/protocols/test_websocket.py:73: in wsresponse\n return await client.get(url, headers=headers)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1786: in get\n return await self.request(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1559: in request\n return await self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1646: in send\n response = await self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1674: in _send_handling_auth\n response = await self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1711: in _send_handling_redirects\n response = await self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_client.py:1748: in _send_single_request\n response = await transport.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_transports/default.py:370: in handle_async_request\n with map_httpcore_exceptions():\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/contextlib.py:153: in __exit__\n self.gen.throw(typ, value, traceback)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n yield\n except Exception as exc:\n mapped_exc = None\n \n for from_exc, to_exc in HTTPCORE_EXC_MAP.items():\n if not isinstance(exc, from_exc):\n continue\n # We want to map to the most specific exception we can find.\n # Eg if `exc` is an `httpcore.ReadTimeout`, we want to map to\n # `httpx.ReadTimeout`, not just `httpx.TimeoutException`.\n if mapped_exc is None or issubclass(to_exc, mapped_exc):\n mapped_exc = to_exc\n \n if mapped_exc is None: # pragma: no cover\n raise\n \n message = str(exc)\n> raise mapped_exc(message) from exc\nE httpx.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/httpx/_transports/default.py:84: RemoteProtocolError\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [2074]\nINFO: Uvicorn running on http://127.0.0.1:47113 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 38322) - \"WebSocket /\" 403\nINFO: connection rejected (403 Forbidden)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [2074]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:47113 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 38322) - \"WebSocket /\" 403\nINFO uvicorn.error:server.py:229 connection rejected (403 Forbidden)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n____ test_server_reject_connection_with_missing_body[websockets-httptools] _____\n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x560257c7aaa0>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x560257c7aaa0>>\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32 KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8 KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7f6141edb670>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x560257c7aaa0>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = <class 'uvicorn.protocols.websockets.websockets_impl.WebSocketProtocol'>\nhttp_protocol_cls = <class 'uvicorn.protocols.http.httptools_impl.HttpToolsProtocol'>\nunused_tcp_port = 42645\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_missing_body(\n ws_protocol_cls: \"typing.Type[WSProtocol \| WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol \| HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n async def app(scope, receive, send):\n assert scope[\"type\"] == \"websocket\"\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n message = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(message)\n # no further message\n \n async def websocket_session(url):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass # pragma: no cover\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1298: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1286: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7f6141edb670>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [2074]\nINFO: Uvicorn running on http://127.0.0.1:42645 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 49068) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [2074]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:42645 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 49068) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n_______ test_server_reject_connection_with_missing_body[websockets-h11] ________\n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x560257c7a7f0>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x560257c7a7f0>>\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32 KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8 KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7f6141f96020>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x560257c7a7f0>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = <class 'uvicorn.protocols.websockets.websockets_impl.WebSocketProtocol'>\nhttp_protocol_cls = <class 'uvicorn.protocols.http.h11_impl.H11Protocol'>\nunused_tcp_port = 49901\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_missing_body(\n ws_protocol_cls: \"typing.Type[WSProtocol \| WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol \| HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n async def app(scope, receive, send):\n assert scope[\"type\"] == \"websocket\"\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n message = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(message)\n # no further message\n \n async def websocket_session(url):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass # pragma: no cover\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1298: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1286: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7f6141f96020>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [2074]\nINFO: Uvicorn running on http://127.0.0.1:49901 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 53884) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [2074]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:49901 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 53884) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n_ test_server_multiple_websocket_http_response_start_events[websockets-httptools] _\n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x560258130900>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x560258130900>>\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32 KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8 KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7f6141fdcfd0>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x560258130900>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = <class 'uvicorn.protocols.websockets.websockets_impl.WebSocketProtocol'>\nhttp_protocol_cls = <class 'uvicorn.protocols.http.httptools_impl.HttpToolsProtocol'>\nunused_tcp_port = 54991\n\n @pytest.mark.anyio\n async def test_server_multiple_websocket_http_response_start_events(\n ws_protocol_cls: \"typing.Type[WSProtocol \| WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol \| HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n \"\"\"\n The server should raise an exception if it sends multiple\n websocket.http.response.start events.\n \"\"\"\n exception_message: typing.Optional[str] = None\n \n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n nonlocal exception_message\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n start_event: WebSocketResponseStartEvent = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(start_event)\n try:\n await send(start_event)\n except Exception as exc:\n exception_message = str(exc)\n \n async def websocket_session(url: str):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1348: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1336: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7f6141fdcfd0>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [2074]\nINFO: Uvicorn running on http://127.0.0.1:54991 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 39844) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [2074]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:54991 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 39844) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n__ test_server_multiple_websocket_http_response_start_events[websockets-h11] ___\n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x5602580388e0>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x5602580388e0>>\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32 KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8 KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7f6141ca2ad0>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x5602580388e0>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = <class 'uvicorn.protocols.websockets.websockets_impl.WebSocketProtocol'>\nhttp_protocol_cls = <class 'uvicorn.protocols.http.h11_impl.H11Protocol'>\nunused_tcp_port = 57457\n\n @pytest.mark.anyio\n async def test_server_multiple_websocket_http_response_start_events(\n ws_protocol_cls: \"typing.Type[WSProtocol \| WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol \| HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n \"\"\"\n The server should raise an exception if it sends multiple\n websocket.http.response.start events.\n \"\"\"\n exception_message: typing.Optional[str] = None\n \n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n nonlocal exception_message\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n start_event: WebSocketResponseStartEvent = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(start_event)\n try:\n await send(start_event)\n except Exception as exc:\n exception_message = str(exc)\n \n async def websocket_session(url: str):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1348: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1336: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7f6141ca2ad0>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [2074]\nINFO: Uvicorn running on http://127.0.0.1:57457 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 39068) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [2074]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:57457 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 39068) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n=================== 6 failed, 559 passed in 66.13s (0:01:06) ===================\n##[error]Process completed with exit code 1.\n" }, { "step_name": "Python 3.11 ubuntu-latest/7_Run tests.txt", "log": "##[group]Run scripts/test\n\u001b[36;1mscripts/test\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n+ [ -z true ]\n+ coverage run --debug config -m pytest\n-- config ----------------------------------------------------\n attempted_config_files: .coveragerc\n setup.cfg\n tox.ini\n pyproject.toml\n branch: False\n command_line: None\n concurrency: -none-\n config_file: /home/runner/work/uvicorn/uvicorn/pyproject.toml\n config_files_read: /home/runner/work/uvicorn/uvicorn/pyproject.toml\n context: None\n cover_pylib: False\n data_file: .coverage\n debug: config\n debug_file: None\n disable_warnings: -none-\n dynamic_context: None\n exclude_also: -none-\n exclude_list: pragma: no cover\n pragma: nocover\n if TYPE_CHECKING:\n if typing.TYPE_CHECKING:\n raise NotImplementedError\n py-not-win32\n py-linux\n py-gte-38\n py-gte-39\n py-gte-310\n py-gte-311\n extra_css: None\n fail_under: 98.35\n format: None\n html_dir: htmlcov\n html_skip_covered: None\n html_skip_empty: None\n html_title: Coverage report\n ignore_errors: False\n include_namespace_packages: False\n json_output: coverage.json\n json_pretty_print: False\n json_show_contexts: False\n lcov_output: coverage.lcov\n parallel: False\n partial_always_list: while (True\|1\|False\|0):\n if (True\|1\|False\|0):\n partial_list: #\\s(pragma\|PRAGMA)[:\\s]?\\s(no\|NO)\\s(branch\|BRANCH)\n paths: {}\n plugin_options: {'coverage_conditional_plugin': {'omit': {\"sys_platform == 'win32'\": ['uvicorn/loops/uvloop.py'], \"sys_platform != 'win32'\": ['uvicorn/loops/asyncio.py']}, 'rules': {'py-win32': \"sys_platform == 'win32'\", 'py-not-win32': \"sys_platform != 'win32'\", 'py-linux': \"sys_platform == 'linux'\", 'py-darwin': \"sys_platform == 'darwin'\", 'py-gte-38': 'sys_version_info >= (3, 8)', 'py-lt-38': 'sys_version_info < (3, 8)', 'py-gte-39': 'sys_version_info >= (3, 9)', 'py-lt-39': 'sys_version_info < (3, 9)', 'py-gte-310': 'sys_version_info >= (3, 10)', 'py-lt-310': 'sys_version_info < (3, 10)', 'py-gte-311': 'sys_version_info >= (3, 11)', 'py-lt-311': 'sys_version_info < (3, 11)'}}}\n plugins: coverage_conditional_plugin\n precision: 2\n relative_files: False\n report_contexts: None\n report_include: None\n report_omit: None\n run_include: -none-\n run_omit: uvicorn/workers.py\n uvicorn/__main__.py\n uvicorn/loops/asyncio.py\n show_contexts: False\n show_missing: True\n sigterm: False\n skip_covered: True\n skip_empty: False\n sort: None\n source: None\n source_pkgs: uvicorn\n tests\n timid: False\n xml_output: coverage.xml\n xml_package_depth: 99\n-- end -------------------------------------------------------\n============================= test session starts ==============================\nplatform linux -- Python 3.11.7, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/uvicorn/uvicorn\nconfigfile: pyproject.toml\nplugins: anyio-3.7.1, mock-3.12.0\ncollected 565 items\n\ntests/test_auto_detection.py ... [ 0%]\ntests/test_cli.py .............. [ 3%]\ntests/test_config.py ................................................... [ 12%]\n........................................................ [ 21%]\ntests/test_default_headers.py ...... [ 23%]\ntests/test_lifespan.py ................ [ 25%]\ntests/test_main.py ......... [ 27%]\ntests/test_ssl.py .... [ 28%]\ntests/test_subprocess.py .. [ 28%]\ntests/importer/test_importer.py ....... [ 29%]\ntests/middleware/test_logging.py .............. [ 32%]\ntests/middleware/test_message_logger.py .. [ 32%]\ntests/middleware/test_proxy_headers.py ............... [ 35%]\ntests/middleware/test_wsgi.py ........... [ 37%]\ntests/protocols/test_http.py ........................................... [ 44%]\n............................................................... [ 55%]\ntests/protocols/test_utils.py ...... [ 56%]\ntests/protocols/test_websocket.py ...................................... [ 63%]\n........................................................................ [ 76%]\n........................................................FF......FF..FF.. [ 89%]\n.................... [ 92%]\ntests/supervisors/test_multiprocess.py . [ 92%]\ntests/supervisors/test_reload.py ..................................... [ 99%]\ntests/supervisors/test_signal.py ... [100%]\n\n=================================== FAILURES ===================================\n____ test_server_reject_connection_with_body_nolength[websockets-httptools] ____\n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n> yield\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_transports/default.py:67: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_transports/default.py:371: in handle_async_request\n resp = await self._pool.handle_async_request(req)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/connection_pool.py:268: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/connection_pool.py:251: in handle_async_request\n response = await connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/connection.py:103: in handle_async_request\n return await self._connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/http11.py:133: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/http11.py:111: in handle_async_request\n ) = await self._receive_response_headers(kwargs)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/http11.py:176: in _receive_response_headers\n event = await self._receive_event(timeout=timeout)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <AsyncHTTP11Connection ['http://127.0.0.1:58977', CLOSED, Request Count: 1]>\ntimeout = 5.0\n\n async def _receive_event(\n self, timeout: Optional[float] = None\n ) -> Union[h11.Event, Type[h11.PAUSED]]:\n while True:\n with map_exceptions({h11.RemoteProtocolError: RemoteProtocolError}):\n event = self._h11_state.next_event()\n \n if event is h11.NEED_DATA:\n data = await self._network_stream.read(\n self.READ_NUM_BYTES, timeout=timeout\n )\n \n # If we feed this case through h11 we'll raise an exception like:\n #\n # httpcore.RemoteProtocolError: can't handle event type\n # ConnectionClosed when role=SERVER and state=SEND_RESPONSE\n #\n # Which is accurate, but not very informative from an end-user\n # perspective. Instead we handle this case distinctly and treat\n # it as a ConnectError.\n if data == b\"\" and self._h11_state.their_state == h11.SEND_RESPONSE:\n msg = \"Server disconnected without sending a response.\"\n> raise RemoteProtocolError(msg)\nE httpcore.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/http11.py:226: RemoteProtocolError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = <class 'uvicorn.protocols.websockets.websockets_impl.WebSocketProtocol'>\nhttp_protocol_cls = <class 'uvicorn.protocols.http.httptools_impl.HttpToolsProtocol'>\nunused_tcp_port = 58977\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_body_nolength(\n ws_protocol_cls: \"typing.Type[WSProtocol \| WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol \| HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n # test that the server can send a response with a body but no content-length\n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n await send(\n {\n \"type\": \"websocket.http.response.start\",\n \"status\": 403,\n \"headers\": [],\n }\n )\n await send({\"type\": \"websocket.http.response.body\", \"body\": b\"hardbody\"})\n \n async def websocket_session(url):\n response = await wsresponse(url)\n assert response.status_code == 403\n assert response.content == b\"hardbody\"\n if ws_protocol_cls == WSProtocol: # pragma: no cover\n # wsproto automatically makes the message chunked\n assert response.headers[\"transfer-encoding\"] == \"chunked\"\n else: # pragma: no cover\n # websockets automatically adds a content-length\n assert response.headers[\"content-length\"] == \"8\"\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1219: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1201: in websocket_session\n response = await wsresponse(url)\ntests/protocols/test_websocket.py:73: in wsresponse\n return await client.get(url, headers=headers)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1786: in get\n return await self.request(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1559: in request\n return await self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1646: in send\n response = await self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1674: in _send_handling_auth\n response = await self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1711: in _send_handling_redirects\n response = await self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1748: in _send_single_request\n response = await transport.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_transports/default.py:370: in handle_async_request\n with map_httpcore_exceptions():\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/contextlib.py:158: in __exit__\n self.gen.throw(typ, value, traceback)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n yield\n except Exception as exc:\n mapped_exc = None\n \n for from_exc, to_exc in HTTPCORE_EXC_MAP.items():\n if not isinstance(exc, from_exc):\n continue\n # We want to map to the most specific exception we can find.\n # Eg if `exc` is an `httpcore.ReadTimeout`, we want to map to\n # `httpx.ReadTimeout`, not just `httpx.TimeoutException`.\n if mapped_exc is None or issubclass(to_exc, mapped_exc):\n mapped_exc = to_exc\n \n if mapped_exc is None: # pragma: no cover\n raise\n \n message = str(exc)\n> raise mapped_exc(message) from exc\nE httpx.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_transports/default.py:84: RemoteProtocolError\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1915]\nINFO: Uvicorn running on http://127.0.0.1:58977 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 39748) - \"WebSocket /\" 403\nINFO: connection rejected (403 Forbidden)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1915]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:58977 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 39748) - \"WebSocket /\" 403\nINFO uvicorn.error:server.py:229 connection rejected (403 Forbidden)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n_______ test_server_reject_connection_with_body_nolength[websockets-h11] _______\n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n> yield\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_transports/default.py:67: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_transports/default.py:371: in handle_async_request\n resp = await self._pool.handle_async_request(req)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/connection_pool.py:268: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/connection_pool.py:251: in handle_async_request\n response = await connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/connection.py:103: in handle_async_request\n return await self._connection.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/http11.py:133: in handle_async_request\n raise exc\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/http11.py:111: in handle_async_request\n ) = await self._receive_response_headers(*kwargs)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/http11.py:176: in _receive_response_headers\n event = await self._receive_event(timeout=timeout)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <AsyncHTTP11Connection ['http://127.0.0.1:34651', CLOSED, Request Count: 1]>\ntimeout = 5.0\n\n async def _receive_event(\n self, timeout: Optional[float] = None\n ) -> Union[h11.Event, Type[h11.PAUSED]]:\n while True:\n with map_exceptions({h11.RemoteProtocolError: RemoteProtocolError}):\n event = self._h11_state.next_event()\n \n if event is h11.NEED_DATA:\n data = await self._network_stream.read(\n self.READ_NUM_BYTES, timeout=timeout\n )\n \n # If we feed this case through h11 we'll raise an exception like:\n #\n # httpcore.RemoteProtocolError: can't handle event type\n # ConnectionClosed when role=SERVER and state=SEND_RESPONSE\n #\n # Which is accurate, but not very informative from an end-user\n # perspective. Instead we handle this case distinctly and treat\n # it as a ConnectError.\n if data == b\"\" and self._h11_state.their_state == h11.SEND_RESPONSE:\n msg = \"Server disconnected without sending a response.\"\n> raise RemoteProtocolError(msg)\nE httpcore.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpcore/_async/http11.py:226: RemoteProtocolError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = <class 'uvicorn.protocols.websockets.websockets_impl.WebSocketProtocol'>\nhttp_protocol_cls = <class 'uvicorn.protocols.http.h11_impl.H11Protocol'>\nunused_tcp_port = 34651\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_body_nolength(\n ws_protocol_cls: \"typing.Type[WSProtocol \| WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol \| HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n # test that the server can send a response with a body but no content-length\n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n await send(\n {\n \"type\": \"websocket.http.response.start\",\n \"status\": 403,\n \"headers\": [],\n }\n )\n await send({\"type\": \"websocket.http.response.body\", \"body\": b\"hardbody\"})\n \n async def websocket_session(url):\n response = await wsresponse(url)\n assert response.status_code == 403\n assert response.content == b\"hardbody\"\n if ws_protocol_cls == WSProtocol: # pragma: no cover\n # wsproto automatically makes the message chunked\n assert response.headers[\"transfer-encoding\"] == \"chunked\"\n else: # pragma: no cover\n # websockets automatically adds a content-length\n assert response.headers[\"content-length\"] == \"8\"\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1219: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1201: in websocket_session\n response = await wsresponse(url)\ntests/protocols/test_websocket.py:73: in wsresponse\n return await client.get(url, headers=headers)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1786: in get\n return await self.request(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1559: in request\n return await self.send(request, auth=auth, follow_redirects=follow_redirects)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1646: in send\n response = await self._send_handling_auth(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1674: in _send_handling_auth\n response = await self._send_handling_redirects(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1711: in _send_handling_redirects\n response = await self._send_single_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_client.py:1748: in _send_single_request\n response = await transport.handle_async_request(request)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_transports/default.py:370: in handle_async_request\n with map_httpcore_exceptions():\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/contextlib.py:158: in __exit__\n self.gen.throw(typ, value, traceback)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n @contextlib.contextmanager\n def map_httpcore_exceptions() -> typing.Iterator[None]:\n try:\n yield\n except Exception as exc:\n mapped_exc = None\n \n for from_exc, to_exc in HTTPCORE_EXC_MAP.items():\n if not isinstance(exc, from_exc):\n continue\n # We want to map to the most specific exception we can find.\n # Eg if `exc` is an `httpcore.ReadTimeout`, we want to map to\n # `httpx.ReadTimeout`, not just `httpx.TimeoutException`.\n if mapped_exc is None or issubclass(to_exc, mapped_exc):\n mapped_exc = to_exc\n \n if mapped_exc is None: # pragma: no cover\n raise\n \n message = str(exc)\n> raise mapped_exc(message) from exc\nE httpx.RemoteProtocolError: Server disconnected without sending a response.\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/httpx/_transports/default.py:84: RemoteProtocolError\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1915]\nINFO: Uvicorn running on http://127.0.0.1:34651 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 33874) - \"WebSocket /\" 403\nINFO: connection rejected (403 Forbidden)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1915]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:34651 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 33874) - \"WebSocket /\" 403\nINFO uvicorn.error:server.py:229 connection rejected (403 Forbidden)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n____ test_server_reject_connection_with_missing_body[websockets-httptools] _____\n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x5565a54387b0>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x5565a54387b0>>\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32 KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8 KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7f98409d1750>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x5565a54387b0>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = <class 'uvicorn.protocols.websockets.websockets_impl.WebSocketProtocol'>\nhttp_protocol_cls = <class 'uvicorn.protocols.http.httptools_impl.HttpToolsProtocol'>\nunused_tcp_port = 41033\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_missing_body(\n ws_protocol_cls: \"typing.Type[WSProtocol \| WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol \| HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n async def app(scope, receive, send):\n assert scope[\"type\"] == \"websocket\"\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n message = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(message)\n # no further message\n \n async def websocket_session(url):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass # pragma: no cover\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1298: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1286: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7f98409d1750>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1915]\nINFO: Uvicorn running on http://127.0.0.1:41033 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 36320) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1915]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:41033 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 36320) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n_______ test_server_reject_connection_with_missing_body[websockets-h11] ________\n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x5565a5438500>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x5565a5438500>>\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32 KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8 KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7f9840e04550>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x5565a5438500>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = <class 'uvicorn.protocols.websockets.websockets_impl.WebSocketProtocol'>\nhttp_protocol_cls = <class 'uvicorn.protocols.http.h11_impl.H11Protocol'>\nunused_tcp_port = 36033\n\n @pytest.mark.anyio\n async def test_server_reject_connection_with_missing_body(\n ws_protocol_cls: \"typing.Type[WSProtocol \| WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol \| HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n async def app(scope, receive, send):\n assert scope[\"type\"] == \"websocket\"\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n message = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(message)\n # no further message\n \n async def websocket_session(url):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass # pragma: no cover\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1298: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1286: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7f9840e04550>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1915]\nINFO: Uvicorn running on http://127.0.0.1:36033 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 50070) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1915]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:36033 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 50070) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n_ test_server_multiple_websocket_http_response_start_events[websockets-httptools] _\n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x5565a58897f0>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x5565a58897f0>>\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32 KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8 KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7f9840dc7fd0>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x5565a58897f0>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = <class 'uvicorn.protocols.websockets.websockets_impl.WebSocketProtocol'>\nhttp_protocol_cls = <class 'uvicorn.protocols.http.httptools_impl.HttpToolsProtocol'>\nunused_tcp_port = 57873\n\n @pytest.mark.anyio\n async def test_server_multiple_websocket_http_response_start_events(\n ws_protocol_cls: \"typing.Type[WSProtocol \| WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol \| HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n \"\"\"\n The server should raise an exception if it sends multiple\n websocket.http.response.start events.\n \"\"\"\n exception_message: typing.Optional[str] = None\n \n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n nonlocal exception_message\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n start_event: WebSocketResponseStartEvent = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(start_event)\n try:\n await send(start_event)\n except Exception as exc:\n exception_message = str(exc)\n \n async def websocket_session(url: str):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1348: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1336: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7f9840dc7fd0>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1915]\nINFO: Uvicorn running on http://127.0.0.1:57873 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 59494) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1915]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:57873 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 59494) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n__ test_server_multiple_websocket_http_response_start_events[websockets-h11] ___\n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x5565a58460a0>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n> status_line = await read_line(stream)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:120: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x5565a58460a0>>\n\n async def read_line(stream: asyncio.StreamReader) -> bytes:\n \"\"\"\n Read a single line from ``stream``.\n \n CRLF is stripped from the return value.\n \n \"\"\"\n # Security: this is bounded by the StreamReader's limit (default = 32 KiB).\n line = await stream.readline()\n # Security: this guarantees header values are small (hard-coded = 8 KiB)\n if len(line) > MAX_LINE:\n raise SecurityError(\"line too long\")\n # Not mandatory but safe - https://www.rfc-editor.org/rfc/rfc7230.html#section-3.5\n if not line.endswith(b\"\\r\\n\"):\n> raise EOFError(\"line without CRLF\")\nE EOFError: line without CRLF\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:200: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7f9840e07e10>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n> status_code, reason, headers = await read_response(self.reader)\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nstream = <StreamReader eof limit=32768 transport=<TCPTransport closed=True reading=False 0x5565a58460a0>>\n\n async def read_response(stream: asyncio.StreamReader) -> Tuple[int, str, Headers]:\n \"\"\"\n Read an HTTP/1.1 response and return ``(status_code, reason, headers)``.\n \n ``reason`` and ``headers`` are expected to contain only ASCII characters.\n Other characters are represented with surrogate escapes.\n \n :func:`read_request` doesn't attempt to read the response body because\n WebSocket handshake responses don't have one. If the response contains a\n body, it may be read from ``stream`` after this coroutine returns.\n \n Args:\n stream: Input to read the response from.\n \n Raises:\n EOFError: If the connection is closed without a full HTTP response.\n SecurityError: If the response exceeds a security limit.\n ValueError: If the response isn't well formatted.\n \n \"\"\"\n # https://www.rfc-editor.org/rfc/rfc7230.html#section-3.1.2\n \n # As in read_request, parsing is simple because a fixed value is expected\n # for version, status_code is a 3-digit number, and reason can be ignored.\n \n try:\n status_line = await read_line(stream)\n except EOFError as exc:\n> raise EOFError(\"connection closed while reading HTTP status line\") from exc\nE EOFError: connection closed while reading HTTP status line\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/http.py:122: EOFError\n\nThe above exception was the direct cause of the following exception:\n\nws_protocol_cls = <class 'uvicorn.protocols.websockets.websockets_impl.WebSocketProtocol'>\nhttp_protocol_cls = <class 'uvicorn.protocols.http.h11_impl.H11Protocol'>\nunused_tcp_port = 39787\n\n @pytest.mark.anyio\n async def test_server_multiple_websocket_http_response_start_events(\n ws_protocol_cls: \"typing.Type[WSProtocol \| WebSocketProtocol]\",\n http_protocol_cls: \"typing.Type[H11Protocol \| HttpToolsProtocol]\",\n unused_tcp_port: int,\n ):\n \"\"\"\n The server should raise an exception if it sends multiple\n websocket.http.response.start events.\n \"\"\"\n exception_message: typing.Optional[str] = None\n \n async def app(scope: Scope, receive: ASGIReceiveCallable, send: ASGISendCallable):\n nonlocal exception_message\n assert scope[\"type\"] == \"websocket\"\n assert \"extensions\" in scope\n assert \"websocket.http.response\" in scope[\"extensions\"]\n \n # Pull up first recv message.\n message = await receive()\n assert message[\"type\"] == \"websocket.connect\"\n \n start_event: WebSocketResponseStartEvent = {\n \"type\": \"websocket.http.response.start\",\n \"status\": 404,\n \"headers\": [(b\"Content-Length\", b\"0\"), (b\"Content-Type\", b\"text/plain\")],\n }\n await send(start_event)\n try:\n await send(start_event)\n except Exception as exc:\n exception_message = str(exc)\n \n async def websocket_session(url: str):\n with pytest.raises(websockets.exceptions.InvalidStatusCode) as exc_info:\n async with websockets.client.connect(url):\n pass\n assert exc_info.value.status_code == 404\n \n config = Config(\n app=app,\n ws=ws_protocol_cls,\n http=http_protocol_cls,\n lifespan=\"off\",\n port=unused_tcp_port,\n )\n async with run_server(config):\n> await websocket_session(f\"ws://127.0.0.1:{unused_tcp_port}\")\n\ntests/protocols/test_websocket.py:1348: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/protocols/test_websocket.py:1336: in websocket_session\n async with websockets.client.connect(url):\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:629: in __aenter__\n return await self\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:647: in __await_impl_timeout__\n return await self.__await_impl__()\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:654: in __await_impl__\n await protocol.handshake(\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:319: in handshake\n status_code, response_headers = await self.read_http_response()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <websockets.legacy.client.WebSocketClientProtocol object at 0x7f9840e07e10>\n\n async def read_http_response(self) -> Tuple[int, Headers]:\n \"\"\"\n Read status line and headers from the HTTP response.\n \n If the response contains a body, it may be read from ``self.reader``\n after this coroutine returns.\n \n Raises:\n InvalidMessage: If the HTTP message is malformed or isn't an\n HTTP/1.1 GET response.\n \n \"\"\"\n try:\n status_code, reason, headers = await read_response(self.reader)\n except Exception as exc:\n> raise InvalidMessage(\"did not receive a valid HTTP response\") from exc\nE websockets.exceptions.InvalidMessage: did not receive a valid HTTP response\n\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/websockets/legacy/client.py:141: InvalidMessage\n----------------------------- Captured stderr call -----------------------------\nINFO: Started server process [1915]\nINFO: Uvicorn running on http://127.0.0.1:39787 (Press CTRL+C to quit)\nINFO: ('127.0.0.1', 43558) - \"WebSocket /\" 404\nINFO: connection rejected (404 Not Found)\nINFO: connection closed\nINFO: Shutting down\n------------------------------ Captured log call -------------------------------\nINFO uvicorn.error:server.py:77 Started server process [1915]\nINFO uvicorn.error:server.py:219 Uvicorn running on http://127.0.0.1:39787 (Press CTRL+C to quit)\nINFO uvicorn.error:websockets_impl.py:317 ('127.0.0.1', 43558) - \"WebSocket /\" 404\nINFO uvicorn.error:server.py:229 connection rejected (404 Not Found)\nINFO uvicorn.error:server.py:264 connection closed\nINFO uvicorn.error:server.py:265 Shutting down\n=================== 6 failed, 559 passed in 66.08s (0:01:06) ===================\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/uvicorn/protocols/websockets/websockets_impl.py b/uvicorn/protocols/websockets/websockets_impl.py index 44994b4..57350f6 100644 --- a/uvicorn/protocols/websockets/websockets_impl.py +++ b/uvicorn/protocols/websockets/websockets_impl.py @@ -271,11 +271,12 @@ class WebSocketProtocol(WebSocketServerProtocol): msg = "ASGI callable returned without sending handshake." self.logger.error(msg) self.send_500_response() + self.transport.close() elif result is not None: msg = "ASGI callable should return None, but returned '%s'." self.logger.error(msg, result) await self.handshake_completed_event.wait() - self.transport.close() + self.transport.close() async def asgi_send(self, message: "ASGISendEvent") -> None: message_type = message["type"]	2	[ "uvicorn/protocols/websockets/websockets_impl.py" ]	https://github.com/encode/uvicorn/tree/0b93d2da3b721c80dcb6a2993a23876a97498dd5	2024-01-17T22:42:54Z
Python	155	mindsdb	mindsdb	fix-dep-llama	MindsDB Code Checks	code_checks.yml	.github/workflows/code_checks.yml	mindsdb	e5b5fcb646e6fa9cab60fb4fff930888149b88fe	f8af681554f58ff4cc12e4c3a96421ac89377322	name: MindsDB Code Checks on: pull_request: branches: [stable, staging] jobs: check_requirements: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/[email protected] - name: Set up Python 3.8 uses: actions/[email protected] with: python-version: 3.9 - name: Check main requirements shell: bash run: \| pip install -r requirements/requirements-dev.txt python tests/scripts/check_requirements.py - name: Check requirements files are installable shell: bash run: \| pip install --dry-run --ignore-installed . # Install only the default handlers. We can expand this to all handlers later with: .[all_handlers_extras] env: PIP_INDEX_URL: http://localhost:8629/2024-01-19 UV_INDEX_URL: http://localhost:8629/2024-01-19	[ { "step_name": "check_requirements/4_Check main requirements.txt", "log": "##[group]Run pip install -r requirements/requirements-dev.txt\n\u001b[36;1mpip install -r requirements/requirements-dev.txt\u001b[0m\n\u001b[36;1m\u001b[0m\n\u001b[36;1mpython tests/scripts/check_requirements.py\u001b[0m\nshell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nCollecting black==23.3.0 (from -r requirements/requirements-dev.txt (line 1))\n Downloading black-23.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 34.8 MB/s eta 0:00:00\nCollecting flake8==5.0.4 (from -r requirements/requirements-dev.txt (line 2))\n Downloading flake8-5.0.4-py2.py3-none-any.whl (61 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 61.9/61.9 kB 16.0 MB/s eta 0:00:00\nCollecting isort==5.10.1 (from -r requirements/requirements-dev.txt (line 3))\n Downloading isort-5.10.1-py3-none-any.whl (103 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 103.4/103.4 kB 23.7 MB/s eta 0:00:00\nCollecting pre-commit>=2.16.0 (from -r requirements/requirements-dev.txt (line 4))\n Downloading pre_commit-3.6.0-py2.py3-none-any.whl.metadata (1.3 kB)\nCollecting watchfiles==0.19.0 (from -r requirements/requirements-dev.txt (line 5))\n Downloading watchfiles-0.19.0-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.3/1.3 MB 95.8 MB/s eta 0:00:00\nRequirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages (from -r requirements/requirements-dev.txt (line 6)) (58.1.0)\nCollecting wheel (from -r requirements/requirements-dev.txt (line 7))\n Downloading wheel-0.42.0-py3-none-any.whl.metadata (2.2 kB)\nCollecting deptry==0.12.0 (from -r requirements/requirements-dev.txt (line 8))\n Downloading deptry-0.12.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting twine (from -r requirements/requirements-dev.txt (line 9))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting click>=8.0.0 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting mypy-extensions>=0.4.3 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting packaging>=22.0 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec>=0.9.0 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading pathspec-0.12.1-py3-none-any.whl.metadata (21 kB)\nCollecting platformdirs>=2 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nCollecting tomli>=1.1.0 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting typing-extensions>=3.10.0.0 (from black==23.3.0->-r requirements/requirements-dev.txt (line 1))\n Downloading typing_extensions-4.9.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting mccabe<0.8.0,>=0.7.0 (from flake8==5.0.4->-r requirements/requirements-dev.txt (line 2))\n Downloading mccabe-0.7.0-py2.py3-none-any.whl (7.3 kB)\nCollecting pycodestyle<2.10.0,>=2.9.0 (from flake8==5.0.4->-r requirements/requirements-dev.txt (line 2))\n Downloading 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kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 443.4/443.4 kB 74.5 MB/s eta 0:00:00\nInstalling collected packages: nh3, distlib, zipp, wheel, urllib3, typing-extensions, tomli, sniffio, rfc3986, pyyaml, Pygments, pyflakes, pycparser, pycodestyle, platformdirs, pkginfo, pathspec, packaging, nodeenv, mypy-extensions, more-itertools, mdurl, mccabe, jeepney, isort, idna, identify, filelock, exceptiongroup, docutils, click, charset-normalizer, chardet, cfgv, certifi, virtualenv, requests, readme-renderer, markdown-it-py, jaraco.classes, importlib-metadata, flake8, deptry, cffi, black, anyio, watchfiles, rich, requests-toolbelt, pre-commit, cryptography, SecretStorage, keyring, twine\nSuccessfully installed Pygments-2.17.2 SecretStorage-3.3.3 anyio-4.2.0 black-23.3.0 certifi-2023.11.17 cffi-1.16.0 cfgv-3.4.0 chardet-5.2.0 charset-normalizer-3.3.2 click-8.1.7 cryptography-41.0.7 deptry-0.12.0 distlib-0.3.8 docutils-0.20.1 exceptiongroup-1.2.0 filelock-3.13.1 flake8-5.0.4 identify-2.5.33 idna-3.6 importlib-metadata-7.0.1 isort-5.10.1 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.3.0 markdown-it-py-3.0.0 mccabe-0.7.0 mdurl-0.1.2 more-itertools-10.2.0 mypy-extensions-1.0.0 nh3-0.2.15 nodeenv-1.8.0 packaging-23.2 pathspec-0.12.1 pkginfo-1.9.6 platformdirs-4.1.0 pre-commit-3.6.0 pycodestyle-2.9.1 pycparser-2.21 pyflakes-2.5.0 pyyaml-6.0.1 readme-renderer-42.0 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 sniffio-1.3.0 tomli-2.0.1 twine-4.0.2 typing-extensions-4.9.0 urllib3-2.1.0 virtualenv-20.25.0 watchfiles-0.19.0 wheel-0.42.0 zipp-3.17.0\n\n[notice] A new release of pip is available: 23.0.1 -> 23.3.2\n[notice] To update, run: pip install --upgrade pip\n--- Checking requirements files for duplicates ---\n\n--- Checking that requirements match imports ---\n- mindsdb/integrations/handlers/rag_handler/requirements.txt\n None:None: DEP002 'sentence-transformers' defined as a dependency but not used in the codebase\n\n\n--- Checking handlers that require other handlers ---\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/tests/scripts/check_requirements.py b/tests/scripts/check_requirements.py index f15f826df8..5d74b7956b 100644 --- a/tests/scripts/check_requirements.py +++ b/tests/scripts/check_requirements.py @@ -46,7 +46,8 @@ MAIN_RULE_IGNORES = { # THe following packages need exceptions because they are optional deps of some other packages. e.g. langchain CAN use openai # (pysqlite3 is imported in an unusual way in the chromadb handler and needs to be excluded too) # pypdf and openpyxl are optional deps of langchain, that are used for the file handler -OPTIONAL_HANDLER_DEPS = ["pysqlite3", "torch", "openai", "tiktoken", "wikipedia", "anthropic", "pypdf", "openpyxl"] +OPTIONAL_HANDLER_DEPS = ["pysqlite3", "torch", "openai", "tiktoken", "wikipedia", "anthropic", "pypdf", "openpyxl", + "sentence-transformers"] # List of rules we can ignore for specific packages # Here we ignore any packages in the main requirements.txt for "listed but not used" errors, because they will be used for the core code but not necessarily in a given handler	1	[ "tests/scripts/check_requirements.py" ]	https://github.com/mindsdb/mindsdb/tree/e5b5fcb646e6fa9cab60fb4fff930888149b88fe	2024-01-19T13:25:47Z
Python	158	mwaskom	seaborn	maint/pandas-2.2.0-compat	CI	ci.yaml	.github/workflows/ci.yaml	mwaskom	6cbb12e47665eda2c687b4431d6ce789e74ea4a4	a38dfd6e77b107ecc874260e2e30d56b7b8fb85a	name: CI on: push: branches: [master, v0.] pull_request: branches: master schedule: - cron: '0 6 * 1,4' # Each Monday and Thursday at 06:00 UTC workflow_dispatch: permissions: contents: read env: MPLBACKEND: Agg NB_KERNEL: python PIP_INDEX_URL: http://localhost:8629/2024-01-21 PYDEVD_DISABLE_FILE_VALIDATION: '1' SEABORN_DATA: ${{ github.workspace }}/seaborn-data UV_INDEX_URL: http://localhost:8629/2024-01-21 jobs: build-docs: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1 - name: Setup Python 3.11 uses: actions/setup-python@0a5c61591373683505ea898e09a3ea4f39ef2b9c # v5.0.0 with: python-version: "3.11" - name: Install seaborn run: \| pip install --upgrade pip pip install .[stats,docs] - name: Install pandoc run: \| wget https://github.com/jgm/pandoc/releases/download/3.1.11/pandoc-3.1.11-1-amd64.deb sudo dpkg -i pandoc-3.1.11-1-amd64.deb - name: Cache datasets run: \| git clone https://github.com/mwaskom/seaborn-data.git ls $SEABORN_DATA - name: Build docs env: SPHINXOPTS: -j `nproc` run: \| cd doc make -j `nproc` notebooks make html run-tests: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: matrix: python: ["3.8", "3.9", "3.10", "3.11", "3.12"] install: [full] deps: [latest] include: - python: "3.8" install: full deps: pinned - python: "3.11" install: light deps: latest steps: - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1 - name: Setup Python ${{ matrix.python }} uses: actions/setup-python@0a5c61591373683505ea898e09a3ea4f39ef2b9c # v5.0.0 with: python-version: ${{ matrix.python }} allow-prereleases: true - name: Install seaborn run: \| pip install --upgrade pip wheel if [[ ${{matrix.install}} == 'full' ]]; then EXTRAS=',stats'; fi if [[ ${{matrix.deps }} == 'pinned' ]]; then DEPS='-r ci/deps_pinned.txt'; fi pip install .[dev$EXTRAS] $DEPS - name: Run tests run: make test - name: Upload coverage uses: codecov/codecov-action@eaaf4bedf32dbdc6b720b63067d99c4d77d6047d # v3.1.4 if: ${{ success() }} lint: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: fail-fast: false steps: - name: Checkout uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1 - name: Setup Python uses: actions/setup-python@0a5c61591373683505ea898e09a3ea4f39ef2b9c # v5.0.0 - name: Install tools run: pip install mypy flake8 - name: Flake8 run: make lint - name: Type checking run: make typecheck	[ { "step_name": "run-tests (3.8, full, pinned)/5_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n NB_KERNEL: python\n MPLBACKEND: Agg\n SEABORN_DATA: /home/runner/work/seaborn/seaborn/seaborn-data\n PYDEVD_DISABLE_FILE_VALIDATION: 1\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\npytest -n auto --cov=seaborn --cov=tests --cov-config=setup.cfg tests\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.4, pluggy-1.3.0\nrootdir: /home/runner/work/seaborn/seaborn\nconfigfile: pyproject.toml\nplugins: xdist-3.5.0, cov-4.1.0\ncreated: 4/4 workers\n4 workers [2380 items]\n\n........................................................................ 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[100%]\n=================================== FAILURES ===================================\n_________________ TestBarPlot.test_datetime_native_scale_axis __________________\n[gw3] linux -- Python 3.8.18 /opt/hostedtoolcache/Python/3.8.18/x64/bin/python\n\n> ???\nE KeyError: 'ME'\n\npandas/_libs/tslibs/offsets.pyx:3502: KeyError\n\nThe above exception was the direct cause of the following exception:\n\n> ???\n\npandas/_libs/tslibs/offsets.pyx:3604: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n> ???\nE ValueError: Invalid frequency: ME\n\npandas/_libs/tslibs/offsets.pyx:3508: ValueError\n\nThe above exception was the direct cause of the following exception:\n\nself = <tests.test_categorical.TestBarPlot object at 0x7f2ce1dfd6d0>\n\n def test_datetime_native_scale_axis(self):\n \n> x = pd.date_range(\"2010-01-01\", periods=20, freq=\"ME\")\n\ntests/test_categorical.py:2081: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pandas/core/indexes/datetimes.py:1069: in date_range\n dtarr = DatetimeArray._generate_range(\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/pandas/core/arrays/datetimes.py:377: in _generate_range\n freq = to_offset(freq)\npandas/_libs/tslibs/offsets.pyx:3515: in pandas._libs.tslibs.offsets.to_offset\n ???\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n> ???\nE ValueError: Invalid frequency: ME\n\npandas/_libs/tslibs/offsets.pyx:3612: ValueError\n=============================== warnings summary ===============================\n../../../../../opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: 4 warnings\ntests/test_rcmod.py: 23 warnings\ntests/_core/test_plot.py: 392 warnings\ntests/_marks/test_bar.py: 34 warnings\ntests/_marks/test_area.py: 12 warnings\ntests/_marks/test_dot.py: 28 warnings\ntests/_marks/test_line.py: 66 warnings\ntests/_marks/test_text.py: 16 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The savefig.jpeg_quality rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The animation.avconv_args rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The animation.avconv_path rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The animation.html_args rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The keymap.all_axes rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The text.latex.preview rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/_core/test_plot.py::TestFacetInterface::test_layout_algo[constrained]\n /home/runner/work/seaborn/seaborn/seaborn/_core/plot.py:1002: UserWarning: There are no gridspecs with layoutgrids. Possibly did not call parent GridSpec with the \"figure\" keyword\n self._figure.savefig(loc, kwargs)\n\ntests/_core/test_scales.py::TestNominal::test_empty_data\n /home/runner/work/seaborn/seaborn/seaborn/_core/rules.py:170: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.\n if variable_type(pd.Series(order)) == \"numeric\":\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------- coverage: platform linux, python 3.8.18-final-0 -----------\nName Stmts Miss Cover\n------------------------------------------------------\nseaborn/__init__.py 16 0 100%\nseaborn/_base.py 762 19 98%\nseaborn/_compat.py 76 36 53%\nseaborn/_core/__init__.py 0 0 100%\nseaborn/_core/data.py 116 9 92%\nseaborn/_core/exceptions.py 10 1 90%\nseaborn/_core/groupby.py 54 0 100%\nseaborn/_core/moves.py 109 0 100%\nseaborn/_core/plot.py 827 11 99%\nseaborn/_core/properties.py 422 2 99%\nseaborn/_core/rules.py 63 3 95%\nseaborn/_core/scales.py 502 47 91%\nseaborn/_core/subplots.py 140 0 100%\nseaborn/_core/typing.py 25 1 96%\nseaborn/_docstrings.py 40 5 88%\nseaborn/_marks/__init__.py 0 0 100%\nseaborn/_marks/area.py 86 3 97%\nseaborn/_marks/bar.py 123 0 100%\nseaborn/_marks/base.py 132 2 98%\nseaborn/_marks/dot.py 92 0 100%\nseaborn/_marks/line.py 116 0 100%\nseaborn/_marks/text.py 33 0 100%\nseaborn/_statistics.py 325 5 98%\nseaborn/_stats/__init__.py 0 0 100%\nseaborn/_stats/aggregation.py 41 1 98%\nseaborn/_stats/base.py 26 1 96%\nseaborn/_stats/counting.py 96 0 100%\nseaborn/_stats/density.py 99 4 96%\nseaborn/_stats/order.py 30 3 90%\nseaborn/_stats/regression.py 23 1 96%\nseaborn/_testing.py 52 4 92%\nseaborn/algorithms.py 60 0 100%\nseaborn/axisgrid.py 1039 34 97%\nseaborn/categorical.py 1208 13 99%\nseaborn/distributions.py 952 34 96%\nseaborn/matrix.py 551 26 95%\nseaborn/miscplot.py 24 0 100%\nseaborn/objects.py 15 0 100%\nseaborn/palettes.py 249 1 99%\nseaborn/rcmod.py 104 0 100%\nseaborn/regression.py 336 11 97%\nseaborn/relational.py 287 1 99%\nseaborn/utils.py 375 14 96%\ntests/__init__.py 0 0 100%\ntests/_core/__init__.py 0 0 100%\ntests/_core/test_data.py 293 10 97%\ntests/_core/test_groupby.py 83 0 100%\ntests/_core/test_moves.py 231 0 100%\ntests/_core/test_plot.py 1556 39 97%\ntests/_core/test_properties.py 375 4 99%\ntests/_core/test_rules.py 72 0 100%\ntests/_core/test_scales.py 547 0 100%\ntests/_core/test_subplots.py 368 0 100%\ntests/_marks/__init__.py 0 0 100%\ntests/_marks/test_area.py 84 0 100%\ntests/_marks/test_bar.py 152 0 100%\ntests/_marks/test_base.py 102 0 100%\ntests/_marks/test_dot.py 136 0 100%\ntests/_marks/test_line.py 298 0 100%\ntests/_marks/test_text.py 98 1 99%\ntests/_stats/__init__.py 0 0 100%\ntests/_stats/test_aggregation.py 84 0 100%\ntests/_stats/test_counting.py 180 0 100%\ntests/_stats/test_density.py 142 3 98%\ntests/_stats/test_order.py 64 1 98%\ntests/_stats/test_regression.py 36 0 100%\ntests/conftest.py 107 1 99%\ntests/test_algorithms.py 110 0 100%\ntests/test_axisgrid.py 1314 25 98%\ntests/test_base.py 1008 3 99%\ntests/test_categorical.py 2169 48 98%\ntests/test_distributions.py 1526 12 99%\ntests/test_docstrings.py 19 0 100%\ntests/test_matrix.py 861 28 97%\ntests/test_miscplot.py 24 0 100%\ntests/test_objects.py 11 0 100%\ntests/test_palettes.py 304 0 100%\ntests/test_rcmod.py 189 21 89%\ntests/test_regression.py 441 6 99%\ntests/test_relational.py 1213 13 99%\ntests/test_statistics.py 489 2 99%\ntests/test_utils.py 382 4 99%\n------------------------------------------------------\nTOTAL 24704 513 98%\n\n=========================== short test summary info ============================\nFAILED tests/test_categorical.py::TestBarPlot::test_datetime_native_scale_axis - ValueError: Invalid frequency: ME\n= 1 failed, 2350 passed, 23 skipped, 6 xfailed, 692 warnings in 276.25s (0:04:36) =\nmake: * [Makefile:4: test] Error 1\n##[error]Process completed with exit code 2.\n" } ]	diff --git a/tests/test_categorical.py b/tests/test_categorical.py index 8e5fd41d..3df78247 100644 --- a/tests/test_categorical.py +++ b/tests/test_categorical.py @@ -2078,7 +2078,7 @@ class TestBarPlot(SharedAggTests): def test_datetime_native_scale_axis(self): - x = pd.date_range("2010-01-01", periods=20, freq="ME") + x = pd.date_range("2010-01-01", periods=20, freq="MS") y = np.arange(20) ax = barplot(x=x, y=y, native_scale=True) assert "Date" in ax.xaxis.get_major_locator().__class__.__name__	2	[ "tests/test_categorical.py" ]	https://github.com/mwaskom/seaborn/tree/6cbb12e47665eda2c687b4431d6ce789e74ea4a4	2024-01-21T01:27:28Z
Python	159	mwaskom	seaborn	plot/layout_rect	CI	ci.yaml	.github/workflows/ci.yaml	mwaskom	2201be21886bb82201f3c3487f5f1468f6e6ac81	596ad4f85f31f39bcedd2fbca935647b1a2fdf84	name: CI on: push: branches: [master, v0.] pull_request: branches: master schedule: - cron: '0 6 * 1,4' # Each Monday and Thursday at 06:00 UTC workflow_dispatch: permissions: contents: read env: MPLBACKEND: Agg NB_KERNEL: python PIP_INDEX_URL: http://localhost:8629/2023-12-09 SEABORN_DATA: ${{ github.workspace }}/seaborn-data UV_INDEX_URL: http://localhost:8629/2023-12-09 jobs: build-docs: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1 - name: Setup Python 3.11 uses: actions/setup-python@65d7f2d534ac1bc67fcd62888c5f4f3d2cb2b236 # v4.7.1 with: python-version: "3.11" - name: Install seaborn run: \| pip install --upgrade pip pip install .[stats,docs] - name: Install pandoc run: \| sudo apt-get install pandoc - name: Cache datasets run: \| git clone https://github.com/mwaskom/seaborn-data.git ls $SEABORN_DATA - name: Build docs env: SPHINXOPTS: -j `nproc` run: \| cd doc make -j `nproc` notebooks make html run-tests: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: matrix: python: ["3.8", "3.9", "3.10", "3.11", "3.12"] install: [full] deps: [latest] include: - python: "3.8" install: full deps: pinned - python: "3.11" install: light deps: latest steps: - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1 - name: Setup Python ${{ matrix.python }} uses: actions/setup-python@65d7f2d534ac1bc67fcd62888c5f4f3d2cb2b236 # v4.7.1 with: python-version: ${{ matrix.python }} allow-prereleases: true - name: Install seaborn run: \| pip install --upgrade pip wheel if [[ ${{matrix.install}} == 'full' ]]; then EXTRAS=',stats'; fi if [[ ${{matrix.deps }} == 'pinned' ]]; then DEPS='-r ci/deps_pinned.txt'; fi pip install .[dev$EXTRAS] $DEPS - name: Run tests run: make test - name: Upload coverage uses: codecov/codecov-action@eaaf4bedf32dbdc6b720b63067d99c4d77d6047d # v3.1.4 if: ${{ success() }} lint: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: fail-fast: false steps: - name: Checkout uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1 - name: Setup Python uses: actions/setup-python@65d7f2d534ac1bc67fcd62888c5f4f3d2cb2b236 # v4.7.1 - name: Install tools run: pip install mypy flake8 - name: Flake8 run: make lint - name: Type checking run: make typecheck	[ { "step_name": "build-docs/7_Build docs.txt", "log": "##[group]Run cd doc\n\u001b[36;1mcd doc\u001b[0m\n\u001b[36;1mmake -j `nproc` notebooks\u001b[0m\n\u001b[36;1mmake html\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n NB_KERNEL: python\n MPLBACKEND: Agg\n SEABORN_DATA: /home/runner/work/seaborn/seaborn/seaborn-data\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n SPHINXOPTS: -j `nproc`\n##[endgroup]\nmake[1]: Entering directory '/home/runner/work/seaborn/seaborn/doc/_tutorial'\n../tools/nb_to_doc.py aesthetics.ipynb ../tutorial\n../tools/nb_to_doc.py axis_grids.ipynb ../tutorial\nmake[1]: Entering directory '/home/runner/work/seaborn/seaborn/doc/_docstrings'\n../tools/nb_to_doc.py FacetGrid.ipynb ../docstrings\n../tools/nb_to_doc.py categorical.ipynb ../tutorial\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py JointGrid.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py PairGrid.ipynb ../docstrings\n0.01s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py color_palettes.ipynb ../tutorial\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py axes_style.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py data_structure.ipynb ../tutorial\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py barplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.01s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py blend_palette.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py distributions.ipynb ../tutorial\n../tools/nb_to_doc.py boxenplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py error_bars.ipynb ../tutorial\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py boxplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py function_overview.ipynb ../tutorial\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py catplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py clustermap.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py color_palette.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py introduction.ipynb ../tutorial\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py countplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py cubehelix_palette.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py dark_palette.ipynb ../docstrings\n../tools/nb_to_doc.py objects_interface.ipynb ../tutorial\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py displot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py diverging_palette.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py ecdfplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py heatmap.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py histplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.01s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py hls_palette.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py properties.ipynb ../tutorial\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py husl_palette.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py jointplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py regression.ipynb ../tutorial\n../tools/nb_to_doc.py kdeplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py relational.ipynb ../tutorial\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py light_palette.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.01s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py lineplot.ipynb ../docstrings\n../tools/nb_to_doc.py lmplot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.01s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.01s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py move_legend.ipynb ../docstrings\n../tools/nb_to_doc.py mpl_palette.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py objects.Agg.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Area.ipynb ../docstrings\n../tools/nb_to_doc.py objects.Band.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Bar.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\nmake[1]: Leaving directory '/home/runner/work/seaborn/seaborn/doc/_tutorial'\n../tools/nb_to_doc.py objects.Bars.ipynb ../docstrings\n../tools/nb_to_doc.py objects.Count.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py objects.Dash.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Dodge.ipynb ../docstrings\n../tools/nb_to_doc.py objects.Dot.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Dots.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Est.ipynb ../docstrings\n0.01s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Hist.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Jitter.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py objects.KDE.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py objects.Line.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Lines.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Norm.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Path.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Paths.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Perc.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Plot.add.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Plot.config.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Plot.facet.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Plot.label.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Plot.layout.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n../tools/nb_to_doc.py objects.Plot.limit.ipynb ../docstrings\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n../tools/nb_to_doc.py objects.Plot.on.ipynb ../docstrings\nTraceback (most recent call last):\n File \"/home/runner/work/seaborn/seaborn/doc/_docstrings/../tools/nb_to_doc.py\", line 126, in <module>\n ep.preprocess(nb, {\"metadata\": {\"path\": basedir}})\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/preprocessors/execute.py\", line 102, in preprocess\n self.preprocess_cell(cell, resources, index)\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/preprocessors/execute.py\", line 123, in preprocess_cell\n cell = self.execute_cell(cell, index, store_history=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/jupyter_core/utils/__init__.py\", line 173, in wrapped\n return loop.run_until_complete(inner)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/asyncio/base_events.py\", line 653, in run_until_complete\n return future.result()\n ^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbclient/client.py\", line 1062, in async_execute_cell\n await self._check_raise_for_error(cell, cell_index, exec_reply)\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbclient/client.py\", line 918, in _check_raise_for_error\n raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)\nnbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:\n------------------\np.layout(extent=[0, 0, .8, 1]).show()\n------------------\n\n\n\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)\nCell \u001b[0;32mIn[5], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlayout\u001b[49m\u001b[43m(\u001b[49m\u001b[43mextent\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m.8\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mshow\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\nFile \u001b[0;32m/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/seaborn/_core/plot.py:930\u001b[0m, in \u001b[0;36mPlot.show\u001b[0;34m(self, *kwargs)\u001b[0m\n\u001b[1;32m 913\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 914\u001b[0m \u001b[38;5;124;03mCompile the plot and display it by hooking into pyplot.\u001b[39;00m\n\u001b[1;32m 915\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 922\u001b[0m \n\u001b[1;32m 923\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 924\u001b[0m \u001b[38;5;66;03m# TODO make pyplot configurable at the class level, and when not using,\u001b[39;00m\n\u001b[1;32m 925\u001b[0m \u001b[38;5;66;03m# import IPython.display and call on self to populate cell output?\u001b[39;00m\n\u001b[1;32m 926\u001b[0m \n\u001b[1;32m 927\u001b[0m \u001b[38;5;66;03m# Keep an eye on whether matplotlib implements \"attaching\" an existing\u001b[39;00m\n\u001b[1;32m 928\u001b[0m \u001b[38;5;66;03m# figure to pyplot: https://github.com/matplotlib/matplotlib/pull/14024\u001b[39;00m\n\u001b[0;32m--> 930\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpyplot\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mshow(\u001b[38;5;241m\u001b[39m\u001b[38;5;241m\u001b[39mkwargs)\n\nFile \u001b[0;32m/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/seaborn/_core/plot.py:937\u001b[0m, in \u001b[0;36mPlot.plot\u001b[0;34m(self, pyplot)\u001b[0m\n\u001b[1;32m 933\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 934\u001b[0m \u001b[38;5;124;03mCompile the plot spec and return the Plotter object.\u001b[39;00m\n\u001b[1;32m 935\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 936\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m theme_context(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_theme_with_defaults()):\n\u001b[0;32m--> 937\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_plot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpyplot\u001b[49m\u001b[43m)\u001b[49m\n\nFile \u001b[0;32m/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/seaborn/_core/plot.py:971\u001b[0m, in \u001b[0;36mPlot._plot\u001b[0;34m(self, pyplot)\u001b[0m\n\u001b[1;32m 969\u001b[0m \u001b[38;5;66;03m# Add various figure decorations\u001b[39;00m\n\u001b[1;32m 970\u001b[0m plotter\u001b[38;5;241m.\u001b[39m_make_legend(\u001b[38;5;28mself\u001b[39m)\n\u001b[0;32m--> 971\u001b[0m \u001b[43mplotter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_finalize_figure\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 973\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m plotter\n\nFile \u001b[0;32m/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/seaborn/_core/plot.py:1815\u001b[0m, in \u001b[0;36mPlotter._finalize_figure\u001b[0;34m(self, p)\u001b[0m\n\u001b[1;32m 1812\u001b[0m set_layout_engine(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_figure, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtight\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 1814\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (extent \u001b[38;5;241m:=\u001b[39m p\u001b[38;5;241m.\u001b[39m_layout_spec\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mextent\u001b[39m\u001b[38;5;124m\"\u001b[39m)) \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m-> 1815\u001b[0m engine \u001b[38;5;241m=\u001b[39m \u001b[43mget_layout_engine\u001b[49m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_figure)\n\u001b[1;32m 1816\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m engine \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1817\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_figure\u001b[38;5;241m.\u001b[39msubplots_adjust(\u001b[38;5;241m\u001b[39mextent)\n\n\u001b[0;31mNameError\u001b[0m: name 'get_layout_engine' is not defined\n\nmake[1]: * [Makefile:7: ../docstrings/objects.Plot.layout.rst] Error 1\nmake[1]: * Waiting for unfinished jobs....\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\n0.00s - Debugger warning: It seems that frozen modules are being used, which may\n0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n0.00s - to python to disable frozen modules.\n0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.9.2.1).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n check_pandoc_version()\nmake[1]: Leaving directory '/home/runner/work/seaborn/seaborn/doc/_docstrings'\nmake: * [Makefile:60: docstrings] Error 2\n##[error]Process completed with exit code 2.\n" }, { "step_name": "lint/5_Flake8.txt", "log": "##[group]Run make lint\n\u001b[36;1mmake lint\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n NB_KERNEL: python\n MPLBACKEND: Agg\n SEABORN_DATA: /home/runner/work/seaborn/seaborn/seaborn-data\n##[endgroup]\nflake8 seaborn/ tests/\nseaborn/_core/plot.py:1815:22: F821 undefined name 'get_layout_engine'\nmake: * [Makefile:7: lint] Error 1\n##[error]Process completed with exit code 2.\n" }, { "step_name": "run-tests (3.11, light, latest)/5_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n NB_KERNEL: python\n MPLBACKEND: Agg\n SEABORN_DATA: /home/runner/work/seaborn/seaborn/seaborn-data\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\npytest -n auto --cov=seaborn --cov=tests --cov-config=setup.cfg tests\n============================= test session starts ==============================\nplatform linux -- Python 3.11.7, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/seaborn/seaborn\nconfigfile: pyproject.toml\nplugins: cov-4.1.0, xdist-3.5.0\ncreated: 4/4 workers\n4 workers [2379 items]\n\n........................................................................ 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[100%]\n=================================== FAILURES ===================================\n_______________________ TestPlotting.test_layout_extent ________________________\n[gw1] linux -- Python 3.11.7 /opt/hostedtoolcache/Python/3.11.7/x64/bin/python\n\nself = <tests._core.test_plot.TestPlotting object at 0x7f06656abb10>\n\n @pytest.mark.skipif(\n _version_predates(mpl, \"3.6\"),\n reason=\"mpl<3.6 does not have get_layout_engine\",\n )\n def test_layout_extent(self):\n \n> p = Plot().layout(extent=(.1, .2, .6, 1)).plot()\n\ntests/_core/test_plot.py:1100: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nseaborn/_core/plot.py:937: in plot\n return self._plot(pyplot)\nseaborn/_core/plot.py:971: in _plot\n plotter._finalize_figure(self)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <seaborn._core.plot.Plotter object at 0x7f0654edebd0>\np = <seaborn._core.plot.Plot object at 0x7f06567fe150>\n\n def _finalize_figure(self, p: Plot) -> None:\n \n for sub in self._subplots:\n ax = sub[\"ax\"]\n for axis in \"xy\":\n axis_key = sub[axis]\n axis_obj = getattr(ax, f\"{axis}axis\")\n \n # Axis limits\n if axis_key in p._limits or axis in p._limits:\n convert_units = getattr(ax, f\"{axis}axis\").convert_units\n a, b = p._limits.get(axis_key) or p._limits[axis]\n lo = a if a is None else convert_units(a)\n hi = b if b is None else convert_units(b)\n if isinstance(a, str):\n lo = cast(float, lo) - 0.5\n if isinstance(b, str):\n hi = cast(float, hi) + 0.5\n ax.set({f\"{axis}lim\": (lo, hi)})\n \n if axis_key in self._scales: # TODO when would it not be?\n self._scales[axis_key]._finalize(p, axis_obj)\n \n if (engine_name := p._layout_spec.get(\"engine\", default)) is not default:\n # None is a valid arg for Figure.set_layout_engine, hence `default`\n set_layout_engine(self._figure, engine_name)\n elif p._target is None:\n # Don't modify the layout engine if the user supplied their own\n # matplotlib figure and didn't specify an engine through Plot\n # TODO switch default to \"constrained\"?\n # TODO either way, make configurable\n set_layout_engine(self._figure, \"tight\")\n \n if (extent := p._layout_spec.get(\"extent\")) is not None:\n> engine = get_layout_engine(self._figure)\nE NameError: name 'get_layout_engine' is not defined\n\nseaborn/_core/plot.py:1815: NameError\n_________________ TestPlotting.test_constrained_layout_extent __________________\n[gw1] linux -- Python 3.11.7 /opt/hostedtoolcache/Python/3.11.7/x64/bin/python\n\nself = <tests._core.test_plot.TestPlotting object at 0x7f0665702410>\n\n @pytest.mark.skipif(\n _version_predates(mpl, \"3.6\"),\n reason=\"mpl<3.6 does not have get_layout_engine\",\n )\n def test_constrained_layout_extent(self):\n \n> p = Plot().layout(engine=\"constrained\", extent=(.1, .2, .6, 1)).plot()\n\ntests/_core/test_plot.py:1109: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nseaborn/_core/plot.py:937: in plot\n return self._plot(pyplot)\nseaborn/_core/plot.py:971: in _plot\n plotter._finalize_figure(self)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <seaborn._core.plot.Plotter object at 0x7f0656f58050>\np = <seaborn._core.plot.Plot object at 0x7f0656f597d0>\n\n def _finalize_figure(self, p: Plot) -> None:\n \n for sub in self._subplots:\n ax = sub[\"ax\"]\n for axis in \"xy\":\n axis_key = sub[axis]\n axis_obj = getattr(ax, f\"{axis}axis\")\n \n # Axis limits\n if axis_key in p._limits or axis in p._limits:\n convert_units = getattr(ax, f\"{axis}axis\").convert_units\n a, b = p._limits.get(axis_key) or p._limits[axis]\n lo = a if a is None else convert_units(a)\n hi = b if b is None else convert_units(b)\n if isinstance(a, str):\n lo = cast(float, lo) - 0.5\n if isinstance(b, str):\n hi = cast(float, hi) + 0.5\n ax.set({f\"{axis}lim\": (lo, hi)})\n \n if axis_key in self._scales: # TODO when would it not be?\n self._scales[axis_key]._finalize(p, axis_obj)\n \n if (engine_name := p._layout_spec.get(\"engine\", default)) is not default:\n # None is a valid arg for Figure.set_layout_engine, hence `default`\n set_layout_engine(self._figure, engine_name)\n elif p._target is None:\n # Don't modify the layout engine if the user supplied their own\n # matplotlib figure and didn't specify an engine through Plot\n # TODO switch default to \"constrained\"?\n # TODO either way, make configurable\n set_layout_engine(self._figure, \"tight\")\n \n if (extent := p._layout_spec.get(\"extent\")) is not None:\n> engine = get_layout_engine(self._figure)\nE NameError: name 'get_layout_engine' is not defined\n\nseaborn/_core/plot.py:1815: NameError\n_____________________ TestPlotting.test_base_layout_extent _____________________\n[gw1] linux -- Python 3.11.7 /opt/hostedtoolcache/Python/3.11.7/x64/bin/python\n\nself = <tests._core.test_plot.TestPlotting object at 0x7f0664b34450>\n\n def test_base_layout_extent(self):\n \n> p = Plot().layout(engine=None, extent=(.1, .2, .6, 1)).plot()\n\ntests/_core/test_plot.py:1114: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nseaborn/_core/plot.py:937: in plot\n return self._plot(pyplot)\nseaborn/_core/plot.py:971: in _plot\n plotter._finalize_figure(self)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <seaborn._core.plot.Plotter object at 0x7f0656d300d0>\np = <seaborn._core.plot.Plot object at 0x7f0656d301d0>\n\n def _finalize_figure(self, p: Plot) -> None:\n \n for sub in self._subplots:\n ax = sub[\"ax\"]\n for axis in \"xy\":\n axis_key = sub[axis]\n axis_obj = getattr(ax, f\"{axis}axis\")\n \n # Axis limits\n if axis_key in p._limits or axis in p._limits:\n convert_units = getattr(ax, f\"{axis}axis\").convert_units\n a, b = p._limits.get(axis_key) or p._limits[axis]\n lo = a if a is None else convert_units(a)\n hi = b if b is None else convert_units(b)\n if isinstance(a, str):\n lo = cast(float, lo) - 0.5\n if isinstance(b, str):\n hi = cast(float, hi) + 0.5\n ax.set({f\"{axis}lim\": (lo, hi)})\n \n if axis_key in self._scales: # TODO when would it not be?\n self._scales[axis_key]._finalize(p, axis_obj)\n \n if (engine_name := p._layout_spec.get(\"engine\", default)) is not default:\n # None is a valid arg for Figure.set_layout_engine, hence `default`\n set_layout_engine(self._figure, engine_name)\n elif p._target is None:\n # Don't modify the layout engine if the user supplied their own\n # matplotlib figure and didn't specify an engine through Plot\n # TODO switch default to \"constrained\"?\n # TODO either way, make configurable\n set_layout_engine(self._figure, \"tight\")\n \n if (extent := p._layout_spec.get(\"extent\")) is not None:\n> engine = get_layout_engine(self._figure)\nE NameError: name 'get_layout_engine' is not defined\n\nseaborn/_core/plot.py:1815: NameError\n\n---------- coverage: platform linux, python 3.11.7-final-0 -----------\nName Stmts Miss Cover\n------------------------------------------------------\nseaborn/__init__.py 16 0 100%\nseaborn/_base.py 766 23 97%\nseaborn/_compat.py 77 47 39%\nseaborn/_core/__init__.py 0 0 100%\nseaborn/_core/data.py 116 5 96%\nseaborn/_core/exceptions.py 10 1 90%\nseaborn/_core/groupby.py 54 0 100%\nseaborn/_core/moves.py 109 0 100%\nseaborn/_core/plot.py 828 13 98%\nseaborn/_core/properties.py 425 4 99%\nseaborn/_core/rules.py 63 1 98%\nseaborn/_core/scales.py 502 49 90%\nseaborn/_core/subplots.py 140 0 100%\nseaborn/_core/typing.py 25 1 96%\nseaborn/_docstrings.py 40 5 88%\nseaborn/_marks/__init__.py 0 0 100%\nseaborn/_marks/area.py 86 3 97%\nseaborn/_marks/bar.py 123 0 100%\nseaborn/_marks/base.py 132 2 98%\nseaborn/_marks/dot.py 92 0 100%\nseaborn/_marks/line.py 116 0 100%\nseaborn/_marks/text.py 33 0 100%\nseaborn/_statistics.py 323 10 97%\nseaborn/_stats/__init__.py 0 0 100%\nseaborn/_stats/aggregation.py 42 1 98%\nseaborn/_stats/base.py 26 1 96%\nseaborn/_stats/counting.py 96 0 100%\nseaborn/_stats/density.py 99 3 97%\nseaborn/_stats/order.py 30 3 90%\nseaborn/_stats/regression.py 23 1 96%\nseaborn/_testing.py 52 4 92%\nseaborn/algorithms.py 60 0 100%\nseaborn/axisgrid.py 1039 32 97%\nseaborn/categorical.py 1204 13 99%\nseaborn/distributions.py 951 36 96%\nseaborn/matrix.py 551 317 42%\nseaborn/miscplot.py 24 0 100%\nseaborn/objects.py 15 0 100%\nseaborn/palettes.py 249 1 99%\nseaborn/rcmod.py 104 0 100%\nseaborn/regression.py 336 46 86%\nseaborn/relational.py 285 1 99%\nseaborn/utils.py 395 23 94%\ntests/__init__.py 0 0 100%\ntests/_core/__init__.py 0 0 100%\ntests/_core/test_data.py 293 2 99%\ntests/_core/test_groupby.py 83 0 100%\ntests/_core/test_moves.py 231 0 100%\ntests/_core/test_plot.py 1550 24 98%\ntests/_core/test_properties.py 365 4 99%\ntests/_core/test_rules.py 72 0 100%\ntests/_core/test_scales.py 547 1 99%\ntests/_core/test_subplots.py 368 0 100%\ntests/_marks/__init__.py 0 0 100%\ntests/_marks/test_area.py 84 0 100%\ntests/_marks/test_bar.py 152 0 100%\ntests/_marks/test_base.py 102 0 100%\ntests/_marks/test_dot.py 136 0 100%\ntests/_marks/test_line.py 298 0 100%\ntests/_marks/test_text.py 98 1 99%\ntests/_stats/__init__.py 0 0 100%\ntests/_stats/test_aggregation.py 84 0 100%\ntests/_stats/test_counting.py 180 0 100%\ntests/_stats/test_density.py 141 8 94%\ntests/_stats/test_order.py 64 1 98%\ntests/_stats/test_regression.py 36 0 100%\ntests/conftest.py 107 0 100%\ntests/test_algorithms.py 110 0 100%\ntests/test_axisgrid.py 1314 6 99%\ntests/test_base.py 1008 3 99%\ntests/test_categorical.py 2161 17 99%\ntests/test_distributions.py 1523 14 99%\ntests/test_docstrings.py 19 0 100%\ntests/test_matrix.py 864 454 47%\ntests/test_miscplot.py 24 0 100%\ntests/test_objects.py 11 0 100%\ntests/test_palettes.py 304 0 100%\ntests/test_rcmod.py 189 21 89%\ntests/test_regression.py 441 46 90%\ntests/test_relational.py 1213 8 99%\ntests/test_statistics.py 489 19 96%\ntests/test_utils.py 382 4 99%\n------------------------------------------------------\nTOTAL 24700 1279 95%\n\n=========================== short test summary info ============================\nFAILED tests/_core/test_plot.py::TestPlotting::test_layout_extent - NameError: name 'get_layout_engine' is not defined\nFAILED tests/_core/test_plot.py::TestPlotting::test_constrained_layout_extent - NameError: name 'get_layout_engine' is not defined\nFAILED tests/_core/test_plot.py::TestPlotting::test_base_layout_extent - NameError: name 'get_layout_engine' is not defined\n====== 3 failed, 2299 passed, 71 skipped, 6 xfailed in 244.97s (0:04:04) =======\nmake: * [Makefile:4: test] Error 1\n##[error]Process completed with exit code 2.\n" } ]	diff --git a/seaborn/_core/plot.py b/seaborn/_core/plot.py index af4669c6..39ccd2e0 100644 --- a/seaborn/_core/plot.py +++ b/seaborn/_core/plot.py @@ -40,7 +40,7 @@ from seaborn._core.typing import ( ) from seaborn._core.exceptions import PlotSpecError from seaborn._core.rules import categorical_order -from seaborn._compat import set_layout_engine +from seaborn._compat import get_layout_engine, set_layout_engine from seaborn.rcmod import axes_style, plotting_context from seaborn.palettes import color_palette	2	[ "seaborn/_core/plot.py" ]	https://github.com/mwaskom/seaborn/tree/2201be21886bb82201f3c3487f5f1468f6e6ac81	2023-12-09T23:04:08Z
Python	160	mwaskom	seaborn	enh/weighted_functions	CI	ci.yaml	.github/workflows/ci.yaml	mwaskom	785242b646b54a33547ff1298cb945a05c24aa4c	872c7fce09397bbfc8bf5f0f7d1a0c501086e3c1	name: CI on: push: branches: [master, v0.] pull_request: branches: master schedule: - cron: '0 6 * 1,4' # Each Monday and Thursday at 06:00 UTC workflow_dispatch: permissions: contents: read env: MPLBACKEND: Agg NB_KERNEL: python PIP_INDEX_URL: http://localhost:8629/2023-12-06 SEABORN_DATA: ${{ github.workspace }}/seaborn-data UV_INDEX_URL: http://localhost:8629/2023-12-06 jobs: build-docs: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1 - name: Setup Python 3.11 uses: actions/setup-python@65d7f2d534ac1bc67fcd62888c5f4f3d2cb2b236 # v4.7.1 with: python-version: "3.11" - name: Install seaborn run: \| pip install --upgrade pip pip install .[stats,docs] - name: Install pandoc run: \| sudo apt-get install pandoc - name: Cache datasets run: \| git clone https://github.com/mwaskom/seaborn-data.git ls $SEABORN_DATA - name: Build docs env: SPHINXOPTS: -j `nproc` run: \| cd doc make -j `nproc` notebooks make html run-tests: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: matrix: python: ["3.8", "3.9", "3.10", "3.11", "3.12"] install: [full] deps: [latest] include: - python: "3.8" install: full deps: pinned - python: "3.11" install: light deps: latest steps: - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1 - name: Setup Python ${{ matrix.python }} uses: actions/setup-python@65d7f2d534ac1bc67fcd62888c5f4f3d2cb2b236 # v4.7.1 with: python-version: ${{ matrix.python }} allow-prereleases: true - name: Install seaborn run: \| pip install --upgrade pip wheel if [[ ${{matrix.install}} == 'full' ]]; then EXTRAS=',stats'; fi if [[ ${{matrix.deps }} == 'pinned' ]]; then DEPS='-r ci/deps_pinned.txt'; fi pip install .[dev$EXTRAS] $DEPS - name: Run tests run: make test - name: Upload coverage uses: codecov/codecov-action@eaaf4bedf32dbdc6b720b63067d99c4d77d6047d # v3.1.4 if: ${{ success() }} lint: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: fail-fast: false steps: - name: Checkout uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1 - name: Setup Python uses: actions/setup-python@65d7f2d534ac1bc67fcd62888c5f4f3d2cb2b236 # v4.7.1 - name: Install tools run: pip install mypy flake8 - name: Flake8 run: make lint - name: Type checking run: make typecheck	[ { "step_name": "run-tests (3.8, full, pinned)/5_Run tests.txt", "log": "##[group]Run make test\n\u001b[36;1mmake test\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n NB_KERNEL: python\n MPLBACKEND: Agg\n SEABORN_DATA: /home/runner/work/seaborn/seaborn/seaborn-data\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\npytest -n auto --cov=seaborn --cov=tests --cov-config=setup.cfg tests\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/seaborn/seaborn\nconfigfile: pyproject.toml\nplugins: cov-4.1.0, xdist-3.5.0\ncreated: 4/4 workers\n4 workers [2375 items]\n\n........................................................................ 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[100%]\n=================================== FAILURES ===================================\n_________________________ TestLinePlotter.test_weights _________________________\n[gw1] linux -- Python 3.8.18 /opt/hostedtoolcache/Python/3.8.18/x64/bin/python\n\nself = <tests.test_relational.TestLinePlotter object at 0x7f21d311ba00>\nlong_df = x y z a b ... s f a_cat s_cat s_str\n0 12 0.449243 6.611886 b p ... 2 0.2 b ... 8 0.3 a 8 8\n99 15 0.073484 1.036343 c p ... 8 0.2 c 8 8\n\n[100 rows x 13 columns]\n\n def test_weights(self, long_df):\n \n ax = lineplot(long_df, x=\"a\", y=\"y\", weights=\"x\")\n vals = ax.lines[0].get_ydata()\n for i, label in enumerate(ax.get_xticklabels()):\n pos_df = long_df.loc[long_df[\"a\"] == label.get_text()]\n> expected = np.average(pos_df[\"y\"], weights=pos_df[\"x\"])\n\ntests/test_relational.py:1077: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n<__array_function__ internals>:5: in average\n ???\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\na = array([], dtype=float64), axis = None\nweights = Series([], Name: x, dtype: int64), returned = False\n\n @array_function_dispatch(_average_dispatcher)\n def average(a, axis=None, weights=None, returned=False):\n \"\"\"\n Compute the weighted average along the specified axis.\n \n Parameters\n ----------\n a : array_like\n Array containing data to be averaged. If `a` is not an array, a\n conversion is attempted.\n axis : None or int or tuple of ints, optional\n Axis or axes along which to average `a`. The default,\n axis=None, will average over all of the elements of the input array.\n If axis is negative it counts from the last to the first axis.\n \n .. versionadded:: 1.7.0\n \n If axis is a tuple of ints, averaging is performed on all of the axes\n specified in the tuple instead of a single axis or all the axes as\n before.\n weights : array_like, optional\n An array of weights associated with the values in `a`. Each value in\n `a` contributes to the average according to its associated weight.\n The weights array can either be 1-D (in which case its length must be\n the size of `a` along the given axis) or of the same shape as `a`.\n If `weights=None`, then all data in `a` are assumed to have a\n weight equal to one. The 1-D calculation is::\n \n avg = sum(a * weights) / sum(weights)\n \n The only constraint on `weights` is that `sum(weights)` must not be 0.\n returned : bool, optional\n Default is `False`. If `True`, the tuple (`average`, `sum_of_weights`)\n is returned, otherwise only the average is returned.\n If `weights=None`, `sum_of_weights` is equivalent to the number of\n elements over which the average is taken.\n \n Returns\n -------\n retval, [sum_of_weights] : array_type or double\n Return the average along the specified axis. When `returned` is `True`,\n return a tuple with the average as the first element and the sum\n of the weights as the second element. `sum_of_weights` is of the\n same type as `retval`. The result dtype follows a genereal pattern.\n If `weights` is None, the result dtype will be that of `a` , or ``float64``\n if `a` is integral. Otherwise, if `weights` is not None and `a` is non-\n integral, the result type will be the type of lowest precision capable of\n representing values of both `a` and `weights`. If `a` happens to be\n integral, the previous rules still applies but the result dtype will\n at least be ``float64``.\n \n Raises\n ------\n ZeroDivisionError\n When all weights along axis are zero. See `numpy.ma.average` for a\n version robust to this type of error.\n TypeError\n When the length of 1D `weights` is not the same as the shape of `a`\n along axis.\n \n See Also\n --------\n mean\n \n ma.average : average for masked arrays -- useful if your data contains\n \"missing\" values\n numpy.result_type : Returns the type that results from applying the\n numpy type promotion rules to the arguments.\n \n Examples\n --------\n >>> data = np.arange(1, 5)\n >>> data\n array([1, 2, 3, 4])\n >>> np.average(data)\n 2.5\n >>> np.average(np.arange(1, 11), weights=np.arange(10, 0, -1))\n 4.0\n \n >>> data = np.arange(6).reshape((3,2))\n >>> data\n array([[0, 1],\n [2, 3],\n [4, 5]])\n >>> np.average(data, axis=1, weights=[1./4, 3./4])\n array([0.75, 2.75, 4.75])\n >>> np.average(data, weights=[1./4, 3./4])\n Traceback (most recent call last):\n ...\n TypeError: Axis must be specified when shapes of a and weights differ.\n \n >>> a = np.ones(5, dtype=np.float128)\n >>> w = np.ones(5, dtype=np.complex64)\n >>> avg = np.average(a, weights=w)\n >>> print(avg.dtype)\n complex256\n \"\"\"\n a = np.asanyarray(a)\n \n if weights is None:\n avg = a.mean(axis)\n scl = avg.dtype.type(a.size/avg.size)\n else:\n wgt = np.asanyarray(weights)\n \n if issubclass(a.dtype.type, (np.integer, np.bool_)):\n result_dtype = np.result_type(a.dtype, wgt.dtype, 'f8')\n else:\n result_dtype = np.result_type(a.dtype, wgt.dtype)\n \n # Sanity checks\n if a.shape != wgt.shape:\n if axis is None:\n raise TypeError(\n \"Axis must be specified when shapes of a and weights \"\n \"differ.\")\n if wgt.ndim != 1:\n raise TypeError(\n \"1D weights expected when shapes of a and weights differ.\")\n if wgt.shape[0] != a.shape[axis]:\n raise ValueError(\n \"Length of weights not compatible with specified axis.\")\n \n # setup wgt to broadcast along axis\n wgt = np.broadcast_to(wgt, (a.ndim-1)(1,) + wgt.shape)\n wgt = wgt.swapaxes(-1, axis)\n \n scl = wgt.sum(axis=axis, dtype=result_dtype)\n if np.any(scl == 0.0):\n> raise ZeroDivisionError(\n \"Weights sum to zero, can't be normalized\")\nE ZeroDivisionError: Weights sum to zero, can't be normalized\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/numpy/lib/function_base.py:409: ZeroDivisionError\n=============================== warnings summary ===============================\n../../../../../opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: 4 warnings\ntests/test_rcmod.py: 23 warnings\ntests/_core/test_plot.py: 390 warnings\ntests/_marks/test_area.py: 12 warnings\ntests/_marks/test_bar.py: 34 warnings\ntests/_marks/test_dot.py: 28 warnings\ntests/_marks/test_line.py: 66 warnings\ntests/_marks/test_text.py: 16 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The savefig.jpeg_quality rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The animation.avconv_args rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The animation.avconv_path rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The animation.html_args rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The keymap.all_axes rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/test_rcmod.py: 23 warnings\n /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/_collections_abc.py:832: MatplotlibDeprecationWarning: \n The text.latex.preview rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n self[key] = other[key]\n\ntests/_core/test_plot.py::TestFacetInterface::test_layout_algo[constrained]\n /home/runner/work/seaborn/seaborn/seaborn/_core/plot.py:999: UserWarning: There are no gridspecs with layoutgrids. Possibly did not call parent GridSpec with the \"figure\" keyword\n self._figure.savefig(loc, kwargs)\n\ntests/_core/test_scales.py::TestNominal::test_empty_data\n /home/runner/work/seaborn/seaborn/seaborn/_core/rules.py:170: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.\n if variable_type(pd.Series(order)) == \"numeric\":\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n\n---------- coverage: platform linux, python 3.8.18-final-0 -----------\nName Stmts Miss Cover\n------------------------------------------------------\nseaborn/__init__.py 16 0 100%\nseaborn/_base.py 766 22 97%\nseaborn/_compat.py 70 35 50%\nseaborn/_core/__init__.py 0 0 100%\nseaborn/_core/data.py 116 9 92%\nseaborn/_core/exceptions.py 10 1 90%\nseaborn/_core/groupby.py 54 0 100%\nseaborn/_core/moves.py 109 0 100%\nseaborn/_core/plot.py 816 5 99%\nseaborn/_core/properties.py 425 4 99%\nseaborn/_core/rules.py 63 3 95%\nseaborn/_core/scales.py 502 47 91%\nseaborn/_core/subplots.py 140 0 100%\nseaborn/_core/typing.py 25 1 96%\nseaborn/_docstrings.py 40 5 88%\nseaborn/_marks/__init__.py 0 0 100%\nseaborn/_marks/area.py 86 3 97%\nseaborn/_marks/bar.py 123 0 100%\nseaborn/_marks/base.py 132 2 98%\nseaborn/_marks/dot.py 92 0 100%\nseaborn/_marks/line.py 116 0 100%\nseaborn/_marks/text.py 33 0 100%\nseaborn/_statistics.py 323 5 98%\nseaborn/_stats/__init__.py 0 0 100%\nseaborn/_stats/aggregation.py 41 1 98%\nseaborn/_stats/base.py 26 1 96%\nseaborn/_stats/counting.py 96 0 100%\nseaborn/_stats/density.py 99 4 96%\nseaborn/_stats/order.py 30 3 90%\nseaborn/_stats/regression.py 23 1 96%\nseaborn/_testing.py 52 4 92%\nseaborn/algorithms.py 60 0 100%\nseaborn/axisgrid.py 1039 34 97%\nseaborn/categorical.py 1204 13 99%\nseaborn/distributions.py 951 36 96%\nseaborn/matrix.py 551 26 95%\nseaborn/miscplot.py 24 0 100%\nseaborn/objects.py 15 0 100%\nseaborn/palettes.py 249 1 99%\nseaborn/rcmod.py 104 0 100%\nseaborn/regression.py 336 10 97%\nseaborn/relational.py 285 1 99%\nseaborn/utils.py 395 23 94%\ntests/__init__.py 0 0 100%\ntests/_core/__init__.py 0 0 100%\ntests/_core/test_data.py 293 10 97%\ntests/_core/test_groupby.py 83 0 100%\ntests/_core/test_moves.py 231 0 100%\ntests/_core/test_plot.py 1536 33 98%\ntests/_core/test_properties.py 365 4 99%\ntests/_core/test_rules.py 72 0 100%\ntests/_core/test_scales.py 547 0 100%\ntests/_core/test_subplots.py 368 0 100%\ntests/_marks/__init__.py 0 0 100%\ntests/_marks/test_area.py 84 0 100%\ntests/_marks/test_bar.py 152 0 100%\ntests/_marks/test_base.py 102 0 100%\ntests/_marks/test_dot.py 136 0 100%\ntests/_marks/test_line.py 298 0 100%\ntests/_marks/test_text.py 98 1 99%\ntests/_stats/__init__.py 0 0 100%\ntests/_stats/test_aggregation.py 84 0 100%\ntests/_stats/test_counting.py 180 0 100%\ntests/_stats/test_density.py 141 3 98%\ntests/_stats/test_order.py 64 1 98%\ntests/_stats/test_regression.py 36 0 100%\ntests/conftest.py 107 1 99%\ntests/test_algorithms.py 110 0 100%\ntests/test_axisgrid.py 1314 25 98%\ntests/test_base.py 1008 3 99%\ntests/test_categorical.py 2161 43 98%\ntests/test_distributions.py 1523 12 99%\ntests/test_docstrings.py 19 0 100%\ntests/test_matrix.py 864 28 97%\ntests/test_miscplot.py 24 0 100%\ntests/test_objects.py 11 0 100%\ntests/test_palettes.py 304 0 100%\ntests/test_rcmod.py 189 21 89%\ntests/test_regression.py 441 6 99%\ntests/test_relational.py 1213 14 99%\ntests/test_statistics.py 489 2 99%\ntests/test_utils.py 382 4 99%\n------------------------------------------------------\nTOTAL 24666 511 98%\n\n=========================== short test summary info ============================\nFAILED tests/test_relational.py::TestLinePlotter::test_weights - ZeroDivisionError: Weights sum to zero, can't be normalized\n= 1 failed, 2347 passed, 21 skipped, 6 xfailed, 690 warnings in 257.15s (0:04:17) =\nmake: ** [Makefile:4: test] Error 1\n##[error]Process completed with exit code 2.\n" } ]	diff --git a/tests/test_relational.py b/tests/test_relational.py index 06d0860a..f4f97068 100644 --- a/tests/test_relational.py +++ b/tests/test_relational.py @@ -582,8 +582,8 @@ class TestRelationalPlotter(Helpers): g = relplot(data=long_df, x="a", y="y", weights="x", kind="line") ydata = g.ax.lines[0].get_ydata() - for i, label in enumerate(g.ax.get_xticklabels()): - pos_df = long_df[long_df["a"] == label.get_text()] + for i, level in enumerate(categorical_order(long_df["a"])): + pos_df = long_df[long_df["a"] == level] expected = np.average(pos_df["y"], weights=pos_df["x"]) assert ydata[i] == pytest.approx(expected) @@ -1072,8 +1072,8 @@ class TestLinePlotter(SharedAxesLevelTests, Helpers): ax = lineplot(long_df, x="a", y="y", weights="x") vals = ax.lines[0].get_ydata() - for i, label in enumerate(ax.get_xticklabels()): - pos_df = long_df.loc[long_df["a"] == label.get_text()] + for i, level in enumerate(categorical_order(long_df["a"])): + pos_df = long_df[long_df["a"] == level] expected = np.average(pos_df["y"], weights=pos_df["x"]) assert vals[i] == pytest.approx(expected)	3	[ "tests/test_relational.py" ]	https://github.com/mwaskom/seaborn/tree/785242b646b54a33547ff1298cb945a05c24aa4c	2023-12-06T12:59:16Z
Python	161	octodns	octodns	filter-net	OctoDNS	main.yml	.github/workflows/main.yml	Solvik	3ed7a88e343c89b7153efea25db1b6287b2f0823	abdab8f6d83894e9f37eb3213efa828dfc741cd0	name: OctoDNS on: [pull_request] jobs: config: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 outputs: json: ${{ steps.load.outputs.json }} steps: - uses: actions/checkout@v4 - id: load # based on https://docs.github.com/en/actions/using-workflows/workflow-commands-for-github-actions#multiline-strings run: \| { echo 'json<<EOF' cat ./.ci-config.json echo EOF } >> $GITHUB_OUTPUT ci: needs: config runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: fail-fast: false matrix: # Defined in a file that resides in the top level of octodns/octodns, # based on dates in https://devguide.python.org/versions/#versions python-version: ${{ fromJson(needs.config.outputs.json).python_versions_active }} steps: - uses: actions/checkout@v4 - name: Setup python uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} architecture: x64 - name: Install dependencies run: \| python -m pip install --upgrade pip pip install -r requirements.txt pip install virtualenv - name: CI Build run: \| ./script/cibuild - name: Store Code Coverage Data # if the previous step(s) failed try anyways if: always() uses: actions/upload-artifact@v3 with: name: code-coverage-${{ matrix.python-version }} path: \| .coverage coverage.xml htmlcov setup-py: needs: config runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v4 - name: Setup python uses: actions/setup-python@v4 with: # Most recent release from https://devguide.python.org/versions/#versions python-version: ${{ fromJson(needs.config.outputs.json).python_version_current }} architecture: x64 - name: CI setup.py run: \| ./script/cibuild-setup-py env: PIP_INDEX_URL: http://localhost:8629/2023-11-10 UV_INDEX_URL: http://localhost:8629/2023-11-10	[ { "step_name": "ci (3.8)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.8/site-packages (23.0.1)\nCollecting pip>=10.0.1\n Downloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.1/2.1 MB 11.8 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.0.1\n Uninstalling pip-23.0.1:\n Successfully uninstalled pip-23.0.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (736 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.16.1 (from -r requirements-dev.txt (line 2))\n Downloading Pygments-2.16.1-py3-none-any.whl.metadata (2.5 kB)\nCollecting black==23.9.1 (from -r requirements-dev.txt (line 3))\n Downloading black-23.9.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (65 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 65.1/65.1 kB 2.7 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.7.22 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.7.22-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.0 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (32 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 435.2/435.2 kB 9.4 MB/s eta 0:00:00\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 12))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 13))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 14))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 91.2/91.2 kB 8.6 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 15))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.2.0 (from -r requirements-dev.txt (line 16))\n Downloading keyring-24.2.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 17))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 18))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 19))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 20))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 21))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 22))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 23))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 24))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==3.11.0 (from -r requirements-dev.txt (line 25))\n Using cached platformdirs-3.11.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 26))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 27))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 28))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 29))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.1/10.1 MB 30.0 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 30))\n Downloading pycparser-2.21-py2.py3-none-any.whl (118 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 118.7/118.7 kB 34.5 MB/s eta 0:00:00\nCollecting pyflakes==3.1.0 (from -r requirements-dev.txt (line 31))\n Downloading pyflakes-3.1.0-py2.py3-none-any.whl.metadata (3.5 kB)\nCollecting pyproject_hooks==1.0.0 (from -r requirements-dev.txt (line 32))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting pytest-cov==4.1.0 (from -r requirements-dev.txt (line 33))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-mock==3.11.1 (from -r requirements-dev.txt (line 34))\n Downloading pytest_mock-3.11.1-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-network==0.0.1 (from -r requirements-dev.txt (line 35))\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pytest==7.4.2 (from -r requirements-dev.txt (line 36))\n Downloading pytest-7.4.2-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 37))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 38))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 39))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 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zipp==3.17.0 (from -r requirements-dev.txt (line 47))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting tomli>=1.1.0 (from black==23.9.1->-r requirements-dev.txt (line 3))\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting typing-extensions>=4.0.1 (from black==23.9.1->-r requirements-dev.txt (line 3))\n Downloading typing_extensions-4.8.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting importlib-resources (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading importlib_resources-6.1.1-py3-none-any.whl.metadata (4.1 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.4/48.4 kB 11.8 MB/s eta 0:00:00\nCollecting exceptiongroup>=1.0.0rc8 (from pytest==7.4.2->-r requirements-dev.txt (line 36))\n Downloading exceptiongroup-1.1.3-py3-none-any.whl.metadata (6.1 kB)\nRequirement already satisfied: idna<4,>=2.5 in ./env/lib/python3.8/site-packages (from requests==2.31.0->-r requirements-dev.txt (line 40)) (3.4)\nCollecting cryptography>=2.0 (from SecretStorage>=3.2->keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl.metadata (5.2 kB)\nDownloading Pygments-2.16.1-py3-none-any.whl (1.2 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 60.2 MB/s eta 0:00:00\nDownloading black-23.9.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.6/1.6 MB 64.8 MB/s eta 0:00:00\nDownloading build-1.0.3-py3-none-any.whl (18 kB)\nDownloading certifi-2023.7.22-py3-none-any.whl (158 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.3/158.3 kB 43.2 MB/s eta 0:00:00\nDownloading cffi-1.16.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (444 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 444.7/444.7 kB 71.3 MB/s eta 0:00:00\nDownloading charset_normalizer-3.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (137 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 137.9/137.9 kB 25.2 MB/s eta 0:00:00\nDownloading click-8.1.7-py3-none-any.whl (97 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 97.9/97.9 kB 24.1 MB/s eta 0:00:00\nDownloading coverage-7.3.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (228 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 228.6/228.6 kB 49.3 MB/s eta 0:00:00\nDownloading docutils-0.20.1-py3-none-any.whl (572 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 572.7/572.7 kB 74.0 MB/s eta 0:00:00\nDownloading importlib_metadata-6.8.0-py3-none-any.whl (22 kB)\nDownloading jaraco.classes-3.3.0-py3-none-any.whl (5.9 kB)\nDownloading keyring-24.2.0-py3-none-any.whl (37 kB)\nDownloading markdown_it_py-3.0.0-py3-none-any.whl (87 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 87.5/87.5 kB 21.5 MB/s eta 0:00:00\nDownloading more_itertools-10.1.0-py3-none-any.whl (55 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 55.8/55.8 kB 14.5 MB/s eta 0:00:00\nDownloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 66.9 MB/s eta 0:00:00\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 53.0/53.0 kB 13.0 MB/s eta 0:00:00\nDownloading pathspec-0.11.2-py3-none-any.whl (29 kB)\nUsing cached platformdirs-3.11.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyflakes-3.1.0-py2.py3-none-any.whl (62 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 kB 18.0 MB/s eta 0:00:00\nDownloading pytest_cov-4.1.0-py3-none-any.whl (21 kB)\nDownloading pytest_mock-3.11.1-py3-none-any.whl (9.6 kB)\nDownloading pytest-7.4.2-py3-none-any.whl (324 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 324.5/324.5 kB 60.3 MB/s eta 0:00:00\nDownloading readme_renderer-42.0-py3-none-any.whl (13 kB)\nDownloading requests-2.31.0-py3-none-any.whl (62 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 kB 16.1 MB/s eta 0:00:00\nDownloading rich-13.6.0-py3-none-any.whl (239 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 239.8/239.8 kB 46.2 MB/s eta 0:00:00\nUsing cached setuptools-68.2.2-py3-none-any.whl (807 kB)\nDownloading urllib3-2.0.6-py3-none-any.whl (123 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 123.8/123.8 kB 25.2 MB/s eta 0:00:00\nDownloading wheel-0.41.2-py3-none-any.whl (64 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 64.8/64.8 kB 18.6 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nDownloading exceptiongroup-1.1.3-py3-none-any.whl (14 kB)\nDownloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\nDownloading importlib_resources-6.1.1-py3-none-any.whl (33 kB)\nDownloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.4/4.4 MB 84.3 MB/s eta 0:00:00\nBuilding wheels for collected packages: pycountry, pytest-network\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=50e08295a7b3edcc3949af1e9a6fcde707adb5e09e575717c1095da017207362\n Stored in directory: /home/runner/.cache/pip/wheels/e2/aa/0f/c224e473b464387170b83ca7c66947b4a7e33e8d903a679748\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2959 sha256=0fa1b1878ac03ea40a2b3954fa1058e9ae30ea9240de5a4b67362b84293139f9\n Stored in directory: /home/runner/.cache/pip/wheels/d0/cd/95/bbd94d9b57657ea602b3a99e8f975fc12d458c3d534a65a542\nSuccessfully built pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, typing-extensions, tomli, setuptools, rfc3986, Pygments, pyflakes, pycparser, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, exceptiongroup, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, pyproject_hooks, pycountry, markdown-it-py, jaraco.classes, importlib-resources, importlib-metadata, cffi, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, build, SecretStorage, pycountry-convert, keyring, twine\n Attempting uninstall: setuptools\n Found existing installation: setuptools 56.0.0\n Uninstalling setuptools-56.0.0:\n Successfully uninstalled setuptools-56.0.0\nSuccessfully installed Pygments-2.16.1 SecretStorage-3.3.3 black-23.9.1 build-1.0.3 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.0 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.5 docutils-0.20.1 exceptiongroup-1.1.3 importlib-metadata-6.8.0 importlib-resources-6.1.1 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.2.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-3.11.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.2 pytest-cov-4.1.0 pytest-mock-3.11.1 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.6.0 setuptools-68.2.2 tomli-2.0.1 twine-4.0.2 typing-extensions-4.8.0 urllib3-2.0.6 wheel-0.41.2 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.8.18\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.8/site-packages/pip (python 3.8)\n## modules: \nblack==23.9.1\nbuild==1.0.3\ncertifi==2023.7.22\ncffi==1.16.0\ncharset-normalizer==3.3.0\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.5\ndnspython==2.4.2\ndocutils==0.20.1\nexceptiongroup==1.1.3\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\nimportlib-resources==6.1.1\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.2.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==3.11.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.16.1\npyproject_hooks==1.0.0\npytest==7.4.2\npytest-cov==4.1.0\npytest-mock==3.11.1\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.6.0\nSecretStorage==3.3.3\nsix==1.16.0\ntomli==2.0.1\ntwine==4.0.2\ntyping_extensions==4.8.0\nurllib3==2.0.6\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\ntests/test_octodns_processor_filter.py:199:13: local variable 'filter_private' is assigned to but never used\n##[error]Process completed with exit code 1.\n" }, { "step_name": "ci (3.9)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.9/site-packages (23.0.1)\nCollecting pip>=10.0.1\n Downloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.1/2.1 MB 19.7 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.0.1\n Uninstalling pip-23.0.1:\n Successfully uninstalled pip-23.0.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (738 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.16.1 (from -r requirements-dev.txt (line 2))\n Downloading Pygments-2.16.1-py3-none-any.whl.metadata (2.5 kB)\nCollecting black==23.9.1 (from -r requirements-dev.txt (line 3))\n Downloading black-23.9.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (65 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 65.1/65.1 kB 4.3 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.7.22 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.7.22-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.0 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (32 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 435.0/435.0 kB 10.8 MB/s eta 0:00:00\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 12))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 13))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 14))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 91.2/91.2 kB 11.5 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 15))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.2.0 (from -r requirements-dev.txt (line 16))\n Downloading keyring-24.2.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 17))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 18))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 19))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 20))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 21))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 22))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 23))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 24))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==3.11.0 (from -r requirements-dev.txt (line 25))\n Using cached platformdirs-3.11.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 26))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 27))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 28))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 29))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.1/10.1 MB 38.1 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 30))\n Downloading pycparser-2.21-py2.py3-none-any.whl (118 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 118.7/118.7 kB 35.2 MB/s eta 0:00:00\nCollecting pyflakes==3.1.0 (from -r requirements-dev.txt (line 31))\n Downloading pyflakes-3.1.0-py2.py3-none-any.whl.metadata (3.5 kB)\nCollecting pyproject_hooks==1.0.0 (from -r requirements-dev.txt (line 32))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting pytest-cov==4.1.0 (from -r requirements-dev.txt (line 33))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-mock==3.11.1 (from -r requirements-dev.txt (line 34))\n Downloading pytest_mock-3.11.1-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-network==0.0.1 (from -r requirements-dev.txt (line 35))\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pytest==7.4.2 (from -r requirements-dev.txt (line 36))\n Downloading pytest-7.4.2-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 37))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 38))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 39))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 54.5/54.5 kB 17.5 MB/s eta 0:00:00\nCollecting requests==2.31.0 (from -r requirements-dev.txt (line 40))\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting rfc3986==2.0.0 (from -r requirements-dev.txt (line 41))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich==13.6.0 (from -r requirements-dev.txt (line 42))\n Downloading rich-13.6.0-py3-none-any.whl.metadata (18 kB)\nCollecting setuptools==68.2.2 (from -r requirements-dev.txt (line 43))\n Using cached setuptools-68.2.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting twine==4.0.2 (from -r requirements-dev.txt (line 44))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting urllib3==2.0.6 (from -r requirements-dev.txt (line 45))\n Downloading urllib3-2.0.6-py3-none-any.whl.metadata (6.6 kB)\nCollecting wheel==0.41.2 (from -r requirements-dev.txt (line 46))\n Downloading wheel-0.41.2-py3-none-any.whl.metadata (2.2 kB)\nCollecting zipp==3.17.0 (from -r requirements-dev.txt (line 47))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting tomli>=1.1.0 (from black==23.9.1->-r requirements-dev.txt (line 3))\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting typing-extensions>=4.0.1 (from black==23.9.1->-r requirements-dev.txt (line 3))\n Downloading typing_extensions-4.8.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.4/48.4 kB 16.1 MB/s eta 0:00:00\nCollecting exceptiongroup>=1.0.0rc8 (from pytest==7.4.2->-r requirements-dev.txt (line 36))\n Downloading exceptiongroup-1.1.3-py3-none-any.whl.metadata (6.1 kB)\nRequirement already satisfied: idna<4,>=2.5 in ./env/lib/python3.9/site-packages (from requests==2.31.0->-r requirements-dev.txt (line 40)) (3.4)\nCollecting cryptography>=2.0 (from SecretStorage>=3.2->keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl.metadata (5.2 kB)\nDownloading Pygments-2.16.1-py3-none-any.whl (1.2 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 79.7 MB/s eta 0:00:00\nDownloading black-23.9.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.6/1.6 MB 81.5 MB/s eta 0:00:00\nDownloading build-1.0.3-py3-none-any.whl (18 kB)\nDownloading certifi-2023.7.22-py3-none-any.whl (158 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.3/158.3 kB 39.6 MB/s eta 0:00:00\nDownloading cffi-1.16.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (443 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 443.4/443.4 kB 74.5 MB/s eta 0:00:00\nDownloading charset_normalizer-3.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (138 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.0/139.0 kB 27.9 MB/s eta 0:00:00\nDownloading click-8.1.7-py3-none-any.whl (97 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 97.9/97.9 kB 27.1 MB/s eta 0:00:00\nDownloading coverage-7.3.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (227 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 227.1/227.1 kB 44.3 MB/s eta 0:00:00\nDownloading docutils-0.20.1-py3-none-any.whl (572 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 572.7/572.7 kB 76.0 MB/s eta 0:00:00\nDownloading importlib_metadata-6.8.0-py3-none-any.whl (22 kB)\nDownloading jaraco.classes-3.3.0-py3-none-any.whl (5.9 kB)\nDownloading keyring-24.2.0-py3-none-any.whl (37 kB)\nDownloading markdown_it_py-3.0.0-py3-none-any.whl (87 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 87.5/87.5 kB 25.0 MB/s eta 0:00:00\nDownloading more_itertools-10.1.0-py3-none-any.whl (55 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 55.8/55.8 kB 13.0 MB/s eta 0:00:00\nDownloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 85.6 MB/s eta 0:00:00\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 53.0/53.0 kB 14.6 MB/s eta 0:00:00\nDownloading pathspec-0.11.2-py3-none-any.whl (29 kB)\nUsing cached platformdirs-3.11.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyflakes-3.1.0-py2.py3-none-any.whl (62 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 kB 18.7 MB/s eta 0:00:00\nDownloading pytest_cov-4.1.0-py3-none-any.whl (21 kB)\nDownloading pytest_mock-3.11.1-py3-none-any.whl (9.6 kB)\nDownloading pytest-7.4.2-py3-none-any.whl (324 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 324.5/324.5 kB 63.6 MB/s eta 0:00:00\nDownloading readme_renderer-42.0-py3-none-any.whl (13 kB)\nDownloading requests-2.31.0-py3-none-any.whl (62 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 kB 18.6 MB/s eta 0:00:00\nDownloading rich-13.6.0-py3-none-any.whl (239 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 239.8/239.8 kB 36.1 MB/s eta 0:00:00\nUsing cached setuptools-68.2.2-py3-none-any.whl (807 kB)\nDownloading urllib3-2.0.6-py3-none-any.whl (123 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 123.8/123.8 kB 30.3 MB/s eta 0:00:00\nDownloading wheel-0.41.2-py3-none-any.whl (64 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 64.8/64.8 kB 18.7 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nDownloading exceptiongroup-1.1.3-py3-none-any.whl (14 kB)\nDownloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\nDownloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.4/4.4 MB 105.2 MB/s eta 0:00:00\nBuilding wheels for collected packages: pycountry, pytest-network\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=67969fc94bc21f66c451a4f9aca63f622127f5d9251f50eab636ccc0b9de647d\n Stored in directory: /home/runner/.cache/pip/wheels/47/15/92/e6dc85fcb0686c82e1edbcfdf80cfe4808c058813fed0baa8f\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2959 sha256=53b635012eaef307a62a331d62218923059a89f3603d065bcc9305e972e30505\n Stored in directory: /home/runner/.cache/pip/wheels/8c/ef/32/14205df1989a5ce6ef61eff98537d4236a3c6f50c2b1a6d89a\nSuccessfully built pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, typing-extensions, tomli, setuptools, rfc3986, Pygments, pyflakes, pycparser, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, exceptiongroup, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, pyproject_hooks, pycountry, markdown-it-py, jaraco.classes, importlib-metadata, cffi, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, build, SecretStorage, pycountry-convert, keyring, twine\n Attempting uninstall: setuptools\n Found existing installation: setuptools 58.1.0\n Uninstalling setuptools-58.1.0:\n Successfully uninstalled setuptools-58.1.0\nSuccessfully installed Pygments-2.16.1 SecretStorage-3.3.3 black-23.9.1 build-1.0.3 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.0 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.5 docutils-0.20.1 exceptiongroup-1.1.3 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.2.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-3.11.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.2 pytest-cov-4.1.0 pytest-mock-3.11.1 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.6.0 setuptools-68.2.2 tomli-2.0.1 twine-4.0.2 typing-extensions-4.8.0 urllib3-2.0.6 wheel-0.41.2 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.9.18\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.9/site-packages/pip (python 3.9)\n## modules: \nblack==23.9.1\nbuild==1.0.3\ncertifi==2023.7.22\ncffi==1.16.0\ncharset-normalizer==3.3.0\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.5\ndnspython==2.4.2\ndocutils==0.20.1\nexceptiongroup==1.1.3\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.2.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==3.11.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.16.1\npyproject_hooks==1.0.0\npytest==7.4.2\npytest-cov==4.1.0\npytest-mock==3.11.1\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.6.0\nSecretStorage==3.3.3\nsix==1.16.0\ntomli==2.0.1\ntwine==4.0.2\ntyping_extensions==4.8.0\nurllib3==2.0.6\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\ntests/test_octodns_processor_filter.py:199:13: local variable 'filter_private' is assigned to but never used\n##[error]Process completed with exit code 1.\n" }, { "step_name": "ci (3.10)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.10/site-packages (23.0.1)\nCollecting pip>=10.0.1\n Downloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.1/2.1 MB 40.2 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.0.1\n Uninstalling pip-23.0.1:\n Successfully uninstalled pip-23.0.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (705 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.16.1 (from -r requirements-dev.txt (line 2))\n Downloading Pygments-2.16.1-py3-none-any.whl.metadata (2.5 kB)\nCollecting black==23.9.1 (from -r requirements-dev.txt (line 3))\n Downloading black-23.9.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (65 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 65.1/65.1 kB 3.6 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.7.22 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.7.22-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.0 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (32 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 435.0/435.0 kB 37.2 MB/s eta 0:00:00\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 12))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 13))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 14))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 91.2/91.2 kB 27.0 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 15))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.2.0 (from -r requirements-dev.txt (line 16))\n Downloading keyring-24.2.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 17))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 18))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 19))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 20))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 21))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 22))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 23))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 24))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==3.11.0 (from -r requirements-dev.txt (line 25))\n Using cached platformdirs-3.11.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 26))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 27))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 28))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 29))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.1/10.1 MB 102.5 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 30))\n Downloading pycparser-2.21-py2.py3-none-any.whl (118 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 118.7/118.7 kB 32.3 MB/s eta 0:00:00\nCollecting pyflakes==3.1.0 (from -r requirements-dev.txt (line 31))\n Downloading pyflakes-3.1.0-py2.py3-none-any.whl.metadata (3.5 kB)\nCollecting pyproject_hooks==1.0.0 (from -r requirements-dev.txt (line 32))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting pytest-cov==4.1.0 (from -r requirements-dev.txt (line 33))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-mock==3.11.1 (from -r requirements-dev.txt (line 34))\n Downloading pytest_mock-3.11.1-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-network==0.0.1 (from -r requirements-dev.txt (line 35))\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pytest==7.4.2 (from -r requirements-dev.txt (line 36))\n Downloading pytest-7.4.2-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 37))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 38))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 39))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 54.5/54.5 kB 18.4 MB/s eta 0:00:00\nCollecting requests==2.31.0 (from -r requirements-dev.txt (line 40))\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting rfc3986==2.0.0 (from -r requirements-dev.txt (line 41))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich==13.6.0 (from -r requirements-dev.txt (line 42))\n Downloading rich-13.6.0-py3-none-any.whl.metadata (18 kB)\nCollecting setuptools==68.2.2 (from -r requirements-dev.txt (line 43))\n Using cached setuptools-68.2.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting twine==4.0.2 (from -r requirements-dev.txt (line 44))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting urllib3==2.0.6 (from -r requirements-dev.txt (line 45))\n Downloading urllib3-2.0.6-py3-none-any.whl.metadata (6.6 kB)\nCollecting wheel==0.41.2 (from -r requirements-dev.txt (line 46))\n Downloading wheel-0.41.2-py3-none-any.whl.metadata (2.2 kB)\nCollecting zipp==3.17.0 (from -r requirements-dev.txt (line 47))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting tomli>=1.1.0 (from black==23.9.1->-r requirements-dev.txt (line 3))\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting typing-extensions>=4.0.1 (from black==23.9.1->-r requirements-dev.txt (line 3))\n Downloading typing_extensions-4.8.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.4/48.4 kB 16.6 MB/s eta 0:00:00\nCollecting exceptiongroup>=1.0.0rc8 (from pytest==7.4.2->-r requirements-dev.txt (line 36))\n Downloading exceptiongroup-1.1.3-py3-none-any.whl.metadata (6.1 kB)\nRequirement already satisfied: idna<4,>=2.5 in ./env/lib/python3.10/site-packages (from requests==2.31.0->-r requirements-dev.txt (line 40)) (3.4)\nCollecting cryptography>=2.0 (from SecretStorage>=3.2->keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl.metadata (5.2 kB)\nDownloading Pygments-2.16.1-py3-none-any.whl (1.2 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 102.9 MB/s eta 0:00:00\nDownloading black-23.9.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.6/1.6 MB 109.5 MB/s eta 0:00:00\nDownloading build-1.0.3-py3-none-any.whl (18 kB)\nDownloading certifi-2023.7.22-py3-none-any.whl (158 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.3/158.3 kB 43.2 MB/s eta 0:00:00\nDownloading cffi-1.16.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (443 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 443.9/443.9 kB 78.5 MB/s eta 0:00:00\nDownloading charset_normalizer-3.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (138 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 138.7/138.7 kB 41.5 MB/s eta 0:00:00\nDownloading click-8.1.7-py3-none-any.whl (97 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 97.9/97.9 kB 33.1 MB/s eta 0:00:00\nDownloading coverage-7.3.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (227 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 227.5/227.5 kB 51.4 MB/s eta 0:00:00\nDownloading docutils-0.20.1-py3-none-any.whl (572 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 572.7/572.7 kB 85.4 MB/s eta 0:00:00\nDownloading importlib_metadata-6.8.0-py3-none-any.whl (22 kB)\nDownloading jaraco.classes-3.3.0-py3-none-any.whl (5.9 kB)\nDownloading keyring-24.2.0-py3-none-any.whl (37 kB)\nDownloading markdown_it_py-3.0.0-py3-none-any.whl (87 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 87.5/87.5 kB 28.1 MB/s eta 0:00:00\nDownloading more_itertools-10.1.0-py3-none-any.whl (55 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 55.8/55.8 kB 17.0 MB/s eta 0:00:00\nDownloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 107.2 MB/s eta 0:00:00\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 53.0/53.0 kB 17.1 MB/s eta 0:00:00\nDownloading pathspec-0.11.2-py3-none-any.whl (29 kB)\nUsing cached platformdirs-3.11.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyflakes-3.1.0-py2.py3-none-any.whl (62 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 kB 18.2 MB/s eta 0:00:00\nDownloading pytest_cov-4.1.0-py3-none-any.whl (21 kB)\nDownloading pytest_mock-3.11.1-py3-none-any.whl (9.6 kB)\nDownloading pytest-7.4.2-py3-none-any.whl (324 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 324.5/324.5 kB 70.1 MB/s eta 0:00:00\nDownloading readme_renderer-42.0-py3-none-any.whl (13 kB)\nDownloading requests-2.31.0-py3-none-any.whl (62 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 kB 19.6 MB/s eta 0:00:00\nDownloading rich-13.6.0-py3-none-any.whl (239 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 239.8/239.8 kB 55.8 MB/s eta 0:00:00\nUsing cached setuptools-68.2.2-py3-none-any.whl (807 kB)\nDownloading urllib3-2.0.6-py3-none-any.whl (123 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 123.8/123.8 kB 35.7 MB/s eta 0:00:00\nDownloading wheel-0.41.2-py3-none-any.whl (64 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 64.8/64.8 kB 22.1 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nDownloading exceptiongroup-1.1.3-py3-none-any.whl (14 kB)\nDownloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\nDownloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.4/4.4 MB 109.2 MB/s eta 0:00:00\nBuilding wheels for collected packages: pycountry, pytest-network\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=67969fc94bc21f66c451a4f9aca63f622127f5d9251f50eab636ccc0b9de647d\n Stored in directory: /home/runner/.cache/pip/wheels/03/57/cc/290c5252ec97a6d78d36479a3c5e5ecc76318afcb241ad9dbe\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2959 sha256=53b635012eaef307a62a331d62218923059a89f3603d065bcc9305e972e30505\n Stored in directory: /home/runner/.cache/pip/wheels/d4/4d/d7/84f36e5490a746c74c91552708a74a4922d23092dd24d4e750\nSuccessfully built pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, typing-extensions, tomli, setuptools, rfc3986, Pygments, pyflakes, pycparser, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, exceptiongroup, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, pyproject_hooks, pycountry, markdown-it-py, jaraco.classes, importlib-metadata, cffi, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, build, SecretStorage, pycountry-convert, keyring, twine\n Attempting uninstall: setuptools\n Found existing installation: setuptools 65.5.0\n Uninstalling setuptools-65.5.0:\n Successfully uninstalled setuptools-65.5.0\nSuccessfully installed Pygments-2.16.1 SecretStorage-3.3.3 black-23.9.1 build-1.0.3 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.0 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.5 docutils-0.20.1 exceptiongroup-1.1.3 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.2.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-3.11.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.2 pytest-cov-4.1.0 pytest-mock-3.11.1 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.6.0 setuptools-68.2.2 tomli-2.0.1 twine-4.0.2 typing-extensions-4.8.0 urllib3-2.0.6 wheel-0.41.2 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.10.13\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.10/site-packages/pip (python 3.10)\n## modules: \nblack==23.9.1\nbuild==1.0.3\ncertifi==2023.7.22\ncffi==1.16.0\ncharset-normalizer==3.3.0\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.5\ndnspython==2.4.2\ndocutils==0.20.1\nexceptiongroup==1.1.3\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.2.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==3.11.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.16.1\npyproject_hooks==1.0.0\npytest==7.4.2\npytest-cov==4.1.0\npytest-mock==3.11.1\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.6.0\nSecretStorage==3.3.3\nsix==1.16.0\ntomli==2.0.1\ntwine==4.0.2\ntyping_extensions==4.8.0\nurllib3==2.0.6\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\ntests/test_octodns_processor_filter.py:199:13: local variable 'filter_private' is assigned to but never used\n##[error]Process completed with exit code 1.\n" }, { "step_name": "ci (3.11)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.6/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.6/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.6/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.11/site-packages (23.2.1)\nCollecting pip>=10.0.1\n Obtaining dependency information for pip>=10.0.1 from https://files.pythonhosted.org/packages/47/6a/453160888fab7c6a432a6e25f8afe6256d0d9f2cbd25971021da6491d899/pip-23.3.1-py3-none-any.whl.metadata\n Downloading pip-23.3.1-py3-none-any.whl.metadata (3.5 kB)\nDownloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.1/2.1 MB 13.1 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.2.1\n Uninstalling pip-23.2.1:\n Successfully uninstalled pip-23.2.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (757 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.16.1 (from -r requirements-dev.txt (line 2))\n Downloading Pygments-2.16.1-py3-none-any.whl.metadata (2.5 kB)\nCollecting black==23.9.1 (from -r requirements-dev.txt (line 3))\n Downloading black-23.9.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (65 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 65.1/65.1 kB 2.0 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.7.22 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.7.22-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.0 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (32 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 435.0/435.0 kB 7.7 MB/s eta 0:00:00\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 12))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 13))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 14))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 91.2/91.2 kB 6.9 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 15))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.2.0 (from -r requirements-dev.txt (line 16))\n Downloading keyring-24.2.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 17))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 18))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 19))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 20))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 21))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 22))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 23))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 24))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==3.11.0 (from -r requirements-dev.txt (line 25))\n Using cached platformdirs-3.11.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 26))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 27))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 28))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 29))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.1/10.1 MB 25.1 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 30))\n Downloading pycparser-2.21-py2.py3-none-any.whl (118 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 118.7/118.7 kB 21.7 MB/s eta 0:00:00\nCollecting pyflakes==3.1.0 (from -r requirements-dev.txt (line 31))\n Downloading pyflakes-3.1.0-py2.py3-none-any.whl.metadata (3.5 kB)\nCollecting pyproject_hooks==1.0.0 (from -r requirements-dev.txt (line 32))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting pytest-cov==4.1.0 (from -r requirements-dev.txt (line 33))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-mock==3.11.1 (from -r requirements-dev.txt (line 34))\n Downloading pytest_mock-3.11.1-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-network==0.0.1 (from -r requirements-dev.txt (line 35))\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pytest==7.4.2 (from -r requirements-dev.txt (line 36))\n Downloading pytest-7.4.2-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 37))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 38))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 39))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 54.5/54.5 kB 8.9 MB/s eta 0:00:00\nCollecting requests==2.31.0 (from -r requirements-dev.txt (line 40))\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting rfc3986==2.0.0 (from -r requirements-dev.txt (line 41))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich==13.6.0 (from -r requirements-dev.txt (line 42))\n Downloading rich-13.6.0-py3-none-any.whl.metadata (18 kB)\nCollecting setuptools==68.2.2 (from -r requirements-dev.txt (line 43))\n Using cached setuptools-68.2.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting twine==4.0.2 (from -r requirements-dev.txt (line 44))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting urllib3==2.0.6 (from -r requirements-dev.txt (line 45))\n Downloading urllib3-2.0.6-py3-none-any.whl.metadata (6.6 kB)\nCollecting wheel==0.41.2 (from -r requirements-dev.txt (line 46))\n Downloading wheel-0.41.2-py3-none-any.whl.metadata (2.2 kB)\nCollecting zipp==3.17.0 (from -r requirements-dev.txt (line 47))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.4/48.4 kB 9.0 MB/s eta 0:00:00\nRequirement already satisfied: idna<4,>=2.5 in ./env/lib/python3.11/site-packages (from requests==2.31.0->-r requirements-dev.txt (line 40)) (3.4)\nCollecting cryptography>=2.0 (from SecretStorage>=3.2->keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl.metadata (5.2 kB)\nDownloading Pygments-2.16.1-py3-none-any.whl (1.2 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 46.5 MB/s eta 0:00:00\nDownloading black-23.9.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.6/1.6 MB 39.7 MB/s eta 0:00:00\nDownloading build-1.0.3-py3-none-any.whl (18 kB)\nDownloading certifi-2023.7.22-py3-none-any.whl (158 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.3/158.3 kB 27.3 MB/s eta 0:00:00\nDownloading cffi-1.16.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (464 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 464.8/464.8 kB 49.5 MB/s eta 0:00:00\nDownloading charset_normalizer-3.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (137 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 137.1/137.1 kB 22.6 MB/s eta 0:00:00\nDownloading click-8.1.7-py3-none-any.whl (97 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 97.9/97.9 kB 18.5 MB/s eta 0:00:00\nDownloading coverage-7.3.2-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (231 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 231.4/231.4 kB 36.5 MB/s eta 0:00:00\nDownloading docutils-0.20.1-py3-none-any.whl (572 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 572.7/572.7 kB 58.1 MB/s eta 0:00:00\nDownloading importlib_metadata-6.8.0-py3-none-any.whl (22 kB)\nDownloading jaraco.classes-3.3.0-py3-none-any.whl (5.9 kB)\nDownloading keyring-24.2.0-py3-none-any.whl (37 kB)\nDownloading markdown_it_py-3.0.0-py3-none-any.whl (87 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 87.5/87.5 kB 18.0 MB/s eta 0:00:00\nDownloading more_itertools-10.1.0-py3-none-any.whl (55 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 55.8/55.8 kB 9.9 MB/s eta 0:00:00\nDownloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 57.8 MB/s eta 0:00:00\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 53.0/53.0 kB 9.1 MB/s eta 0:00:00\nDownloading pathspec-0.11.2-py3-none-any.whl (29 kB)\nUsing cached platformdirs-3.11.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyflakes-3.1.0-py2.py3-none-any.whl (62 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 kB 13.0 MB/s eta 0:00:00\nDownloading pytest_cov-4.1.0-py3-none-any.whl (21 kB)\nDownloading pytest_mock-3.11.1-py3-none-any.whl (9.6 kB)\nDownloading pytest-7.4.2-py3-none-any.whl (324 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 324.5/324.5 kB 45.7 MB/s eta 0:00:00\nDownloading readme_renderer-42.0-py3-none-any.whl (13 kB)\nDownloading requests-2.31.0-py3-none-any.whl (62 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 kB 12.1 MB/s eta 0:00:00\nDownloading rich-13.6.0-py3-none-any.whl (239 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 239.8/239.8 kB 36.2 MB/s eta 0:00:00\nUsing cached setuptools-68.2.2-py3-none-any.whl (807 kB)\nDownloading urllib3-2.0.6-py3-none-any.whl (123 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 123.8/123.8 kB 22.3 MB/s eta 0:00:00\nDownloading wheel-0.41.2-py3-none-any.whl (64 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 64.8/64.8 kB 12.7 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nDownloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.4/4.4 MB 58.7 MB/s eta 0:00:00\nBuilding wheels for collected packages: pycountry, pytest-network\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=5a175d6e91d868a15a3558d72c3b0fa0435af91b40f7d5bb2756ee4b5d6582ea\n Stored in directory: /home/runner/.cache/pip/wheels/cd/29/8b/617685ed7942656b36efb06ff9247dbe832e3f4f7724fffc09\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2959 sha256=fed6a8d1c4975562b48cfd776b8d3372299fb8284e39f18f27e339aeb956a84d\n Stored in directory: /home/runner/.cache/pip/wheels/da/cb/c3/504bc4a9f8dadada066a674b01af36cd6144a159cab93c8c85\nSuccessfully built pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, setuptools, rfc3986, pyproject_hooks, Pygments, pyflakes, pycparser, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, pycountry, markdown-it-py, jaraco.classes, importlib-metadata, cffi, build, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, SecretStorage, pycountry-convert, keyring, twine\n Attempting uninstall: setuptools\n Found existing installation: setuptools 65.5.0\n Uninstalling setuptools-65.5.0:\n Successfully uninstalled setuptools-65.5.0\nSuccessfully installed Pygments-2.16.1 SecretStorage-3.3.3 black-23.9.1 build-1.0.3 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.0 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.5 docutils-0.20.1 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.2.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-3.11.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.2 pytest-cov-4.1.0 pytest-mock-3.11.1 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.6.0 setuptools-68.2.2 twine-4.0.2 urllib3-2.0.6 wheel-0.41.2 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.11.6\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.11/site-packages/pip (python 3.11)\n## modules: \nblack==23.9.1\nbuild==1.0.3\ncertifi==2023.7.22\ncffi==1.16.0\ncharset-normalizer==3.3.0\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.5\ndnspython==2.4.2\ndocutils==0.20.1\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.2.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==3.11.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.16.1\npyproject_hooks==1.0.0\npytest==7.4.2\npytest-cov==4.1.0\npytest-mock==3.11.1\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.6.0\nSecretStorage==3.3.3\nsix==1.16.0\ntwine==4.0.2\nurllib3==2.0.6\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\ntests/test_octodns_processor_filter.py:199:13: local variable 'filter_private' is assigned to but never used\n##[error]Process completed with exit code 1.\n" }, { "step_name": "ci (3.12)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.12/site-packages (23.2.1)\nCollecting pip>=10.0.1\n Obtaining dependency information for pip>=10.0.1 from https://files.pythonhosted.org/packages/47/6a/453160888fab7c6a432a6e25f8afe6256d0d9f2cbd25971021da6491d899/pip-23.3.1-py3-none-any.whl.metadata\n Downloading pip-23.3.1-py3-none-any.whl.metadata (3.5 kB)\nDownloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.1/2.1 MB 44.1 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.2.1\n Uninstalling pip-23.2.1:\n Successfully uninstalled pip-23.2.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.16.1 (from -r requirements-dev.txt (line 2))\n Downloading Pygments-2.16.1-py3-none-any.whl.metadata (2.5 kB)\nCollecting black==23.9.1 (from -r requirements-dev.txt (line 3))\n Downloading black-23.9.1-py3-none-any.whl.metadata (65 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 65.1/65.1 kB 3.5 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.7.22 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.7.22-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.0 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (32 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27.tar.gz (141 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 141.2/141.2 kB 34.5 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Installing backend dependencies: started\n Installing backend dependencies: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 12))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 13))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 14))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 91.2/91.2 kB 29.0 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 15))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.2.0 (from -r requirements-dev.txt (line 16))\n Downloading keyring-24.2.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 17))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 18))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 19))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 20))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 21))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 22))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 23))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 24))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==3.11.0 (from -r requirements-dev.txt (line 25))\n Using cached platformdirs-3.11.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 26))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 27))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 28))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 29))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.1/10.1 MB 132.2 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 30))\n Using cached pycparser-2.21-py2.py3-none-any.whl (118 kB)\nCollecting pyflakes==3.1.0 (from -r requirements-dev.txt (line 31))\n Downloading pyflakes-3.1.0-py2.py3-none-any.whl.metadata (3.5 kB)\nCollecting pyproject_hooks==1.0.0 (from -r requirements-dev.txt (line 32))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting pytest-cov==4.1.0 (from -r requirements-dev.txt (line 33))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-mock==3.11.1 (from -r requirements-dev.txt (line 34))\n Downloading pytest_mock-3.11.1-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-network==0.0.1 (from -r requirements-dev.txt (line 35))\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pytest==7.4.2 (from -r requirements-dev.txt (line 36))\n Downloading pytest-7.4.2-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 37))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 38))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 39))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 54.5/54.5 kB 19.4 MB/s eta 0:00:00\nCollecting requests==2.31.0 (from -r requirements-dev.txt (line 40))\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting rfc3986==2.0.0 (from -r requirements-dev.txt (line 41))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich==13.6.0 (from -r requirements-dev.txt (line 42))\n Downloading rich-13.6.0-py3-none-any.whl.metadata (18 kB)\nCollecting setuptools==68.2.2 (from -r requirements-dev.txt (line 43))\n Using cached setuptools-68.2.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting twine==4.0.2 (from -r requirements-dev.txt (line 44))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting urllib3==2.0.6 (from -r requirements-dev.txt (line 45))\n Downloading urllib3-2.0.6-py3-none-any.whl.metadata (6.6 kB)\nCollecting wheel==0.41.2 (from -r requirements-dev.txt (line 46))\n Downloading wheel-0.41.2-py3-none-any.whl.metadata (2.2 kB)\nCollecting zipp==3.17.0 (from -r requirements-dev.txt (line 47))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.4/48.4 kB 17.5 MB/s eta 0:00:00\nRequirement already satisfied: idna<4,>=2.5 in ./env/lib/python3.12/site-packages (from requests==2.31.0->-r requirements-dev.txt (line 40)) (3.4)\nCollecting cryptography>=2.0 (from SecretStorage>=3.2->keyring==24.2.0->-r requirements-dev.txt (line 16))\n Downloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl.metadata (5.2 kB)\nDownloading Pygments-2.16.1-py3-none-any.whl (1.2 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 104.6 MB/s eta 0:00:00\nDownloading black-23.9.1-py3-none-any.whl (182 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 182.6/182.6 kB 51.8 MB/s eta 0:00:00\nDownloading build-1.0.3-py3-none-any.whl (18 kB)\nDownloading certifi-2023.7.22-py3-none-any.whl (158 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.3/158.3 kB 47.8 MB/s eta 0:00:00\nUsing cached cffi-1.16.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (477 kB)\nDownloading charset_normalizer-3.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (138 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 138.7/138.7 kB 40.8 MB/s eta 0:00:00\nDownloading click-8.1.7-py3-none-any.whl (97 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 97.9/97.9 kB 30.7 MB/s eta 0:00:00\nDownloading coverage-7.3.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (232 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 232.3/232.3 kB 59.6 MB/s eta 0:00:00\nDownloading docutils-0.20.1-py3-none-any.whl (572 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 572.7/572.7 kB 85.8 MB/s eta 0:00:00\nDownloading 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62.6/62.6 kB 22.6 MB/s eta 0:00:00\nDownloading pytest_cov-4.1.0-py3-none-any.whl (21 kB)\nDownloading pytest_mock-3.11.1-py3-none-any.whl (9.6 kB)\nDownloading pytest-7.4.2-py3-none-any.whl (324 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 324.5/324.5 kB 71.5 MB/s eta 0:00:00\nDownloading readme_renderer-42.0-py3-none-any.whl (13 kB)\nDownloading requests-2.31.0-py3-none-any.whl (62 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 kB 22.0 MB/s eta 0:00:00\nDownloading rich-13.6.0-py3-none-any.whl (239 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 239.8/239.8 kB 62.0 MB/s eta 0:00:00\nUsing cached setuptools-68.2.2-py3-none-any.whl (807 kB)\nDownloading urllib3-2.0.6-py3-none-any.whl (123 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 123.8/123.8 kB 37.1 MB/s eta 0:00:00\nDownloading wheel-0.41.2-py3-none-any.whl (64 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 64.8/64.8 kB 23.7 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nDownloading cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.4/4.4 MB 119.3 MB/s eta 0:00:00\nBuilding wheels for collected packages: cmarkgfm, pycountry, pytest-network\n Building wheel for cmarkgfm (pyproject.toml): started\n Building wheel for cmarkgfm (pyproject.toml): finished with status 'done'\n Created wheel for cmarkgfm: filename=cmarkgfm-2022.10.27-cp312-cp312-linux_x86_64.whl size=438510 sha256=440245c828301f55b2b78d4db633391b3b017f850a82444bd62781c17d3b2b4e\n Stored in directory: /home/runner/.cache/pip/wheels/6c/1d/0d/bc5293f7edd716c8f7a9b25a5f502bd38e1c55571911c11061\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=baa4c10f33363afe9dbb8805396477ce477b6bba3dfd9ea76dc124e0456fa8ce\n Stored in directory: /home/runner/.cache/pip/wheels/d6/29/9b/b87113e87dc952ca6b3cf003fca8372f7bd12295acf65992eb\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2959 sha256=76de79b52539a868a5f6ac38beefbbb6220e96694dc168f82d9c7fed67009d10\n Stored in directory: /home/runner/.cache/pip/wheels/e9/6b/5a/3160ef803b88264fbb8882984c076ae87b75c5297a401103e4\nSuccessfully built cmarkgfm pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, setuptools, rfc3986, pyproject_hooks, Pygments, pyflakes, pycparser, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, pycountry, markdown-it-py, jaraco.classes, importlib-metadata, cffi, build, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, SecretStorage, pycountry-convert, keyring, twine\nSuccessfully installed Pygments-2.16.1 SecretStorage-3.3.3 black-23.9.1 build-1.0.3 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.0 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.5 docutils-0.20.1 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.2.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-3.11.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.2 pytest-cov-4.1.0 pytest-mock-3.11.1 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.6.0 setuptools-68.2.2 twine-4.0.2 urllib3-2.0.6 wheel-0.41.2 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.12.0\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.12/site-packages/pip (python 3.12)\n## modules: \nblack==23.9.1\nbuild==1.0.3\ncertifi==2023.7.22\ncffi==1.16.0\ncharset-normalizer==3.3.0\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.5\ndnspython==2.4.2\ndocutils==0.20.1\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.2.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==3.11.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.16.1\npyproject_hooks==1.0.0\npytest==7.4.2\npytest-cov==4.1.0\npytest-mock==3.11.1\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.6.0\nSecretStorage==3.3.3\nsetuptools==68.2.2\nsix==1.16.0\ntwine==4.0.2\nurllib3==2.0.6\nwheel==0.41.2\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\ntests/test_octodns_processor_filter.py:199:13: local variable 'filter_private' is assigned to but never used\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/tests/test_octodns_processor_filter.py b/tests/test_octodns_processor_filter.py index 6525900..7ee98a8 100644 --- a/tests/test_octodns_processor_filter.py +++ b/tests/test_octodns_processor_filter.py @@ -196,7 +196,7 @@ class TestNetworkValueFilter(TestCase): def test_bad_config(self): with self.assertRaises(ValueError): - filter_private = NetworkValueRejectlistFilter( + NetworkValueRejectlistFilter( 'rejectlist', set(('string', '42.42.42.42/43')) )	1	[ "tests/test_octodns_processor_filter.py" ]	https://github.com/octodns/octodns/tree/3ed7a88e343c89b7153efea25db1b6287b2f0823	2023-11-10T12:58:08Z
Python	162	octodns	octodns	ajalil/zone-not-found-error	OctoDNS	main.yml	.github/workflows/main.yml	AlizeyJalil	9e1aa7b8edfb723656f41f97bab57f9a653d5e1b	98a11753994a5d3d80f84ec4db85a0deb819ba52	name: OctoDNS on: [pull_request] jobs: config: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 outputs: json: ${{ steps.load.outputs.json }} steps: - uses: actions/checkout@v4 - id: load # based on https://docs.github.com/en/actions/using-workflows/workflow-commands-for-github-actions#multiline-strings run: \| { echo 'json<<EOF' cat ./.ci-config.json echo EOF } >> $GITHUB_OUTPUT ci: needs: config runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: fail-fast: false matrix: # Defined in a file that resides in the top level of octodns/octodns, # based on dates in https://devguide.python.org/versions/#versions python-version: ${{ fromJson(needs.config.outputs.json).python_versions_active }} steps: - uses: actions/checkout@v4 - name: Setup python uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} architecture: x64 - name: Install dependencies run: \| python -m pip install --upgrade pip pip install -r requirements.txt pip install virtualenv - name: CI Build run: \| ./script/cibuild - name: Store Code Coverage Data # if the previous step(s) failed try anyways if: always() uses: actions/upload-artifact@v3 with: name: code-coverage-${{ matrix.python-version }} path: \| .coverage coverage.xml htmlcov setup-py: needs: config runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v4 - name: Setup python uses: actions/setup-python@v4 with: # Most recent release from https://devguide.python.org/versions/#versions python-version: ${{ fromJson(needs.config.outputs.json).python_version_current }} architecture: x64 - name: CI setup.py run: \| ./script/cibuild-setup-py env: PIP_INDEX_URL: http://localhost:8629/2023-12-13 UV_INDEX_URL: http://localhost:8629/2023-12-13	[ { "step_name": "setup-py/4_CI setup.py.txt", "log": "##[group]Run ./script/cibuild-setup-py\n\u001b[36;1m./script/cibuild-setup-py\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.0/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.0/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.0/x64/lib\n##[endgroup]\n## create test venv ############################################################\nCollecting setuptools\n Obtaining dependency information for setuptools from https://files.pythonhosted.org/packages/bb/e1/ed2dd0850446b8697ad28d118df885ad04140c64ace06c4bd559f7c8a94f/setuptools-69.0.2-py3-none-any.whl.metadata\n Downloading setuptools-69.0.2-py3-none-any.whl.metadata (6.3 kB)\nDownloading setuptools-69.0.2-py3-none-any.whl (819 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 819.5/819.5 kB 22.3 MB/s eta 0:00:00\nInstalling collected packages: setuptools\nSuccessfully installed setuptools-69.0.2\n\n[notice] A new release of pip is available: 23.2.1 -> 23.3.1\n[notice] To update, run: pip install --upgrade pip\n## environment & versions ######################################################\nPython 3.12.0\npip 23.2.1 from /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/pip (python 3.12)\n## validate setup.py build #####################################################\nrunning build\nrunning build_py\ncreating build\ncreating build/lib\ncreating build/lib/octodns\ncopying octodns/context.py -> build/lib/octodns\ncopying octodns/deprecation.py -> build/lib/octodns\ncopying octodns/equality.py -> build/lib/octodns\ncopying octodns/__init__.py -> build/lib/octodns\ncopying octodns/zone.py -> build/lib/octodns\ncopying octodns/idna.py -> build/lib/octodns\ncopying octodns/yaml.py -> build/lib/octodns\ncopying octodns/manager.py -> build/lib/octodns\ncreating build/lib/octodns/source\ncopying octodns/source/base.py -> build/lib/octodns/source\ncopying octodns/source/__init__.py -> build/lib/octodns/source\ncopying octodns/source/tinydns.py -> build/lib/octodns/source\ncopying octodns/source/envvar.py -> build/lib/octodns/source\ncreating build/lib/octodns/cmds\ncopying octodns/cmds/sync.py -> build/lib/octodns/cmds\ncopying octodns/cmds/report.py -> build/lib/octodns/cmds\ncopying octodns/cmds/dump.py -> build/lib/octodns/cmds\ncopying octodns/cmds/args.py -> build/lib/octodns/cmds\ncopying octodns/cmds/__init__.py -> build/lib/octodns/cmds\ncopying octodns/cmds/versions.py -> build/lib/octodns/cmds\ncopying octodns/cmds/compare.py -> build/lib/octodns/cmds\ncopying octodns/cmds/validate.py -> build/lib/octodns/cmds\ncreating build/lib/octodns/record\ncopying octodns/record/base.py -> build/lib/octodns/record\ncopying octodns/record/txt.py -> build/lib/octodns/record\ncopying octodns/record/naptr.py -> build/lib/octodns/record\ncopying octodns/record/alias.py -> build/lib/octodns/record\ncopying octodns/record/geo_data.py -> build/lib/octodns/record\ncopying octodns/record/ptr.py -> build/lib/octodns/record\ncopying octodns/record/ns.py -> build/lib/octodns/record\ncopying octodns/record/cname.py -> build/lib/octodns/record\ncopying octodns/record/urlfwd.py -> build/lib/octodns/record\ncopying octodns/record/rr.py -> build/lib/octodns/record\ncopying octodns/record/target.py -> build/lib/octodns/record\ncopying octodns/record/exception.py -> build/lib/octodns/record\ncopying octodns/record/__init__.py -> build/lib/octodns/record\ncopying octodns/record/tlsa.py -> build/lib/octodns/record\ncopying octodns/record/srv.py -> build/lib/octodns/record\ncopying octodns/record/caa.py -> build/lib/octodns/record\ncopying octodns/record/dynamic.py -> build/lib/octodns/record\ncopying octodns/record/loc.py -> build/lib/octodns/record\ncopying octodns/record/chunked.py -> build/lib/octodns/record\ncopying octodns/record/ip.py -> build/lib/octodns/record\ncopying octodns/record/ds.py -> build/lib/octodns/record\ncopying octodns/record/spf.py -> build/lib/octodns/record\ncopying octodns/record/aaaa.py -> build/lib/octodns/record\ncopying octodns/record/a.py -> build/lib/octodns/record\ncopying octodns/record/subnet.py -> build/lib/octodns/record\ncopying octodns/record/change.py -> build/lib/octodns/record\ncopying octodns/record/geo.py -> build/lib/octodns/record\ncopying octodns/record/dname.py -> build/lib/octodns/record\ncopying octodns/record/sshfp.py -> build/lib/octodns/record\ncopying octodns/record/mx.py -> build/lib/octodns/record\ncreating build/lib/octodns/processor\ncopying octodns/processor/meta.py -> build/lib/octodns/processor\ncopying octodns/processor/base.py -> build/lib/octodns/processor\ncopying octodns/processor/ownership.py -> build/lib/octodns/processor\ncopying octodns/processor/filter.py -> build/lib/octodns/processor\ncopying octodns/processor/__init__.py -> build/lib/octodns/processor\ncopying octodns/processor/restrict.py -> build/lib/octodns/processor\ncopying octodns/processor/acme.py -> build/lib/octodns/processor\ncopying octodns/processor/spf.py -> build/lib/octodns/processor\ncopying octodns/processor/arpa.py -> build/lib/octodns/processor\ncreating build/lib/octodns/provider\ncopying octodns/provider/base.py -> build/lib/octodns/provider\ncopying octodns/provider/plan.py -> build/lib/octodns/provider\ncopying octodns/provider/__init__.py -> build/lib/octodns/provider\ncopying octodns/provider/yaml.py -> build/lib/octodns/provider\n## validate setup.py install ###################################################\nrunning install\n/tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.\n!!\n\n ******************************************************************************\n Please avoid running ``setup.py`` directly.\n Instead, use pypa/build, pypa/installer or other\n standards-based tools.\n\n See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.\n ****************************************************************************\n\n!!\n self.initialize_options()\n/tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: EasyInstallDeprecationWarning: easy_install command is deprecated.\n!!\n\n ****************************************************************************\n Please avoid running ``setup.py`` and ``easy_install``.\n Instead, use pypa/build, pypa/installer or other\n standards-based tools.\n\n See https://github.com/pypa/setuptools/issues/917 for details.\n *****************************************************************************\n\n!!\n self.initialize_options()\nrunning bdist_egg\nrunning egg_info\ncreating octodns.egg-info\nwriting octodns.egg-info/PKG-INFO\nwriting dependency_links to octodns.egg-info/dependency_links.txt\nwriting entry points to octodns.egg-info/entry_points.txt\nwriting requirements to octodns.egg-info/requires.txt\nwriting top-level names to octodns.egg-info/top_level.txt\nwriting manifest file 'octodns.egg-info/SOURCES.txt'\nreading manifest file 'octodns.egg-info/SOURCES.txt'\nreading manifest template 'MANIFEST.in'\nwarning: no files found matching '.json' under directory 'tests'\nwarning: no files found matching '*.txt' under directory 'tests'\nadding license file 'LICENSE'\nwriting manifest file 'octodns.egg-info/SOURCES.txt'\ninstalling library code to build/bdist.linux-x86_64/egg\nrunning install_lib\nrunning build_py\ncopying octodns/context.py -> build/lib/octodns\ncopying octodns/deprecation.py -> build/lib/octodns\ncopying octodns/equality.py -> build/lib/octodns\ncopying octodns/__init__.py -> build/lib/octodns\ncopying octodns/zone.py -> build/lib/octodns\ncopying octodns/idna.py -> build/lib/octodns\ncopying octodns/yaml.py -> build/lib/octodns\ncopying octodns/manager.py -> build/lib/octodns\ncopying octodns/source/base.py -> build/lib/octodns/source\ncopying octodns/source/__init__.py -> build/lib/octodns/source\ncopying octodns/source/tinydns.py -> build/lib/octodns/source\ncopying octodns/source/envvar.py -> build/lib/octodns/source\ncopying octodns/cmds/sync.py -> build/lib/octodns/cmds\ncopying octodns/cmds/report.py -> build/lib/octodns/cmds\ncopying octodns/cmds/dump.py -> build/lib/octodns/cmds\ncopying octodns/cmds/args.py -> build/lib/octodns/cmds\ncopying octodns/cmds/__init__.py -> build/lib/octodns/cmds\ncopying octodns/cmds/versions.py -> build/lib/octodns/cmds\ncopying octodns/cmds/compare.py -> build/lib/octodns/cmds\ncopying octodns/cmds/validate.py -> build/lib/octodns/cmds\ncopying octodns/record/base.py -> build/lib/octodns/record\ncopying octodns/record/txt.py -> build/lib/octodns/record\ncopying octodns/record/naptr.py -> build/lib/octodns/record\ncopying octodns/record/alias.py -> build/lib/octodns/record\ncopying octodns/record/geo_data.py -> build/lib/octodns/record\ncopying octodns/record/ptr.py -> build/lib/octodns/record\ncopying octodns/record/ns.py -> build/lib/octodns/record\ncopying octodns/record/cname.py -> build/lib/octodns/record\ncopying octodns/record/urlfwd.py -> build/lib/octodns/record\ncopying octodns/record/rr.py -> build/lib/octodns/record\ncopying octodns/record/target.py -> build/lib/octodns/record\ncopying octodns/record/exception.py -> build/lib/octodns/record\ncopying octodns/record/__init__.py -> build/lib/octodns/record\ncopying octodns/record/tlsa.py -> build/lib/octodns/record\ncopying octodns/record/srv.py -> build/lib/octodns/record\ncopying octodns/record/caa.py -> build/lib/octodns/record\ncopying octodns/record/dynamic.py -> build/lib/octodns/record\ncopying octodns/record/loc.py -> build/lib/octodns/record\ncopying octodns/record/chunked.py -> build/lib/octodns/record\ncopying octodns/record/ip.py -> build/lib/octodns/record\ncopying octodns/record/ds.py -> build/lib/octodns/record\ncopying octodns/record/spf.py -> build/lib/octodns/record\ncopying octodns/record/aaaa.py -> build/lib/octodns/record\ncopying octodns/record/a.py -> build/lib/octodns/record\ncopying octodns/record/subnet.py -> build/lib/octodns/record\ncopying octodns/record/change.py -> build/lib/octodns/record\ncopying octodns/record/geo.py -> build/lib/octodns/record\ncopying octodns/record/dname.py -> build/lib/octodns/record\ncopying octodns/record/sshfp.py -> build/lib/octodns/record\ncopying octodns/record/mx.py -> build/lib/octodns/record\ncopying octodns/processor/meta.py -> build/lib/octodns/processor\ncopying octodns/processor/base.py -> build/lib/octodns/processor\ncopying octodns/processor/ownership.py -> build/lib/octodns/processor\ncopying octodns/processor/filter.py -> build/lib/octodns/processor\ncopying octodns/processor/__init__.py -> build/lib/octodns/processor\ncopying octodns/processor/restrict.py -> build/lib/octodns/processor\ncopying octodns/processor/acme.py -> build/lib/octodns/processor\ncopying octodns/processor/spf.py -> build/lib/octodns/processor\ncopying octodns/processor/arpa.py -> build/lib/octodns/processor\ncopying octodns/provider/base.py -> build/lib/octodns/provider\ncopying octodns/provider/plan.py -> build/lib/octodns/provider\ncopying octodns/provider/__init__.py -> build/lib/octodns/provider\ncopying octodns/provider/yaml.py -> build/lib/octodns/provider\ncreating build/bdist.linux-x86_64\ncreating build/bdist.linux-x86_64/egg\ncreating build/bdist.linux-x86_64/egg/octodns\ncreating build/bdist.linux-x86_64/egg/octodns/source\ncopying build/lib/octodns/source/base.py -> build/bdist.linux-x86_64/egg/octodns/source\ncopying build/lib/octodns/source/__init__.py -> build/bdist.linux-x86_64/egg/octodns/source\ncopying build/lib/octodns/source/tinydns.py -> build/bdist.linux-x86_64/egg/octodns/source\ncopying build/lib/octodns/source/envvar.py -> build/bdist.linux-x86_64/egg/octodns/source\ncreating build/bdist.linux-x86_64/egg/octodns/cmds\ncopying build/lib/octodns/cmds/sync.py -> build/bdist.linux-x86_64/egg/octodns/cmds\ncopying build/lib/octodns/cmds/report.py -> build/bdist.linux-x86_64/egg/octodns/cmds\ncopying build/lib/octodns/cmds/dump.py -> build/bdist.linux-x86_64/egg/octodns/cmds\ncopying build/lib/octodns/cmds/args.py -> build/bdist.linux-x86_64/egg/octodns/cmds\ncopying build/lib/octodns/cmds/__init__.py -> build/bdist.linux-x86_64/egg/octodns/cmds\ncopying build/lib/octodns/cmds/versions.py -> build/bdist.linux-x86_64/egg/octodns/cmds\ncopying build/lib/octodns/cmds/compare.py -> build/bdist.linux-x86_64/egg/octodns/cmds\ncopying build/lib/octodns/cmds/validate.py -> build/bdist.linux-x86_64/egg/octodns/cmds\ncopying build/lib/octodns/context.py -> build/bdist.linux-x86_64/egg/octodns\ncopying build/lib/octodns/deprecation.py -> build/bdist.linux-x86_64/egg/octodns\ncreating build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/base.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/txt.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/naptr.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/alias.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/geo_data.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/ptr.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/ns.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/cname.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/urlfwd.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/rr.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/target.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/exception.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/__init__.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/tlsa.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/srv.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/caa.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/dynamic.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/loc.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/chunked.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/ip.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/ds.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/spf.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/aaaa.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/a.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/subnet.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/change.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/geo.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/dname.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/sshfp.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/record/mx.py -> build/bdist.linux-x86_64/egg/octodns/record\ncopying build/lib/octodns/equality.py -> build/bdist.linux-x86_64/egg/octodns\ncopying build/lib/octodns/__init__.py -> build/bdist.linux-x86_64/egg/octodns\ncreating build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/processor/meta.py -> build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/processor/base.py -> build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/processor/ownership.py -> build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/processor/filter.py -> build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/processor/__init__.py -> build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/processor/restrict.py -> build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/processor/acme.py -> build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/processor/spf.py -> build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/processor/arpa.py -> build/bdist.linux-x86_64/egg/octodns/processor\ncopying build/lib/octodns/zone.py -> build/bdist.linux-x86_64/egg/octodns\ncopying build/lib/octodns/idna.py -> build/bdist.linux-x86_64/egg/octodns\ncreating build/bdist.linux-x86_64/egg/octodns/provider\ncopying build/lib/octodns/provider/base.py -> build/bdist.linux-x86_64/egg/octodns/provider\ncopying build/lib/octodns/provider/plan.py -> build/bdist.linux-x86_64/egg/octodns/provider\ncopying build/lib/octodns/provider/__init__.py -> build/bdist.linux-x86_64/egg/octodns/provider\ncopying build/lib/octodns/provider/yaml.py -> build/bdist.linux-x86_64/egg/octodns/provider\ncopying build/lib/octodns/yaml.py -> build/bdist.linux-x86_64/egg/octodns\ncopying build/lib/octodns/manager.py -> build/bdist.linux-x86_64/egg/octodns\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/source/base.py to base.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/source/__init__.py to __init__.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/source/tinydns.py to tinydns.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/source/envvar.py to envvar.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/cmds/sync.py to sync.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/cmds/report.py to report.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/cmds/dump.py to dump.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/cmds/args.py to args.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/cmds/__init__.py to __init__.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/cmds/versions.py to versions.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/cmds/compare.py to compare.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/cmds/validate.py to validate.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/context.py to context.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/deprecation.py to deprecation.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/base.py to base.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/txt.py to txt.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/naptr.py to naptr.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/alias.py to alias.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/geo_data.py to geo_data.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/ptr.py to ptr.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/ns.py to ns.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/cname.py to cname.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/urlfwd.py to urlfwd.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/rr.py to rr.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/target.py to target.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/exception.py to exception.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/__init__.py to __init__.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/tlsa.py to tlsa.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/srv.py to srv.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/caa.py to caa.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/dynamic.py to dynamic.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/loc.py to loc.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/chunked.py to chunked.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/ip.py to ip.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/ds.py to ds.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/spf.py to spf.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/aaaa.py to aaaa.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/a.py to a.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/subnet.py to subnet.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/change.py to change.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/geo.py to geo.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/dname.py to dname.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/sshfp.py to sshfp.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/record/mx.py to mx.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/equality.py to equality.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/__init__.py to __init__.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/processor/meta.py to meta.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/processor/base.py to base.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/processor/ownership.py to ownership.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/processor/filter.py to filter.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/processor/__init__.py to __init__.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/processor/restrict.py to restrict.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/processor/acme.py to acme.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/processor/spf.py to spf.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/processor/arpa.py to arpa.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/zone.py to zone.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/idna.py to idna.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/provider/base.py to base.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/provider/plan.py to plan.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/provider/__init__.py to __init__.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/provider/yaml.py to yaml.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/yaml.py to yaml.cpython-312.pyc\nbyte-compiling build/bdist.linux-x86_64/egg/octodns/manager.py to manager.cpython-312.pyc\ncreating build/bdist.linux-x86_64/egg/EGG-INFO\ncopying octodns.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO\ncopying octodns.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\ncopying octodns.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\ncopying octodns.egg-info/entry_points.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\ncopying octodns.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\ncopying octodns.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\nzip_safe flag not set; analyzing archive contents...\ncreating dist\ncreating 'dist/octodns-1.4.0-py3.12.egg' and adding 'build/bdist.linux-x86_64/egg' to it\nremoving 'build/bdist.linux-x86_64/egg' (and everything under it)\nProcessing octodns-1.4.0-py3.12.egg\nCopying octodns-1.4.0-py3.12.egg to /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages\nAdding octodns 1.4.0 to easy-install.pth file\nInstalling octodns-compare script to /tmp/ci-9dr3sWv5MQ/bin\nInstalling octodns-dump script to /tmp/ci-9dr3sWv5MQ/bin\nInstalling octodns-report script to /tmp/ci-9dr3sWv5MQ/bin\nInstalling octodns-sync script to /tmp/ci-9dr3sWv5MQ/bin\nInstalling octodns-validate script to /tmp/ci-9dr3sWv5MQ/bin\nInstalling octodns-versions script to /tmp/ci-9dr3sWv5MQ/bin\n\nInstalled /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/octodns-1.4.0-py3.12.egg\nProcessing dependencies for octodns==1.4.0\nSearching for python-dateutil>=2.8.1\nReading https://pypi.org/simple/python-dateutil/\nDownloading https://files.pythonhosted.org/packages/36/7a/87837f39d0296e723bb9b62bbb257d0355c7f6128853c78955f57342a56d/python_dateutil-2.8.2-py2.py3-none-any.whl#sha256=961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9\nBest match: python-dateutil 2.8.2\nProcessing python_dateutil-2.8.2-py2.py3-none-any.whl\nInstalling python_dateutil-2.8.2-py2.py3-none-any.whl to /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages\nAdding python-dateutil 2.8.2 to easy-install.pth file\ndetected new path './octodns-1.4.0-py3.12.egg'\n\nInstalled /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/python_dateutil-2.8.2-py3.12.egg\nSearching for natsort>=5.5.0\nReading https://pypi.org/simple/natsort/\nDownloading https://files.pythonhosted.org/packages/ef/82/7a9d0550484a62c6da82858ee9419f3dd1ccc9aa1c26a1e43da3ecd20b0d/natsort-8.4.0-py3-none-any.whl#sha256=4732914fb471f56b5cce04d7bae6f164a592c7712e1c85f9ef585e197299521c\nBest match: natsort 8.4.0\nProcessing natsort-8.4.0-py3-none-any.whl\nInstalling natsort-8.4.0-py3-none-any.whl to /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages\nAdding natsort 8.4.0 to easy-install.pth file\ndetected new path './python_dateutil-2.8.2-py3.12.egg'\nInstalling natsort script to /tmp/ci-9dr3sWv5MQ/bin\n\nInstalled /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/natsort-8.4.0-py3.12.egg\nSearching for idna>=3.3\nReading https://pypi.org/simple/idna/\nDownloading https://files.pythonhosted.org/packages/c2/e7/a82b05cf63a603df6e68d59ae6a68bf5064484a0718ea5033660af4b54a9/idna-3.6-py3-none-any.whl#sha256=c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f\nBest match: idna 3.6\nProcessing idna-3.6-py3-none-any.whl\nInstalling idna-3.6-py3-none-any.whl to /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages\nAdding idna 3.6 to easy-install.pth file\ndetected new path './natsort-8.4.0-py3.12.egg'\n\nInstalled /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/idna-3.6-py3.12.egg\nSearching for fqdn>=1.5.0\nReading https://pypi.org/simple/fqdn/\nDownloading https://files.pythonhosted.org/packages/cf/58/8acf1b3e91c58313ce5cb67df61001fc9dcd21be4fadb76c1a2d540e09ed/fqdn-1.5.1-py3-none-any.whl#sha256=3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014\nBest match: fqdn 1.5.1\nProcessing fqdn-1.5.1-py3-none-any.whl\nInstalling fqdn-1.5.1-py3-none-any.whl to /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages\nAdding fqdn 1.5.1 to easy-install.pth file\ndetected new path './idna-3.6-py3.12.egg'\n\nInstalled /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/fqdn-1.5.1-py3.12.egg\nSearching for dnspython>=2.2.1\nReading https://pypi.org/simple/dnspython/\nDownloading https://files.pythonhosted.org/packages/f6/b4/0a9bee52c50f226a3cbfb54263d02bb421c7f2adc136520729c2c689c1e5/dnspython-2.4.2-py3-none-any.whl#sha256=57c6fbaaeaaf39c891292012060beb141791735dbb4004798328fc2c467402d8\nBest match: dnspython 2.4.2\nProcessing dnspython-2.4.2-py3-none-any.whl\nInstalling dnspython-2.4.2-py3-none-any.whl to /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages\nAdding dnspython 2.4.2 to easy-install.pth file\ndetected new path './fqdn-1.5.1-py3.12.egg'\n\nInstalled /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/dnspython-2.4.2-py3.12.egg\nSearching for PyYaml>=4.2b1\nReading https://pypi.org/simple/PyYaml/\nDownloading https://files.pythonhosted.org/packages/b4/33/720548182ffa8344418126017aa1d4ab4aeec9a2275f04ce3f3573d8ace8/PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0\nBest match: PyYAML 6.0.1\nProcessing PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl\nInstalling PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages\nAdding PyYAML 6.0.1 to easy-install.pth file\ndetected new path './dnspython-2.4.2-py3.12.egg'\n\nInstalled /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/PyYAML-6.0.1-py3.12-linux-x86_64.egg\nSearching for six>=1.5\nReading https://pypi.org/simple/six/\nDownloading https://files.pythonhosted.org/packages/d9/5a/e7c31adbe875f2abbb91bd84cf2dc52d792b5a01506781dbcf25c91daf11/six-1.16.0-py2.py3-none-any.whl#sha256=8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254\nBest match: six 1.16.0\nProcessing six-1.16.0-py2.py3-none-any.whl\nInstalling six-1.16.0-py2.py3-none-any.whl to /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages\nAdding six 1.16.0 to easy-install.pth file\ndetected new path './PyYAML-6.0.1-py3.12-linux-x86_64.egg'\n\nInstalled /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/six-1.16.0-py3.12.egg\nFinished processing dependencies for octodns==1.4.0\n## validate tests can run against installed code ###############################\nDEPRECATION: Loading egg at /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/octodns-1.4.0-py3.12.egg is deprecated. pip 23.3 will enforce this behaviour change. A possible replacement is to use pip for package installation..\nDEPRECATION: Loading egg at /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/fqdn-1.5.1-py3.12.egg is deprecated. pip 23.3 will enforce this behaviour change. A possible replacement is to use pip for package installation..\nDEPRECATION: Loading egg at /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/PyYAML-6.0.1-py3.12-linux-x86_64.egg is deprecated. pip 23.3 will enforce this behaviour change. A possible replacement is to use pip for package installation..\nDEPRECATION: Loading egg at /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/dnspython-2.4.2-py3.12.egg is deprecated. pip 23.3 will enforce this behaviour change. A possible replacement is to use pip for package installation..\nDEPRECATION: Loading egg at /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/natsort-8.4.0-py3.12.egg is deprecated. pip 23.3 will enforce this behaviour change. A possible replacement is to use pip for package installation..\nDEPRECATION: Loading egg at /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/python_dateutil-2.8.2-py3.12.egg is deprecated. pip 23.3 will enforce this behaviour change. A possible replacement is to use pip for package installation..\nDEPRECATION: Loading egg at /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/idna-3.6-py3.12.egg is deprecated. pip 23.3 will enforce this behaviour change. A possible replacement is to use pip for package installation..\nDEPRECATION: Loading egg at /tmp/ci-9dr3sWv5MQ/lib/python3.12/site-packages/six-1.16.0-py3.12.egg is deprecated. pip 23.3 will enforce this behaviour change. A possible replacement is to use pip for package installation..\nCollecting pytest\n Obtaining dependency information for pytest from https://files.pythonhosted.org/packages/f3/8c/f16efd81ca8e293b2cc78f111190a79ee539d0d5d36ccd49975cb3beac60/pytest-7.4.3-py3-none-any.whl.metadata\n Downloading pytest-7.4.3-py3-none-any.whl.metadata (7.9 kB)\nCollecting pytest-network\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting iniconfig (from pytest)\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting packaging (from pytest)\n Obtaining dependency information for packaging from https://files.pythonhosted.org/packages/ec/1a/610693ac4ee14fcdf2d9bf3c493370e4f2ef7ae2e19217d7a237ff42367d/packaging-23.2-py3-none-any.whl.metadata\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pluggy<2.0,>=0.12 (from pytest)\n Obtaining dependency information for pluggy<2.0,>=0.12 from https://files.pythonhosted.org/packages/05/b8/42ed91898d4784546c5f06c60506400548db3f7a4b3fb441cba4e5c17952/pluggy-1.3.0-py3-none-any.whl.metadata\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nDownloading pytest-7.4.3-py3-none-any.whl (325 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 325.1/325.1 kB 18.1 MB/s eta 0:00:00\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 53.0/53.0 kB 24.7 MB/s eta 0:00:00\nBuilding wheels for collected packages: pytest-network\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2960 sha256=22094e1794e91a71cafae0c7499310ab87d524ac8ee14440dab54f00c22bd869\n Stored in directory: /home/runner/.cache/pip/wheels/e9/6b/5a/3160ef803b88264fbb8882984c076ae87b75c5297a401103e4\nSuccessfully built pytest-network\nInstalling collected packages: pluggy, packaging, iniconfig, pytest, pytest-network\nSuccessfully installed iniconfig-2.0.0 packaging-23.2 pluggy-1.3.0 pytest-7.4.3 pytest-network-0.0.1\n\n[notice] A new release of pip is available: 23.2.1 -> 23.3.1\n[notice] To update, run: pip install --upgrade pip\n============================= test session starts ==============================\nplatform linux -- Python 3.12.0, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/octodns/octodns\nconfigfile: pyproject.toml\nplugins: network-0.0.1\ncollected 294 items\n\ntests/test_octodns_equality.py .. [ 0%]\ntests/test_octodns_idna.py ......... [ 3%]\ntests/test_octodns_manager.py ...........................F.............. [ 18%]\n [ 18%]\ntests/test_octodns_plan.py .......... [ 21%]\ntests/test_octodns_processor_acme.py . [ 21%]\ntests/test_octodns_processor_arpa.py ......... [ 24%]\ntests/test_octodns_processor_filter.py ................ [ 30%]\ntests/test_octodns_processor_meta.py ...... [ 32%]\ntests/test_octodns_processor_ownership.py ... [ 33%]\ntests/test_octodns_processor_restrict.py . [ 33%]\ntests/test_octodns_processor_spf.py ....... [ 36%]\ntests/test_octodns_provider_base.py ................................ [ 46%]\ntests/test_octodns_provider_yaml.py ................... [ 53%]\ntests/test_octodns_record.py ......................... [ 61%]\ntests/test_octodns_record_a.py .. [ 62%]\ntests/test_octodns_record_aaaa.py ... [ 63%]\ntests/test_octodns_record_alias.py ... [ 64%]\ntests/test_octodns_record_caa.py .... [ 65%]\ntests/test_octodns_record_change.py .. [ 66%]\ntests/test_octodns_record_chunked.py . [ 67%]\ntests/test_octodns_record_cname.py ... [ 68%]\ntests/test_octodns_record_dname.py ... [ 69%]\ntests/test_octodns_record_ds.py . [ 69%]\ntests/test_octodns_record_dynamic.py ................ [ 74%]\ntests/test_octodns_record_geo.py ....... [ 77%]\ntests/test_octodns_record_ip.py . [ 77%]\ntests/test_octodns_record_loc.py .... [ 78%]\ntests/test_octodns_record_mx.py .... [ 80%]\ntests/test_octodns_record_naptr.py ... [ 81%]\ntests/test_octodns_record_ns.py ... [ 82%]\ntests/test_octodns_record_ptr.py ... [ 83%]\ntests/test_octodns_record_spf.py .. [ 84%]\ntests/test_octodns_record_srv.py .... [ 85%]\ntests/test_octodns_record_sshfp.py .... [ 86%]\ntests/test_octodns_record_target.py . [ 87%]\ntests/test_octodns_record_tlsa.py ... [ 88%]\ntests/test_octodns_record_txt.py .... [ 89%]\ntests/test_octodns_record_urlfwd.py .. [ 90%]\ntests/test_octodns_source_envvar.py .. [ 90%]\ntests/test_octodns_source_tinydns.py ..... [ 92%]\ntests/test_octodns_yaml.py .. [ 93%]\ntests/test_octodns_zone.py .................... [100%]\n\n=================================== FAILURES ===================================\n________________________ TestManager.test_missing_zone _________________________\n\nself = <test_octodns_manager.TestManager testMethod=test_missing_zone>\n\n def test_missing_zone(self):\n with self.assertRaises(ManagerException) as ctx:\n Manager(get_config_filename('dynamic-config.yaml')).sync(\n ['missing.zones.']\n )\n> self.assertTrue('Requested zone:' in str(ctx.exception))\nE AssertionError: False is not true\n\ntests/test_octodns_manager.py:87: AssertionError\n=========================== short test summary info ============================\nFAILED tests/test_octodns_manager.py::TestManager::test_missing_zone - AssertionError: False is not true\n======================== 1 failed, 293 passed in 2.63s =========================\n##[error]Process completed with exit code 1.\n" }, { "step_name": "ci (3.8)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.8/site-packages (23.0.1)\nCollecting pip>=10.0.1\n Downloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.1/2.1 MB 38.2 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.0.1\n Uninstalling pip-23.0.1:\n Successfully uninstalled pip-23.0.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (736 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.17.2 (from -r requirements-dev.txt (line 2))\n Downloading pygments-2.17.2-py3-none-any.whl.metadata (2.6 kB)\nCollecting black==23.11.0 (from -r requirements-dev.txt (line 3))\n Downloading black-23.11.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (66 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.9/66.9 kB 4.3 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.11.17 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.11.17-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.2 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (33 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 435.2/435.2 kB 43.2 MB/s eta 0:00:00\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting exceptiongroup==1.2.0 (from -r requirements-dev.txt (line 12))\n Downloading exceptiongroup-1.2.0-py3-none-any.whl.metadata (6.6 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 13))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 14))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 15))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 91.2/91.2 kB 22.6 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 16))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.3.0 (from -r requirements-dev.txt (line 17))\n Downloading keyring-24.3.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 18))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 19))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 20))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 21))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 22))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 23))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 24))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 25))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==4.0.0 (from -r requirements-dev.txt (line 26))\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 27))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 28))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 29))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 30))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.1/10.1 MB 100.5 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 31))\n Downloading pycparser-2.21-py2.py3-none-any.whl (118 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 118.7/118.7 kB 32.7 MB/s eta 0:00:00\nCollecting pyflakes==3.1.0 (from -r requirements-dev.txt (line 32))\n Downloading pyflakes-3.1.0-py2.py3-none-any.whl.metadata (3.5 kB)\nCollecting pyproject_hooks==1.0.0 (from -r requirements-dev.txt (line 33))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting pytest-cov==4.1.0 (from -r requirements-dev.txt (line 34))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-mock==3.12.0 (from -r requirements-dev.txt (line 35))\n Downloading pytest_mock-3.12.0-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-network==0.0.1 (from -r requirements-dev.txt (line 36))\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pytest==7.4.3 (from -r requirements-dev.txt (line 37))\n Downloading pytest-7.4.3-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 38))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 39))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 40))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 54.5/54.5 kB 14.1 MB/s eta 0:00:00\nCollecting requests==2.31.0 (from -r requirements-dev.txt (line 41))\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting rfc3986==2.0.0 (from -r requirements-dev.txt (line 42))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich==13.7.0 (from -r requirements-dev.txt (line 43))\n Downloading rich-13.7.0-py3-none-any.whl.metadata (18 kB)\nCollecting tomli==2.0.1 (from -r requirements-dev.txt (line 44))\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting twine==4.0.2 (from -r requirements-dev.txt (line 45))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting typing_extensions==4.8.0 (from -r requirements-dev.txt (line 46))\n Downloading typing_extensions-4.8.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting urllib3==2.1.0 (from -r requirements-dev.txt (line 47))\n Downloading urllib3-2.1.0-py3-none-any.whl.metadata (6.4 kB)\nCollecting zipp==3.17.0 (from -r requirements-dev.txt (line 48))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting importlib-resources (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading importlib_resources-6.1.1-py3-none-any.whl.metadata (4.1 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.4/48.4 kB 13.3 MB/s eta 0:00:00\nCollecting wheel>=0.30.0 (from pycountry-convert==0.7.2->-r requirements-dev.txt (line 29))\n Using cached wheel-0.42.0-py3-none-any.whl.metadata (2.2 kB)\nRequirement already satisfied: setuptools in ./env/lib/python3.8/site-packages (from pycountry==22.3.5->-r requirements-dev.txt (line 30)) (56.0.0)\nRequirement already satisfied: idna<4,>=2.5 in ./env/lib/python3.8/site-packages (from requests==2.31.0->-r requirements-dev.txt (line 41)) (3.4)\nCollecting cryptography>=2.0 (from SecretStorage>=3.2->keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading cryptography-41.0.7-cp37-abi3-manylinux_2_28_x86_64.whl.metadata (5.2 kB)\nDownloading pygments-2.17.2-py3-none-any.whl (1.2 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 100.1 MB/s eta 0:00:00\nDownloading black-23.11.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 103.6 MB/s eta 0:00:00\nDownloading build-1.0.3-py3-none-any.whl (18 kB)\nDownloading certifi-2023.11.17-py3-none-any.whl (162 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 162.5/162.5 kB 44.6 MB/s eta 0:00:00\nDownloading cffi-1.16.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (444 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 444.7/444.7 kB 77.3 MB/s eta 0:00:00\nDownloading charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (141 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 141.1/141.1 kB 33.0 MB/s eta 0:00:00\nDownloading click-8.1.7-py3-none-any.whl (97 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 97.9/97.9 kB 28.4 MB/s eta 0:00:00\nDownloading coverage-7.3.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (228 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 228.6/228.6 kB 39.2 MB/s eta 0:00:00\nDownloading docutils-0.20.1-py3-none-any.whl (572 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 572.7/572.7 kB 83.8 MB/s eta 0:00:00\nDownloading exceptiongroup-1.2.0-py3-none-any.whl (16 kB)\nDownloading importlib_metadata-6.8.0-py3-none-any.whl (22 kB)\nDownloading jaraco.classes-3.3.0-py3-none-any.whl (5.9 kB)\nDownloading keyring-24.3.0-py3-none-any.whl (38 kB)\nDownloading markdown_it_py-3.0.0-py3-none-any.whl (87 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 87.5/87.5 kB 26.5 MB/s eta 0:00:00\nDownloading more_itertools-10.1.0-py3-none-any.whl (55 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 55.8/55.8 kB 18.2 MB/s eta 0:00:00\nDownloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 101.7 MB/s eta 0:00:00\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 53.0/53.0 kB 18.2 MB/s eta 0:00:00\nDownloading pathspec-0.11.2-py3-none-any.whl (29 kB)\nDownloading platformdirs-4.0.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyflakes-3.1.0-py2.py3-none-any.whl (62 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 kB 19.7 MB/s eta 0:00:00\nDownloading pytest_cov-4.1.0-py3-none-any.whl (21 kB)\nDownloading pytest_mock-3.12.0-py3-none-any.whl (9.8 kB)\nDownloading pytest-7.4.3-py3-none-any.whl (325 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 325.1/325.1 kB 66.8 MB/s eta 0:00:00\nDownloading readme_renderer-42.0-py3-none-any.whl (13 kB)\nDownloading requests-2.31.0-py3-none-any.whl (62 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 kB 19.8 MB/s eta 0:00:00\nDownloading rich-13.7.0-py3-none-any.whl (240 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 240.6/240.6 kB 57.4 MB/s eta 0:00:00\nDownloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\nDownloading urllib3-2.1.0-py3-none-any.whl (104 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 104.6/104.6 kB 32.9 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nUsing cached wheel-0.42.0-py3-none-any.whl (65 kB)\nDownloading importlib_resources-6.1.1-py3-none-any.whl (33 kB)\nDownloading cryptography-41.0.7-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.4/4.4 MB 115.5 MB/s eta 0:00:00\nBuilding wheels for collected packages: pycountry, pytest-network\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=d1efa3fdc10b7cb0b7b8b8f1012481528009e4490b3faaa06ee38e1b9ea57670\n Stored in directory: /home/runner/.cache/pip/wheels/e2/aa/0f/c224e473b464387170b83ca7c66947b4a7e33e8d903a679748\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2960 sha256=24da58c82e13f91081bb40b702b062338869cd9ee767af1c246e8821c08234c1\n Stored in directory: /home/runner/.cache/pip/wheels/d0/cd/95/bbd94d9b57657ea602b3a99e8f975fc12d458c3d534a65a542\nSuccessfully built pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, typing_extensions, tomli, rfc3986, Pygments, pyflakes, pycparser, pycountry, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, exceptiongroup, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, pyproject_hooks, markdown-it-py, jaraco.classes, importlib-resources, importlib-metadata, cffi, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, build, SecretStorage, pycountry-convert, keyring, twine\nSuccessfully installed Pygments-2.17.2 SecretStorage-3.3.3 black-23.11.0 build-1.0.3 certifi-2023.11.17 cffi-1.16.0 charset-normalizer-3.3.2 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.7 docutils-0.20.1 exceptiongroup-1.2.0 importlib-metadata-6.8.0 importlib-resources-6.1.1 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.3.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-4.0.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.3 pytest-cov-4.1.0 pytest-mock-3.12.0 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 tomli-2.0.1 twine-4.0.2 typing_extensions-4.8.0 urllib3-2.1.0 wheel-0.42.0 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.8.18\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.8/site-packages/pip (python 3.8)\n## modules: \nblack==23.11.0\nbuild==1.0.3\ncertifi==2023.11.17\ncffi==1.16.0\ncharset-normalizer==3.3.2\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.7\ndnspython==2.4.2\ndocutils==0.20.1\nexceptiongroup==1.2.0\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\nimportlib-resources==6.1.1\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.3.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==4.0.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.17.2\npyproject_hooks==1.0.0\npytest==7.4.3\npytest-cov==4.1.0\npytest-mock==3.12.0\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.7.0\nSecretStorage==3.3.3\nsix==1.16.0\ntomli==2.0.1\ntwine==4.0.2\ntyping_extensions==4.8.0\nurllib3==2.1.0\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\n## formatting ##################################################################\nAll done! ✨ 🍰 ✨\n110 files would be left unchanged.\n## tests/coverage ##############################################################\n============================= test session starts ==============================\nplatform linux -- Python 3.8.18, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/octodns/octodns\nconfigfile: pyproject.toml\nplugins: cov-4.1.0, mock-3.12.0, network-0.0.1\ncollected 294 items\n\ntests/test_octodns_equality.py .. [ 0%]\ntests/test_octodns_idna.py ......... [ 3%]\ntests/test_octodns_manager.py ...........................F.............. [ 18%]\n [ 18%]\ntests/test_octodns_plan.py .......... [ 21%]\ntests/test_octodns_processor_acme.py . [ 21%]\ntests/test_octodns_processor_arpa.py ......... [ 24%]\ntests/test_octodns_processor_filter.py ................ [ 30%]\ntests/test_octodns_processor_meta.py ...... [ 32%]\ntests/test_octodns_processor_ownership.py ... [ 33%]\ntests/test_octodns_processor_restrict.py . [ 33%]\ntests/test_octodns_processor_spf.py ....... [ 36%]\ntests/test_octodns_provider_base.py ................................ [ 46%]\ntests/test_octodns_provider_yaml.py ................... [ 53%]\ntests/test_octodns_record.py ......................... [ 61%]\ntests/test_octodns_record_a.py .. [ 62%]\ntests/test_octodns_record_aaaa.py ... [ 63%]\ntests/test_octodns_record_alias.py ... [ 64%]\ntests/test_octodns_record_caa.py .... [ 65%]\ntests/test_octodns_record_change.py .. [ 66%]\ntests/test_octodns_record_chunked.py . [ 67%]\ntests/test_octodns_record_cname.py ... [ 68%]\ntests/test_octodns_record_dname.py ... [ 69%]\ntests/test_octodns_record_ds.py . [ 69%]\ntests/test_octodns_record_dynamic.py ................ [ 74%]\ntests/test_octodns_record_geo.py ....... [ 77%]\ntests/test_octodns_record_ip.py . [ 77%]\ntests/test_octodns_record_loc.py .... [ 78%]\ntests/test_octodns_record_mx.py .... [ 80%]\ntests/test_octodns_record_naptr.py ... [ 81%]\ntests/test_octodns_record_ns.py ... [ 82%]\ntests/test_octodns_record_ptr.py ... [ 83%]\ntests/test_octodns_record_spf.py .. [ 84%]\ntests/test_octodns_record_srv.py .... [ 85%]\ntests/test_octodns_record_sshfp.py .... [ 86%]\ntests/test_octodns_record_target.py . [ 87%]\ntests/test_octodns_record_tlsa.py ... [ 88%]\ntests/test_octodns_record_txt.py .... [ 89%]\ntests/test_octodns_record_urlfwd.py .. [ 90%]\ntests/test_octodns_source_envvar.py .. [ 90%]\ntests/test_octodns_source_tinydns.py ..... [ 92%]\ntests/test_octodns_yaml.py .. [ 93%]\ntests/test_octodns_zone.py .................... [100%]\n\n=================================== FAILURES ===================================\n________________________ TestManager.test_missing_zone _________________________\n\nself = <test_octodns_manager.TestManager testMethod=test_missing_zone>\n\n def test_missing_zone(self):\n with self.assertRaises(ManagerException) as ctx:\n Manager(get_config_filename('dynamic-config.yaml')).sync(\n ['missing.zones.']\n )\n> self.assertTrue('Requested zone:' in str(ctx.exception))\nE AssertionError: False is not true\n\ntests/test_octodns_manager.py:87: AssertionError\n\n---------- coverage: platform linux, python 3.8.18-final-0 -----------\nName Stmts Miss Branch BrPart Cover\n------------------------------------------------------------------\noctodns/__init__.py 1 0 0 0 100%\noctodns/context.py 4 0 0 0 100%\noctodns/deprecation.py 3 0 0 0 100%\noctodns/equality.py 15 0 0 0 100%\noctodns/idna.py 53 0 13 0 100%\noctodns/manager.py 509 0 212 0 100%\noctodns/processor/__init__.py 0 0 0 0 100%\noctodns/processor/acme.py 22 0 8 0 100%\noctodns/processor/arpa.py 40 0 20 0 100%\noctodns/processor/base.py 13 0 0 0 100%\noctodns/processor/filter.py 134 0 46 0 100%\noctodns/processor/meta.py 48 0 12 0 100%\noctodns/processor/ownership.py 45 0 20 0 100%\noctodns/processor/restrict.py 21 0 10 0 100%\noctodns/processor/spf.py 59 0 26 0 100%\noctodns/provider/__init__.py 4 0 0 0 100%\noctodns/provider/base.py 147 0 72 0 100%\noctodns/provider/plan.py 203 0 65 0 100%\noctodns/provider/yaml.py 177 0 76 0 100%\noctodns/record/__init__.py 73 0 0 0 100%\noctodns/record/a.py 13 0 0 0 100%\noctodns/record/aaaa.py 13 0 0 0 100%\noctodns/record/alias.py 15 0 2 0 100%\noctodns/record/base.py 268 0 72 0 100%\noctodns/record/caa.py 71 0 12 0 100%\noctodns/record/change.py 28 0 0 0 100%\noctodns/record/chunked.py 49 0 16 0 100%\noctodns/record/cname.py 16 0 2 0 100%\noctodns/record/dname.py 9 0 0 0 100%\noctodns/record/ds.py 121 0 26 0 100%\noctodns/record/dynamic.py 270 0 118 0 100%\noctodns/record/exception.py 17 0 2 0 100%\noctodns/record/geo.py 117 0 36 0 100%\noctodns/record/geo_data.py 1 0 0 0 100%\noctodns/record/ip.py 33 0 14 0 100%\noctodns/record/loc.py 184 0 24 0 100%\noctodns/record/mx.py 88 0 14 0 100%\noctodns/record/naptr.py 109 0 16 0 100%\noctodns/record/ns.py 8 0 0 0 100%\noctodns/record/ptr.py 11 0 0 0 100%\noctodns/record/rr.py 12 0 0 0 100%\noctodns/record/spf.py 10 0 0 0 100%\noctodns/record/srv.py 117 0 20 0 100%\noctodns/record/sshfp.py 86 0 16 0 100%\noctodns/record/subnet.py 13 0 0 0 100%\noctodns/record/target.py 57 0 22 0 100%\noctodns/record/tlsa.py 97 0 20 0 100%\noctodns/record/txt.py 8 0 0 0 100%\noctodns/record/urlfwd.py 85 0 22 0 100%\noctodns/source/__init__.py 0 0 0 0 100%\noctodns/source/base.py 22 0 6 0 100%\noctodns/source/envvar.py 36 0 2 0 100%\noctodns/source/tinydns.py 239 0 128 0 100%\noctodns/yaml.py 48 0 8 0 100%\noctodns/zone.py 168 0 93 0 100%\n------------------------------------------------------------------\nTOTAL 4010 0 1271 0 100%\nCoverage HTML written to dir htmlcov\nCoverage XML written to file coverage.xml\n\nRequired test coverage of 100% reached. Total coverage: 100.00%\n=========================== short test summary info ============================\nFAILED tests/test_octodns_manager.py::TestManager::test_missing_zone - AssertionError: False is not true\n======================== 1 failed, 293 passed in 6.76s =========================\n##[error]Process completed with exit code 1.\n" }, { "step_name": "ci (3.9)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.9/site-packages (23.0.1)\nCollecting pip>=10.0.1\n Downloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.1/2.1 MB 25.3 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.0.1\n Uninstalling pip-23.0.1:\n Successfully uninstalled pip-23.0.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (738 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.17.2 (from -r requirements-dev.txt (line 2))\n Downloading pygments-2.17.2-py3-none-any.whl.metadata (2.6 kB)\nCollecting black==23.11.0 (from -r requirements-dev.txt (line 3))\n Downloading black-23.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (66 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.9/66.9 kB 3.1 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.11.17 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.11.17-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.2 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (33 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 435.0/435.0 kB 6.5 MB/s eta 0:00:00\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting exceptiongroup==1.2.0 (from -r requirements-dev.txt (line 12))\n Downloading exceptiongroup-1.2.0-py3-none-any.whl.metadata (6.6 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 13))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 14))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 15))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 91.2/91.2 kB 7.8 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 16))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.3.0 (from -r requirements-dev.txt (line 17))\n Downloading keyring-24.3.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 18))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 19))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 20))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 21))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 22))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 23))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 24))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 25))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==4.0.0 (from -r requirements-dev.txt (line 26))\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 27))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 28))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 29))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 30))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.1/10.1 MB 20.6 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 31))\n Downloading pycparser-2.21-py2.py3-none-any.whl (118 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 118.7/118.7 kB 30.2 MB/s eta 0:00:00\nCollecting pyflakes==3.1.0 (from -r requirements-dev.txt (line 32))\n Downloading pyflakes-3.1.0-py2.py3-none-any.whl.metadata (3.5 kB)\nCollecting pyproject_hooks==1.0.0 (from -r requirements-dev.txt (line 33))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting pytest-cov==4.1.0 (from -r requirements-dev.txt (line 34))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-mock==3.12.0 (from -r requirements-dev.txt (line 35))\n Downloading pytest_mock-3.12.0-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-network==0.0.1 (from -r requirements-dev.txt (line 36))\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pytest==7.4.3 (from -r requirements-dev.txt (line 37))\n Downloading pytest-7.4.3-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 38))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 39))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 40))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 54.5/54.5 kB 18.4 MB/s eta 0:00:00\nCollecting requests==2.31.0 (from -r requirements-dev.txt (line 41))\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting rfc3986==2.0.0 (from -r requirements-dev.txt (line 42))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich==13.7.0 (from -r requirements-dev.txt (line 43))\n Downloading rich-13.7.0-py3-none-any.whl.metadata (18 kB)\nCollecting tomli==2.0.1 (from -r requirements-dev.txt (line 44))\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting twine==4.0.2 (from -r requirements-dev.txt (line 45))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting typing_extensions==4.8.0 (from -r requirements-dev.txt (line 46))\n Downloading typing_extensions-4.8.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting urllib3==2.1.0 (from -r requirements-dev.txt (line 47))\n Downloading urllib3-2.1.0-py3-none-any.whl.metadata (6.4 kB)\nCollecting zipp==3.17.0 (from -r requirements-dev.txt (line 48))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.4/48.4 kB 12.8 MB/s eta 0:00:00\nCollecting wheel>=0.30.0 (from pycountry-convert==0.7.2->-r requirements-dev.txt (line 29))\n Using cached wheel-0.42.0-py3-none-any.whl.metadata (2.2 kB)\nRequirement already satisfied: setuptools in ./env/lib/python3.9/site-packages (from pycountry==22.3.5->-r requirements-dev.txt (line 30)) (58.1.0)\nRequirement already satisfied: idna<4,>=2.5 in ./env/lib/python3.9/site-packages (from requests==2.31.0->-r requirements-dev.txt (line 41)) (3.4)\nCollecting cryptography>=2.0 (from SecretStorage>=3.2->keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading cryptography-41.0.7-cp37-abi3-manylinux_2_28_x86_64.whl.metadata (5.2 kB)\nDownloading pygments-2.17.2-py3-none-any.whl (1.2 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 43.2 MB/s eta 0:00:00\nDownloading black-23.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 30.4 MB/s eta 0:00:00\nDownloading build-1.0.3-py3-none-any.whl (18 kB)\nDownloading certifi-2023.11.17-py3-none-any.whl (162 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 162.5/162.5 kB 31.9 MB/s eta 0:00:00\nDownloading cffi-1.16.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (443 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 443.4/443.4 kB 28.8 MB/s eta 0:00:00\nDownloading charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (142 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 142.3/142.3 kB 35.7 MB/s eta 0:00:00\nDownloading click-8.1.7-py3-none-any.whl (97 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 97.9/97.9 kB 27.5 MB/s eta 0:00:00\nDownloading coverage-7.3.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (227 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 227.1/227.1 kB 41.7 MB/s eta 0:00:00\nDownloading docutils-0.20.1-py3-none-any.whl (572 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 572.7/572.7 kB 31.3 MB/s eta 0:00:00\nDownloading exceptiongroup-1.2.0-py3-none-any.whl (16 kB)\nDownloading importlib_metadata-6.8.0-py3-none-any.whl (22 kB)\nDownloading jaraco.classes-3.3.0-py3-none-any.whl (5.9 kB)\nDownloading keyring-24.3.0-py3-none-any.whl (38 kB)\nDownloading markdown_it_py-3.0.0-py3-none-any.whl (87 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 87.5/87.5 kB 25.9 MB/s eta 0:00:00\nDownloading more_itertools-10.1.0-py3-none-any.whl (55 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 55.8/55.8 kB 16.3 MB/s eta 0:00:00\nDownloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 30.1 MB/s eta 0:00:00\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 53.0/53.0 kB 16.4 MB/s eta 0:00:00\nDownloading pathspec-0.11.2-py3-none-any.whl (29 kB)\nDownloading platformdirs-4.0.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyflakes-3.1.0-py2.py3-none-any.whl (62 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 kB 19.4 MB/s eta 0:00:00\nDownloading pytest_cov-4.1.0-py3-none-any.whl (21 kB)\nDownloading pytest_mock-3.12.0-py3-none-any.whl (9.8 kB)\nDownloading pytest-7.4.3-py3-none-any.whl (325 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 325.1/325.1 kB 32.2 MB/s eta 0:00:00\nDownloading readme_renderer-42.0-py3-none-any.whl (13 kB)\nDownloading requests-2.31.0-py3-none-any.whl (62 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 kB 19.5 MB/s eta 0:00:00\nDownloading rich-13.7.0-py3-none-any.whl (240 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 240.6/240.6 kB 35.7 MB/s eta 0:00:00\nDownloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\nDownloading urllib3-2.1.0-py3-none-any.whl (104 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 104.6/104.6 kB 31.7 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nUsing cached wheel-0.42.0-py3-none-any.whl (65 kB)\nDownloading cryptography-41.0.7-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.4/4.4 MB 32.4 MB/s eta 0:00:00\nBuilding wheels for collected packages: pycountry, pytest-network\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=6651b7cbbeb5454f6442094790535901bb003fe81e132ba2dff3caf1a884cb1e\n Stored in directory: /home/runner/.cache/pip/wheels/47/15/92/e6dc85fcb0686c82e1edbcfdf80cfe4808c058813fed0baa8f\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2960 sha256=a88e064065e65cf19fcfb8c1f73c85d7d00b561fcdda670621edf8c88deeee8a\n Stored in directory: /home/runner/.cache/pip/wheels/8c/ef/32/14205df1989a5ce6ef61eff98537d4236a3c6f50c2b1a6d89a\nSuccessfully built pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, typing_extensions, tomli, rfc3986, Pygments, pyflakes, pycparser, pycountry, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, exceptiongroup, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, pyproject_hooks, markdown-it-py, jaraco.classes, importlib-metadata, cffi, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, build, SecretStorage, pycountry-convert, keyring, twine\nSuccessfully installed Pygments-2.17.2 SecretStorage-3.3.3 black-23.11.0 build-1.0.3 certifi-2023.11.17 cffi-1.16.0 charset-normalizer-3.3.2 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.7 docutils-0.20.1 exceptiongroup-1.2.0 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.3.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-4.0.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.3 pytest-cov-4.1.0 pytest-mock-3.12.0 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 tomli-2.0.1 twine-4.0.2 typing_extensions-4.8.0 urllib3-2.1.0 wheel-0.42.0 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.9.18\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.9/site-packages/pip (python 3.9)\n## modules: \nblack==23.11.0\nbuild==1.0.3\ncertifi==2023.11.17\ncffi==1.16.0\ncharset-normalizer==3.3.2\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.7\ndnspython==2.4.2\ndocutils==0.20.1\nexceptiongroup==1.2.0\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.3.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==4.0.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.17.2\npyproject_hooks==1.0.0\npytest==7.4.3\npytest-cov==4.1.0\npytest-mock==3.12.0\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.7.0\nSecretStorage==3.3.3\nsix==1.16.0\ntomli==2.0.1\ntwine==4.0.2\ntyping_extensions==4.8.0\nurllib3==2.1.0\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\n## formatting ##################################################################\nAll done! ✨ 🍰 ✨\n110 files would be left unchanged.\n## tests/coverage ##############################################################\n============================= test session starts ==============================\nplatform linux -- Python 3.9.18, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/octodns/octodns\nconfigfile: pyproject.toml\nplugins: cov-4.1.0, mock-3.12.0, network-0.0.1\ncollected 294 items\n\ntests/test_octodns_equality.py .. [ 0%]\ntests/test_octodns_idna.py ......... [ 3%]\ntests/test_octodns_manager.py ...........................F.............. [ 18%]\n [ 18%]\ntests/test_octodns_plan.py .......... [ 21%]\ntests/test_octodns_processor_acme.py . [ 21%]\ntests/test_octodns_processor_arpa.py ......... [ 24%]\ntests/test_octodns_processor_filter.py ................ [ 30%]\ntests/test_octodns_processor_meta.py ...... [ 32%]\ntests/test_octodns_processor_ownership.py ... [ 33%]\ntests/test_octodns_processor_restrict.py . [ 33%]\ntests/test_octodns_processor_spf.py ....... [ 36%]\ntests/test_octodns_provider_base.py ................................ [ 46%]\ntests/test_octodns_provider_yaml.py ................... [ 53%]\ntests/test_octodns_record.py ......................... [ 61%]\ntests/test_octodns_record_a.py .. [ 62%]\ntests/test_octodns_record_aaaa.py ... [ 63%]\ntests/test_octodns_record_alias.py ... [ 64%]\ntests/test_octodns_record_caa.py .... [ 65%]\ntests/test_octodns_record_change.py .. [ 66%]\ntests/test_octodns_record_chunked.py . [ 67%]\ntests/test_octodns_record_cname.py ... [ 68%]\ntests/test_octodns_record_dname.py ... [ 69%]\ntests/test_octodns_record_ds.py . [ 69%]\ntests/test_octodns_record_dynamic.py ................ [ 74%]\ntests/test_octodns_record_geo.py ....... [ 77%]\ntests/test_octodns_record_ip.py . [ 77%]\ntests/test_octodns_record_loc.py .... [ 78%]\ntests/test_octodns_record_mx.py .... [ 80%]\ntests/test_octodns_record_naptr.py ... [ 81%]\ntests/test_octodns_record_ns.py ... [ 82%]\ntests/test_octodns_record_ptr.py ... [ 83%]\ntests/test_octodns_record_spf.py .. [ 84%]\ntests/test_octodns_record_srv.py .... [ 85%]\ntests/test_octodns_record_sshfp.py .... [ 86%]\ntests/test_octodns_record_target.py . [ 87%]\ntests/test_octodns_record_tlsa.py ... [ 88%]\ntests/test_octodns_record_txt.py .... [ 89%]\ntests/test_octodns_record_urlfwd.py .. [ 90%]\ntests/test_octodns_source_envvar.py .. [ 90%]\ntests/test_octodns_source_tinydns.py ..... [ 92%]\ntests/test_octodns_yaml.py .. [ 93%]\ntests/test_octodns_zone.py .................... [100%]\n\n=================================== FAILURES ===================================\n________________________ TestManager.test_missing_zone _________________________\n\nself = <test_octodns_manager.TestManager testMethod=test_missing_zone>\n\n def test_missing_zone(self):\n with self.assertRaises(ManagerException) as ctx:\n Manager(get_config_filename('dynamic-config.yaml')).sync(\n ['missing.zones.']\n )\n> self.assertTrue('Requested zone:' in str(ctx.exception))\nE AssertionError: False is not true\n\ntests/test_octodns_manager.py:87: AssertionError\n\n---------- coverage: platform linux, python 3.9.18-final-0 -----------\nName Stmts Miss Branch BrPart Cover\n------------------------------------------------------------------\noctodns/__init__.py 1 0 0 0 100%\noctodns/context.py 4 0 0 0 100%\noctodns/deprecation.py 3 0 0 0 100%\noctodns/equality.py 15 0 0 0 100%\noctodns/idna.py 53 0 13 0 100%\noctodns/manager.py 509 0 212 0 100%\noctodns/processor/__init__.py 0 0 0 0 100%\noctodns/processor/acme.py 22 0 8 0 100%\noctodns/processor/arpa.py 40 0 20 0 100%\noctodns/processor/base.py 13 0 0 0 100%\noctodns/processor/filter.py 134 0 46 0 100%\noctodns/processor/meta.py 48 0 12 0 100%\noctodns/processor/ownership.py 45 0 20 0 100%\noctodns/processor/restrict.py 21 0 10 0 100%\noctodns/processor/spf.py 59 0 26 0 100%\noctodns/provider/__init__.py 4 0 0 0 100%\noctodns/provider/base.py 147 0 72 0 100%\noctodns/provider/plan.py 203 0 65 0 100%\noctodns/provider/yaml.py 177 0 76 0 100%\noctodns/record/__init__.py 73 0 0 0 100%\noctodns/record/a.py 13 0 0 0 100%\noctodns/record/aaaa.py 13 0 0 0 100%\noctodns/record/alias.py 15 0 2 0 100%\noctodns/record/base.py 268 0 72 0 100%\noctodns/record/caa.py 71 0 12 0 100%\noctodns/record/change.py 28 0 0 0 100%\noctodns/record/chunked.py 49 0 16 0 100%\noctodns/record/cname.py 16 0 2 0 100%\noctodns/record/dname.py 9 0 0 0 100%\noctodns/record/ds.py 121 0 26 0 100%\noctodns/record/dynamic.py 270 0 118 0 100%\noctodns/record/exception.py 17 0 2 0 100%\noctodns/record/geo.py 117 0 36 0 100%\noctodns/record/geo_data.py 1 0 0 0 100%\noctodns/record/ip.py 33 0 14 0 100%\noctodns/record/loc.py 184 0 24 0 100%\noctodns/record/mx.py 88 0 14 0 100%\noctodns/record/naptr.py 109 0 16 0 100%\noctodns/record/ns.py 8 0 0 0 100%\noctodns/record/ptr.py 11 0 0 0 100%\noctodns/record/rr.py 12 0 0 0 100%\noctodns/record/spf.py 10 0 0 0 100%\noctodns/record/srv.py 117 0 20 0 100%\noctodns/record/sshfp.py 86 0 16 0 100%\noctodns/record/subnet.py 13 0 0 0 100%\noctodns/record/target.py 57 0 22 0 100%\noctodns/record/tlsa.py 97 0 20 0 100%\noctodns/record/txt.py 8 0 0 0 100%\noctodns/record/urlfwd.py 85 0 22 0 100%\noctodns/source/__init__.py 0 0 0 0 100%\noctodns/source/base.py 22 0 6 0 100%\noctodns/source/envvar.py 36 0 2 0 100%\noctodns/source/tinydns.py 239 0 128 0 100%\noctodns/yaml.py 48 0 8 0 100%\noctodns/zone.py 168 0 93 0 100%\n------------------------------------------------------------------\nTOTAL 4010 0 1271 0 100%\nCoverage HTML written to dir htmlcov\nCoverage XML written to file coverage.xml\n\nRequired test coverage of 100% reached. Total coverage: 100.00%\n=========================== short test summary info ============================\nFAILED tests/test_octodns_manager.py::TestManager::test_missing_zone - AssertionError: False is not true\n======================== 1 failed, 293 passed in 6.55s =========================\n##[error]Process completed with exit code 1.\n" }, { "step_name": "ci (3.10)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.10/site-packages (23.0.1)\nCollecting pip>=10.0.1\n Downloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.1/2.1 MB 35.5 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.0.1\n Uninstalling pip-23.0.1:\n Successfully uninstalled pip-23.0.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (705 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.17.2 (from -r requirements-dev.txt (line 2))\n Downloading pygments-2.17.2-py3-none-any.whl.metadata (2.6 kB)\nCollecting black==23.11.0 (from -r requirements-dev.txt (line 3))\n Downloading black-23.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (66 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.9/66.9 kB 5.3 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.11.17 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.11.17-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.2 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (33 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 435.0/435.0 kB 38.6 MB/s eta 0:00:00\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting exceptiongroup==1.2.0 (from -r requirements-dev.txt (line 12))\n Downloading exceptiongroup-1.2.0-py3-none-any.whl.metadata (6.6 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 13))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 14))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 15))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 91.2/91.2 kB 30.1 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 16))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.3.0 (from -r requirements-dev.txt (line 17))\n Downloading keyring-24.3.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 18))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 19))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 20))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 21))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 22))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 23))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 24))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 25))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==4.0.0 (from -r requirements-dev.txt (line 26))\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 27))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 28))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 29))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 30))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.1/10.1 MB 123.2 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 31))\n Downloading pycparser-2.21-py2.py3-none-any.whl (118 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 118.7/118.7 kB 36.5 MB/s eta 0:00:00\nCollecting pyflakes==3.1.0 (from -r requirements-dev.txt (line 32))\n Downloading pyflakes-3.1.0-py2.py3-none-any.whl.metadata (3.5 kB)\nCollecting pyproject_hooks==1.0.0 (from -r requirements-dev.txt (line 33))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting pytest-cov==4.1.0 (from -r requirements-dev.txt (line 34))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-mock==3.12.0 (from -r requirements-dev.txt (line 35))\n Downloading pytest_mock-3.12.0-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-network==0.0.1 (from -r requirements-dev.txt (line 36))\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pytest==7.4.3 (from -r requirements-dev.txt (line 37))\n Downloading pytest-7.4.3-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 38))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 39))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 40))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 54.5/54.5 kB 18.3 MB/s eta 0:00:00\nCollecting requests==2.31.0 (from -r requirements-dev.txt (line 41))\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting rfc3986==2.0.0 (from -r requirements-dev.txt (line 42))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich==13.7.0 (from -r requirements-dev.txt (line 43))\n Downloading rich-13.7.0-py3-none-any.whl.metadata (18 kB)\nCollecting tomli==2.0.1 (from -r requirements-dev.txt (line 44))\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting twine==4.0.2 (from -r requirements-dev.txt (line 45))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting typing_extensions==4.8.0 (from -r requirements-dev.txt (line 46))\n Downloading typing_extensions-4.8.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting urllib3==2.1.0 (from -r requirements-dev.txt (line 47))\n Downloading urllib3-2.1.0-py3-none-any.whl.metadata (6.4 kB)\nCollecting zipp==3.17.0 (from -r requirements-dev.txt (line 48))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.4/48.4 kB 18.2 MB/s eta 0:00:00\nCollecting wheel>=0.30.0 (from pycountry-convert==0.7.2->-r requirements-dev.txt (line 29))\n Using cached 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pytest_cov-4.1.0-py3-none-any.whl (21 kB)\nDownloading pytest_mock-3.12.0-py3-none-any.whl (9.8 kB)\nDownloading pytest-7.4.3-py3-none-any.whl (325 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 325.1/325.1 kB 71.2 MB/s eta 0:00:00\nDownloading readme_renderer-42.0-py3-none-any.whl (13 kB)\nDownloading requests-2.31.0-py3-none-any.whl (62 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 kB 22.9 MB/s eta 0:00:00\nDownloading rich-13.7.0-py3-none-any.whl (240 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 240.6/240.6 kB 62.6 MB/s eta 0:00:00\nDownloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\nDownloading urllib3-2.1.0-py3-none-any.whl (104 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 104.6/104.6 kB 36.9 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nUsing cached wheel-0.42.0-py3-none-any.whl (65 kB)\nDownloading cryptography-41.0.7-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.4/4.4 MB 104.8 MB/s eta 0:00:00\nBuilding wheels for collected packages: pycountry, pytest-network\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=029c7ef12dee2f2023f60603db05ff6b2bd8529a5c34b9c6770cb19cf55f80b2\n Stored in directory: /home/runner/.cache/pip/wheels/03/57/cc/290c5252ec97a6d78d36479a3c5e5ecc76318afcb241ad9dbe\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2960 sha256=5a5b0df8be5c7b49622d5be725889669c70d8f30e027a13b3cd5ad7791b7b972\n Stored in directory: /home/runner/.cache/pip/wheels/d4/4d/d7/84f36e5490a746c74c91552708a74a4922d23092dd24d4e750\nSuccessfully built pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, typing_extensions, tomli, rfc3986, Pygments, pyflakes, pycparser, pycountry, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, exceptiongroup, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, pyproject_hooks, markdown-it-py, jaraco.classes, importlib-metadata, cffi, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, build, SecretStorage, pycountry-convert, keyring, twine\nSuccessfully installed Pygments-2.17.2 SecretStorage-3.3.3 black-23.11.0 build-1.0.3 certifi-2023.11.17 cffi-1.16.0 charset-normalizer-3.3.2 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.7 docutils-0.20.1 exceptiongroup-1.2.0 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.3.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-4.0.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.3 pytest-cov-4.1.0 pytest-mock-3.12.0 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 tomli-2.0.1 twine-4.0.2 typing_extensions-4.8.0 urllib3-2.1.0 wheel-0.42.0 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.10.13\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.10/site-packages/pip (python 3.10)\n## modules: \nblack==23.11.0\nbuild==1.0.3\ncertifi==2023.11.17\ncffi==1.16.0\ncharset-normalizer==3.3.2\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.7\ndnspython==2.4.2\ndocutils==0.20.1\nexceptiongroup==1.2.0\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.3.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==4.0.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.17.2\npyproject_hooks==1.0.0\npytest==7.4.3\npytest-cov==4.1.0\npytest-mock==3.12.0\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.7.0\nSecretStorage==3.3.3\nsix==1.16.0\ntomli==2.0.1\ntwine==4.0.2\ntyping_extensions==4.8.0\nurllib3==2.1.0\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\n## formatting ##################################################################\nAll done! ✨ 🍰 ✨\n110 files would be left unchanged.\n## tests/coverage ##############################################################\n============================= test session starts ==============================\nplatform linux -- Python 3.10.13, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/octodns/octodns\nconfigfile: pyproject.toml\nplugins: mock-3.12.0, network-0.0.1, cov-4.1.0\ncollected 294 items\n\ntests/test_octodns_equality.py .. [ 0%]\ntests/test_octodns_idna.py ......... [ 3%]\ntests/test_octodns_manager.py ...........................F.............. [ 18%]\n [ 18%]\ntests/test_octodns_plan.py .......... [ 21%]\ntests/test_octodns_processor_acme.py . [ 21%]\ntests/test_octodns_processor_arpa.py ......... [ 24%]\ntests/test_octodns_processor_filter.py ................ [ 30%]\ntests/test_octodns_processor_meta.py ...... [ 32%]\ntests/test_octodns_processor_ownership.py ... [ 33%]\ntests/test_octodns_processor_restrict.py . [ 33%]\ntests/test_octodns_processor_spf.py ....... [ 36%]\ntests/test_octodns_provider_base.py ................................ [ 46%]\ntests/test_octodns_provider_yaml.py ................... [ 53%]\ntests/test_octodns_record.py ......................... [ 61%]\ntests/test_octodns_record_a.py .. [ 62%]\ntests/test_octodns_record_aaaa.py ... [ 63%]\ntests/test_octodns_record_alias.py ... [ 64%]\ntests/test_octodns_record_caa.py .... [ 65%]\ntests/test_octodns_record_change.py .. [ 66%]\ntests/test_octodns_record_chunked.py . [ 67%]\ntests/test_octodns_record_cname.py ... [ 68%]\ntests/test_octodns_record_dname.py ... [ 69%]\ntests/test_octodns_record_ds.py . [ 69%]\ntests/test_octodns_record_dynamic.py ................ [ 74%]\ntests/test_octodns_record_geo.py ....... [ 77%]\ntests/test_octodns_record_ip.py . [ 77%]\ntests/test_octodns_record_loc.py .... [ 78%]\ntests/test_octodns_record_mx.py .... [ 80%]\ntests/test_octodns_record_naptr.py ... [ 81%]\ntests/test_octodns_record_ns.py ... [ 82%]\ntests/test_octodns_record_ptr.py ... [ 83%]\ntests/test_octodns_record_spf.py .. [ 84%]\ntests/test_octodns_record_srv.py .... [ 85%]\ntests/test_octodns_record_sshfp.py .... [ 86%]\ntests/test_octodns_record_target.py . [ 87%]\ntests/test_octodns_record_tlsa.py ... [ 88%]\ntests/test_octodns_record_txt.py .... [ 89%]\ntests/test_octodns_record_urlfwd.py .. [ 90%]\ntests/test_octodns_source_envvar.py .. [ 90%]\ntests/test_octodns_source_tinydns.py ..... [ 92%]\ntests/test_octodns_yaml.py .. [ 93%]\ntests/test_octodns_zone.py .................... [100%]\n\n=================================== FAILURES ===================================\n________________________ TestManager.test_missing_zone _________________________\n\nself = <test_octodns_manager.TestManager testMethod=test_missing_zone>\n\n def test_missing_zone(self):\n with self.assertRaises(ManagerException) as ctx:\n Manager(get_config_filename('dynamic-config.yaml')).sync(\n ['missing.zones.']\n )\n> self.assertTrue('Requested zone:' in str(ctx.exception))\nE AssertionError: False is not true\n\ntests/test_octodns_manager.py:87: AssertionError\n\n---------- coverage: platform linux, python 3.10.13-final-0 ----------\nName Stmts Miss Branch BrPart Cover\n------------------------------------------------------------------\noctodns/__init__.py 1 0 0 0 100%\noctodns/context.py 4 0 0 0 100%\noctodns/deprecation.py 3 0 0 0 100%\noctodns/equality.py 15 0 0 0 100%\noctodns/idna.py 53 0 13 0 100%\noctodns/manager.py 509 0 214 0 100%\noctodns/processor/__init__.py 0 0 0 0 100%\noctodns/processor/acme.py 22 0 8 0 100%\noctodns/processor/arpa.py 40 0 20 0 100%\noctodns/processor/base.py 13 0 0 0 100%\noctodns/processor/filter.py 134 0 46 0 100%\noctodns/processor/meta.py 48 0 12 0 100%\noctodns/processor/ownership.py 45 0 20 0 100%\noctodns/processor/restrict.py 21 0 10 0 100%\noctodns/processor/spf.py 59 0 26 0 100%\noctodns/provider/__init__.py 4 0 0 0 100%\noctodns/provider/base.py 147 0 72 0 100%\noctodns/provider/plan.py 203 0 65 0 100%\noctodns/provider/yaml.py 177 0 84 0 100%\noctodns/record/__init__.py 73 0 0 0 100%\noctodns/record/a.py 13 0 0 0 100%\noctodns/record/aaaa.py 13 0 0 0 100%\noctodns/record/alias.py 15 0 2 0 100%\noctodns/record/base.py 268 0 72 0 100%\noctodns/record/caa.py 71 0 12 0 100%\noctodns/record/change.py 28 0 0 0 100%\noctodns/record/chunked.py 49 0 16 0 100%\noctodns/record/cname.py 16 0 2 0 100%\noctodns/record/dname.py 9 0 0 0 100%\noctodns/record/ds.py 121 0 26 0 100%\noctodns/record/dynamic.py 270 0 118 0 100%\noctodns/record/exception.py 17 0 2 0 100%\noctodns/record/geo.py 117 0 36 0 100%\noctodns/record/geo_data.py 1 0 0 0 100%\noctodns/record/ip.py 33 0 14 0 100%\noctodns/record/loc.py 184 0 24 0 100%\noctodns/record/mx.py 88 0 14 0 100%\noctodns/record/naptr.py 109 0 16 0 100%\noctodns/record/ns.py 8 0 0 0 100%\noctodns/record/ptr.py 11 0 0 0 100%\noctodns/record/rr.py 12 0 0 0 100%\noctodns/record/spf.py 10 0 0 0 100%\noctodns/record/srv.py 117 0 20 0 100%\noctodns/record/sshfp.py 86 0 16 0 100%\noctodns/record/subnet.py 13 0 0 0 100%\noctodns/record/target.py 57 0 22 0 100%\noctodns/record/tlsa.py 97 0 20 0 100%\noctodns/record/txt.py 8 0 0 0 100%\noctodns/record/urlfwd.py 85 0 22 0 100%\noctodns/source/__init__.py 0 0 0 0 100%\noctodns/source/base.py 22 0 6 0 100%\noctodns/source/envvar.py 36 0 2 0 100%\noctodns/source/tinydns.py 239 0 130 0 100%\noctodns/yaml.py 48 0 10 0 100%\noctodns/zone.py 168 0 93 0 100%\n------------------------------------------------------------------\nTOTAL 4010 0 1285 0 100%\nCoverage HTML written to dir htmlcov\nCoverage XML written to file coverage.xml\n\nRequired test coverage of 100% reached. Total coverage: 100.00%\n=========================== short test summary info ============================\nFAILED tests/test_octodns_manager.py::TestManager::test_missing_zone - AssertionError: False is not true\n======================== 1 failed, 293 passed in 6.01s =========================\n##[error]Process completed with exit code 1.\n" }, { "step_name": "ci (3.11)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.11/site-packages (23.2.1)\nCollecting pip>=10.0.1\n Obtaining dependency information for pip>=10.0.1 from https://files.pythonhosted.org/packages/47/6a/453160888fab7c6a432a6e25f8afe6256d0d9f2cbd25971021da6491d899/pip-23.3.1-py3-none-any.whl.metadata\n Downloading pip-23.3.1-py3-none-any.whl.metadata (3.5 kB)\nDownloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.1/2.1 MB 45.1 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.2.1\n Uninstalling pip-23.2.1:\n Successfully uninstalled pip-23.2.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (757 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.17.2 (from -r requirements-dev.txt (line 2))\n Downloading pygments-2.17.2-py3-none-any.whl.metadata (2.6 kB)\nCollecting black==23.11.0 (from -r requirements-dev.txt (line 3))\n Downloading black-23.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (66 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.9/66.9 kB 3.3 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.11.17 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.11.17-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.2 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (33 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 435.0/435.0 kB 52.3 MB/s eta 0:00:00\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting exceptiongroup==1.2.0 (from -r requirements-dev.txt (line 12))\n Downloading exceptiongroup-1.2.0-py3-none-any.whl.metadata (6.6 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 13))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 14))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 15))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 91.2/91.2 kB 29.5 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 16))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.3.0 (from -r requirements-dev.txt (line 17))\n Downloading keyring-24.3.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 18))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 19))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 20))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 21))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 22))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 23))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 24))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 25))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==4.0.0 (from -r requirements-dev.txt (line 26))\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 27))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 28))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 29))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 30))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.1/10.1 MB 117.6 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 31))\n Downloading pycparser-2.21-py2.py3-none-any.whl (118 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 118.7/118.7 kB 38.2 MB/s eta 0:00:00\nCollecting pyflakes==3.1.0 (from -r requirements-dev.txt (line 32))\n Downloading pyflakes-3.1.0-py2.py3-none-any.whl.metadata (3.5 kB)\nCollecting pyproject_hooks==1.0.0 (from -r requirements-dev.txt (line 33))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting pytest-cov==4.1.0 (from -r requirements-dev.txt (line 34))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-mock==3.12.0 (from -r requirements-dev.txt (line 35))\n Downloading pytest_mock-3.12.0-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-network==0.0.1 (from -r requirements-dev.txt (line 36))\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pytest==7.4.3 (from -r requirements-dev.txt (line 37))\n Downloading pytest-7.4.3-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 38))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 39))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 40))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 54.5/54.5 kB 20.7 MB/s eta 0:00:00\nCollecting requests==2.31.0 (from -r requirements-dev.txt (line 41))\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting rfc3986==2.0.0 (from -r requirements-dev.txt (line 42))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich==13.7.0 (from -r requirements-dev.txt (line 43))\n Downloading rich-13.7.0-py3-none-any.whl.metadata (18 kB)\nCollecting tomli==2.0.1 (from -r requirements-dev.txt (line 44))\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting twine==4.0.2 (from -r requirements-dev.txt (line 45))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting typing_extensions==4.8.0 (from -r requirements-dev.txt (line 46))\n Downloading typing_extensions-4.8.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting urllib3==2.1.0 (from -r requirements-dev.txt (line 47))\n Downloading urllib3-2.1.0-py3-none-any.whl.metadata (6.4 kB)\nCollecting zipp==3.17.0 (from -r requirements-dev.txt (line 48))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.4/48.4 kB 15.1 MB/s eta 0:00:00\nCollecting wheel>=0.30.0 (from pycountry-convert==0.7.2->-r requirements-dev.txt (line 29))\n Using cached wheel-0.42.0-py3-none-any.whl.metadata (2.2 kB)\nRequirement already satisfied: setuptools in ./env/lib/python3.11/site-packages (from pycountry==22.3.5->-r requirements-dev.txt (line 30)) (65.5.0)\nRequirement already satisfied: idna<4,>=2.5 in ./env/lib/python3.11/site-packages (from requests==2.31.0->-r requirements-dev.txt (line 41)) (3.4)\nCollecting cryptography>=2.0 (from SecretStorage>=3.2->keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading cryptography-41.0.7-cp37-abi3-manylinux_2_28_x86_64.whl.metadata (5.2 kB)\nDownloading pygments-2.17.2-py3-none-any.whl (1.2 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 102.1 MB/s eta 0:00:00\nDownloading black-23.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 107.8 MB/s eta 0:00:00\nDownloading build-1.0.3-py3-none-any.whl (18 kB)\nDownloading certifi-2023.11.17-py3-none-any.whl (162 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 162.5/162.5 kB 50.4 MB/s eta 0:00:00\nDownloading cffi-1.16.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (464 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 464.8/464.8 kB 79.6 MB/s eta 0:00:00\nDownloading charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (140 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 140.3/140.3 kB 45.9 MB/s eta 0:00:00\nDownloading click-8.1.7-py3-none-any.whl (97 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 97.9/97.9 kB 34.3 MB/s eta 0:00:00\nDownloading coverage-7.3.2-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (231 kB)\n 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18.6 MB/s eta 0:00:00\nDownloading pathspec-0.11.2-py3-none-any.whl (29 kB)\nDownloading platformdirs-4.0.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyflakes-3.1.0-py2.py3-none-any.whl (62 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 kB 22.0 MB/s eta 0:00:00\nDownloading pytest_cov-4.1.0-py3-none-any.whl (21 kB)\nDownloading pytest_mock-3.12.0-py3-none-any.whl (9.8 kB)\nDownloading pytest-7.4.3-py3-none-any.whl (325 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 325.1/325.1 kB 69.5 MB/s eta 0:00:00\nDownloading readme_renderer-42.0-py3-none-any.whl (13 kB)\nDownloading requests-2.31.0-py3-none-any.whl (62 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 kB 23.6 MB/s eta 0:00:00\nDownloading rich-13.7.0-py3-none-any.whl (240 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 240.6/240.6 kB 56.7 MB/s eta 0:00:00\nDownloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\nDownloading urllib3-2.1.0-py3-none-any.whl (104 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 104.6/104.6 kB 36.4 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nUsing cached wheel-0.42.0-py3-none-any.whl (65 kB)\nDownloading cryptography-41.0.7-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.4/4.4 MB 122.6 MB/s eta 0:00:00\nBuilding wheels for collected packages: pycountry, pytest-network\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=1f3a135bad4f2c47c4971b5f2047ef7f47088363de2713410a07b63b56ef76bc\n Stored in directory: /home/runner/.cache/pip/wheels/cd/29/8b/617685ed7942656b36efb06ff9247dbe832e3f4f7724fffc09\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2960 sha256=44cf2c353b920c5984e64d21fe75a9c219f4d219a8a908b71a8f7b84da2d8afb\n Stored in directory: /home/runner/.cache/pip/wheels/da/cb/c3/504bc4a9f8dadada066a674b01af36cd6144a159cab93c8c85\nSuccessfully built pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, typing_extensions, tomli, rfc3986, pyproject_hooks, Pygments, pyflakes, pycparser, pycountry, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, exceptiongroup, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, markdown-it-py, jaraco.classes, importlib-metadata, cffi, build, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, SecretStorage, pycountry-convert, keyring, twine\nSuccessfully installed Pygments-2.17.2 SecretStorage-3.3.3 black-23.11.0 build-1.0.3 certifi-2023.11.17 cffi-1.16.0 charset-normalizer-3.3.2 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.7 docutils-0.20.1 exceptiongroup-1.2.0 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.3.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-4.0.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.3 pytest-cov-4.1.0 pytest-mock-3.12.0 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 tomli-2.0.1 twine-4.0.2 typing_extensions-4.8.0 urllib3-2.1.0 wheel-0.42.0 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.11.7\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.11/site-packages/pip (python 3.11)\n## modules: \nblack==23.11.0\nbuild==1.0.3\ncertifi==2023.11.17\ncffi==1.16.0\ncharset-normalizer==3.3.2\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.7\ndnspython==2.4.2\ndocutils==0.20.1\nexceptiongroup==1.2.0\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.3.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==4.0.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.17.2\npyproject_hooks==1.0.0\npytest==7.4.3\npytest-cov==4.1.0\npytest-mock==3.12.0\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.7.0\nSecretStorage==3.3.3\nsix==1.16.0\ntomli==2.0.1\ntwine==4.0.2\ntyping_extensions==4.8.0\nurllib3==2.1.0\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\n## formatting ##################################################################\nAll done! ✨ 🍰 ✨\n110 files would be left unchanged.\n## tests/coverage ##############################################################\n============================= test session starts ==============================\nplatform linux -- Python 3.11.7, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/octodns/octodns\nconfigfile: pyproject.toml\nplugins: mock-3.12.0, network-0.0.1, cov-4.1.0\ncollected 294 items\n\ntests/test_octodns_equality.py .. [ 0%]\ntests/test_octodns_idna.py ......... [ 3%]\ntests/test_octodns_manager.py ...........................F.............. [ 18%]\n [ 18%]\ntests/test_octodns_plan.py .......... [ 21%]\ntests/test_octodns_processor_acme.py . [ 21%]\ntests/test_octodns_processor_arpa.py ......... [ 24%]\ntests/test_octodns_processor_filter.py ................ [ 30%]\ntests/test_octodns_processor_meta.py ...... [ 32%]\ntests/test_octodns_processor_ownership.py ... [ 33%]\ntests/test_octodns_processor_restrict.py . [ 33%]\ntests/test_octodns_processor_spf.py ....... [ 36%]\ntests/test_octodns_provider_base.py ................................ [ 46%]\ntests/test_octodns_provider_yaml.py ................... [ 53%]\ntests/test_octodns_record.py ......................... [ 61%]\ntests/test_octodns_record_a.py .. [ 62%]\ntests/test_octodns_record_aaaa.py ... [ 63%]\ntests/test_octodns_record_alias.py ... [ 64%]\ntests/test_octodns_record_caa.py .... [ 65%]\ntests/test_octodns_record_change.py .. [ 66%]\ntests/test_octodns_record_chunked.py . [ 67%]\ntests/test_octodns_record_cname.py ... [ 68%]\ntests/test_octodns_record_dname.py ... [ 69%]\ntests/test_octodns_record_ds.py . [ 69%]\ntests/test_octodns_record_dynamic.py ................ [ 74%]\ntests/test_octodns_record_geo.py ....... [ 77%]\ntests/test_octodns_record_ip.py . [ 77%]\ntests/test_octodns_record_loc.py .... [ 78%]\ntests/test_octodns_record_mx.py .... [ 80%]\ntests/test_octodns_record_naptr.py ... [ 81%]\ntests/test_octodns_record_ns.py ... [ 82%]\ntests/test_octodns_record_ptr.py ... [ 83%]\ntests/test_octodns_record_spf.py .. [ 84%]\ntests/test_octodns_record_srv.py .... [ 85%]\ntests/test_octodns_record_sshfp.py .... [ 86%]\ntests/test_octodns_record_target.py . [ 87%]\ntests/test_octodns_record_tlsa.py ... [ 88%]\ntests/test_octodns_record_txt.py .... [ 89%]\ntests/test_octodns_record_urlfwd.py .. [ 90%]\ntests/test_octodns_source_envvar.py .. [ 90%]\ntests/test_octodns_source_tinydns.py ..... [ 92%]\ntests/test_octodns_yaml.py .. [ 93%]\ntests/test_octodns_zone.py .................... [100%]\n\n=================================== FAILURES ===================================\n________________________ TestManager.test_missing_zone _________________________\n\nself = <test_octodns_manager.TestManager testMethod=test_missing_zone>\n\n def test_missing_zone(self):\n with self.assertRaises(ManagerException) as ctx:\n Manager(get_config_filename('dynamic-config.yaml')).sync(\n ['missing.zones.']\n )\n> self.assertTrue('Requested zone:' in str(ctx.exception))\nE AssertionError: False is not true\n\ntests/test_octodns_manager.py:87: AssertionError\n\n---------- coverage: platform linux, python 3.11.7-final-0 -----------\nName Stmts Miss Branch BrPart Cover\n------------------------------------------------------------------\noctodns/__init__.py 1 0 0 0 100%\noctodns/context.py 4 0 0 0 100%\noctodns/deprecation.py 3 0 0 0 100%\noctodns/equality.py 15 0 0 0 100%\noctodns/idna.py 53 0 13 0 100%\noctodns/manager.py 509 0 216 0 100%\noctodns/processor/__init__.py 0 0 0 0 100%\noctodns/processor/acme.py 22 0 8 0 100%\noctodns/processor/arpa.py 40 0 20 0 100%\noctodns/processor/base.py 13 0 0 0 100%\noctodns/processor/filter.py 134 0 46 0 100%\noctodns/processor/meta.py 48 0 16 0 100%\noctodns/processor/ownership.py 45 0 20 0 100%\noctodns/processor/restrict.py 21 0 10 0 100%\noctodns/processor/spf.py 59 0 26 0 100%\noctodns/provider/__init__.py 4 0 0 0 100%\noctodns/provider/base.py 147 0 72 0 100%\noctodns/provider/plan.py 203 0 65 0 100%\noctodns/provider/yaml.py 177 0 88 0 100%\noctodns/record/__init__.py 73 0 0 0 100%\noctodns/record/a.py 13 0 0 0 100%\noctodns/record/aaaa.py 13 0 0 0 100%\noctodns/record/alias.py 15 0 4 0 100%\noctodns/record/base.py 268 0 118 0 100%\noctodns/record/caa.py 71 0 34 0 100%\noctodns/record/change.py 28 0 2 0 100%\noctodns/record/chunked.py 49 0 28 0 100%\noctodns/record/cname.py 16 0 4 0 100%\noctodns/record/dname.py 9 0 0 0 100%\noctodns/record/ds.py 121 0 52 0 100%\noctodns/record/dynamic.py 270 0 124 0 100%\noctodns/record/exception.py 17 0 4 0 100%\noctodns/record/geo.py 117 0 50 0 100%\noctodns/record/geo_data.py 1 0 0 0 100%\noctodns/record/ip.py 33 0 22 0 100%\noctodns/record/loc.py 184 0 82 0 100%\noctodns/record/mx.py 88 0 32 0 100%\noctodns/record/naptr.py 109 0 50 0 100%\noctodns/record/ns.py 8 0 0 0 100%\noctodns/record/ptr.py 11 0 2 0 100%\noctodns/record/rr.py 12 0 0 0 100%\noctodns/record/spf.py 10 0 0 0 100%\noctodns/record/srv.py 117 0 48 0 100%\noctodns/record/sshfp.py 86 0 38 0 100%\noctodns/record/subnet.py 13 0 4 0 100%\noctodns/record/target.py 57 0 38 0 100%\noctodns/record/tlsa.py 97 0 44 0 100%\noctodns/record/txt.py 8 0 0 0 100%\noctodns/record/urlfwd.py 85 0 46 0 100%\noctodns/source/__init__.py 0 0 0 0 100%\noctodns/source/base.py 22 0 8 0 100%\noctodns/source/envvar.py 36 0 2 0 100%\noctodns/source/tinydns.py 239 0 132 0 100%\noctodns/yaml.py 48 0 10 0 100%\noctodns/zone.py 168 0 97 0 100%\n------------------------------------------------------------------\nTOTAL 4010 0 1675 0 100%\nCoverage HTML written to dir htmlcov\nCoverage XML written to file coverage.xml\n\nRequired test coverage of 100% reached. Total coverage: 100.00%\n=========================== short test summary info ============================\nFAILED tests/test_octodns_manager.py::TestManager::test_missing_zone - AssertionError: False is not true\n======================== 1 failed, 293 passed in 5.45s =========================\n##[error]Process completed with exit code 1.\n" }, { "step_name": "ci (3.12)/5_CI Build.txt", "log": "##[group]Run ./script/cibuild\n\u001b[36;1m./script/cibuild\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.12.1/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.1/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.1/x64/lib\n##[endgroup]\n## bootstrap ###################################################################\nRequirement already satisfied: pip>=10.0.1 in ./env/lib/python3.12/site-packages (23.2.1)\nCollecting pip>=10.0.1\n Obtaining dependency information for pip>=10.0.1 from https://files.pythonhosted.org/packages/47/6a/453160888fab7c6a432a6e25f8afe6256d0d9f2cbd25971021da6491d899/pip-23.3.1-py3-none-any.whl.metadata\n Downloading pip-23.3.1-py3-none-any.whl.metadata (3.5 kB)\nDownloading pip-23.3.1-py3-none-any.whl (2.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.1/2.1 MB 42.9 MB/s eta 0:00:00\nInstalling collected packages: pip\n Attempting uninstall: pip\n Found existing installation: pip 23.2.1\n Uninstalling pip-23.2.1:\n Successfully uninstalled pip-23.2.1\nSuccessfully installed pip-23.3.1\nCollecting PyYAML==6.0.1 (from -r requirements.txt (line 2))\n Using cached PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\nCollecting dnspython==2.4.2 (from -r requirements.txt (line 3))\n Using cached dnspython-2.4.2-py3-none-any.whl.metadata (4.9 kB)\nCollecting fqdn==1.5.1 (from -r requirements.txt (line 4))\n Using cached fqdn-1.5.1-py3-none-any.whl (9.1 kB)\nCollecting idna==3.4 (from -r requirements.txt (line 5))\n Using cached idna-3.4-py3-none-any.whl (61 kB)\nCollecting natsort==8.4.0 (from -r requirements.txt (line 6))\n Using cached natsort-8.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting python-dateutil==2.8.2 (from -r requirements.txt (line 7))\n Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\nCollecting six==1.16.0 (from -r requirements.txt (line 8))\n Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)\nUsing cached PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (724 kB)\nUsing cached dnspython-2.4.2-py3-none-any.whl (300 kB)\nUsing cached natsort-8.4.0-py3-none-any.whl (38 kB)\nInstalling collected packages: six, PyYAML, natsort, idna, fqdn, dnspython, python-dateutil\nSuccessfully installed PyYAML-6.0.1 dnspython-2.4.2 fqdn-1.5.1 idna-3.4 natsort-8.4.0 python-dateutil-2.8.2 six-1.16.0\nCollecting Pygments==2.17.2 (from -r requirements-dev.txt (line 2))\n Downloading pygments-2.17.2-py3-none-any.whl.metadata (2.6 kB)\nCollecting black==23.11.0 (from -r requirements-dev.txt (line 3))\n Downloading black-23.11.0-py3-none-any.whl.metadata (66 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.9/66.9 kB 3.5 MB/s eta 0:00:00\nCollecting build==1.0.3 (from -r requirements-dev.txt (line 4))\n Downloading build-1.0.3-py3-none-any.whl.metadata (4.2 kB)\nCollecting certifi==2023.11.17 (from -r requirements-dev.txt (line 5))\n Downloading certifi-2023.11.17-py3-none-any.whl.metadata (2.2 kB)\nCollecting cffi==1.16.0 (from -r requirements-dev.txt (line 6))\n Downloading cffi-1.16.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)\nCollecting charset-normalizer==3.3.2 (from -r requirements-dev.txt (line 7))\n Downloading charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (33 kB)\nCollecting click==8.1.7 (from -r requirements-dev.txt (line 8))\n Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)\nCollecting cmarkgfm==2022.10.27 (from -r requirements-dev.txt (line 9))\n Downloading cmarkgfm-2022.10.27.tar.gz (141 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 141.2/141.2 kB 29.2 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Installing backend dependencies: started\n Installing backend dependencies: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting coverage==7.3.2 (from -r requirements-dev.txt (line 10))\n Downloading coverage-7.3.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)\nCollecting docutils==0.20.1 (from -r requirements-dev.txt (line 11))\n Downloading docutils-0.20.1-py3-none-any.whl.metadata (2.8 kB)\nCollecting exceptiongroup==1.2.0 (from -r requirements-dev.txt (line 12))\n Downloading exceptiongroup-1.2.0-py3-none-any.whl.metadata (6.6 kB)\nCollecting importlib-metadata==6.8.0 (from -r requirements-dev.txt (line 13))\n Downloading importlib_metadata-6.8.0-py3-none-any.whl.metadata (5.1 kB)\nCollecting iniconfig==2.0.0 (from -r requirements-dev.txt (line 14))\n Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)\nCollecting isort==5.12.0 (from -r requirements-dev.txt (line 15))\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 91.2/91.2 kB 19.2 MB/s eta 0:00:00\nCollecting jaraco.classes==3.3.0 (from -r requirements-dev.txt (line 16))\n Downloading jaraco.classes-3.3.0-py3-none-any.whl.metadata (2.9 kB)\nCollecting keyring==24.3.0 (from -r requirements-dev.txt (line 17))\n Downloading keyring-24.3.0-py3-none-any.whl.metadata (20 kB)\nCollecting markdown-it-py==3.0.0 (from -r requirements-dev.txt (line 18))\n Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)\nCollecting mdurl==0.1.2 (from -r requirements-dev.txt (line 19))\n Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\nCollecting more-itertools==10.1.0 (from -r requirements-dev.txt (line 20))\n Downloading more_itertools-10.1.0-py3-none-any.whl.metadata (33 kB)\nCollecting mypy-extensions==1.0.0 (from -r requirements-dev.txt (line 21))\n Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\nCollecting nh3==0.2.14 (from -r requirements-dev.txt (line 22))\n Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.6 kB)\nCollecting packaging==23.2 (from -r requirements-dev.txt (line 23))\n Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting pathspec==0.11.2 (from -r requirements-dev.txt (line 24))\n Downloading pathspec-0.11.2-py3-none-any.whl.metadata (19 kB)\nCollecting pkginfo==1.9.6 (from -r requirements-dev.txt (line 25))\n Downloading pkginfo-1.9.6-py3-none-any.whl (30 kB)\nCollecting platformdirs==4.0.0 (from -r requirements-dev.txt (line 26))\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting pluggy==1.3.0 (from -r requirements-dev.txt (line 27))\n Downloading pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)\nCollecting pprintpp==0.4.0 (from -r requirements-dev.txt (line 28))\n Downloading pprintpp-0.4.0-py2.py3-none-any.whl (16 kB)\nCollecting pycountry-convert==0.7.2 (from -r requirements-dev.txt (line 29))\n Downloading pycountry_convert-0.7.2-py3-none-any.whl (13 kB)\nCollecting pycountry==22.3.5 (from -r requirements-dev.txt (line 30))\n Downloading pycountry-22.3.5.tar.gz (10.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.1/10.1 MB 104.7 MB/s eta 0:00:00\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pycparser==2.21 (from -r requirements-dev.txt (line 31))\n Using cached pycparser-2.21-py2.py3-none-any.whl (118 kB)\nCollecting pyflakes==3.1.0 (from -r requirements-dev.txt (line 32))\n Downloading pyflakes-3.1.0-py2.py3-none-any.whl.metadata (3.5 kB)\nCollecting pyproject_hooks==1.0.0 (from -r requirements-dev.txt (line 33))\n Downloading pyproject_hooks-1.0.0-py3-none-any.whl (9.3 kB)\nCollecting pytest-cov==4.1.0 (from -r requirements-dev.txt (line 34))\n Downloading pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB)\nCollecting pytest-mock==3.12.0 (from -r requirements-dev.txt (line 35))\n Downloading pytest_mock-3.12.0-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-network==0.0.1 (from -r requirements-dev.txt (line 36))\n Downloading pytest_network-0.0.1.tar.gz (2.8 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nCollecting pytest==7.4.3 (from -r requirements-dev.txt (line 37))\n Downloading pytest-7.4.3-py3-none-any.whl.metadata (7.9 kB)\nCollecting readme-renderer==42.0 (from -r requirements-dev.txt (line 38))\n Downloading readme_renderer-42.0-py3-none-any.whl.metadata (2.8 kB)\nCollecting repoze.lru==0.7 (from -r requirements-dev.txt (line 39))\n Downloading repoze.lru-0.7-py3-none-any.whl (10 kB)\nCollecting requests-toolbelt==1.0.0 (from -r requirements-dev.txt (line 40))\n Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 54.5/54.5 kB 15.2 MB/s eta 0:00:00\nCollecting requests==2.31.0 (from -r requirements-dev.txt (line 41))\n Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting rfc3986==2.0.0 (from -r requirements-dev.txt (line 42))\n Downloading rfc3986-2.0.0-py2.py3-none-any.whl (31 kB)\nCollecting rich==13.7.0 (from -r requirements-dev.txt (line 43))\n Downloading rich-13.7.0-py3-none-any.whl.metadata (18 kB)\nCollecting tomli==2.0.1 (from -r requirements-dev.txt (line 44))\n Downloading tomli-2.0.1-py3-none-any.whl (12 kB)\nCollecting twine==4.0.2 (from -r requirements-dev.txt (line 45))\n Downloading twine-4.0.2-py3-none-any.whl (36 kB)\nCollecting typing_extensions==4.8.0 (from -r requirements-dev.txt (line 46))\n Downloading typing_extensions-4.8.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting urllib3==2.1.0 (from -r requirements-dev.txt (line 47))\n Downloading urllib3-2.1.0-py3-none-any.whl.metadata (6.4 kB)\nCollecting zipp==3.17.0 (from -r requirements-dev.txt (line 48))\n Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)\nCollecting SecretStorage>=3.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading SecretStorage-3.3.3-py3-none-any.whl (15 kB)\nCollecting jeepney>=0.4.2 (from keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading jeepney-0.8.0-py3-none-any.whl (48 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.4/48.4 kB 13.3 MB/s eta 0:00:00\nCollecting wheel>=0.30.0 (from pycountry-convert==0.7.2->-r requirements-dev.txt (line 29))\n Using cached wheel-0.42.0-py3-none-any.whl.metadata (2.2 kB)\nCollecting setuptools (from pycountry==22.3.5->-r requirements-dev.txt (line 30))\n Using cached setuptools-69.0.2-py3-none-any.whl.metadata (6.3 kB)\nRequirement already satisfied: idna<4,>=2.5 in ./env/lib/python3.12/site-packages (from requests==2.31.0->-r requirements-dev.txt (line 41)) (3.4)\nCollecting cryptography>=2.0 (from SecretStorage>=3.2->keyring==24.3.0->-r requirements-dev.txt (line 17))\n Downloading cryptography-41.0.7-cp37-abi3-manylinux_2_28_x86_64.whl.metadata (5.2 kB)\nDownloading pygments-2.17.2-py3-none-any.whl (1.2 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 93.6 MB/s eta 0:00:00\nDownloading black-23.11.0-py3-none-any.whl (191 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 192.0/192.0 kB 31.4 MB/s eta 0:00:00\nDownloading build-1.0.3-py3-none-any.whl (18 kB)\nDownloading certifi-2023.11.17-py3-none-any.whl (162 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 162.5/162.5 kB 39.5 MB/s eta 0:00:00\nUsing cached cffi-1.16.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (477 kB)\nDownloading charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (141 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 141.9/141.9 kB 38.7 MB/s eta 0:00:00\nDownloading click-8.1.7-py3-none-any.whl (97 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 97.9/97.9 kB 29.8 MB/s eta 0:00:00\nDownloading coverage-7.3.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (232 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 232.3/232.3 kB 48.7 MB/s eta 0:00:00\nDownloading docutils-0.20.1-py3-none-any.whl (572 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 572.7/572.7 kB 74.1 MB/s eta 0:00:00\nDownloading exceptiongroup-1.2.0-py3-none-any.whl (16 kB)\nDownloading importlib_metadata-6.8.0-py3-none-any.whl (22 kB)\nDownloading jaraco.classes-3.3.0-py3-none-any.whl (5.9 kB)\nDownloading keyring-24.3.0-py3-none-any.whl (38 kB)\nDownloading markdown_it_py-3.0.0-py3-none-any.whl (87 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 87.5/87.5 kB 23.7 MB/s eta 0:00:00\nDownloading more_itertools-10.1.0-py3-none-any.whl (55 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 55.8/55.8 kB 17.8 MB/s eta 0:00:00\nDownloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 98.1 MB/s eta 0:00:00\nDownloading packaging-23.2-py3-none-any.whl (53 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 53.0/53.0 kB 16.2 MB/s eta 0:00:00\nDownloading pathspec-0.11.2-py3-none-any.whl (29 kB)\nDownloading platformdirs-4.0.0-py3-none-any.whl (17 kB)\nDownloading pluggy-1.3.0-py3-none-any.whl (18 kB)\nDownloading pyflakes-3.1.0-py2.py3-none-any.whl (62 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 kB 21.7 MB/s eta 0:00:00\nDownloading pytest_cov-4.1.0-py3-none-any.whl (21 kB)\nDownloading pytest_mock-3.12.0-py3-none-any.whl (9.8 kB)\nDownloading pytest-7.4.3-py3-none-any.whl (325 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 325.1/325.1 kB 57.9 MB/s eta 0:00:00\nDownloading readme_renderer-42.0-py3-none-any.whl (13 kB)\nDownloading requests-2.31.0-py3-none-any.whl (62 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 kB 16.5 MB/s eta 0:00:00\nDownloading rich-13.7.0-py3-none-any.whl (240 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 240.6/240.6 kB 47.6 MB/s eta 0:00:00\nDownloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\nDownloading urllib3-2.1.0-py3-none-any.whl (104 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 104.6/104.6 kB 23.3 MB/s eta 0:00:00\nDownloading zipp-3.17.0-py3-none-any.whl (7.4 kB)\nUsing cached wheel-0.42.0-py3-none-any.whl (65 kB)\nUsing cached setuptools-69.0.2-py3-none-any.whl (819 kB)\nDownloading cryptography-41.0.7-cp37-abi3-manylinux_2_28_x86_64.whl (4.4 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.4/4.4 MB 107.6 MB/s eta 0:00:00\nBuilding wheels for collected packages: cmarkgfm, pycountry, pytest-network\n Building wheel for cmarkgfm (pyproject.toml): started\n Building wheel for cmarkgfm (pyproject.toml): finished with status 'done'\n Created wheel for cmarkgfm: filename=cmarkgfm-2022.10.27-cp312-cp312-linux_x86_64.whl size=438506 sha256=fdbb533fe00677616961eda92dc6f504f84259d4ff1cc2e0c8c49eb757e59b28\n Stored in directory: /home/runner/.cache/pip/wheels/6c/1d/0d/bc5293f7edd716c8f7a9b25a5f502bd38e1c55571911c11061\n Building wheel for pycountry (pyproject.toml): started\n Building wheel for pycountry (pyproject.toml): finished with status 'done'\n Created wheel for pycountry: filename=pycountry-22.3.5-py2.py3-none-any.whl size=10681832 sha256=b3b721e2fbf3c359615fd74198aeb99ce8f19c4ba021148a3fd45761cf5b0eac\n Stored in directory: /home/runner/.cache/pip/wheels/d6/29/9b/b87113e87dc952ca6b3cf003fca8372f7bd12295acf65992eb\n Building wheel for pytest-network (pyproject.toml): started\n Building wheel for pytest-network (pyproject.toml): finished with status 'done'\n Created wheel for pytest-network: filename=pytest_network-0.0.1-py3-none-any.whl size=2960 sha256=994e926858a63d0e463602aa11c5e011a31c647010ee4498f67d409c1c4d53b5\n Stored in directory: /home/runner/.cache/pip/wheels/e9/6b/5a/3160ef803b88264fbb8882984c076ae87b75c5297a401103e4\nSuccessfully built cmarkgfm pycountry pytest-network\nInstalling collected packages: repoze.lru, pprintpp, nh3, zipp, wheel, urllib3, typing_extensions, tomli, setuptools, rfc3986, pyproject_hooks, Pygments, pyflakes, pycparser, pluggy, platformdirs, pkginfo, pathspec, packaging, mypy-extensions, more-itertools, mdurl, jeepney, isort, iniconfig, exceptiongroup, docutils, coverage, click, charset-normalizer, certifi, requests, readme-renderer, pytest, pycountry, markdown-it-py, jaraco.classes, importlib-metadata, cffi, build, black, rich, requests-toolbelt, pytest-network, pytest-mock, pytest-cov, cryptography, cmarkgfm, SecretStorage, pycountry-convert, keyring, twine\nSuccessfully installed Pygments-2.17.2 SecretStorage-3.3.3 black-23.11.0 build-1.0.3 certifi-2023.11.17 cffi-1.16.0 charset-normalizer-3.3.2 click-8.1.7 cmarkgfm-2022.10.27 coverage-7.3.2 cryptography-41.0.7 docutils-0.20.1 exceptiongroup-1.2.0 importlib-metadata-6.8.0 iniconfig-2.0.0 isort-5.12.0 jaraco.classes-3.3.0 jeepney-0.8.0 keyring-24.3.0 markdown-it-py-3.0.0 mdurl-0.1.2 more-itertools-10.1.0 mypy-extensions-1.0.0 nh3-0.2.14 packaging-23.2 pathspec-0.11.2 pkginfo-1.9.6 platformdirs-4.0.0 pluggy-1.3.0 pprintpp-0.4.0 pycountry-22.3.5 pycountry-convert-0.7.2 pycparser-2.21 pyflakes-3.1.0 pyproject_hooks-1.0.0 pytest-7.4.3 pytest-cov-4.1.0 pytest-mock-3.12.0 pytest-network-0.0.1 readme-renderer-42.0 repoze.lru-0.7 requests-2.31.0 requests-toolbelt-1.0.0 rfc3986-2.0.0 rich-13.7.0 setuptools-69.0.2 tomli-2.0.1 twine-4.0.2 typing_extensions-4.8.0 urllib3-2.1.0 wheel-0.42.0 zipp-3.17.0\n\nSetting blame.ignoreRevsFile to .git-blame-ingore-revs\n\nInstalling pre-commit hook\n\nRun source env/bin/activate to get your shell in to the virtualenv\nSee README.md for more information.\n\n## environment & versions ######################################################\nPython 3.12.1\npip 23.3.1 from /home/runner/work/octodns/octodns/env/lib/python3.12/site-packages/pip (python 3.12)\n## modules: \nblack==23.11.0\nbuild==1.0.3\ncertifi==2023.11.17\ncffi==1.16.0\ncharset-normalizer==3.3.2\nclick==8.1.7\ncmarkgfm==2022.10.27\ncoverage==7.3.2\ncryptography==41.0.7\ndnspython==2.4.2\ndocutils==0.20.1\nexceptiongroup==1.2.0\nfqdn==1.5.1\nidna==3.4\nimportlib-metadata==6.8.0\niniconfig==2.0.0\nisort==5.12.0\njaraco.classes==3.3.0\njeepney==0.8.0\nkeyring==24.3.0\nmarkdown-it-py==3.0.0\nmdurl==0.1.2\nmore-itertools==10.1.0\nmypy-extensions==1.0.0\nnatsort==8.4.0\nnh3==0.2.14\npackaging==23.2\npathspec==0.11.2\npkginfo==1.9.6\nplatformdirs==4.0.0\npluggy==1.3.0\npprintpp==0.4.0\npycountry==22.3.5\npycountry-convert==0.7.2\npycparser==2.21\npyflakes==3.1.0\nPygments==2.17.2\npyproject_hooks==1.0.0\npytest==7.4.3\npytest-cov==4.1.0\npytest-mock==3.12.0\npytest-network==0.0.1\npython-dateutil==2.8.2\nPyYAML==6.0.1\nreadme-renderer==42.0\nrepoze.lru==0.7\nrequests==2.31.0\nrequests-toolbelt==1.0.0\nrfc3986==2.0.0\nrich==13.7.0\nSecretStorage==3.3.3\nsetuptools==69.0.2\nsix==1.16.0\ntomli==2.0.1\ntwine==4.0.2\ntyping_extensions==4.8.0\nurllib3==2.1.0\nwheel==0.42.0\nzipp==3.17.0\n## clean up ####################################################################\n## begin #######################################################################\n## lint ########################################################################\n## formatting ##################################################################\nAll done! ✨ 🍰 ✨\n110 files would be left unchanged.\n## tests/coverage ##############################################################\n============================= test session starts ==============================\nplatform linux -- Python 3.12.1, pytest-7.4.3, pluggy-1.3.0\nrootdir: /home/runner/work/octodns/octodns\nconfigfile: pyproject.toml\nplugins: mock-3.12.0, network-0.0.1, cov-4.1.0\ncollected 294 items\n\ntests/test_octodns_equality.py .. [ 0%]\ntests/test_octodns_idna.py ......... [ 3%]\ntests/test_octodns_manager.py ...........................F.............. [ 18%]\n [ 18%]\ntests/test_octodns_plan.py .......... [ 21%]\ntests/test_octodns_processor_acme.py . [ 21%]\ntests/test_octodns_processor_arpa.py ......... [ 24%]\ntests/test_octodns_processor_filter.py ................ [ 30%]\ntests/test_octodns_processor_meta.py ...... [ 32%]\ntests/test_octodns_processor_ownership.py ... [ 33%]\ntests/test_octodns_processor_restrict.py . [ 33%]\ntests/test_octodns_processor_spf.py ....... [ 36%]\ntests/test_octodns_provider_base.py ................................ [ 46%]\ntests/test_octodns_provider_yaml.py ................... [ 53%]\ntests/test_octodns_record.py ......................... [ 61%]\ntests/test_octodns_record_a.py .. [ 62%]\ntests/test_octodns_record_aaaa.py ... [ 63%]\ntests/test_octodns_record_alias.py ... [ 64%]\ntests/test_octodns_record_caa.py .... [ 65%]\ntests/test_octodns_record_change.py .. [ 66%]\ntests/test_octodns_record_chunked.py . [ 67%]\ntests/test_octodns_record_cname.py ... [ 68%]\ntests/test_octodns_record_dname.py ... [ 69%]\ntests/test_octodns_record_ds.py . [ 69%]\ntests/test_octodns_record_dynamic.py ................ [ 74%]\ntests/test_octodns_record_geo.py ....... [ 77%]\ntests/test_octodns_record_ip.py . [ 77%]\ntests/test_octodns_record_loc.py .... [ 78%]\ntests/test_octodns_record_mx.py .... [ 80%]\ntests/test_octodns_record_naptr.py ... [ 81%]\ntests/test_octodns_record_ns.py ... [ 82%]\ntests/test_octodns_record_ptr.py ... [ 83%]\ntests/test_octodns_record_spf.py .. [ 84%]\ntests/test_octodns_record_srv.py .... [ 85%]\ntests/test_octodns_record_sshfp.py .... [ 86%]\ntests/test_octodns_record_target.py . [ 87%]\ntests/test_octodns_record_tlsa.py ... [ 88%]\ntests/test_octodns_record_txt.py .... [ 89%]\ntests/test_octodns_record_urlfwd.py .. [ 90%]\ntests/test_octodns_source_envvar.py .. [ 90%]\ntests/test_octodns_source_tinydns.py ..... [ 92%]\ntests/test_octodns_yaml.py .. [ 93%]\ntests/test_octodns_zone.py .................... [100%]\n\n=================================== FAILURES ===================================\n________________________ TestManager.test_missing_zone _________________________\n\nself = <test_octodns_manager.TestManager testMethod=test_missing_zone>\n\n def test_missing_zone(self):\n with self.assertRaises(ManagerException) as ctx:\n Manager(get_config_filename('dynamic-config.yaml')).sync(\n ['missing.zones.']\n )\n> self.assertTrue('Requested zone:' in str(ctx.exception))\nE AssertionError: False is not true\n\ntests/test_octodns_manager.py:87: AssertionError\n\n---------- coverage: platform linux, python 3.12.1-final-0 -----------\nName Stmts Miss Branch BrPart Cover\n------------------------------------------------------------------\noctodns/__init__.py 1 0 0 0 100%\noctodns/context.py 4 0 0 0 100%\noctodns/deprecation.py 3 0 0 0 100%\noctodns/equality.py 15 0 0 0 100%\noctodns/idna.py 53 0 13 0 100%\noctodns/manager.py 509 0 195 0 100%\noctodns/processor/__init__.py 0 0 0 0 100%\noctodns/processor/acme.py 22 0 8 0 100%\noctodns/processor/arpa.py 40 0 20 0 100%\noctodns/processor/base.py 13 0 0 0 100%\noctodns/processor/filter.py 134 0 44 0 100%\noctodns/processor/meta.py 48 0 16 0 100%\noctodns/processor/ownership.py 45 0 20 0 100%\noctodns/processor/restrict.py 21 0 10 0 100%\noctodns/processor/spf.py 59 0 24 0 100%\noctodns/provider/__init__.py 4 0 0 0 100%\noctodns/provider/base.py 147 0 68 0 100%\noctodns/provider/plan.py 203 0 61 0 100%\noctodns/provider/yaml.py 177 0 86 0 100%\noctodns/record/__init__.py 73 0 0 0 100%\noctodns/record/a.py 13 0 0 0 100%\noctodns/record/aaaa.py 13 0 0 0 100%\noctodns/record/alias.py 15 0 4 0 100%\noctodns/record/base.py 268 0 108 0 100%\noctodns/record/caa.py 71 0 32 0 100%\noctodns/record/change.py 28 0 2 0 100%\noctodns/record/chunked.py 49 0 26 0 100%\noctodns/record/cname.py 16 0 4 0 100%\noctodns/record/dname.py 9 0 0 0 100%\noctodns/record/ds.py 121 0 50 0 100%\noctodns/record/dynamic.py 270 0 122 0 100%\noctodns/record/exception.py 17 0 4 0 100%\noctodns/record/geo.py 117 0 50 0 100%\noctodns/record/geo_data.py 1 0 0 0 100%\noctodns/record/ip.py 33 0 18 0 100%\noctodns/record/loc.py 184 0 80 0 100%\noctodns/record/mx.py 88 0 30 0 100%\noctodns/record/naptr.py 109 0 48 0 100%\noctodns/record/ns.py 8 0 0 0 100%\noctodns/record/ptr.py 11 0 2 0 100%\noctodns/record/rr.py 12 0 0 0 100%\noctodns/record/spf.py 10 0 0 0 100%\noctodns/record/srv.py 117 0 46 0 100%\noctodns/record/sshfp.py 86 0 36 0 100%\noctodns/record/subnet.py 13 0 4 0 100%\noctodns/record/target.py 57 0 36 0 100%\noctodns/record/tlsa.py 97 0 42 0 100%\noctodns/record/txt.py 8 0 0 0 100%\noctodns/record/urlfwd.py 85 0 44 0 100%\noctodns/source/__init__.py 0 0 0 0 100%\noctodns/source/base.py 22 0 8 0 100%\noctodns/source/envvar.py 36 0 2 0 100%\noctodns/source/tinydns.py 239 0 122 0 100%\noctodns/yaml.py 48 0 8 0 100%\noctodns/zone.py 168 0 90 0 100%\n------------------------------------------------------------------\nTOTAL 4010 0 1583 0 100%\nCoverage HTML written to dir htmlcov\nCoverage XML written to file coverage.xml\n\nRequired test coverage of 100% reached. Total coverage: 100.00%\n=========================== short test summary info ============================\nFAILED tests/test_octodns_manager.py::TestManager::test_missing_zone - AssertionError: False is not true\n======================== 1 failed, 293 passed in 7.61s =========================\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/tests/test_octodns_manager.py b/tests/test_octodns_manager.py index b8f3c92..b93c9b8 100644 --- a/tests/test_octodns_manager.py +++ b/tests/test_octodns_manager.py @@ -84,7 +84,7 @@ class TestManager(TestCase): Manager(get_config_filename('dynamic-config.yaml')).sync( ['missing.zones.'] ) - self.assertTrue('Requested zone:' in str(ctx.exception)) + self.assertTrue('Requested zone ' in str(ctx.exception)) def test_missing_targets(self): with self.assertRaises(ManagerException) as ctx:	3	[ "tests/test_octodns_manager.py" ]	https://github.com/octodns/octodns/tree/9e1aa7b8edfb723656f41f97bab57f9a653d5e1b	2023-12-13T16:22:28Z
Python	168	pwndbg	pwndbg	uaf	Unit tests	tests.yml	.github/workflows/tests.yml	mbrla0	f2f8b63c3d579f9e8f1d4319592e44e39591ee38	96dd5d5cb608c0e501d61a569ddb2ddaea52c938	name: Unit tests on: push: branches: - dev paths: - '!mkdocs.yml' - '!docs/**' pull_request: jobs: tests: strategy: fail-fast: false matrix: os: [ubuntu-22.04, ubuntu-20.04] runs-on: ${{ matrix.os }} services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 timeout-minutes: 20 steps: - uses: actions/checkout@v3 - name: Cache for pip uses: actions/cache@v3 with: path: ~/.cache/pip key: ${{ matrix.os }}-cache-pip - name: Install dependencies run: \| ./setup.sh ./setup-dev.sh - name: Python version info run: \| echo 'GDB py:' gdb --batch --quiet --nx --nh --ex 'py import sys; print(sys.version)' echo 'Installed py:' ./.venv/bin/python -V echo 'Installed packages:' ./.venv/bin/python -m pip freeze # We set `kernel.yama.ptrace_scope=0` for `attachp` command tests - name: Run tests run: \| mkdir .cov sudo sysctl -w kernel.yama.ptrace_scope=0 ./tests.sh --cov - name: Process coverage data if: matrix.os == 'ubuntu-22.04' run: \| ./.venv/bin/coverage combine ./.venv/bin/coverage xml - name: "Upload coverage to Codecov" if: matrix.os == 'ubuntu-22.04' uses: codecov/codecov-action@v3 qemu-tests: runs-on: [ubuntu-22.04] timeout-minutes: 30 steps: - uses: actions/checkout@v3 - name: Cache for pip uses: actions/cache@v3 with: path: ~/.cache/pip key: ${{ matrix.os }}-cache-pip - name: Install dependencies run: \| ./setup.sh ./setup-dev.sh mkdir .cov - name: Set up cache for QEMU images id: qemu-cache uses: actions/cache@v3 with: path: ./tests/qemu-tests/images key: ${{ matrix.os }}-cache-qemu-images - name: Download images run: \| ./tests/qemu-tests/download_images.sh # We set `kernel.yama.ptrace_scope=0` for `gdb-pt-dump` - name: Run tests working-directory: ./tests/qemu-tests run: \| sudo sysctl -w kernel.yama.ptrace_scope=0 ./tests.sh --cov - name: Run qemu-user tests working-directory: ./tests/qemu-tests run: \| ./test_qemu.sh - name: Process coverage data run: \| ./.venv/bin/coverage combine ./.venv/bin/coverage xml - name: Upload coverage to Codecov uses: codecov/codecov-action@v3 env: PIP_INDEX_URL: http://localhost:8629/2024-01-03 UV_INDEX_URL: http://localhost:8629/2024-01-03	[ { "step_name": "tests (ubuntu-22.04)/6_Run tests.txt", "log": "##[group]Run mkdir .cov\n\u001b[36;1mmkdir .cov\u001b[0m\n\u001b[36;1msudo sysctl -w kernel.yama.ptrace_scope=0\u001b[0m\n\u001b[36;1m./tests.sh --cov\u001b[0m\nshell: /usr/bin/bash -e {0}\n##[endgroup]\nkernel.yama.ptrace_scope = 0\n[+] Building 'div_zero.out'\n[+] Building 'heap_bins.out'\n[+] Building heap_bugs.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-Wno-int-to-pointer-cast -Wno-int-conversion -Wno-unused-variable \\\n-target native-native-gnu.2.33 \\\n-Wl,-rpath=/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/binaries/glibcs/2.33:\\\n-Wl,--dynamic-linker=/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/binaries/glibcs/2.33/ld-linux-x86-64.so.2 \\\n-o heap_bugs.out heap_bugs.c\n[+] Building 'heap_find_fake_fast.out'\n[+] Building heap_malloc_chunk.out\ngcc -g -O0 -Wno-nonnull -Wno-unused-result -o heap_malloc_chunk.out heap_malloc_chunk.c -pthread -lpthread\n[+] Building heap_vis.out\ngcc -g -O0 -Wno-nonnull -o heap_vis.out heap_vis.c -pthread -lpthread\n[+] Building 'initialized_heap.out'\n[+] Building issue_1565.out\ngcc -g -O0 -o issue_1565.out issue_1565.c -pthread -lpthread\n[+] Building 'linked-lists.out'\n[+] Building multiple_threads.out\ngcc -g -O0 -o multiple_threads.out multiple_threads.c -pthread -lpthread\n[+] Building 'reference-binary-net.out'\n[+] Building 'reference-binary.out'\n[+] Building 'search_memory.out'\n[+] Building 'tabstop.out'\n[+] Building 'telescope_binary.out'\n[+] Building tls.i386.c\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target i386-linux-gnu \\\n-o tls.i386.out tls.i386.c\n[+] Building tls.x86-64.c\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target x86_64-linux-gnu \\\n-o tls.x86-64.out tls.x86-64.c\n[+] Building 'use-fds.out'\n[+] Building 'very_long_symbols.out'\n[+] Building 'conditional_branch_breakpoints_x64.o'\n[+] Linking 'conditional_branch_breakpoints_x64.out'\n[+] Building 'emulate_disasm.o'\n[+] Linking 'emulate_disasm.out'\n[+] Building 'emulate_disasm_loop.o'\n[+] Linking 'emulate_disasm_loop.out'\n[+] Building 'memory.o'\n[+] Linking 'memory.out'\n[+] Building 'stepuntilasm_x64.o'\n[+] Linking 'stepuntilasm_x64.out'\n[+] Building 'syscalls-x64.o'\n[+] Linking 'syscalls-x64.out'\n[+] Building 'gosample.x64'\n[+] Building 'gosample.x86'\n[+] Building reference_bin_pie.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc -fpie -o reference_bin_pie.out reference-binary.c\n[+] Building reference_bin_nopie.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc -fno-pie -o reference_bin_nopie.out reference-binary.c\ng++ -O0 -ggdb -Wno-pmf-conversions symbol_1600_and_752.cpp -o symbol_1600_and_752.out\n[+] Building initialized_heap_x64.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target x86_64-linux-gnu \\\n-o initialized_heap_x64.out initialized_heap.c\n[+] Building initialized_heap_i386_big.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target i386-linux-gnu \\\n-o initialized_heap_i386_big.out initialized_heap.c\n[+] Building linked-lists.c\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc -fpie -g -o linked_lists.out linked-lists.c\nrm emulate_disasm_loop.o syscalls-x64.o conditional_branch_breakpoints_x64.o stepuntilasm_x64.o emulate_disasm.o memory.o\nWill run codecov\nZIGPATH set to /home/runner/work/pwndbg/pwndbg/.zig\n\nRunning tests in parallel\nRunning with coverage\nRunning with coverage\nRunning with coverage\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_none \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_none_no_truncate \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_pid \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_ask \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_oldest \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_nonexistent_procname \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_attachp_command_attaches_to_procname_resolve_newest \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_cache_single_value 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coverage\ntest_command_ignore_no_breakpoint_set \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_errno \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_ignore_no_breakpoint_set_remove \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_ignore_no_breakpoint_found \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_ignore_breakpoint_last_found_two \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_ignore_breakpoint_last_negative \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_ignore_breakpoint_last_found_one \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_killthreads_kills_all_threads_except_current \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_killthreads_before_binary_start \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_killthreads_kills_specific_thread \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_killthreads_produces_error_when_unknown_thread_passed \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_plist_flat_no_flags \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_plist_flat_field \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_plist_flat_sentinel \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_plist_nested_direct \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_procinfo_before_binary_start \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_plist_nested_indirect \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_procinfo \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_search_limit \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_search_step \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_search_alignment \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_search_byte_width \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_search_word_width \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_search_dword_width \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_search_rwx \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_untilasm_x64 \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_search_qword_width \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_telescope \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_telescope_reverse \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_telescope_n_records \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_telescope_command_with_address_as_count \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_telescope_command_with_address_as_count_and_reversed_flag \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_telescope_reverse_skipped_records_shows_input_address \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_telescope_frame \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_telescope_frame_bp_below_sp \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_telescope_frame_bp_sp_different_vmmaps \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_tls_address_and_command[x86-64] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_tls_address_and_command[i386] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_vmmap_on_coredump_on_crash_simple_binary[False] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_vmmap_on_coredump_on_crash_simple_binary[True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_xor_with_gdb_execute \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_vmmap_issue_1565 \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_xor_with_int \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_xor_with_hex \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_memfrob \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_commands[k] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[peb] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[stepuntilasm] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[bins] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[tips] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[setflag] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ai] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[bc] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[comm] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[pwndbg] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[brva] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ez] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[lm] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[be] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[xpsr] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[argv] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[spray] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dds] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[hexdump] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[retaddr] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[contextwatch] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[bp] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[xuntil] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[configfile] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[slab] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[main] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[cunwatch] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[go] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[cwatch] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[disable-heap-tracker] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[env] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dt] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[asm] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[canary] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[vmmap_load] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ew] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[save_ida] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dqs] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[kchecksec] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[getpid] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[rzpipe] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[gsbase] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[unsortedbin] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[tcachebins] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[stepsyscall] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[pstate] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ds] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[threads] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[emulate] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[patch] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ctx] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ropgadget] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[gotplt] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[stack] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[plt] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[fastbins] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ln] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[flag] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[distance] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[bd] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[auxv] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[libs] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[top_chunk] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[config] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[bugreport] \u001b[33mXFAIL\u001b[0m\n\npwndbg: loaded 155 pwndbg commands and 47 shell commands. Type pwndbg [--shell \| --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.10/site-packages', '/usr/share/gdb/python', '/usr/lib/python310.zip', '/usr/lib/python3.10', '/usr/lib/python3.10/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: ['/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_commands.py::test_commands[bugreport]', '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.10.12, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_commands.py::test_commands[bugreport] Running command bugreport\n\nProgram stopped.\n0x00007ffff7fe3290 in _start () from /lib64/ld-linux-x86-64.so.2\n\u001b[33mXFAIL\u001b[0m (flaky test)\n\n\u001b[33m============================== \u001b[33m\u001b[1m1 xfailed\u001b[0m\u001b[33m in 0.13s\u001b[0m\u001b[33m ==============================\u001b[0m\n\nRunning with coverage\ntest_commands[elfsections] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[heap_config] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[killthreads] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[procinfo] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[enable-heap-tracker] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ghidra] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[errno] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[search] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[valist] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[nearpc] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[contextoutput] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[da] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[vmmap_clear] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[telescope] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[nextjump] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ignore] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[argc] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[heap] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[cyclic] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[init] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[pdisass] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[largebins] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[envp] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[toggle-heap-tracker-break] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dw] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dc] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[eb] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[cpsr] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[reinit_pwndbg] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[patch_list] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[piebase] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[db] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dq] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ctx-out] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[args] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[checksec] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[nextret] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[reload] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[sigreturn] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[mprotect] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[j] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[attachp] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ctx-unwatch] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[mmap] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[malloc_chunk] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ropper] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ctx-watch] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[bl] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[rizin] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[u] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[kconfig] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[smallbins] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[kversion] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[find_fake_fast] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[theme] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[try_free] \u001b[33mXFAIL\u001b[0m\n\npwndbg: loaded 155 pwndbg commands and 47 shell commands. Type pwndbg [--shell \| --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.10/site-packages', '/usr/share/gdb/python', '/usr/lib/python310.zip', '/usr/lib/python3.10', '/usr/lib/python3.10/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: ['/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_commands.py::test_commands[try_free]', '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.10.12, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_commands.py::test_commands[try_free] Running command try_free\n\nProgram stopped.\n0x00007ffff7fe3290 in _start () from /lib64/ld-linux-x86-64.so.2\n'try_free': Check what would happen if free was called with given address.\n\u001b[33mXFAIL\u001b[0m (flaky test)\n\n\u001b[33m============================== \u001b[33m\u001b[1m1 xfailed\u001b[0m\u001b[33m in 0.13s\u001b[0m\u001b[33m ==============================\u001b[0m\n\nRunning with coverage\ntest_commands[hi] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[pc] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[getfile] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[tls] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[nextsc] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[kbase] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[radare2] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[stepsc] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[eza] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[start] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[version] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[cymbol] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dumpargs] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[kcmdline] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[nextcall] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[nextjmp] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[fsbase] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[break-if-taken] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[ed] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[nextsyscall] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[contextunwatch] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dps] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[vmmap_add] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[down] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[regs] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[entry] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[context] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[vmmap] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[patch_revert] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[so] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[rz] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[vis_heap_chunks] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[r2] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[themefile] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[eq] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[up] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[stepover] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[kd] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[arena] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[environ] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[dd] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[leakfind] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[r2pipe] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[memfrob] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[xor] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[break-if-not-taken] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[tcache] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[aslr] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[xinfo] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[plist] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[vprot] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[breakrva] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[mp] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[stackf] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[stepret] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[memoize] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[p2p] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[probeleak] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[arenas] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[got] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[address] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[pid] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands[rop] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_command_plt[reference_bin_pie.out-True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_commands[sstart] \u001b[33mXPASS\u001b[0m\nRunning with coverage\ntest_commands_plt_gotplt_got_when_no_sections \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_plt[reference_bin_nopie.out-False] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_nextproginstr_binary_not_running \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_got_for_target_binary[reference_bin_pie.out-True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_got_for_target_binary[reference_bin_nopie.out-False] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_got_for_target_binary_and_loaded_library \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[nextcall] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[nextjump] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[nextproginstr] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[nextret] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[nextsyscall] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_command_nextproginstr \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[stepret] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_context_disasm_show_fd_filepath \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_empty_context_sections[''] \u001b[31mFAILED\u001b[0m\n\npwndbg: loaded 155 pwndbg commands and 47 shell commands. Type pwndbg [--shell \| --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.10/site-packages', '/usr/share/gdb/python', '/usr/lib/python310.zip', '/usr/lib/python3.10', '/usr/lib/python3.10/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: [\"/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_context_commands.py::test_empty_context_sections['']\", '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.10.12, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_context_commands.py::test_empty_context_sections[''] \nProgram stopped.\n0x00007ffff7fe3290 in _start () from /lib64/ld-linux-x86-64.so.2\n\u001b[31mFAILED\u001b[0m\n\n=================================== FAILURES ===================================\n\u001b[31m\u001b[1m_______________________ test_empty_context_sections[''] ________________________\u001b[0m\n\nstart_binary = <function start_binary.<locals>._start_binary at 0x7fb3b51a0ca0>\nsections = \"''\"\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[33m\"\u001b[39;49;00m\u001b[33msections\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, (\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33mnone\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m-\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m))\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_empty_context_sections\u001b[39;49;00m(start_binary, sections):\u001b[90m\u001b[39;49;00m\n start_binary(USE_FDS_BINARY)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[90m# Sanity check\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n default_ctx_sects = \u001b[33m\"\u001b[39;49;00m\u001b[33mregs disasm code ghidra stack backtrace expressions threads\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m pwndbg.gdblib.config.context_sections.value == default_ctx_sects\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\u001b[0m\n\u001b[1m\u001b[31mE - regs disasm code ghidra stack backtrace expressions threads\u001b[0m\n\u001b[1m\u001b[31mE + regs disasm code ghidra stack backtrace expressions threads heap-tracker\u001b[0m\n\u001b[1m\u001b[31mE ? +++++++++++++\u001b[0m\n\ndefault_ctx_sects = 'regs disasm code ghidra stack backtrace expressions threads'\nsections = \"''\"\nstart_binary = <function start_binary.<locals>._start_binary at 0x7fb3b51a0ca0>\n\n\u001b[1m\u001b[31mtests/test_context_commands.py\u001b[0m:85: AssertionError\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[31mFAILED\u001b[0m tests/test_context_commands.py::\u001b[1mtest_empty_context_sections['']\u001b[0m - AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\n - regs disasm code ghidra stack backtrace expressions threads\n + regs disasm code ghidra stack backtrace expressions threads heap-tracker\n ? +++++++++++++\n\u001b[31m============================== \u001b[31m\u001b[1m1 failed\u001b[0m\u001b[31m in 0.31s\u001b[0m\u001b[31m ===============================\u001b[0m\n--------------------------------------------------------------------------------\nIf you want to debug tests locally, run ./tests.sh with the --pdb flag\n--------------------------------------------------------------------------------\n\nRunning with coverage\ntest_empty_context_sections[\"\"] \u001b[31mFAILED\u001b[0m\n\npwndbg: loaded 155 pwndbg commands and 47 shell commands. Type pwndbg [--shell \| --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.10/site-packages', '/usr/share/gdb/python', '/usr/lib/python310.zip', '/usr/lib/python3.10', '/usr/lib/python3.10/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: ['/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_context_commands.py::test_empty_context_sections[\"\"]', '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.10.12, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_context_commands.py::test_empty_context_sections[\"\"] \nProgram stopped.\n0x00007ffff7fe3290 in _start () from /lib64/ld-linux-x86-64.so.2\n\u001b[31mFAILED\u001b[0m\n\n=================================== FAILURES ===================================\n\u001b[31m\u001b[1m_______________________ test_empty_context_sections[\"\"] ________________________\u001b[0m\n\nstart_binary = <function start_binary.<locals>._start_binary at 0x7ff6a9398ca0>\nsections = '\"\"'\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[33m\"\u001b[39;49;00m\u001b[33msections\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, (\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33mnone\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m-\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m))\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_empty_context_sections\u001b[39;49;00m(start_binary, sections):\u001b[90m\u001b[39;49;00m\n start_binary(USE_FDS_BINARY)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[90m# Sanity check\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n default_ctx_sects = \u001b[33m\"\u001b[39;49;00m\u001b[33mregs disasm code ghidra stack backtrace expressions threads\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m pwndbg.gdblib.config.context_sections.value == default_ctx_sects\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\u001b[0m\n\u001b[1m\u001b[31mE - regs disasm code ghidra stack backtrace expressions threads\u001b[0m\n\u001b[1m\u001b[31mE + regs disasm code ghidra stack backtrace expressions threads heap-tracker\u001b[0m\n\u001b[1m\u001b[31mE ? +++++++++++++\u001b[0m\n\ndefault_ctx_sects = 'regs disasm code ghidra stack backtrace expressions threads'\nsections = '\"\"'\nstart_binary = <function start_binary.<locals>._start_binary at 0x7ff6a9398ca0>\n\n\u001b[1m\u001b[31mtests/test_context_commands.py\u001b[0m:85: AssertionError\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[31mFAILED\u001b[0m tests/test_context_commands.py::\u001b[1mtest_empty_context_sections[\"\"]\u001b[0m - AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\n - regs disasm code ghidra stack backtrace expressions threads\n + regs disasm code ghidra stack backtrace expressions threads heap-tracker\n ? +++++++++++++\n\u001b[31m============================== \u001b[31m\u001b[1m1 failed\u001b[0m\u001b[31m in 0.29s\u001b[0m\u001b[31m ===============================\u001b[0m\n--------------------------------------------------------------------------------\nIf you want to debug tests locally, run ./tests.sh with the --pdb flag\n--------------------------------------------------------------------------------\n\nRunning with coverage\ntest_empty_context_sections[none] \u001b[31mFAILED\u001b[0m\n\npwndbg: loaded 155 pwndbg commands and 47 shell commands. Type pwndbg [--shell \| --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.10/site-packages', '/usr/share/gdb/python', '/usr/lib/python310.zip', '/usr/lib/python3.10', '/usr/lib/python3.10/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: ['/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_context_commands.py::test_empty_context_sections[none]', '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.10.12, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_context_commands.py::test_empty_context_sections[none] \nProgram stopped.\n0x00007ffff7fe3290 in _start () from /lib64/ld-linux-x86-64.so.2\n\u001b[31mFAILED\u001b[0m\n\n=================================== FAILURES ===================================\n\u001b[31m\u001b[1m______________________ test_empty_context_sections[none] _______________________\u001b[0m\n\nstart_binary = <function start_binary.<locals>._start_binary at 0x7faef5b8cca0>\nsections = 'none'\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[33m\"\u001b[39;49;00m\u001b[33msections\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, (\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33mnone\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m-\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m))\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_empty_context_sections\u001b[39;49;00m(start_binary, sections):\u001b[90m\u001b[39;49;00m\n start_binary(USE_FDS_BINARY)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[90m# Sanity check\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n default_ctx_sects = \u001b[33m\"\u001b[39;49;00m\u001b[33mregs disasm code ghidra stack backtrace expressions threads\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m pwndbg.gdblib.config.context_sections.value == default_ctx_sects\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\u001b[0m\n\u001b[1m\u001b[31mE - regs disasm code ghidra stack backtrace expressions threads\u001b[0m\n\u001b[1m\u001b[31mE + regs disasm code ghidra stack backtrace expressions threads heap-tracker\u001b[0m\n\u001b[1m\u001b[31mE ? +++++++++++++\u001b[0m\n\ndefault_ctx_sects = 'regs disasm code ghidra stack backtrace expressions threads'\nsections = 'none'\nstart_binary = <function start_binary.<locals>._start_binary at 0x7faef5b8cca0>\n\n\u001b[1m\u001b[31mtests/test_context_commands.py\u001b[0m:85: AssertionError\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[31mFAILED\u001b[0m tests/test_context_commands.py::\u001b[1mtest_empty_context_sections[none]\u001b[0m - AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\n - regs disasm code ghidra stack backtrace expressions threads\n + regs disasm code ghidra stack backtrace expressions threads heap-tracker\n ? +++++++++++++\n\u001b[31m============================== \u001b[31m\u001b[1m1 failed\u001b[0m\u001b[31m in 0.27s\u001b[0m\u001b[31m ===============================\u001b[0m\n--------------------------------------------------------------------------------\nIf you want to debug tests locally, run ./tests.sh with the --pdb flag\n--------------------------------------------------------------------------------\n\nRunning with coverage\ntest_next_command_doesnt_freeze_crashed_binary[stepsyscall] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_empty_context_sections[-] \u001b[31mFAILED\u001b[0m\n\npwndbg: loaded 155 pwndbg commands and 47 shell commands. Type pwndbg [--shell \| --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.10/site-packages', '/usr/share/gdb/python', '/usr/lib/python310.zip', '/usr/lib/python3.10', '/usr/lib/python3.10/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: ['/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_context_commands.py::test_empty_context_sections[-]', '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.10.12, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_context_commands.py::test_empty_context_sections[-] \nProgram stopped.\n0x00007ffff7fe3290 in _start () from /lib64/ld-linux-x86-64.so.2\n\u001b[31mFAILED\u001b[0m\n\n=================================== FAILURES ===================================\n\u001b[31m\u001b[1m________________________ test_empty_context_sections[-] ________________________\u001b[0m\n\nstart_binary = <function start_binary.<locals>._start_binary at 0x7fc85d638e50>\nsections = '-'\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[33m\"\u001b[39;49;00m\u001b[33msections\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, (\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33mnone\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m-\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m))\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_empty_context_sections\u001b[39;49;00m(start_binary, sections):\u001b[90m\u001b[39;49;00m\n start_binary(USE_FDS_BINARY)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[90m# Sanity check\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n default_ctx_sects = \u001b[33m\"\u001b[39;49;00m\u001b[33mregs disasm code ghidra stack backtrace expressions threads\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m pwndbg.gdblib.config.context_sections.value == default_ctx_sects\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\u001b[0m\n\u001b[1m\u001b[31mE - regs disasm code ghidra stack backtrace expressions threads\u001b[0m\n\u001b[1m\u001b[31mE + regs disasm code ghidra stack backtrace expressions threads heap-tracker\u001b[0m\n\u001b[1m\u001b[31mE ? +++++++++++++\u001b[0m\n\ndefault_ctx_sects = 'regs disasm code ghidra stack backtrace expressions threads'\nsections = '-'\nstart_binary = <function start_binary.<locals>._start_binary at 0x7fc85d638e50>\n\n\u001b[1m\u001b[31mtests/test_context_commands.py\u001b[0m:85: AssertionError\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[31mFAILED\u001b[0m tests/test_context_commands.py::\u001b[1mtest_empty_context_sections[-]\u001b[0m - AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\n - regs disasm code ghidra stack backtrace expressions threads\n + regs disasm code ghidra stack backtrace expressions threads heap-tracker\n ? +++++++++++++\n\u001b[31m============================== \u001b[31m\u001b[1m1 failed\u001b[0m\u001b[31m in 0.28s\u001b[0m\u001b[31m ===============================\u001b[0m\n--------------------------------------------------------------------------------\nIf you want to debug tests locally, run ./tests.sh with the --pdb flag\n--------------------------------------------------------------------------------\n\nRunning with coverage\ntest_empty_context_sections[] \u001b[31mFAILED\u001b[0m\n\npwndbg: loaded 155 pwndbg commands and 47 shell commands. Type pwndbg [--shell \| --all] [filter] for a list.\npwndbg: created $rebase, $ida GDB functions (can be used with print/break)\n['/home/runner/work/pwndbg/pwndbg', '/home/runner/work/pwndbg/pwndbg/.venv/lib/python3.10/site-packages', '/usr/share/gdb/python', '/usr/lib/python310.zip', '/usr/lib/python3.10', '/usr/lib/python3.10/lib-dynload', '/home/runner/work/pwndbg/pwndbg']\nLaunching pytest with args: ['/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/test_context_commands.py::test_empty_context_sections[]', '-vvv', '-s', '--showlocals', '--color=yes']\n\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.10.12, pytest-7.3.1, pluggy-1.3.0 -- /usr/bin/python\ncachedir: .pytest_cache\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\n\u001b[1mcollecting ... \u001b[0mcollected 1 item\n\ntests/test_context_commands.py::test_empty_context_sections[] \nProgram stopped.\n0x00007ffff7fe3290 in _start () from /lib64/ld-linux-x86-64.so.2\n\u001b[31mFAILED\u001b[0m\n\n=================================== FAILURES ===================================\n\u001b[31m\u001b[1m________________________ test_empty_context_sections[] _________________________\u001b[0m\n\nstart_binary = <function start_binary.<locals>._start_binary at 0x7fa3f0528e50>\nsections = ''\n\n \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[33m\"\u001b[39;49;00m\u001b[33msections\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, (\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m'\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[33m'\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33mnone\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m-\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m))\u001b[90m\u001b[39;49;00m\n \u001b[94mdef\u001b[39;49;00m \u001b[92mtest_empty_context_sections\u001b[39;49;00m(start_binary, sections):\u001b[90m\u001b[39;49;00m\n start_binary(USE_FDS_BINARY)\u001b[90m\u001b[39;49;00m\n \u001b[90m\u001b[39;49;00m\n \u001b[90m# Sanity check\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n default_ctx_sects = \u001b[33m\"\u001b[39;49;00m\u001b[33mregs disasm code ghidra stack backtrace expressions threads\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n> \u001b[94massert\u001b[39;49;00m pwndbg.gdblib.config.context_sections.value == default_ctx_sects\u001b[90m\u001b[39;49;00m\n\u001b[1m\u001b[31mE AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\u001b[0m\n\u001b[1m\u001b[31mE - regs disasm code ghidra stack backtrace expressions threads\u001b[0m\n\u001b[1m\u001b[31mE + regs disasm code ghidra stack backtrace expressions threads heap-tracker\u001b[0m\n\u001b[1m\u001b[31mE ? +++++++++++++\u001b[0m\n\ndefault_ctx_sects = 'regs disasm code ghidra stack backtrace expressions threads'\nsections = ''\nstart_binary = <function start_binary.<locals>._start_binary at 0x7fa3f0528e50>\n\n\u001b[1m\u001b[31mtests/test_context_commands.py\u001b[0m:85: AssertionError\n\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n\u001b[31mFAILED\u001b[0m tests/test_context_commands.py::\u001b[1mtest_empty_context_sections[]\u001b[0m - AssertionError: assert 'regs disasm code ghidra stack backtrace expressions threads heap-tracker' == 'regs disasm code ghidra stack backtrace expressions threads'\n - regs disasm code ghidra stack backtrace expressions threads\n + regs disasm code ghidra stack backtrace expressions threads heap-tracker\n ? +++++++++++++\n\u001b[31m============================== \u001b[31m\u001b[1m1 failed\u001b[0m\u001b[31m in 0.26s\u001b[0m\u001b[31m ===============================\u001b[0m\n--------------------------------------------------------------------------------\nIf you want to debug tests locally, run ./tests.sh with the --pdb flag\n--------------------------------------------------------------------------------\n\nRunning with coverage\ntest_source_code_tabstop \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_context_disasm_syscalls_args_display \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_context_backtrace_show_proper_symbol_names \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_context_disasm_works_properly_with_disasm_flavor_switch \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_context_disasm_proper_render_on_mem_change_issue_1818[True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_context_disasm_proper_render_on_mem_change_issue_1818[False] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_emulate_disasm \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_cymbol \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params0] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_emulate_disasm_loop \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params1] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params2] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params3] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params4] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params5] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params6] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params7] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params8] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_gdb_parameter_default_value_works[params9] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_typeinfo_go_x64 \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_parsing_info_sharedlibrary_to_find_libc_filename[have-()] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_typeinfo_go_x86 \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_parsing_info_sharedlibrary_to_find_libc_filename[does-not-have-()] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_hexdump \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_hexdump_collapse_lines \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_loads_pure_gdb_without_crashing \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_loads_binary_without_crashing \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_loads_core_without_crashing \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_loads_binary_with_core_without_crashing \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_memory_read_write \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_entry_no_file_loaded \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_list_and_filter_commands_filter \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_list_and_filter_commands_full_list[True-True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_list_and_filter_commands_full_list[False-True] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_list_and_filter_commands_full_list[True-False] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_cannot_run_mmap_when_not_running \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_cannot_run_mprotect_when_not_running \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_mprotect_executes_properly \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_mmap_executes_properly \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[1] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[2] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[3] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[4] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_bytes[5] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_seperator[0] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_seperator[1] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_seperator[2] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_nearpc_opcode_invalid_config \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_symbol_get \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_symbol_duplicated_symbols_issue_1610 \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_windbg_dX_commands \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_triggers \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_windbg_eX_commands \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_windbg_commands_x86 \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_find_fake_fast_command \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_malloc_chunk_command \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_malloc_chunk_command_heuristic \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_main_arena_heuristic \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_mp_heuristic \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_thread_cache_heuristic[single-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_thread_cache_heuristic[multi-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_thread_arena_heuristic[single-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_thread_arena_heuristic[multi-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_global_max_fast_heuristic \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_heuristic_fail_gracefully[single-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_heuristic_fail_gracefully[multi-threaded] \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_heap_bins \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_largebins_size_range_64bit \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_largebins_size_range_32bit_big \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_smallbins_sizes_64bit \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_overflow \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_smallbins_sizes_32bit_big \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_misaligned \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_size_minsize \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_size_misaligned \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free_tcache \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_next_size_fast \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_fastbin_entry \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free_or_corruption_top \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free_or_corruption_out \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_double_free_or_corruption_prev \u001b[32mPASSED\u001b[0m\nRunning with coverage\ntest_try_free_invalid_next_size_normal \u001b[32mPASSED\u001b[0m\ntest_try_free_corrupted_consolidate_backward \u001b[32mPASSED\u001b[0m\ntest_try_free_corrupted_unsorted_chunks \u001b[33mSKIPPED\u001b[0m\ntest_vis_heap_chunk_command \u001b[32mPASSED\u001b[0m\nTests completed in 152 seconds\n\n*******************************\n***** TESTS SUMMARY *****\n*******************************\nTests passed or skipped: 353\nTests failed: 5\n\nFailing tests: tests/test_context_commands.py::test_empty_context_sections[''] tests/test_context_commands.py::test_empty_context_sections[\"\"] tests/test_context_commands.py::test_empty_context_sections[none] tests/test_context_commands.py::test_empty_context_sections[-] tests/test_context_commands.py::test_empty_context_sections[]\n##[error]Process completed with exit code 1.\n" }, { "step_name": "tests (ubuntu-20.04)/6_Run tests.txt", "log": "##[group]Run mkdir .cov\n\u001b[36;1mmkdir .cov\u001b[0m\n\u001b[36;1msudo sysctl -w kernel.yama.ptrace_scope=0\u001b[0m\n\u001b[36;1m./tests.sh --cov\u001b[0m\nshell: /usr/bin/bash -e {0}\n##[endgroup]\nkernel.yama.ptrace_scope = 0\n[+] Building tls.i386.c\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target i386-linux-gnu \\\n-o tls.i386.out tls.i386.c\n[+] Building heap_bugs.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-Wno-int-to-pointer-cast -Wno-int-conversion -Wno-unused-variable \\\n-target native-native-gnu.2.33 \\\n-Wl,-rpath=/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/binaries/glibcs/2.33:\\\n-Wl,--dynamic-linker=/home/runner/work/pwndbg/pwndbg/tests/gdb-tests/tests/binaries/glibcs/2.33/ld-linux-x86-64.so.2 \\\n-o heap_bugs.out heap_bugs.c\n[+] Building 'initialized_heap.out'\n[+] Building 'tabstop.out'\n[+] Building 'search_memory.out'\n[+] Building 'heap_bins.out'\n[+] Building 'div_zero.out'\n[+] Building multiple_threads.out\ngcc -g -O0 -o multiple_threads.out multiple_threads.c -pthread -lpthread\n[+] Building 'telescope_binary.out'\n[+] Building 'reference-binary-net.out'\n[+] Building tls.x86-64.c\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target x86_64-linux-gnu \\\n-o tls.x86-64.out tls.x86-64.c\n[+] Building 'heap_find_fake_fast.out'\n[+] Building 'reference-binary.out'\n[+] Building heap_malloc_chunk.out\ngcc -g -O0 -Wno-nonnull -Wno-unused-result -o heap_malloc_chunk.out heap_malloc_chunk.c -pthread -lpthread\n[+] Building heap_vis.out\ngcc -g -O0 -Wno-nonnull -o heap_vis.out heap_vis.c -pthread -lpthread\n[+] Building 'very_long_symbols.out'\n[+] Building 'linked-lists.out'\n[+] Building 'use-fds.out'\n[+] Building issue_1565.out\ngcc -g -O0 -o issue_1565.out issue_1565.c -pthread -lpthread\n[+] Building 'emulate_disasm.o'\n[+] Linking 'emulate_disasm.out'\n[+] Building 'conditional_branch_breakpoints_x64.o'\n[+] Linking 'conditional_branch_breakpoints_x64.out'\n[+] Building 'memory.o'\n[+] Linking 'memory.out'\n[+] Building 'emulate_disasm_loop.o'\n[+] Linking 'emulate_disasm_loop.out'\n[+] Building 'syscalls-x64.o'\n[+] Linking 'syscalls-x64.out'\n[+] Building 'stepuntilasm_x64.o'\n[+] Linking 'stepuntilasm_x64.out'\n[+] Building 'gosample.x86'\n[+] Building 'gosample.x64'\n[+] Building reference_bin_pie.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc -fpie -o reference_bin_pie.out reference-binary.c\n[+] Building reference_bin_nopie.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc -fno-pie -o reference_bin_nopie.out reference-binary.c\ng++ -O0 -ggdb -Wno-pmf-conversions symbol_1600_and_752.cpp -o symbol_1600_and_752.out\n[+] Building initialized_heap_x64.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target x86_64-linux-gnu \\\n-o initialized_heap_x64.out initialized_heap.c\n[+] Building initialized_heap_i386_big.out\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc \\\n-Wall -DDEBUG=1 -ggdb -O0 -gdwarf-4 \\\n-target i386-linux-gnu \\\n-o initialized_heap_i386_big.out initialized_heap.c\n[+] Building linked-lists.c\n/home/runner/work/pwndbg/pwndbg/.zig/zig cc -fpie -g -o linked_lists.out linked-lists.c\nrm syscalls-x64.o conditional_branch_breakpoints_x64.o emulate_disasm_loop.o emulate_disasm.o stepuntilasm_x64.o memory.o\nWill run codecov\nZIGPATH set to /home/runner/work/pwndbg/pwndbg/.zig\n============================= test session starts ==============================\nplatform linux -- Python 3.8.10, pytest-7.3.1, pluggy-1.3.0\nrootdir: /home/runner/work/pwndbg/pwndbg/tests/gdb-tests\nplugins: cov-4.1.0\ncollected 59 items / 27 errors\n\n<Package tests>\n <Module test_attachp.py>\n <Function test_attachp_command_attaches_to_procname>\n <Function test_attachp_command_attaches_to_pid>\n <Function test_attachp_command_attaches_to_procname_resolve_none>\n <Function test_attachp_command_attaches_to_procname_resolve_none_no_truncate>\n <Function test_attachp_command_attaches_to_procname_resolve_ask>\n <Function test_attachp_command_attaches_to_procname_resolve_oldest>\n <Function test_attachp_command_attaches_to_procname_resolve_newest>\n <Function test_attachp_command_nonexistent_procname>\n <Function test_attachp_command_no_pids>\n <Module test_cache.py>\n <Function test_cache_single_value>\n <Function test_cache_args_kwargs_properly>\n <Module test_command_config.py>\n <Function test_config>\n <Function test_config_filtering>\n <Function test_config_filtering_missing>\n <Module test_command_errno.py>\n <Function test_command_errno>\n <Module test_command_killthreads.py>\n <Function test_command_killthreads_kills_all_threads_except_current>\n <Function test_command_killthreads_kills_specific_thread>\n <Function test_command_killthreads_produces_error_when_unknown_thread_passed>\n <Function test_command_killthreads_before_binary_start>\n <Module test_command_plist.py>\n <Function test_command_plist_flat_no_flags>\n <Function test_command_plist_flat_field>\n <Function test_command_plist_flat_sentinel>\n <Function test_command_plist_nested_direct>\n <Function test_command_plist_nested_indirect>\n <Module test_command_procinfo.py>\n <Function test_command_procinfo>\n <Function test_command_procinfo_before_binary_start>\n <Module test_command_search.py>\n <Function test_command_search_limit>\n <Function test_command_search_alignment>\n <Function test_command_search_step>\n <Function test_command_search_byte_width>\n <Function test_command_search_word_width>\n <Function test_command_search_dword_width>\n <Function test_command_search_qword_width>\n <Function test_command_search_rwx>\n <Module test_commands_elf.py>\n <Function test_commands_plt_gotplt_got_when_no_sections>\n <Function test_command_plt[reference_bin_pie.out-True]>\n <Function test_command_plt[reference_bin_nopie.out-False]>\n <Function test_command_got_for_target_binary[reference_bin_pie.out-True]>\n <Function test_command_got_for_target_binary[reference_bin_nopie.out-False]>\n <Function test_command_got_for_target_binary_and_loaded_library>\n <Module test_emulate.py>\n <Function test_emulate_disasm>\n <Function test_emulate_disasm_loop>\n <Module test_go.py>\n <Function test_typeinfo_go_x64>\n <Function test_typeinfo_go_x86>\n <Module test_loads.py>\n <Function test_loads_pure_gdb_without_crashing>\n <Function test_loads_binary_without_crashing>\n <Function test_loads_binary_with_core_without_crashing>\n <Function test_loads_core_without_crashing>\n <Function test_entry_no_file_loaded>\n <Module test_nearpc.py>\n <Function test_nearpc_opcode_bytes[1]>\n <Function test_nearpc_opcode_bytes[2]>\n <Function test_nearpc_opcode_bytes[3]>\n <Function test_nearpc_opcode_bytes[4]>\n <Function test_nearpc_opcode_bytes[5]>\n <Function test_nearpc_opcode_seperator[0]>\n <Function test_nearpc_opcode_seperator[1]>\n <Function test_nearpc_opcode_seperator[2]>\n <Function test_nearpc_opcode_invalid_config>\n <Module test_triggers.py>\n <Function test_triggers>\n\n==================================== ERRORS ====================================\n________________ ERROR collecting tests/test_command_branch.py _________________\ntests/test_command_branch.py:6: in <module>\n import pwndbg.gdblib\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n________________ ERROR collecting tests/test_command_cyclic.py _________________\ntests/test_command_cyclic.py:6: in <module>\n import pwndbg.gdblib.arch\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n_______________ ERROR collecting tests/test_command_distance.py ________________\ntests/test_command_distance.py:5: in <module>\n import pwndbg.gdblib.regs\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n________________ ERROR collecting tests/test_command_ignore.py _________________\ntests/test_command_ignore.py:5: in <module>\n import pwndbg\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n_____________ ERROR collecting tests/test_command_stepuntilasm.py ______________\ntests/test_command_stepuntilasm.py:5: in <module>\n import pwndbg.gdblib\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n_______________ ERROR collecting tests/test_command_telescope.py _______________\ntests/test_command_telescope.py:7: in <module>\n import pwndbg.gdblib\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n__________________ ERROR collecting tests/test_command_tls.py __________________\ntests/test_command_tls.py:6: in <module>\n import pwndbg.gdblib.tls\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n_________________ ERROR collecting tests/test_command_vmmap.py _________________\ntests/test_command_vmmap.py:8: in <module>\n import pwndbg\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n__________________ ERROR collecting tests/test_command_xor.py __________________\ntests/test_command_xor.py:5: in <module>\n import pwndbg.gdblib.memory\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n___________________ ERROR collecting tests/test_commands.py ____________________\ntests/test_commands.py:10: in <module>\n from pwndbg.commands.shell import pwncmd_names\n../../pwndbg/commands/shell.py:11: in <module>\n import pwndbg.commands\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n_________________ ERROR collecting tests/test_commands_next.py _________________\ntests/test_commands_next.py:6: in <module>\n import pwndbg.gdblib.regs\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n_______________ ERROR collecting tests/test_context_commands.py ________________\ntests/test_context_commands.py:8: in <module>\n import pwndbg.commands\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n____________________ ERROR collecting tests/test_cymbol.py _____________________\ntests/test_cymbol.py:5: in <module>\n import pwndbg.commands.cymbol\n../../pwndbg/commands/cymbol.py:28: in <module>\n import pwndbg\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n_______________ ERROR collecting tests/test_gdblib_parameter.py ________________\ntests/test_gdblib_parameter.py:6: in <module>\n import pwndbg.gdblib.config\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n_____________________ ERROR collecting tests/test_glibc.py _____________________\ntests/test_glibc.py:10: in <module>\n import pwndbg.gdblib.info\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n____________________ ERROR collecting tests/test_hexdump.py ____________________\ntests/test_hexdump.py:6: in <module>\n import pwndbg.gdblib.config\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n____________________ ERROR collecting tests/test_memory.py _____________________\ntests/test_memory.py:3: in <module>\n import pwndbg.gdblib.memory\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n_____________________ ERROR collecting tests/test_misc.py ______________________\ntests/test_misc.py:5: in <module>\n import pwndbg.commands\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n_____________________ ERROR collecting tests/test_mmap.py ______________________\ntests/test_mmap.py:5: in <module>\n import pwndbg\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n___________________ ERROR collecting tests/test_mprotect.py ____________________\ntests/test_mprotect.py:5: in <module>\n import pwndbg\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n____________________ ERROR collecting tests/test_symbol.py _____________________\ntests/test_symbol.py:5: in <module>\n import pwndbg\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n____________________ ERROR collecting tests/test_windbg.py _____________________\ntests/test_windbg.py:5: in <module>\n import pwndbg\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n______________ ERROR collecting tests/heap/test_find_fake_fast.py ______________\ntests/heap/test_find_fake_fast.py:7: in <module>\n import pwndbg\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n___________________ ERROR collecting tests/heap/test_heap.py ___________________\ntests/heap/test_heap.py:6: in <module>\n import pwndbg\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n________________ ERROR collecting tests/heap/test_heap_bins.py _________________\ntests/heap/test_heap_bins.py:6: in <module>\n import pwndbg.gdblib.memory\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n_________________ ERROR collecting tests/heap/test_try_free.py _________________\ntests/heap/test_try_free.py:9: in <module>\n import pwndbg\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n_____________ ERROR collecting tests/heap/test_vis_heap_chunks.py ______________\ntests/heap/test_vis_heap_chunks.py:5: in <module>\n import pwndbg\n../../pwndbg/__init__.py:14: in <module>\n load_commands()\n../../pwndbg/commands/__init__.py:633: in load_commands\n import pwndbg.commands.ai\n../../pwndbg/commands/ai.py:21: in <module>\n from pwndbg.commands import context\n../../pwndbg/commands/context.py:24: in <module>\n import pwndbg.gdblib.heap_tracking\n../../pwndbg/gdblib/heap_tracking.py:88: in <module>\n def resolve_address(name: str) -> int \| None:\nE TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n=========================== short test summary info ============================\nERROR tests/test_command_branch.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_command_cyclic.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_command_distance.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_command_ignore.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_command_stepuntilasm.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_command_telescope.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_command_tls.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_command_vmmap.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_command_xor.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_commands.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_commands_next.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_context_commands.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_cymbol.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_gdblib_parameter.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_glibc.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_hexdump.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_memory.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_misc.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_mmap.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_mprotect.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_symbol.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/test_windbg.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/heap/test_find_fake_fast.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/heap/test_heap.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/heap/test_heap_bins.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/heap/test_try_free.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\nERROR tests/heap/test_vis_heap_chunks.py - TypeError: unsupported operand type(s) for \|: 'type' and 'NoneType'\n!!!!!!!!!!!!!!!!!!! Interrupted: 27 errors during collection !!!!!!!!!!!!!!!!!!!\n==================== 59 tests collected, 27 errors in 1.58s ====================\nFailed to collect all tests, perhaps there is a syntax error in one of test files?\n\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/pwndbg/commands/heap_tracking.py b/pwndbg/commands/heap_tracking.py index 6eb993d8..b1af239a 100644 --- a/pwndbg/commands/heap_tracking.py +++ b/pwndbg/commands/heap_tracking.py @@ -1,3 +1,5 @@ +from __future__ import annotations + import argparse import pwndbg.chain @@ -29,6 +31,7 @@ parser.add_argument( @pwndbg.commands.ArgparsedCommand(parser, command_name="enable-heap-tracker") [email protected] def enable_tracker(use_hardware_breakpoints=False) -> None: pwndbg.gdblib.heap_tracking.install() @@ -37,14 +40,18 @@ parser = argparse.ArgumentParser(description="Disables the heap tracker.") @pwndbg.commands.ArgparsedCommand(parser, command_name="disable-heap-tracker") [email protected] def disable_tracker() -> None: pwndbg.gdblib.heap_tracking.uninstall() -parser = argparse.ArgumentParser(description="Toggles whether possible UAF conditions will pause execution.") +parser = argparse.ArgumentParser( + description="Toggles whether possible UAF conditions will pause execution." +) @pwndbg.commands.ArgparsedCommand(parser, command_name="toggle-heap-tracker-break") [email protected] def toggle_tracker_break() -> None: pwndbg.gdblib.heap_tracking.stop_on_error = not pwndbg.gdblib.heap_tracking.stop_on_error if pwndbg.gdblib.heap_tracking.stop_on_error: diff --git a/pwndbg/gdblib/heap_tracking.py b/pwndbg/gdblib/heap_tracking.py index 915046dc..5b763aff 100644 --- a/pwndbg/gdblib/heap_tracking.py +++ b/pwndbg/gdblib/heap_tracking.py @@ -47,7 +47,8 @@ that were not made explicit. """ -import itertools +from __future__ import annotations + import gdb from sortedcontainers import SortedDict @@ -65,6 +66,7 @@ last_issue = None # Useful to track possbile collision errors. PRINT_DEBUG = False + def is_enabled() -> bool: """ Whether the heap tracker in enabled. @@ -79,19 +81,21 @@ def is_enabled() -> bool: return any(installed) + def _basename(val): """ Returns the last component of a path. """ val.split("/")[-1] + def resolve_address(name: str) -> int \| None: """ Checks whether a given symbol is available and part of libc, and returns its address. """ # If that fails, try to query for it by using the less precise pwndbg API. - address = pwndbg.gdblib.symbol.address(name) + address = pwndbg.gdblib.symbol.address(name) if not address: # Nothing that we can do here. return None @@ -109,11 +113,16 @@ def resolve_address(name: str) -> int \| None: info = gdb.execute(f"info symbol {address:#x}", to_string=True, from_tty=False) info = info.split(" of ")[-1].split("/")[-1] if not info or LIBC_NAME not in info: - print(message.warn(f"Instance of symbol {name} that was found does not seem to belong to an instance of libc whose name is in the form {LIBC_NAME}. Refusing to use.")) + print( + message.warn( + f'Found "{name}" that does not seem to belong to {LIBC_NAME}. Refusing to use.' + ) + ) return None - + return address + class FreeChunkWatchpoint(gdb.Breakpoint): def __init__(self, chunk, tracker): self.chunk = chunk @@ -140,7 +149,9 @@ class FreeChunkWatchpoint(gdb.Breakpoint): # We explicitly allow this operation. return False - print(f"[!] Possible use-after-free in {self.chunk.size}-byte chunk at address {self.chunk.address:#x}") + print( + f"[!] Possible use-after-free in {self.chunk.size}-byte chunk at address {self.chunk.address:#x}" + ) global stop_on_error if stop_on_error: @@ -497,7 +508,7 @@ class FreeExitBreakpoint(gdb.FinishBreakpoint): if not self.tracker.free(self.ptr): # This is a chunk we'd never seen before. self.tracker.exit_memory_management() - + print(f"[!] free() with previously unknown pointer {self.freed_ptr:#x}") global stop_on_error return stop_on_error @@ -535,6 +546,7 @@ free_enter = None # Whether the inferior should be stopped when an error is detected. stop_on_error = True + def install(disable_hardware_whatchpoints=True): global malloc_enter global calloc_enter @@ -553,6 +565,7 @@ def install(disable_hardware_whatchpoints=True): print(message.error("The following required symbols are not available:")) for name in (x[0] for x in zip(required_symbols, available) if not x[1]): print(message.error(f" - {name}")) + print(message.error(f"Make sure {LIBC_NAME} has already been loaded.")) return diff --git a/tests/gdb-tests/tests/test_context_commands.py b/tests/gdb-tests/tests/test_context_commands.py index c1997971..8620b3f2 100644 --- a/tests/gdb-tests/tests/test_context_commands.py +++ b/tests/gdb-tests/tests/test_context_commands.py @@ -81,7 +81,7 @@ def test_empty_context_sections(start_binary, sections): start_binary(USE_FDS_BINARY) # Sanity check - default_ctx_sects = "regs disasm code ghidra stack backtrace expressions threads" + default_ctx_sects = "regs disasm code ghidra stack backtrace expressions threads heap-tracker" assert pwndbg.gdblib.config.context_sections.value == default_ctx_sects assert gdb.execute("context", to_string=True) != ""	2	[ "pwndbg/commands/heap_tracking.py", "pwndbg/gdblib/heap_tracking.py", "tests/gdb-tests/tests/test_context_commands.py" ]	https://github.com/pwndbg/pwndbg/tree/f2f8b63c3d579f9e8f1d4319592e44e39591ee38	2024-01-03T23:05:52Z
Python	169	pylint-dev	pylint	nested-min-max-matrix	Checks	checks.yaml	.github/workflows/checks.yaml	udifuchs	fc6215f93ad9e2be8a32dc18b75a3f5bf6381a16	f9dc6c814fa1fae3ef9f68b3e906a550e27238b2	name: Checks on: push: branches: - main - "maintenance/" pull_request: branches: - main - "maintenance/" env: CACHE_VERSION: '1' DEFAULT_PYTHON: '3.11' KEY_PREFIX: base-venv PIP_INDEX_URL: http://localhost:8629/2023-12-24 PRE_COMMIT_CACHE: ~/.cache/pre-commit UV_INDEX_URL: http://localhost:8629/2023-12-24 concurrency: group: ${{ github.workflow }}-${{ github.event.pull_request.number \|\| github.ref }} cancel-in-progress: true permissions: contents: read jobs: prepare-base: name: Prepare base dependencies runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 timeout-minutes: 10 outputs: python-key: ${{ steps.generate-python-key.outputs.key }} pre-commit-key: ${{ steps.generate-pre-commit-key.outputs.key }} steps: - name: Check out code from GitHub uses: actions/[email protected] - name: Set up Python ${{ env.DEFAULT_PYTHON }} id: python uses: actions/[email protected] with: python-version: ${{ env.DEFAULT_PYTHON }} check-latest: true - name: Generate partial Python venv restore key id: generate-python-key run: >- echo "key=${{ env.KEY_PREFIX }}-${{ env.CACHE_VERSION }}-${{ hashFiles('pyproject.toml', 'requirements_test.txt', 'requirements_test_min.txt', 'requirements_test_pre_commit.txt') }}" >> $GITHUB_OUTPUT - name: Restore Python virtual environment id: cache-venv uses: actions/[email protected] with: path: venv key: >- ${{ runner.os }}-${{ steps.python.outputs.python-version }}-${{ steps.generate-python-key.outputs.key }} - name: Create Python virtual environment if: steps.cache-venv.outputs.cache-hit != 'true' run: \| python -m venv venv . venv/bin/activate python -m pip install -U pip setuptools wheel pip install -U -r requirements_test.txt pip install -U -r doc/requirements.txt pip install pre-commit - name: Generate pre-commit restore key id: generate-pre-commit-key run: >- echo "key=pre-commit-${{ env.CACHE_VERSION }}-${{ hashFiles('.pre-commit-config.yaml') }}" >> $GITHUB_OUTPUT - name: Restore pre-commit environment id: cache-precommit uses: actions/[email protected] with: path: ${{ env.PRE_COMMIT_CACHE }} key: >- ${{ runner.os }}-${{ steps.generate-pre-commit-key.outputs.key }} - name: Install pre-commit dependencies if: steps.cache-precommit.outputs.cache-hit != 'true' run: \| . venv/bin/activate pre-commit install --install-hooks pylint: name: pylint runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 timeout-minutes: 10 needs: prepare-base steps: - name: Check out code from GitHub uses: actions/[email protected] - name: Set up Python ${{ env.DEFAULT_PYTHON }} id: python uses: actions/[email protected] with: python-version: ${{ env.DEFAULT_PYTHON }} check-latest: true - name: Restore Python virtual environment id: cache-venv uses: actions/[email protected] with: path: venv fail-on-cache-miss: true key: ${{ runner.os }}-${{ steps.python.outputs.python-version }}-${{ needs.prepare-base.outputs.python-key }} - name: Restore pre-commit environment id: cache-precommit uses: actions/[email protected] with: path: ${{ env.PRE_COMMIT_CACHE }} fail-on-cache-miss: true key: ${{ runner.os }}-${{ needs.prepare-base.outputs.pre-commit-key }} - name: Install enchant and aspell run: \| sudo apt-get update sudo apt-get install enchant-2 aspell-en - name: Run pylint checks run: \| . venv/bin/activate pip install . pip list \| grep 'astroid\\|pylint' pre-commit run --hook-stage manual pylint-with-spelling --all-files spelling: name: spelling tests runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 timeout-minutes: 5 needs: prepare-base steps: - name: Check out code from GitHub uses: actions/[email protected] - name: Set up Python ${{ env.DEFAULT_PYTHON }} id: python uses: actions/[email protected] with: python-version: ${{ env.DEFAULT_PYTHON }} check-latest: true - name: Restore Python virtual environment id: cache-venv uses: actions/[email protected] with: path: venv fail-on-cache-miss: true key: ${{ runner.os }}-${{ steps.python.outputs.python-version }}-${{ needs.prepare-base.outputs.python-key }} - name: Run spelling checks run: \| . venv/bin/activate pytest tests/ -k unittest_spelling documentation: name: documentation runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 timeout-minutes: 20 needs: prepare-base steps: - name: Check out code from GitHub uses: actions/[email protected] - name: Set up Python ${{ env.DEFAULT_PYTHON }} id: python uses: actions/[email protected] with: python-version: ${{ env.DEFAULT_PYTHON }} check-latest: true - name: Restore Python virtual environment id: cache-venv uses: actions/[email protected] with: path: venv fail-on-cache-miss: true key: ${{ runner.os }}-${{ steps.python.outputs.python-version }}-${{ needs.prepare-base.outputs.python-key }} - name: Run checks on documentation code examples run: \| . venv/bin/activate tox -e test_doc - name: Check documentation build and links run: \| . venv/bin/activate cd doc pre-commit run --hook-stage push sphinx-generated-doc --all-files \|\| { git diff ; \ echo "Make sure that there are no modifications locally when launching 'make html'" ; \ exit 1; \ }	[ { "step_name": "pylint/7_Run pylint checks.txt", "log": "##[group]Run . venv/bin/activate\n\u001b[36;1m. venv/bin/activate\u001b[0m\n\u001b[36;1mpip install .\u001b[0m\n\u001b[36;1mpip list \| grep 'astroid\\\|pylint'\u001b[0m\n\u001b[36;1mpre-commit run --hook-stage manual pylint-with-spelling --all-files\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n CACHE_VERSION: 1\n KEY_PREFIX: base-venv\n DEFAULT_PYTHON: 3.11\n PRE_COMMIT_CACHE: ~/.cache/pre-commit\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\nProcessing /home/runner/work/pylint/pylint\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Installing backend dependencies: started\n Installing backend dependencies: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nRequirement already satisfied: platformdirs>=2.2.0 in ./venv/lib/python3.11/site-packages (from pylint==3.1.0.dev0) (4.1.0)\nRequirement already satisfied: astroid<=3.1.0-dev0,>=3.0.2 in ./venv/lib/python3.11/site-packages (from pylint==3.1.0.dev0) (3.0.2)\nRequirement already satisfied: isort!=5.13.0,<6,>=4.2.5 in ./venv/lib/python3.11/site-packages (from pylint==3.1.0.dev0) (5.13.1)\nRequirement already satisfied: mccabe<0.8,>=0.6 in ./venv/lib/python3.11/site-packages (from pylint==3.1.0.dev0) (0.7.0)\nRequirement already satisfied: tomlkit>=0.10.1 in ./venv/lib/python3.11/site-packages (from pylint==3.1.0.dev0) (0.11.8)\nRequirement already satisfied: dill>=0.3.6 in ./venv/lib/python3.11/site-packages (from pylint==3.1.0.dev0) (0.3.7)\nBuilding wheels for collected packages: pylint\n Building wheel for pylint (pyproject.toml): started\n Building wheel for pylint (pyproject.toml): finished with status 'done'\n Created wheel for pylint: filename=pylint-3.1.0.dev0-py3-none-any.whl size=514430 sha256=db7e3c76f36ec30e4e1c43c9ae58874e22c3211dc22bb045beaded567449b492\n Stored in directory: /tmp/pip-ephem-wheel-cache-libboaxs/wheels/28/6f/a2/f1ddc6eb86131657c068cb2bffe5fc77d929f0c0dfdc66abfb\nSuccessfully built pylint\nInstalling collected packages: pylint\n Attempting uninstall: pylint\n Found existing installation: pylint 3.1.0.dev0\n Uninstalling pylint-3.1.0.dev0:\n Successfully uninstalled pylint-3.1.0.dev0\nSuccessfully installed pylint-3.1.0.dev0\n\n[notice] A new release of pip is available: 23.3.1 -> 23.3.2\n[notice] To update, run: pip install --upgrade pip\n\n[notice] A new release of pip is available: 23.3.1 -> 23.3.2\n[notice] To update, run: pip install --upgrade pip\nastroid 3.0.2\npylint 3.1.0.dev0\npylint...................................................................Failed\n- hook id: pylint\n- exit code: 16\n\n************* Module pylint.checkers.nested_min_max\npylint/checkers/nested_min_max.py:70:0: C0401: Wrong spelling of a word 'redunant' in a comment:\n# Meaning, redunant call only if parent max call has more than 1 arg.\n ^^^^^^^^\nDid you mean: ''redundant' or 'redundancy''? (wrong-spelling-in-comment)\n\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/pylint/checkers/nested_min_max.py b/pylint/checkers/nested_min_max.py index ccee2e68e..c8231fe7d 100644 --- a/pylint/checkers/nested_min_max.py +++ b/pylint/checkers/nested_min_max.py @@ -67,7 +67,7 @@ class NestedMinMaxChecker(BaseChecker): and arg.func.name == node.func.name # Nesting is useful for finding the maximum in a matrix. # Allow: max(max([[1, 2, 3], [4, 5, 6]])) - # Meaning, redunant call only if parent max call has more than 1 arg. + # Meaning, redundant call only if parent max call has more than 1 arg. and len(arg.parent.args) > 1 ) ]	0	[ "pylint/checkers/nested_min_max.py" ]	https://github.com/pylint-dev/pylint/tree/fc6215f93ad9e2be8a32dc18b75a3f5bf6381a16	2023-12-24T05:47:20Z
Python	180	errbotio	errbot	fix/tests	Python package	python-package.yml	.github/workflows/python-package.yml	sijis	a14be35a9de01a87991618a5dbd6b96470d0f799	6b0e6cdab6d1fe6349eb5701d950f7dba870b103	# This workflow will install Python dependencies, run tests and lint with a variety of Python versions # For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions name: Python package on: push: branches: [ master ] pull_request: branches: [ master ] permissions: contents: read jobs: build: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: fail-fast: false matrix: python-version: [3.8, 3.9, "3.10"] steps: - uses: actions/[email protected] - name: Set up Python ${{ matrix.python-version }} uses: actions/[email protected] with: python-version: ${{ matrix.python-version }} - name: Install dependencies run: \| python -m pip install --upgrade pip pip install \ pytest \ tox cp tests/config-ci.py config.py - name: Test on ${{ matrix.python-version }} run: \| tox -e py - name: Check Distribution if: ${{ matrix.python-version == '3.9' }} run: \| tox -e dist-check - name: Codestyle if: ${{ matrix.python-version == '3.9' }} run: \| tox -e codestyle - name: Lint - sort if: ${{ matrix.python-version == '3.9' }} run: \| tox -e sort - name: Security if: ${{ matrix.python-version == '3.9' }} run: \| tox -e security - name: Docs if: ${{ matrix.python-version == '3.9' }} run: \| tox -e docs env: PIP_INDEX_URL: http://localhost:8629/2023-10-30 UV_INDEX_URL: http://localhost:8629/2023-10-30	[ { "step_name": "build (3.9)/7_Codestyle.txt", "log": "##[group]Run tox -e codestyle\n\u001b[36;1mtox -e codestyle\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n.pkg: remove tox env folder /home/runner/work/errbot/errbot/.tox/.pkg\ncodestyle: install_deps> python -I -m pip install black\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: freeze> python -m pip freeze --all\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\ncodestyle: install_package_deps> python -I -m pip install Pygments==2.16.1 ansi==0.3.6 colorlog==6.7.0 'daemonize==2.5.0; sys_platform != \"win32\"' deepmerge==1.1.0 dulwich==0.21.5 flask==2.3.3 jinja2==3.1.2 markdown==3.4.4 pyOpenSSL==23.2.0 pygments-markdown-lexer==0.1.0.dev39 requests==2.31.0 setuptools==68.1.2 webtest==3.0.0\ncodestyle: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/errbot/errbot/.tox/.tmp/package/3/errbot-9.9.9.tar.gz\ncodestyle: freeze> python -m pip freeze --all\ncodestyle: ansi==0.3.6,beautifulsoup4==4.12.2,black==23.10.1,blinker==1.6.3,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.1,click==8.1.7,colorlog==6.7.0,cryptography==41.0.5,daemonize==2.5.0,deepmerge==1.1.0,dulwich==0.21.5,errbot @ file:///home/runner/work/errbot/errbot/.tox/.tmp/package/3/errbot-9.9.9.tar.gz#sha256=596448edc7b2f358f3344839c159709534d1380fdf40473638b51d2f08692cb6,Flask==2.3.3,idna==3.4,importlib-metadata==6.8.0,itsdangerous==2.1.2,Jinja2==3.1.2,Markdown==3.4.4,MarkupSafe==2.1.3,mypy-extensions==1.0.0,packaging==23.2,pathspec==0.11.2,pip==23.3.1,platformdirs==3.11.0,pycparser==2.21,Pygments==2.16.1,pygments-markdown-lexer==0.1.0.dev39,pyOpenSSL==23.2.0,requests==2.31.0,setuptools==68.1.2,soupsieve==2.5,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.0.7,waitress==2.1.2,WebOb==1.8.7,WebTest==3.0.0,Werkzeug==3.0.1,wheel==0.41.2,zipp==3.17.0\ncodestyle: commands[0]> black --check errbot/ tests/ tools/\nwould reformat /home/runner/work/errbot/errbot/errbot/core_plugins/vcheck.py\n\nOh no! 💥 💔 💥\n1 file would be reformatted, 121 files would be left unchanged.\ncodestyle: exit 1 (1.65 seconds) /home/runner/work/errbot/errbot> black --check errbot/ tests/ tools/ pid=6313\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n codestyle: FAIL code 1 (17.08=setup[15.43]+cmd[1.65] seconds)\n evaluation failed :( (17.16 seconds)\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/errbot/core_plugins/vcheck.py b/errbot/core_plugins/vcheck.py index 556ea235..ef0f2c0a 100644 --- a/errbot/core_plugins/vcheck.py +++ b/errbot/core_plugins/vcheck.py @@ -47,9 +47,7 @@ class VersionChecker(BotPlugin): # noinspection PyBroadException try: possible_versions = requests.get(HOME).json() - version = possible_versions.get( - f"python{major_py_version}", VERSION - ) + version = possible_versions.get(f"python{major_py_version}", VERSION) self.log.debug("Latest Errbot version is: %s", version) except (HTTPError, URLError, ConnectionError, JSONDecodeError): self.log.info("Could not establish connection to retrieve latest version.")	0	[ "errbot/core_plugins/vcheck.py" ]	https://github.com/errbotio/errbot/tree/a14be35a9de01a87991618a5dbd6b96470d0f799	2023-10-30T03:42:53Z
Python	181	errbotio	errbot	fix/tests	Python package	python-package.yml	.github/workflows/python-package.yml	sijis	8a04007d606de7a355f904407294f8ad5d2b7374	eff39e7253f81de6a003dcd50a0098549d731bea	# This workflow will install Python dependencies, run tests and lint with a variety of Python versions # For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions name: Python package on: push: branches: [ master ] pull_request: branches: [ master ] permissions: contents: read jobs: build: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: fail-fast: false matrix: python-version: [3.8, 3.9, "3.10"] steps: - uses: actions/[email protected] - name: Set up Python ${{ matrix.python-version }} uses: actions/[email protected] with: python-version: ${{ matrix.python-version }} - name: Install dependencies run: \| python -m pip install --upgrade pip pip install \ pytest \ tox cp tests/config-ci.py config.py - name: Test on ${{ matrix.python-version }} run: \| tox -e py - name: Check Distribution if: ${{ matrix.python-version == '3.9' }} run: \| tox -e dist-check - name: Codestyle if: ${{ matrix.python-version == '3.9' }} run: \| tox -e codestyle - name: Lint - sort if: ${{ matrix.python-version == '3.9' }} run: \| tox -e sort - name: Security if: ${{ matrix.python-version == '3.9' }} run: \| tox -e security - name: Docs if: ${{ matrix.python-version == '3.9' }} run: \| tox -e docs env: PIP_INDEX_URL: http://localhost:8629/2023-10-29 UV_INDEX_URL: http://localhost:8629/2023-10-29	[ { "step_name": "build (3.9)/7_Codestyle.txt", "log": "##[group]Run tox -e codestyle\n\u001b[36;1mtox -e codestyle\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\n.pkg: remove tox env folder /home/runner/work/errbot/errbot/.tox/.pkg\ncodestyle: install_deps> python -I -m pip install black\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: install_requires_for_build_wheel> python -I -m pip install wheel\n.pkg: freeze> python -m pip freeze --all\n.pkg: pip==23.3.1,setuptools==68.2.2,wheel==0.41.2\n.pkg: prepare_metadata_for_build_wheel> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: build_sdist> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\ncodestyle: install_package_deps> python -I -m pip install Pygments==2.16.1 ansi==0.3.6 colorlog==6.7.0 'daemonize==2.5.0; sys_platform != \"win32\"' deepmerge==1.1.0 dulwich==0.21.5 flask==2.3.3 jinja2==3.1.2 markdown==3.4.4 pyOpenSSL==23.2.0 pygments-markdown-lexer==0.1.0.dev39 requests==2.31.0 setuptools==68.1.2 webtest==3.0.0\ncodestyle: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/errbot/errbot/.tox/.tmp/package/3/errbot-9.9.9.tar.gz\ncodestyle: freeze> python -m pip freeze --all\ncodestyle: ansi==0.3.6,beautifulsoup4==4.12.2,black==23.10.1,blinker==1.6.3,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.1,click==8.1.7,colorlog==6.7.0,cryptography==41.0.5,daemonize==2.5.0,deepmerge==1.1.0,dulwich==0.21.5,errbot @ file:///home/runner/work/errbot/errbot/.tox/.tmp/package/3/errbot-9.9.9.tar.gz#sha256=d1ac3c921eccb0f6c34ad89aed7603912fb044ea73de1fc4ef41c99fa4b372e3,Flask==2.3.3,idna==3.4,importlib-metadata==6.8.0,itsdangerous==2.1.2,Jinja2==3.1.2,Markdown==3.4.4,MarkupSafe==2.1.3,mypy-extensions==1.0.0,packaging==23.2,pathspec==0.11.2,pip==23.3.1,platformdirs==3.11.0,pycparser==2.21,Pygments==2.16.1,pygments-markdown-lexer==0.1.0.dev39,pyOpenSSL==23.2.0,requests==2.31.0,setuptools==68.1.2,soupsieve==2.5,tomli==2.0.1,typing_extensions==4.8.0,urllib3==2.0.7,waitress==2.1.2,WebOb==1.8.7,WebTest==3.0.0,Werkzeug==3.0.1,wheel==0.41.2,zipp==3.17.0\ncodestyle: commands[0]> black --check errbot/ tests/ tools/\nwould reformat /home/runner/work/errbot/errbot/tests/commands_test.py\n\nOh no! 💥 💔 💥\n1 file would be reformatted, 121 files would be left unchanged.\ncodestyle: exit 1 (1.71 seconds) /home/runner/work/errbot/errbot> black --check errbot/ tests/ tools/ pid=6265\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n codestyle: FAIL code 1 (17.25=setup[15.55]+cmd[1.71] seconds)\n evaluation failed :( (17.34 seconds)\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/tests/base_backend_test.py b/tests/base_backend_test.py index dadc6114..5406356d 100644 --- a/tests/base_backend_test.py +++ b/tests/base_backend_test.py @@ -1003,9 +1003,9 @@ def test_access_controls(dummy_backend): dummy_backend.bot_config.ACCESS_CONTROLS = test.get("acl", {}) dummy_backend.bot_config.BOT_ADMINS = test.get("bot_admins", ()) logger = logging.getLogger(__name__) - logger.info(" message: {}".format(test["message"].body)) - logger.info(" bot_admins: {}".format(dummy_backend.bot_config.BOT_ADMINS)) - logger.info(" acl: {!r}".format(dummy_backend.bot_config.ACCESS_CONTROLS)) + logger.info(f" message: {test['message'].body}") + logger.info(f" bot_admins: {dummy_backend.bot_config.BOT_ADMINS}") + logger.info(f" acl: {dummy_backend.bot_config.ACCESS_CONTROLS}") logger.info( "** acl_default: {!r}".format( dummy_backend.bot_config.ACCESS_CONTROLS_DEFAULT diff --git a/tests/commandnotfound_plugin/commandnotfound.py b/tests/commandnotfound_plugin/commandnotfound.py index 3fe7e115..4a248579 100644 --- a/tests/commandnotfound_plugin/commandnotfound.py +++ b/tests/commandnotfound_plugin/commandnotfound.py @@ -7,4 +7,4 @@ class TestCommandNotFoundFilter(BotPlugin): if not emptycmd: return msg, cmd, args - return "Command fell through: {}".format(msg) + return f"Command fell through: {msg}" diff --git a/tests/commands_test.py b/tests/commands_test.py index cdbfa212..8d33df57 100644 --- a/tests/commands_test.py +++ b/tests/commands_test.py @@ -112,10 +112,7 @@ def test_plugin_cycle(testbot): ] for plugin in plugins: - testbot.assertInCommand( - f"!repos install {plugin}", - f"Installing {plugin}..." - ), + testbot.assertInCommand(f"!repos install {plugin}", f"Installing {plugin}..."), assert ( "A new plugin repository has been installed correctly from errbotio/err-helloworld" in testbot.pop_message(timeout=60) diff --git a/tests/room_plugin/roomtest.py b/tests/room_plugin/roomtest.py index 4571624d..fbf87b48 100644 --- a/tests/room_plugin/roomtest.py +++ b/tests/room_plugin/roomtest.py @@ -13,13 +13,13 @@ class RoomTest(BotPlugin): def callback_room_joined(self, room, user, invited_by): log.info("join") - self.events.put("callback_room_joined {!s}".format(room)) + self.events.put(f"callback_room_joined {room}") def callback_room_left(self, room, user, kicked_by): - self.events.put("callback_room_left {!s}".format(room)) + self.events.put(f"callback_room_left {room}") def callback_room_topic(self, room): - self.events.put("callback_room_topic {}".format(room.topic)) + self.events.put(f"callback_room_topic {room.topic}") def purge(self): log.info("purge")	0	[ "tests/base_backend_test.py", "tests/commandnotfound_plugin/commandnotfound.py", "tests/commands_test.py", "tests/room_plugin/roomtest.py" ]	https://github.com/errbotio/errbot/tree/8a04007d606de7a355f904407294f8ad5d2b7374	2023-10-29T06:35:33Z
Python	188	openvinotoolkit	open_model_zoo	fix-precommit	github-actions	accuracy_checker.yml	.github/workflows/accuracy_checker.yml	Wovchena	ce191b811e255722bfb4f5c2c7c30bcb7a4a3d59	1fccafa2c313ef5e643b133062f43f02a6f7d56d	name: github-actions on: pull_request jobs: accuracy_checker: strategy: matrix: runs-on: [ubuntu-20.04, ubuntu-22.04] python-version: [3.8, 3.9, '3.10'] runs-on: ${{ matrix.runs-on }} services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: Pip install dependencies run: \| python -m pip install --upgrade pip python -m pip install tools/accuracy_checker openvino -r tools/accuracy_checker/requirements-test.in - name: python -m pytest tools/accuracy_checker run: \| python -m pytest tools/accuracy_checker - name: Pip install and run pylint working-directory: ./tools/accuracy_checker run: \| python -m pip install pylint==2.10.2 PYTHONPATH=. python -m pylint --rcfile=.pylintrc `find -wholename '?//.py' -not -path "./tests/" -not -path "./build/"` env: PIP_INDEX_URL: http://localhost:8629/2023-12-01 UV_INDEX_URL: http://localhost:8629/2023-12-01	[ { "step_name": "accuracy_checker (ubuntu-20.04, 3.8)/6_Pip install and run pylint.txt", "log": "##[group]Run python -m pip install pylint==2.10.2\n\u001b[36;1mpython -m pip install pylint==2.10.2\u001b[0m\n\u001b[36;1mPYTHONPATH=. python -m pylint --rcfile=.pylintrc `find -wholename '?//.py' -not -path \"./tests/\" -not -path \"./build/\"`\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nCollecting pylint==2.10.2\n Downloading pylint-2.10.2-py3-none-any.whl (392 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 392.6/392.6 kB 19.2 MB/s eta 0:00:00\nCollecting platformdirs>=2.2.0 (from pylint==2.10.2)\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting astroid<2.8,>=2.7.2 (from pylint==2.10.2)\n Downloading astroid-2.7.3-py3-none-any.whl (240 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 240.6/240.6 kB 64.6 MB/s eta 0:00:00\nCollecting isort<6,>=4.2.5 (from pylint==2.10.2)\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 91.2/91.2 kB 25.6 MB/s eta 0:00:00\nCollecting mccabe<0.7,>=0.6 (from pylint==2.10.2)\n Downloading mccabe-0.6.1-py2.py3-none-any.whl (8.6 kB)\nCollecting toml>=0.7.1 (from pylint==2.10.2)\n Downloading toml-0.10.2-py2.py3-none-any.whl (16 kB)\nCollecting lazy-object-proxy>=1.4.0 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading lazy_object_proxy-1.9.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 61.4/61.4 kB 20.7 MB/s eta 0:00:00\nCollecting wrapt<1.13,>=1.11 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading wrapt-1.12.1.tar.gz (27 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nRequirement already satisfied: setuptools>=20.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from astroid<2.8,>=2.7.2->pylint==2.10.2) (56.0.0)\nDownloading platformdirs-4.0.0-py3-none-any.whl (17 kB)\nBuilding wheels for collected packages: wrapt\n Building wheel for wrapt (pyproject.toml): started\n Building wheel for wrapt (pyproject.toml): finished with status 'done'\n Created wheel for wrapt: filename=wrapt-1.12.1-cp38-cp38-linux_x86_64.whl size=81817 sha256=0d2f7ce2acfe89647417e5b6d46431bdd5fe4f7785c9c4c66088cee9a215b16b\n Stored in directory: /home/runner/.cache/pip/wheels/5f/fd/9e/b6cf5890494cb8ef0b5eaff72e5d55a70fb56316007d6dfe73\nSuccessfully built wrapt\nInstalling collected packages: wrapt, mccabe, toml, platformdirs, lazy-object-proxy, isort, astroid, pylint\nSuccessfully installed astroid-2.7.3 isort-5.12.0 lazy-object-proxy-1.9.0 mccabe-0.6.1 platformdirs-4.0.0 pylint-2.10.2 toml-0.10.2 wrapt-1.12.1\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n************* Module openvino.tools.accuracy_checker.annotation_converters.amazon\nopenvino/tools/accuracy_checker/annotation_converters/amazon.py:42:0: C0301: Line too long (125/120) (line-too-long)\n\n------------------------------------\nYour code has been rated at 10.00/10\n\n##[error]Process completed with exit code 16.\n" }, { "step_name": "accuracy_checker (ubuntu-20.04, 3.9)/6_Pip install and run pylint.txt", "log": "##[group]Run python -m pip install pylint==2.10.2\n\u001b[36;1mpython -m pip install pylint==2.10.2\u001b[0m\n\u001b[36;1mPYTHONPATH=. python -m pylint --rcfile=.pylintrc `find -wholename '?//.py' -not -path \"./tests/\" -not -path \"./build/\"`\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nCollecting pylint==2.10.2\n Downloading pylint-2.10.2-py3-none-any.whl (392 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 392.6/392.6 kB 13.6 MB/s eta 0:00:00\nCollecting platformdirs>=2.2.0 (from pylint==2.10.2)\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting astroid<2.8,>=2.7.2 (from pylint==2.10.2)\n Downloading astroid-2.7.3-py3-none-any.whl (240 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 240.6/240.6 kB 53.7 MB/s eta 0:00:00\nCollecting isort<6,>=4.2.5 (from pylint==2.10.2)\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 91.2/91.2 kB 31.0 MB/s eta 0:00:00\nCollecting mccabe<0.7,>=0.6 (from pylint==2.10.2)\n Downloading mccabe-0.6.1-py2.py3-none-any.whl (8.6 kB)\nCollecting toml>=0.7.1 (from pylint==2.10.2)\n Downloading toml-0.10.2-py2.py3-none-any.whl (16 kB)\nCollecting lazy-object-proxy>=1.4.0 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading lazy_object_proxy-1.9.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (62 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.1/62.1 kB 17.7 MB/s eta 0:00:00\nCollecting wrapt<1.13,>=1.11 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading wrapt-1.12.1.tar.gz (27 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nRequirement already satisfied: setuptools>=20.0 in /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages (from astroid<2.8,>=2.7.2->pylint==2.10.2) (58.1.0)\nDownloading platformdirs-4.0.0-py3-none-any.whl (17 kB)\nBuilding wheels for collected packages: wrapt\n Building wheel for wrapt (pyproject.toml): started\n Building wheel for wrapt (pyproject.toml): finished with status 'done'\n Created wheel for wrapt: filename=wrapt-1.12.1-cp39-cp39-linux_x86_64.whl size=78685 sha256=2bfe17643bf743288c878c4d98ddc17e5aa38ef087a954791dd50071914a215c\n Stored in directory: /home/runner/.cache/pip/wheels/98/23/68/efe259aaca055e93b08e74fbe512819c69a2155c11ba3c0f10\nSuccessfully built wrapt\nInstalling collected packages: wrapt, mccabe, toml, platformdirs, lazy-object-proxy, isort, astroid, pylint\nSuccessfully installed astroid-2.7.3 isort-5.12.0 lazy-object-proxy-1.9.0 mccabe-0.6.1 platformdirs-4.0.0 pylint-2.10.2 toml-0.10.2 wrapt-1.12.1\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n************* Module openvino.tools.accuracy_checker.annotation_converters.amazon\nopenvino/tools/accuracy_checker/annotation_converters/amazon.py:42:0: C0301: Line too long (125/120) (line-too-long)\n\n------------------------------------\nYour code has been rated at 10.00/10\n\n##[error]Process completed with exit code 16.\n" }, { "step_name": "accuracy_checker (ubuntu-20.04, 3.10)/6_Pip install and run pylint.txt", "log": "##[group]Run python -m pip install pylint==2.10.2\n\u001b[36;1mpython -m pip install pylint==2.10.2\u001b[0m\n\u001b[36;1mPYTHONPATH=. python -m pylint --rcfile=.pylintrc `find -wholename '?//.py' -not -path \"./tests/\" -not -path \"./build/\"`\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\nCollecting pylint==2.10.2\n Downloading pylint-2.10.2-py3-none-any.whl (392 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 392.6/392.6 kB 6.0 MB/s eta 0:00:00\nCollecting platformdirs>=2.2.0 (from pylint==2.10.2)\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting astroid<2.8,>=2.7.2 (from pylint==2.10.2)\n Downloading astroid-2.7.3-py3-none-any.whl (240 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 240.6/240.6 kB 42.6 MB/s eta 0:00:00\nCollecting isort<6,>=4.2.5 (from pylint==2.10.2)\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 91.2/91.2 kB 25.8 MB/s eta 0:00:00\nCollecting mccabe<0.7,>=0.6 (from pylint==2.10.2)\n Downloading mccabe-0.6.1-py2.py3-none-any.whl (8.6 kB)\nCollecting toml>=0.7.1 (from pylint==2.10.2)\n Downloading toml-0.10.2-py2.py3-none-any.whl (16 kB)\nCollecting lazy-object-proxy>=1.4.0 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading lazy_object_proxy-1.9.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (63 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.3/63.3 kB 21.4 MB/s eta 0:00:00\nCollecting wrapt<1.13,>=1.11 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading wrapt-1.12.1.tar.gz (27 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nRequirement already satisfied: setuptools>=20.0 in /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages (from astroid<2.8,>=2.7.2->pylint==2.10.2) (65.5.0)\nDownloading platformdirs-4.0.0-py3-none-any.whl (17 kB)\nBuilding wheels for collected packages: wrapt\n Building wheel for wrapt (pyproject.toml): started\n Building wheel for wrapt (pyproject.toml): finished with status 'done'\n Created wheel for wrapt: filename=wrapt-1.12.1-cp310-cp310-linux_x86_64.whl size=78857 sha256=6d1ed27e1330265aa7da4a45e80bc83767554d3f44d0aa976d0a0f99603aa77a\n Stored in directory: /home/runner/.cache/pip/wheels/8e/61/d3/d9e7053100177668fa43216a8082868c55015f8706abd974f2\nSuccessfully built wrapt\nInstalling collected packages: wrapt, mccabe, toml, platformdirs, lazy-object-proxy, isort, astroid, pylint\nSuccessfully installed astroid-2.7.3 isort-5.12.0 lazy-object-proxy-1.9.0 mccabe-0.6.1 platformdirs-4.0.0 pylint-2.10.2 toml-0.10.2 wrapt-1.12.1\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n************* Module openvino.tools.accuracy_checker.annotation_converters.amazon\nopenvino/tools/accuracy_checker/annotation_converters/amazon.py:42:0: C0301: Line too long (125/120) (line-too-long)\n\n------------------------------------\nYour code has been rated at 10.00/10\n\n##[error]Process completed with exit code 16.\n" }, { "step_name": "accuracy_checker (ubuntu-22.04, 3.8)/6_Pip install and run pylint.txt", "log": "##[group]Run python -m pip install pylint==2.10.2\n\u001b[36;1mpython -m pip install pylint==2.10.2\u001b[0m\n\u001b[36;1mPYTHONPATH=. python -m pylint --rcfile=.pylintrc `find -wholename '?//.py' -not -path \"./tests/\" -not -path \"./build/\"`\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nCollecting pylint==2.10.2\n Downloading pylint-2.10.2-py3-none-any.whl (392 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 392.6/392.6 kB 8.3 MB/s eta 0:00:00\nCollecting platformdirs>=2.2.0 (from pylint==2.10.2)\n Downloading platformdirs-4.0.0-py3-none-any.whl.metadata (11 kB)\nCollecting astroid<2.8,>=2.7.2 (from pylint==2.10.2)\n Downloading astroid-2.7.3-py3-none-any.whl (240 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 240.6/240.6 kB 13.5 MB/s eta 0:00:00\nCollecting isort<6,>=4.2.5 (from pylint==2.10.2)\n Downloading isort-5.12.0-py3-none-any.whl (91 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 91.2/91.2 kB 11.9 MB/s eta 0:00:00\nCollecting mccabe<0.7,>=0.6 (from pylint==2.10.2)\n Downloading mccabe-0.6.1-py2.py3-none-any.whl (8.6 kB)\nCollecting toml>=0.7.1 (from pylint==2.10.2)\n Downloading toml-0.10.2-py2.py3-none-any.whl (16 kB)\nCollecting lazy-object-proxy>=1.4.0 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading lazy_object_proxy-1.9.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 61.4/61.4 kB 13.7 MB/s eta 0:00:00\nCollecting wrapt<1.13,>=1.11 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading wrapt-1.12.1.tar.gz (27 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nRequirement already satisfied: setuptools>=20.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from astroid<2.8,>=2.7.2->pylint==2.10.2) (56.0.0)\nDownloading platformdirs-4.0.0-py3-none-any.whl (17 kB)\nBuilding wheels for collected packages: wrapt\n Building wheel for wrapt (pyproject.toml): started\n Building wheel for wrapt (pyproject.toml): finished with status 'done'\n Created wheel for wrapt: filename=wrapt-1.12.1-cp38-cp38-linux_x86_64.whl size=75906 sha256=7dfdf5a8e2ec3763741d076db7b39e8ebc0c169daceb562404ec7f01eb211625\n Stored in directory: /home/runner/.cache/pip/wheels/5f/fd/9e/b6cf5890494cb8ef0b5eaff72e5d55a70fb56316007d6dfe73\nSuccessfully built wrapt\nInstalling collected packages: wrapt, mccabe, toml, platformdirs, lazy-object-proxy, isort, astroid, pylint\nSuccessfully installed astroid-2.7.3 isort-5.12.0 lazy-object-proxy-1.9.0 mccabe-0.6.1 platformdirs-4.0.0 pylint-2.10.2 toml-0.10.2 wrapt-1.12.1\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n************* Module openvino.tools.accuracy_checker.annotation_converters.amazon\nopenvino/tools/accuracy_checker/annotation_converters/amazon.py:42:0: C0301: Line too long (125/120) (line-too-long)\n\n------------------------------------\nYour code has been rated at 10.00/10\n\n##[error]Process completed with exit code 16.\n" } ]	diff --git a/tools/accuracy_checker/openvino/tools/accuracy_checker/annotation_converters/amazon.py b/tools/accuracy_checker/openvino/tools/accuracy_checker/annotation_converters/amazon.py index 78a399750..0264a381d 100644 --- a/tools/accuracy_checker/openvino/tools/accuracy_checker/annotation_converters/amazon.py +++ b/tools/accuracy_checker/openvino/tools/accuracy_checker/annotation_converters/amazon.py @@ -39,7 +39,8 @@ class DataIterator: self.source_dicts = [] for source_dict in [uid_voc, mid_voc, cat_voc]: with open(source_dict, 'rb') as source_content: - self.source_dicts.append(pickle.load(source_content, encoding='UTF-8')) # nosec B301 # disable pickle check + # disable pickle check + self.source_dicts.append(pickle.load(source_content, encoding='UTF-8')) # nosec B301 with open(item_info, "r", encoding='UTF-8') as f_meta: meta_map = {}	0	[ "tools/accuracy_checker/openvino/tools/accuracy_checker/annotation_converters/amazon.py" ]	https://github.com/openvinotoolkit/open_model_zoo/tree/ce191b811e255722bfb4f5c2c7c30bcb7a4a3d59	2023-12-01T15:56:54Z
Python	189	openvinotoolkit	open_model_zoo	ac_sub_evaluation	github-actions	accuracy_checker.yml	.github/workflows/accuracy_checker.yml	pwolnows	07bc10c0e7858b22e9345812af8e6bb6c4ef18be	76a4c47015ae5c1280dcf23d3d8592df40dbced8	name: github-actions on: pull_request jobs: accuracy_checker: strategy: matrix: runs-on: [ubuntu-20.04, ubuntu-22.04] python-version: [3.8, 3.9, '3.10'] runs-on: ${{ matrix.runs-on }} services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: Pip install dependencies run: \| python -m pip install --upgrade pip python -m pip install tools/accuracy_checker openvino -r tools/accuracy_checker/requirements-test.in - name: python -m pytest tools/accuracy_checker run: \| python -m pytest tools/accuracy_checker - name: Pip install and run pylint working-directory: ./tools/accuracy_checker run: \| python -m pip install pylint==2.10.2 PYTHONPATH=. python -m pylint --rcfile=.pylintrc `find -wholename '?//.py' -not -path "./tests/" -not -path "./build/"` env: PIP_INDEX_URL: http://localhost:8629/2024-01-08 UV_INDEX_URL: http://localhost:8629/2024-01-08	[ { "step_name": "accuracy_checker (ubuntu-20.04, 3.8)/6_Pip install and run pylint.txt", "log": "##[group]Run python -m pip install pylint==2.10.2\n\u001b[36;1mpython -m pip install pylint==2.10.2\u001b[0m\n\u001b[36;1mPYTHONPATH=. python -m pylint --rcfile=.pylintrc `find -wholename '?//.py' -not -path \"./tests/\" -not -path \"./build/\"`\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nCollecting pylint==2.10.2\n Downloading pylint-2.10.2-py3-none-any.whl (392 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 392.6/392.6 kB 15.3 MB/s eta 0:00:00\nCollecting platformdirs>=2.2.0 (from pylint==2.10.2)\n Downloading platformdirs-4.1.0-py3-none-any.whl.metadata (11 kB)\nCollecting astroid<2.8,>=2.7.2 (from pylint==2.10.2)\n Downloading astroid-2.7.3-py3-none-any.whl (240 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 240.6/240.6 kB 46.7 MB/s eta 0:00:00\nCollecting isort<6,>=4.2.5 (from pylint==2.10.2)\n Downloading isort-5.13.2-py3-none-any.whl.metadata (12 kB)\nCollecting mccabe<0.7,>=0.6 (from pylint==2.10.2)\n Downloading mccabe-0.6.1-py2.py3-none-any.whl (8.6 kB)\nCollecting toml>=0.7.1 (from pylint==2.10.2)\n Downloading toml-0.10.2-py2.py3-none-any.whl (16 kB)\nCollecting lazy-object-proxy>=1.4.0 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading lazy_object_proxy-1.10.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.8 kB)\nCollecting wrapt<1.13,>=1.11 (from astroid<2.8,>=2.7.2->pylint==2.10.2)\n Downloading wrapt-1.12.1.tar.gz (27 kB)\n Installing build dependencies: started\n Installing build dependencies: finished with status 'done'\n Getting requirements to build wheel: started\n Getting requirements to build wheel: finished with status 'done'\n Preparing metadata (pyproject.toml): started\n Preparing metadata (pyproject.toml): finished with status 'done'\nRequirement already satisfied: setuptools>=20.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from astroid<2.8,>=2.7.2->pylint==2.10.2) (56.0.0)\nDownloading isort-5.13.2-py3-none-any.whl (92 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 92.3/92.3 kB 21.2 MB/s eta 0:00:00\nDownloading platformdirs-4.1.0-py3-none-any.whl (17 kB)\nDownloading lazy_object_proxy-1.10.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (66 kB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.4/66.4 kB 16.7 MB/s eta 0:00:00\nBuilding wheels for collected packages: wrapt\n Building wheel for wrapt (pyproject.toml): started\n Building wheel for wrapt (pyproject.toml): finished with status 'done'\n Created wheel for wrapt: filename=wrapt-1.12.1-cp38-cp38-linux_x86_64.whl size=81820 sha256=be1d80d6ab9cc886aa44b352ed5ead61a5f3ec49ae66639ac53a214d9cb2af26\n Stored in directory: /home/runner/.cache/pip/wheels/5f/fd/9e/b6cf5890494cb8ef0b5eaff72e5d55a70fb56316007d6dfe73\nSuccessfully built wrapt\nInstalling collected packages: wrapt, mccabe, toml, platformdirs, lazy-object-proxy, isort, astroid, pylint\nSuccessfully installed astroid-2.7.3 isort-5.13.2 lazy-object-proxy-1.10.0 mccabe-0.6.1 platformdirs-4.1.0 pylint-2.10.2 toml-0.10.2 wrapt-1.12.1\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/astroid/raw_building.py:416: FutureWarning: In the future `np.long` will be defined as the corresponding NumPy scalar.\n getattr(sys.modules[modname], name)\n************* Module openvino.tools.accuracy_checker.evaluators.model_evaluator\nopenvino/tools/accuracy_checker/evaluators/model_evaluator.py:805:0: C0303: Trailing whitespace (trailing-whitespace)\n\n------------------------------------\nYour code has been rated at 10.00/10\n\n##[error]Process completed with exit code 16.\n" } ]	diff --git a/tools/accuracy_checker/openvino/tools/accuracy_checker/evaluators/model_evaluator.py b/tools/accuracy_checker/openvino/tools/accuracy_checker/evaluators/model_evaluator.py index adb41abf5..5a310a979 100644 --- a/tools/accuracy_checker/openvino/tools/accuracy_checker/evaluators/model_evaluator.py +++ b/tools/accuracy_checker/openvino/tools/accuracy_checker/evaluators/model_evaluator.py @@ -802,5 +802,4 @@ def get_config_metrics(config): # first subset_metrics or matching subsample_size metrics = item.get('metrics') break - return config.get('metrics',[]) if (metrics is None) else metrics	0	[ "tools/accuracy_checker/openvino/tools/accuracy_checker/evaluators/model_evaluator.py" ]	https://github.com/openvinotoolkit/open_model_zoo/tree/07bc10c0e7858b22e9345812af8e6bb6c4ef18be	2024-01-08T09:33:41Z
Python	195	cowrie	cowrie	oracle_cloud_logs	Tox	tox.yml	.github/workflows/tox.yml	mamorett	55f8e6684499eb6abe5b1c1dba01ca4c90d2c949	75c7daecfd2471b4dc10ca5d402ac8aff2005b5b	--- name: Tox on: # yamllint disable-line rule:truthy push: pull_request: workflow_dispatch: inputs: logLevel: description: 'Log level' required: true default: 'warning' tags: description: 'Tox' jobs: build: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 strategy: matrix: python-version: ["3.8", "3.9", "3.10", "3.11", "3.12", "pypy-3.9", "pypy-3.10"] steps: - uses: actions/checkout@v4 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: Install dependencies run: \| python -m pip install --upgrade pip setuptools wheel python -m pip install -r requirements.txt python -m pip install -r requirements-dev.txt pip install tox-gh-actions - name: Test with tox run: tox env: PIP_INDEX_URL: http://localhost:8629/2023-11-10 UV_INDEX_URL: http://localhost:8629/2023-11-10	[ { "step_name": "build (3.10)/5_Test with tox.txt", "log": "##[group]Run tox\n\u001b[36;1mtox\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.10.13/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.13/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.13/x64/lib\n##[endgroup]\nlint: install_deps> python -I -m pip install -r /home/runner/work/cowrie/cowrie/requirements.txt -r /home/runner/work/cowrie/cowrie/requirements-dev.txt\nlint: freeze> python -m pip freeze --all\nlint: alabaster==0.7.13,appdirs==1.4.4,astroid==3.0.1,attrs==23.1.0,Automat==22.10.0,Babel==2.13.1,bcrypt==4.0.1,build==1.0.3,cachetools==5.3.2,certifi==2023.7.22,cffi==1.16.0,cfgv==3.4.0,chardet==5.2.0,charset-normalizer==3.3.2,click==8.1.7,colorama==0.4.6,configparser==6.0.0,constantly==23.10.4,coverage==7.3.2,cryptography==41.0.4,dataclasses-json==0.6.2,dill==0.3.7,distlib==0.3.7,docutils==0.18.1,filelock==3.13.1,hyperlink==21.0.0,identify==2.5.31,idna==3.4,imagesize==1.4.1,importlab==0.8.1,incremental==22.10.0,intervaltree==3.1.0,isort==5.12.0,Jinja2==3.1.2,libcst==0.4.9,MarkupSafe==2.1.3,marshmallow==3.20.1,mccabe==0.7.0,mypy==1.4.1,mypy-extensions==1.0.0,mypy-zope==1.0.1,networkx==3.1,ninja==1.11.1.1,nodeenv==1.8.0,packaging==23.2,pathspec==0.11.2,pip==23.3.1,pipdeptree==2.13.0,platformdirs==3.11.0,pluggy==1.3.0,pre-commit==3.5.0,psutil==5.9.6,pyasn1==0.5.0,pyasn1-modules==0.3.0,pycparser==2.21,pydot==1.4.2,Pygments==2.16.1,pylint==3.0.2,pyOpenSSL==23.2.0,pyparsing==3.1.1,pyproject-api==1.6.1,pyproject_hooks==1.0.0,pyre-check==0.9.19,pyre-extensions==0.0.30,pyright==1.1.333,python-dateutil==2.8.2,pytype==2023.6.2,pyupgrade==3.15.0,PyYAML==6.0.1,readthedocs-sphinx-search==0.3.1,requests==2.31.0,ruff==0.1.3,service-identity==23.1.0,setuptools==68.2.2,six==1.16.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,Sphinx==7.2.6,sphinx-copybutton==0.5.2,sphinx-rtd-theme==1.3.0,sphinxcontrib-applehelp==1.0.7,sphinxcontrib-devhelp==1.0.5,sphinxcontrib-htmlhelp==2.0.4,sphinxcontrib-jquery==4.1,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.6,sphinxcontrib-serializinghtml==1.1.9,tabulate==0.9.0,TestSlide==2.7.1,tftpy==0.8.2,tokenize-rt==5.2.0,toml==0.10.2,tomli==2.0.1,tomlkit==0.12.2,tox==4.11.3,treq==22.2.0,Twisted==23.10.0,typeguard==2.13.3,types-pyOpenSSL==23.3.0.0,types-python-dateutil==2.8.19.14,types-redis==4.6.0.7,types-requests==2.31.0.10,typing-inspect==0.9.0,typing_extensions==4.8.0,urllib3==2.0.7,virtualenv==20.24.6,wheel==0.41.2,yamllint==1.32.0,zope.event==5.0,zope.interface==6.1,zope.schema==7.0.1\n##[group]tox: lint\nlint: commands[0]> ruff /home/runner/work/cowrie/cowrie/src\nsrc/cowrie/output/oraclecloud.py:3:26: F401 [] `configparser.NoOptionError` imported but unused\nsrc/cowrie/output/oraclecloud.py:8:8: F811 Redefinition of unused `oci` from line 5\nsrc/cowrie/output/oraclecloud.py:9:17: F401 [] `oci.auth` imported but unused\nsrc/cowrie/output/oraclecloud.py:24:25: Q000 [] Single quotes found but double quotes preferred\nsrc/cowrie/output/oraclecloud.py:53:13: T201 `print` found\nsrc/cowrie/output/oraclecloud.py:58:13: T201 `print` found\nFound 6 errors.\n[] 3 fixable with the `--fix` option.\nlint: exit 1 (0.10 seconds) /home/runner/work/cowrie/cowrie> ruff /home/runner/work/cowrie/cowrie/src pid=2034\n##[endgroup]\nlint: FAIL ✖ in 36.55 seconds\ndocs: install_deps> python -I -m pip install -r /home/runner/work/cowrie/cowrie/requirements.txt -r /home/runner/work/cowrie/cowrie/requirements-dev.txt\ndocs: freeze> python -m pip freeze --all\ndocs: alabaster==0.7.13,appdirs==1.4.4,astroid==3.0.1,attrs==23.1.0,Automat==22.10.0,Babel==2.13.1,bcrypt==4.0.1,build==1.0.3,cachetools==5.3.2,certifi==2023.7.22,cffi==1.16.0,cfgv==3.4.0,chardet==5.2.0,charset-normalizer==3.3.2,click==8.1.7,colorama==0.4.6,configparser==6.0.0,constantly==23.10.4,coverage==7.3.2,cryptography==41.0.4,dataclasses-json==0.6.2,dill==0.3.7,distlib==0.3.7,docutils==0.18.1,filelock==3.13.1,hyperlink==21.0.0,identify==2.5.31,idna==3.4,imagesize==1.4.1,importlab==0.8.1,incremental==22.10.0,intervaltree==3.1.0,isort==5.12.0,Jinja2==3.1.2,libcst==0.4.9,MarkupSafe==2.1.3,marshmallow==3.20.1,mccabe==0.7.0,mypy==1.4.1,mypy-extensions==1.0.0,mypy-zope==1.0.1,networkx==3.1,ninja==1.11.1.1,nodeenv==1.8.0,packaging==23.2,pathspec==0.11.2,pip==23.3.1,pipdeptree==2.13.0,platformdirs==3.11.0,pluggy==1.3.0,pre-commit==3.5.0,psutil==5.9.6,pyasn1==0.5.0,pyasn1-modules==0.3.0,pycparser==2.21,pydot==1.4.2,Pygments==2.16.1,pylint==3.0.2,pyOpenSSL==23.2.0,pyparsing==3.1.1,pyproject-api==1.6.1,pyproject_hooks==1.0.0,pyre-check==0.9.19,pyre-extensions==0.0.30,pyright==1.1.333,python-dateutil==2.8.2,pytype==2023.6.2,pyupgrade==3.15.0,PyYAML==6.0.1,readthedocs-sphinx-search==0.3.1,requests==2.31.0,ruff==0.1.3,service-identity==23.1.0,setuptools==68.2.2,six==1.16.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,Sphinx==7.2.6,sphinx-copybutton==0.5.2,sphinx-rtd-theme==1.3.0,sphinxcontrib-applehelp==1.0.7,sphinxcontrib-devhelp==1.0.5,sphinxcontrib-htmlhelp==2.0.4,sphinxcontrib-jquery==4.1,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.6,sphinxcontrib-serializinghtml==1.1.9,tabulate==0.9.0,TestSlide==2.7.1,tftpy==0.8.2,tokenize-rt==5.2.0,toml==0.10.2,tomli==2.0.1,tomlkit==0.12.2,tox==4.11.3,treq==22.2.0,Twisted==23.10.0,typeguard==2.13.3,types-pyOpenSSL==23.3.0.0,types-python-dateutil==2.8.19.14,types-redis==4.6.0.7,types-requests==2.31.0.10,typing-inspect==0.9.0,typing_extensions==4.8.0,urllib3==2.0.7,virtualenv==20.24.6,wheel==0.41.2,yamllint==1.32.0,zope.event==5.0,zope.interface==6.1,zope.schema==7.0.1\n##[group]tox: docs\ndocs: commands[0] /home/runner/work/cowrie/cowrie/docs> sphinx-build -W -b html -d /home/runner/work/cowrie/cowrie/.tox/docs/tmp/doctrees . /home/runner/work/cowrie/cowrie/.tox/docs/tmp/html\nRunning Sphinx v7.2.6\nmaking output directory... done\nloading intersphinx inventory from https://docs.python.org/3/objects.inv...\nloading intersphinx inventory from https://docs.twistedmatrix.com/en/latest/api/objects.inv...\nbuilding [mo]: targets for 0 po files that are out of date\nwriting output... \nbuilding [html]: targets for 24 source files that are out of date\nupdating environment: [new config] 24 added, 0 changed, 0 removed\n\u001b[2Kreading sources... [ 4%] BACKEND_POOL\n\u001b[2Kreading sources... [ 8%] CHANGELOG\n\u001b[2Kreading sources... [ 12%] CONTRIBUTING\n\u001b[2Kreading sources... [ 17%] FAQ\n\u001b[2Kreading sources... [ 21%] HONEYFS\n\u001b[2Kreading sources... [ 25%] INSTALL\n\u001b[2Kreading sources... [ 29%] LICENSE\n\u001b[2Kreading sources... [ 33%] OUTPUT\n\u001b[2Kreading sources... [ 38%] PROXY\n\u001b[2Kreading sources... [ 42%] README\n\u001b[2Kreading sources... [ 46%] SNAPSHOTS\n\u001b[2Kreading sources... [ 50%] datadog/README\n\u001b[2Kreading sources... [ 54%] docker/README\n\u001b[2Kreading sources... [ 58%] elk/README\n\u001b[2Kreading sources... [ 62%] graylog/README\n\u001b[2Kreading sources... [ 67%] index\n\u001b[2Kreading sources... [ 71%] kippo-graph/README\n\u001b[2Kreading sources... [ 75%] sentinel/README\n\u001b[2Kreading sources... [ 79%] splunk/README\n\u001b[2Kreading sources... [ 83%] sql/README\n\u001b[2Kreading sources... [ 88%] squid/README\n\u001b[2Kreading sources... [ 92%] supervisor/README\n\u001b[2Kreading sources... [ 96%] systemd/README\n\u001b[2Kreading sources... [100%] threatjammer/README\nlooking for now-outdated files... none found\npickling environment... done\nchecking consistency... done\npreparing documents... done\ncopying assets... copying static files... done\ncopying extra files... done\ndone\n\u001b[2Kwriting output... [ 4%] BACKEND_POOL\n\u001b[2Kwriting output... [ 8%] CHANGELOG\n\u001b[2Kwriting output... [ 12%] CONTRIBUTING\n\u001b[2Kwriting output... [ 17%] FAQ\n\u001b[2Kwriting output... [ 21%] HONEYFS\n\u001b[2Kwriting output... [ 25%] INSTALL\n\u001b[2Kwriting output... [ 29%] LICENSE\n\u001b[2Kwriting output... [ 33%] OUTPUT\n\u001b[2Kwriting output... [ 38%] PROXY\n\u001b[2Kwriting output... [ 42%] README\n\u001b[2Kwriting output... [ 46%] SNAPSHOTS\n\u001b[2Kwriting output... [ 50%] datadog/README\n\u001b[2Kwriting output... [ 54%] docker/README\n\u001b[2Kwriting output... [ 58%] elk/README\n\u001b[2Kwriting output... [ 62%] graylog/README\n\u001b[2Kwriting output... [ 67%] index\n\u001b[2Kwriting output... [ 71%] kippo-graph/README\n\u001b[2Kwriting output... [ 75%] sentinel/README\n\u001b[2Kwriting output... [ 79%] splunk/README\n\u001b[2Kwriting output... [ 83%] sql/README\n\u001b[2Kwriting output... [ 88%] squid/README\n\u001b[2Kwriting output... [ 92%] supervisor/README\n\u001b[2Kwriting output... [ 96%] systemd/README\n\u001b[2Kwriting output... [100%] threatjammer/README\ngenerating indices... genindex done\nhighlighting module code... \nwriting additional pages... search done\ndumping search index in English (code: en)... done\ndumping object inventory... done\nbuild succeeded.\n\nThe HTML pages are in ../.tox/docs/tmp/html.\n##[endgroup]\ndocs: OK ✔ in 40.98 seconds\ntyping: install_deps> python -I -m pip install -r /home/runner/work/cowrie/cowrie/requirements.txt -r /home/runner/work/cowrie/cowrie/requirements-dev.txt\ntyping: freeze> python -m pip freeze --all\ntyping: alabaster==0.7.13,appdirs==1.4.4,astroid==3.0.1,attrs==23.1.0,Automat==22.10.0,Babel==2.13.1,bcrypt==4.0.1,build==1.0.3,cachetools==5.3.2,certifi==2023.7.22,cffi==1.16.0,cfgv==3.4.0,chardet==5.2.0,charset-normalizer==3.3.2,click==8.1.7,colorama==0.4.6,configparser==6.0.0,constantly==23.10.4,coverage==7.3.2,cryptography==41.0.4,dataclasses-json==0.6.2,dill==0.3.7,distlib==0.3.7,docutils==0.18.1,filelock==3.13.1,hyperlink==21.0.0,identify==2.5.31,idna==3.4,imagesize==1.4.1,importlab==0.8.1,incremental==22.10.0,intervaltree==3.1.0,isort==5.12.0,Jinja2==3.1.2,libcst==0.4.9,MarkupSafe==2.1.3,marshmallow==3.20.1,mccabe==0.7.0,mypy==1.4.1,mypy-extensions==1.0.0,mypy-zope==1.0.1,networkx==3.1,ninja==1.11.1.1,nodeenv==1.8.0,packaging==23.2,pathspec==0.11.2,pip==23.3.1,pipdeptree==2.13.0,platformdirs==3.11.0,pluggy==1.3.0,pre-commit==3.5.0,psutil==5.9.6,pyasn1==0.5.0,pyasn1-modules==0.3.0,pycparser==2.21,pydot==1.4.2,Pygments==2.16.1,pylint==3.0.2,pyOpenSSL==23.2.0,pyparsing==3.1.1,pyproject-api==1.6.1,pyproject_hooks==1.0.0,pyre-check==0.9.19,pyre-extensions==0.0.30,pyright==1.1.333,python-dateutil==2.8.2,pytype==2023.6.2,pyupgrade==3.15.0,PyYAML==6.0.1,readthedocs-sphinx-search==0.3.1,requests==2.31.0,ruff==0.1.3,service-identity==23.1.0,setuptools==68.2.2,six==1.16.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,Sphinx==7.2.6,sphinx-copybutton==0.5.2,sphinx-rtd-theme==1.3.0,sphinxcontrib-applehelp==1.0.7,sphinxcontrib-devhelp==1.0.5,sphinxcontrib-htmlhelp==2.0.4,sphinxcontrib-jquery==4.1,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.6,sphinxcontrib-serializinghtml==1.1.9,tabulate==0.9.0,TestSlide==2.7.1,tftpy==0.8.2,tokenize-rt==5.2.0,toml==0.10.2,tomli==2.0.1,tomlkit==0.12.2,tox==4.11.3,treq==22.2.0,Twisted==23.10.0,typeguard==2.13.3,types-pyOpenSSL==23.3.0.0,types-python-dateutil==2.8.19.14,types-redis==4.6.0.7,types-requests==2.31.0.10,typing-inspect==0.9.0,typing_extensions==4.8.0,urllib3==2.0.7,virtualenv==20.24.6,wheel==0.41.2,yamllint==1.32.0,zope.event==5.0,zope.interface==6.1,zope.schema==7.0.1\n##[group]tox: typing - run static type checkers\ntyping: commands[0]> mypy --cache-dir=/home/runner/work/cowrie/cowrie/.tox/mypy_cache --config-file=/home/runner/work/cowrie/cowrie/pyproject.toml src\nSuccess: no issues found in 178 source files\ntyping: commands[1]> mypyc --cache-dir=/home/runner/work/cowrie/cowrie/.tox/mypyc_cache --config-file=/home/runner/work/cowrie/cowrie/pyproject.toml src\nTraceback (most recent call last):\n File \"mypyc/irbuild/prepare.py\", line 98, in build_type_map\n File \"mypyc/irbuild/prepare.py\", line 307, in prepare_class_def\n File \"mypyc/irbuild/prepare.py\", line 331, in prepare_methods_and_attributes\n File \"mypyc/irbuild/mapper.py\", line 143, in type_to_rtype\nsrc/cowrie/shell/protocol.py:25: AssertionError: unexpected type <class 'mypy.types.DeletedType'>\ntyping: exit 2 (27.33 seconds) /home/runner/work/cowrie/cowrie> mypyc --cache-dir=/home/runner/work/cowrie/cowrie/.tox/mypyc_cache --config-file=/home/runner/work/cowrie/cowrie/pyproject.toml src pid=2261\ntyping: command failed but is marked ignore outcome so handling it as success\ntyping: commands[2]> pytype --keep-going --jobs auto\nusage: pytype [options] input [input ...]\npytype: error: Need an input.\ntyping: exit 2 (0.92 seconds) /home/runner/work/cowrie/cowrie> pytype --keep-going --jobs auto pid=2279\ntyping: command failed but is marked ignore outcome so handling it as success\ntyping: commands[3]> pyre --noninteractive analyze\n2023-11-13 09:01:56,237 [PID 2286] INFO No binary specified, looking for `pyre.bin` in PATH\n2023-11-13 09:01:56,238 [PID 2286] INFO Pyre binary is located at `/home/runner/work/cowrie/cowrie/.tox/typing/bin/pyre.bin`\n2023-11-13 09:01:56,239 [PID 2286] INFO No typeshed specified, looking for it...\n2023-11-13 09:01:56,239 [PID 2286] INFO Found: `/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed`\n2023-11-13 09:01:56,243 [PID 2286] INFO Writing arguments into /tmp/pyre_arguments_480k7g42.json...\n2023-11-13 09:01:56,243 [PID 2286] DEBUG Arguments:\n{\n \"source_paths\": {\n \"kind\": \"simple\",\n \"paths\": [\n \"/home/runner/work/cowrie/cowrie/src\"\n ]\n },\n \"search_paths\": [\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stdlib\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/D3DShot\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/DateTimeRange\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/Deprecated\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/ExifRead\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/Flask-Cors\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/Flask-Migrate\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/Flask-SQLAlchemy\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/JACK-Client\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/Markdown\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/Pillow\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/PyAutoGUI\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/PyMySQL\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/PyScreeze\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/PyYAML\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/Pygments\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/SQLAlchemy\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/Send2Trash\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/aiofiles\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/annoy\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/appdirs\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/aws-xray-sdk\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/babel\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/backports.ssl_match_hostname\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/beautifulsoup4\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/bleach\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/boto\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/braintree\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/cachetools\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/caldav\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/cffi\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/chardet\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/chevron\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/click-spinner\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/colorama\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/commonmark\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/console-menu\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/contextvars\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/croniter\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/dateparser\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/decorator\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/dj-database-url\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/dockerfile-parse\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/docopt\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/docutils\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/editdistance\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/emoji\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/entrypoints\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/first\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/flake8-2020\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/flake8-bugbear\",\n 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\"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/html5lib\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/httplib2\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/humanfriendly\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/ibm-db\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/influxdb-client\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/invoke\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/jmespath\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/jsonschema\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/keyboard\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/ldap3\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/mock\",\n 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\"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/stdlib-list\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/stripe\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/tabulate\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/tensorflow\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/termcolor\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/toml\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/toposort\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/tqdm\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/tree-sitter\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/tree-sitter-languages\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/ttkthemes\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/typed-ast\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/tzlocal\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/ujson\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/untangle\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/urllib3\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/vobject\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/waitress\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/whatthepatch\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/xmltodict\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/xxhash\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/zstd\",\n \"/home/runner/work/cowrie/cowrie/.tox/typing/lib/pyre_check/typeshed/stubs/zxcvbn\"\n ],\n \"excludes\": [\n \"./src/cowrie/output/.\"\n ],\n \"checked_directory_allowlist\": [\n \"/home/runner/work/cowrie/cowrie/src\"\n ],\n \"checked_directory_blocklist\": [],\n \"extensions\": [],\n \"log_path\": \"/home/runner/work/cowrie/cowrie/.pyre\",\n \"global_root\": \"/home/runner/work/cowrie/cowrie\",\n \"debug\": false,\n \"python_version\": {\n \"major\": 3,\n \"minor\": 10,\n \"micro\": 13\n },\n \"shared_memory\": {},\n \"parallel\": true,\n \"number_of_workers\": 4,\n \"inline_decorators\": false,\n \"no_verify\": false,\n \"verify_dsl\": false,\n \"verify_taint_config_only\": false,\n \"strict\": false,\n \"taint_model_paths\": [],\n \"use_cache\": false,\n \"build_cache_only\": false,\n \"check_invariants\": false,\n \"limit_entrypoints\": false,\n \"compact_ocaml_heap\": false,\n \"saved_state\": {\n \"watchman_root\": null,\n \"project_name\": null,\n \"cache_critical_files\": []\n }\n}\n2023-11-13 09:01:56,290 [PID 2286] INFO Initializing shared memory (heap_size: 8589934592, dep_table_pow: 27, hash_table_pow: 26)\n2023-11-13 09:01:56,316 [PID 2286] INFO Verifying taint configuration.\n2023-11-13 09:01:56,332 [PID 2286] ERROR Found 1 taint configuration error!\n? No `.config` was found in the taint directories\ntyping: exit 9 (1.53 seconds) /home/runner/work/cowrie/cowrie> pyre --noninteractive analyze pid=2286\ntyping: command failed but is marked ignore outcome so handling it as success\ntyping: commands[4]> pyright src\n\nadded 1 package, and audited 2 packages in 3s\n\nfound 0 vulnerabilities\nnpm notice \nnpm notice New major version of npm available! 9.8.1 -> 10.2.3\nnpm notice Changelog: <https://github.com/npm/cli/releases/tag/v10.2.3>\nnpm notice Run `npm install -g [email protected]` to update!\nnpm notice \n/home/runner/work/cowrie/cowrie/src/backend_pool/nat.py\n /home/runner/work/cowrie/cowrie/src/backend_pool/nat.py:17:40 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/backend_pool/nat.py:39:17 - error: \"connectTCP\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/backend_pool/nat.py:47:21 - error: \"callLater\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/backend_pool/nat.py:51:44 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/backend_pool/nat.py:51:44 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/backend_pool/nat.py:56:44 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/backend_pool/pool_server.py\n /home/runner/work/cowrie/cowrie/src/backend_pool/pool_server.py:184:28 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/backend_pool/pool_service.py\n /home/runner/work/cowrie/cowrie/src/backend_pool/pool_service.py:161:16 - error: Import \"libvirt\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/backend_pool/pool_service.py:191:16 - error: Import \"libvirt\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/backend_pool/pool_service.py:349:35 - error: \"None\" is not iterable (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/backend_pool/ssh_exec.py\n /home/runner/work/cowrie/cowrie/src/backend_pool/ssh_exec.py:30:19 - error: \"sendRequest\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/backend_pool/ssh_exec.py:39:19 - error: \"transport\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/backend_pool/ssh_exec.py:103:13 - error: \"connectTCP\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/backend_pool/telnet_exec.py\n /home/runner/work/cowrie/cowrie/src/backend_pool/telnet_exec.py:61:46 - error: Cannot access member \"factory\" for type \"ITransport\"\n Member \"factory\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/backend_pool/telnet_exec.py:61:46 - error: \"factory\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/backend_pool/telnet_exec.py:94:24 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/backend_pool/telnet_exec.py:139:17 - error: \"connectTCP\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/backend_pool/libvirt/backend_service.py\n /home/runner/work/cowrie/cowrie/src/backend_pool/libvirt/backend_service.py:32:16 - error: Import \"libvirt\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/backend_pool/libvirt/guest_handler.py\n /home/runner/work/cowrie/cowrie/src/backend_pool/libvirt/guest_handler.py:22:12 - error: Import \"libvirt\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/backend_pool/libvirt/network_handler.py\n /home/runner/work/cowrie/cowrie/src/backend_pool/libvirt/network_handler.py:16:12 - error: Import \"libvirt\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/backend_pool/libvirt/network_handler.py:42:12 - error: Import \"libvirt\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:7:5 - warning: \"adduser\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:8:5 - warning: \"apt\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:9:5 - warning: \"awk\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:10:5 - warning: \"base\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:11:5 - warning: \"base64\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:12:5 - warning: \"busybox\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:13:5 - warning: \"cat\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:14:5 - warning: \"chmod\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:15:5 - warning: \"chpasswd\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:16:5 - warning: \"crontab\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:17:5 - warning: \"curl\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:18:5 - warning: \"dd\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:19:5 - warning: \"du\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:20:5 - warning: \"env\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:21:5 - warning: \"ethtool\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:22:5 - warning: \"finger\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:23:5 - warning: \"free\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:24:5 - warning: \"fs\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:25:5 - warning: \"ftpget\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:26:5 - warning: \"gcc\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:27:5 - warning: \"groups\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:28:5 - warning: \"ifconfig\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:29:5 - warning: \"iptables\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:30:5 - warning: \"last\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:31:5 - warning: \"locate\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:32:5 - warning: \"ls\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:33:5 - warning: \"nc\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:34:5 - warning: \"netstat\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:35:5 - warning: \"nohup\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:36:5 - warning: \"perl\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:37:5 - warning: \"ping\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:38:5 - warning: \"python\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:39:5 - warning: \"scp\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:40:5 - warning: \"service\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:41:5 - warning: \"sleep\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:42:5 - warning: \"ssh\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:43:5 - warning: \"sudo\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:44:5 - warning: \"tar\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:45:5 - warning: \"tee\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:46:5 - warning: \"tftp\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:47:5 - warning: \"ulimit\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:48:5 - warning: \"uname\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:49:5 - warning: \"uniq\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:50:5 - warning: \"unzip\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:51:5 - warning: \"uptime\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:52:5 - warning: \"wc\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:53:5 - warning: \"wget\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:54:5 - warning: \"which\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/__init__.py:55:5 - warning: \"yum\" is specified in __all__ but is not present in module (reportUnsupportedDunderAll)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/chmod.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/chmod.py:74:16 - error: No overloads for \"fullmatch\" match the provided arguments (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/chmod.py:74:41 - error: Argument of type \"Unknown \| str \| None\" cannot be assigned to parameter \"string\" of type \"str\" in function \"fullmatch\"\n Type \"Unknown \| str \| None\" cannot be assigned to type \"str\"\n Type \"None\" cannot be assigned to type \"str\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:225:12 - error: Operator \"not in\" not supported for types \"Literal['://']\" and \"str \| Unbound\"\n Operator \"not in\" not supported for types \"Literal['://']\" and \"Unbound\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:225:25 - error: \"url\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:226:31 - error: \"url\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:227:48 - error: \"url\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:247:20 - error: \"path\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:254:20 - error: \"url\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:256:47 - error: \"url\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:259:12 - error: \"scheme\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:259:33 - error: \"scheme\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:261:40 - error: \"scheme\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:269:40 - error: \"scheme\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:272:44 - error: \"scheme\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:285:43 - error: \"url\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/curl.py:432:17 - error: \"errormsg\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/finger.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/finger.py:92:16 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/finger.py:95:20 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/finger.py:117:35 - error: \"args\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:82:50 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:84:47 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:86:52 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:265:12 - error: \"inode\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:265:29 - error: \"inode\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:268:12 - error: \"inode\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:271:29 - error: \"newpath\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:487:16 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:493:25 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/fs.py:493:36 - error: \"args\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/perl.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/perl.py:87:22 - error: \"Unbound\" is not iterable (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/perl.py:87:22 - error: \"opts\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/perl.py:97:22 - error: \"Unbound\" is not iterable (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/perl.py:97:22 - error: \"args\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/ssh.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/ssh.py:56:20 - error: \"Unbound\" is not iterable (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/ssh.py:56:20 - error: \"optlist\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/ssh.py:68:20 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/ssh.py:73:30 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/ssh.py:74:20 - error: \"Unbound\" is not iterable (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/ssh.py:74:20 - error: \"optlist\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/ssh.py:77:12 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/ssh.py:78:26 - error: \"args\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/tftp.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/tftp.py:22:34 - error: Argument of type \"bytes \| None\" cannot be assigned to parameter \"__obj\" of type \"Sized\" in function \"len\"\n Type \"bytes \| None\" cannot be assigned to type \"Sized\"\n \"__len__\" is not present (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/tftp.py:55:61 - error: \"metrics\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/wc.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/wc.py:113:48 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/wc.py:115:45 - error: \"optlist\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/wc.py:117:50 - error: \"optlist\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/commands/wget.py\n /home/runner/work/cowrie/cowrie/src/cowrie/commands/wget.py:333:17 - error: \"errormsg\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/core/auth.py\n /home/runner/work/cowrie/cowrie/src/cowrie/core/auth.py:86:26 - error: Cannot access member \"search\" for type \"bytearray\"\n Member \"search\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/auth.py:86:26 - error: Cannot access member \"search\" for type \"memoryview\"\n Member \"search\" is unknown (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/core/output.py\n /home/runner/work/cowrie/cowrie/src/cowrie/core/output.py:229:12 - error: \"sessionno\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/output.py:230:37 - error: \"sessionno\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/output.py:234:27 - error: \"sessionno\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/output.py:235:22 - error: \"sessionno\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/output.py:237:43 - error: \"sessionno\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/output.py:243:31 - error: \"sessionno\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/output.py:244:26 - error: \"sessionno\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/output.py:161:9 - error: Declaration \"ev\" is obscured by a declaration of the same name (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/core/realm.py\n /home/runner/work/cowrie/cowrie/src/cowrie/core/realm.py:50:45 - error: Argument of type \"Self@HoneyPotRealm\" cannot be assigned to parameter \"realm\" of type \"IRealm\" in function \"__init__\"\n \"HoneyPotRealm\" is incompatible with \"IRealm\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/realm.py:51:20 - error: Expression of type \"CowrieUser\" cannot be assigned to declared type \"IConchUser\"\n \"CowrieUser\" is incompatible with \"IConchUser\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/realm.py:52:46 - error: Cannot access member \"logout\" for type \"IConchUser\"\n Member \"logout\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/realm.py:54:45 - error: Argument of type \"Self@HoneyPotRealm\" cannot be assigned to parameter \"realm\" of type \"IRealm\" in function \"__init__\"\n \"HoneyPotRealm\" is incompatible with \"IRealm\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/realm.py:55:20 - error: Expression of type \"HoneyPotTelnetSession\" cannot be assigned to declared type \"IConchUser\"\n \"HoneyPotTelnetSession\" is incompatible with \"IConchUser\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/core/realm.py:56:46 - error: Cannot access member \"logout\" for type \"IConchUser\"\n Member \"logout\" is unknown (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/abuseipdb.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/abuseipdb.py:95:29 - error: \"callLater\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/abuseipdb.py:222:31 - error: \"callLater\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/abuseipdb.py:302:35 - error: \"callLater\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/abuseipdb.py:317:17 - error: \"callInThread\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/abuseipdb.py:119:16 - error: \"tolerated\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/abuseipdb.py:475:21 - error: \"callLater\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/csirtg.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/csirtg.py:17:8 - error: Import \"csirtgsdk\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/datadog.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/datadog.py:40:44 - error: Argument of type \"WebClientContextFactory\" cannot be assigned to parameter \"contextFactory\" of type \"BrowserLikePolicyForHTTPS\" in function \"__init__\"\n \"WebClientContextFactory\" is incompatible with \"BrowserLikePolicyForHTTPS\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/discord.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/discord.py:23:44 - error: Argument of type \"WebClientContextFactory\" cannot be assigned to parameter \"contextFactory\" of type \"BrowserLikePolicyForHTTPS\" in function \"__init__\"\n \"WebClientContextFactory\" is incompatible with \"BrowserLikePolicyForHTTPS\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/dshield.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/dshield.py:173:25 - error: \"callFromThread\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/elasticsearch.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/elasticsearch.py:7:6 - error: Import \"elasticsearch\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/graylog.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/graylog.py:24:44 - error: Argument of type \"WebClientContextFactory\" cannot be assigned to parameter \"contextFactory\" of type \"BrowserLikePolicyForHTTPS\" in function \"__init__\"\n \"WebClientContextFactory\" is incompatible with \"BrowserLikePolicyForHTTPS\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/hpfeeds3.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/hpfeeds3.py:10:6 - error: Import \"hpfeeds.twisted\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/influx.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/influx.py:4:6 - error: Import \"influxdb\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/influx.py:5:6 - error: Import \"influxdb.exceptions\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/misp.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/misp.py:6:6 - error: Import \"pymisp\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/misp.py:14:10 - error: Import \"pymisp\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/misp.py:16:10 - error: Import \"pymisp\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/mongodb.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/mongodb.py:2:8 - error: Import \"pymongo\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/mysql.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/mysql.py:15:8 - error: Import \"mysql.connector\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/oraclecloud.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/oraclecloud.py:5:8 - error: Import \"oci\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/oraclecloud.py:8:8 - error: Import \"oci\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/oraclecloud.py:9:6 - error: Import \"oci\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/redis.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/redis.py:5:8 - warning: Import \"redis\" could not be resolved from source (reportMissingModuleSource)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/rethinkdblog.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/rethinkdblog.py:5:8 - error: Import \"rethinkdb\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/s3.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/s3.py:11:6 - error: Import \"botocore.exceptions\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/s3.py:12:6 - error: Import \"botocore.session\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/slack.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/slack.py:34:6 - error: Import \"slack\" could not be resolved (reportMissingImports)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/splunk.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/splunk.py:43:44 - error: Argument of type \"WebClientContextFactory\" cannot be assigned to parameter \"contextFactory\" of type \"BrowserLikePolicyForHTTPS\" in function \"__init__\"\n \"WebClientContextFactory\" is incompatible with \"BrowserLikePolicyForHTTPS\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/virustotal.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/virustotal.py:97:44 - error: Argument of type \"WebClientContextFactory\" cannot be assigned to parameter \"contextFactory\" of type \"BrowserLikePolicyForHTTPS\" in function \"__init__\"\n \"WebClientContextFactory\" is incompatible with \"BrowserLikePolicyForHTTPS\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/output/xmpp.py\n /home/runner/work/cowrie/cowrie/src/cowrie/output/xmpp.py:6:6 - error: Import \"wokkel\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/xmpp.py:7:6 - error: Import \"wokkel.client\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/xmpp.py:8:6 - error: Import \"wokkel.xmppim\" could not be resolved (reportMissingImports)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/xmpp.py:79:52 - error: Operator \"+\" not supported for \"None\" (reportOptionalOperand)\n /home/runner/work/cowrie/cowrie/src/cowrie/output/xmpp.py:72:56 - error: Argument of type \"list[str \| None]\" cannot be assigned to parameter \"tuple\" of type \"Tuple[str \| None, str, str \| None] \| None\" in function \"__init__\"\n Type \"list[str \| None]\" cannot be assigned to type \"Tuple[str \| None, str, str \| None] \| None\"\n \"list[str \| None]\" is incompatible with \"Tuple[str \| None, str, str \| None]\"\n Type cannot be assigned to type \"None\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/pool_interface/client.py\n /home/runner/work/cowrie/cowrie/src/cowrie/pool_interface/client.py:43:24 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/pool_interface/client.py:43:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/pool_interface/client.py:49:24 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/pool_interface/client.py:49:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/pool_interface/client.py:56:28 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/pool_interface/client.py:56:28 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/python/logfile.py\n /home/runner/work/cowrie/cowrie/src/cowrie/python/logfile.py:42:32 - error: Argument of type \"CowrieDailyLogFile\" cannot be assigned to parameter \"outFile\" of type \"IO[Any]\" in function \"textFileLogObserver\"\n \"CowrieDailyLogFile\" is incompatible with \"IO[Any]\" (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/scripts/createfs.py\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/createfs.py:169:17 - error: \"Unbound\" is not iterable (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/createfs.py:169:17 - error: \"optlist\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/scripts/playlog.py\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/playlog.py:110:30 - error: \"Unbound\" is not iterable (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/playlog.py:110:30 - error: \"optlist\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/playlog.py:115:17 - error: \"Unbound\" is not iterable (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/playlog.py:115:17 - error: \"optlist\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/playlog.py:129:12 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/playlog.py:133:24 - error: \"Unbound\" is not iterable (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/playlog.py:133:24 - error: \"args\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/scripts/playlog.py:137:56 - error: \"logfile\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:142:16 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:142:25 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:173:40 - error: Operator \"+\" not supported for types \"str \| Unbound \| Unknown\" and \"Literal[' ']\"\n Operator \"+\" not supported for types \"Unbound\" and \"Literal[' ']\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:146:24 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:148:34 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:148:45 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:151:25 - error: Operator \"+=\" not supported for types \"Unbound \| str \| Unknown\" and \"str\"\n Operator \"+\" not supported for types \"Unbound\" and \"str\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:151:25 - error: \"result\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:151:61 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:151:72 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:154:24 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:154:34 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:155:37 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:155:46 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:161:21 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:162:18 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:162:27 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:162:33 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:165:17 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:167:54 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:167:65 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:173:40 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:175:21 - error: Operator \"+=\" not supported for types \"Unbound \| str \| Unknown\" and \"str \| Unknown\"\n Operator \"+\" not supported for types \"Unbound\" and \"str\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:175:21 - error: \"result\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:175:31 - error: \"cmd_expr\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:175:40 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:176:17 - error: \"pos\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:178:16 - error: \"result\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:337:44 - error: \"cmdclass\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:412:12 - error: \"basedir\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:416:19 - error: \"basedir\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:417:16 - error: \"basedir\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:442:56 - error: \"basedir\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/honeypot.py:455:43 - error: \"basedir\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:77:30 - error: Cannot access member \"transport\" for type \"None\"\n Member \"transport\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:84:22 - error: \"logDispatch\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:95:65 - error: \"server\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:121:23 - error: Cannot access member \"transport\" for type \"None\"\n Member \"transport\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:160:28 - error: \"resolve_path\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:161:28 - error: \"exists\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:164:34 - error: \"resolve_path\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:165:28 - error: \"exists\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:218:23 - error: Cannot access member \"transport\" for type \"None\"\n Member \"transport\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:285:27 - error: Cannot access member \"write\" for type \"None\"\n Member \"write\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:285:41 - error: \"file_contents\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:293:23 - error: Cannot access member \"write\" for type \"None\"\n Member \"write\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:344:23 - error: Cannot access member \"eraseToLineEnd\" for type \"None\"\n Member \"eraseToLineEnd\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:322:27 - error: Cannot access member \"write\" for type \"None\"\n Member \"write\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:352:23 - error: Cannot access member \"eraseDisplay\" for type \"None\"\n Member \"eraseDisplay\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:353:23 - error: Cannot access member \"cursorHome\" for type \"None\"\n Member \"cursorHome\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:358:27 - error: Cannot access member \"cursorBackward\" for type \"None\"\n Member \"cursorBackward\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:359:27 - error: Cannot access member \"deleteCharacter\" for type \"None\"\n Member \"deleteCharacter\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/shell/protocol.py:384:30 - error: Cannot access member \"transport\" for type \"None\"\n Member \"transport\" is unknown (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/ssh/channel.py\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/channel.py:58:23 - error: \"transport\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/ssh/connection.py\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/connection.py:57:28 - error: Cannot access member \"sendPacket\" for type \"None\"\n Member \"sendPacket\" is unknown (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/ssh/factory.py\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/factory.py:60:28 - error: Cannot access member \"tac\" for type \"CowrieSSHFactory\"\n Member \"tac\" is unknown (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/ssh/forwarding.py\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/forwarding.py:174:16 - error: \"res_code\" is possibly unbound (reportUnboundVariable)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/forwarding.py:175:54 - error: \"res_code\" is possibly unbound (reportUnboundVariable)\n/home/runner/work/cowrie/cowrie/src/cowrie/ssh/session.py\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/session.py:37:26 - error: Cannot access member \"environ\" for type \"ISession\"\n Member \"environ\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/session.py:68:19 - error: \"sendEOF\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/session.py:74:19 - error: \"sendClose\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/ssh/userauth.py\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/userauth.py:36:9 - error: Argument of type \"type[IUsername]\" cannot be assigned to parameter \"__key\" of type \"type[ISSHPrivateKey] \| type[IUsernamePassword]\" in function \"__setitem__\"\n Type \"type[IUsername]\" cannot be assigned to type \"type[ISSHPrivateKey] \| type[IUsernamePassword]\"\n \"type[IUsername]\" is incompatible with \"type[ISSHPrivateKey]\"\n Type \"type[IUsername]\" cannot be assigned to type \"type[ISSHPrivateKey]\"\n \"type[IUsername]\" is incompatible with \"type[IUsernamePassword]\"\n Type \"type[IUsername]\" cannot be assigned to type \"type[IUsernamePassword]\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/userauth.py:43:13 - error: Argument of type \"type[IPluggableAuthenticationModulesIP]\" cannot be assigned to parameter \"__key\" of type \"type[ISSHPrivateKey] \| type[IUsernamePassword]\" in function \"__setitem__\"\n Type \"type[IPluggableAuthenticationModulesIP]\" cannot be assigned to type \"type[ISSHPrivateKey] \| type[IUsernamePassword]\"\n \"type[IPluggableAuthenticationModulesIP]\" is incompatible with \"type[ISSHPrivateKey]\"\n Type \"type[IPluggableAuthenticationModulesIP]\" cannot be assigned to type \"type[ISSHPrivateKey]\"\n \"type[IPluggableAuthenticationModulesIP]\" is incompatible with \"type[IUsernamePassword]\"\n Type \"type[IPluggableAuthenticationModulesIP]\" cannot be assigned to type \"type[IUsernamePassword]\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh/userauth.py:65:24 - error: Cannot access member \"sendPacket\" for type \"None\"\n Member \"sendPacket\" is unknown (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/client_transport.py\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/client_transport.py:55:63 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/client_transport.py:55:73 - error: Cannot access member \"host\" for type \"IAddress\"\n Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/client_transport.py:129:24 - error: Cannot access member \"connectionLost\" for type \"ITransport\"\n Member \"connectionLost\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/client_transport.py:129:24 - error: \"connectionLost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/client_transport.py:142:24 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:95:39 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:95:49 - error: Cannot access member \"host\" for type \"IAddress\"\n Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:96:41 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:96:51 - error: Cannot access member \"port\" for type \"IAddress\"\n Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:97:40 - error: \"getHost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:97:50 - error: Cannot access member \"host\" for type \"IAddress\"\n Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:98:42 - error: \"getHost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:98:52 - error: Cannot access member \"port\" for type \"IAddress\"\n Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:100:24 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:100:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:110:37 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:110:47 - error: Cannot access member \"port\" for type \"IAddress\"\n Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:112:37 - error: \"getHost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:112:47 - error: Cannot access member \"port\" for type \"IAddress\"\n Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:114:42 - error: Cannot access member \"sessionno\" for type \"ITransport\"\n Member \"sessionno\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:114:42 - error: \"sessionno\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:124:30 - error: Cannot access member \"pool_handler\" for type \"Factory\"\n Member \"pool_handler\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:124:30 - error: \"pool_handler\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:137:24 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:163:24 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:197:24 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:197:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:198:24 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:228:36 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:270:44 - error: \"append\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:293:24 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:293:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:337:26 - error: \"client\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:337:51 - error: \"client\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:338:27 - error: \"client\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:362:24 - error: Cannot access member \"connectionLost\" for type \"ITransport\"\n Member \"connectionLost\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:362:24 - error: \"connectionLost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:366:26 - error: \"client\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:366:51 - error: \"client\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:367:27 - error: \"client\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:371:71 - error: \"client\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:371:38 - error: \"client\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:400:28 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:400:28 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:402:28 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/server_transport.py:431:31 - error: \"parse_num_packet\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/userauth.py\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/userauth.py:30:24 - error: Cannot access member \"sendPacket\" for type \"None\"\n Member \"sendPacket\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/userauth.py:31:24 - error: Cannot assign member \"frontendAuthenticated\" for type \"None\"\n Member \"frontendAuthenticated\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/userauth.py:34:27 - error: Cannot access member \"sshParse\" for type \"None\"\n Member \"sshParse\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/ssh_proxy/userauth.py:35:28 - error: Cannot access member \"sshParse\" for type \"None\"\n Member \"sshParse\" is unknown (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/telnet/factory.py\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/factory.py:45:32 - error: Cannot access member \"output_plugins\" for type \"IPlugin\"\n Member \"output_plugins\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/factory.py:81:13 - error: Object of type \"None\" cannot be called (reportOptionalCall)\n/home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:71:27 - error: Cannot access member \"options\" for type \"ITransport\"\n Member \"options\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:71:27 - error: \"options\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:72:28 - error: Cannot access member \"willChain\" for type \"ITransport\"\n Member \"willChain\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:72:28 - error: \"willChain\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:73:28 - error: Cannot access member \"willChain\" for type \"ITransport\"\n Member \"willChain\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:73:28 - error: \"willChain\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:111:22 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:123:26 - error: \"conn\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:134:22 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:143:22 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:149:29 - error: \"transport\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:155:29 - error: \"transport\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:158:22 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:161:22 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/session.py:164:22 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:28:36 - error: Cannot access member \"sessionno\" for type \"ITransport\"\n Member \"sessionno\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:28:36 - error: \"sessionno\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:37:35 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:37:45 - error: Cannot access member \"host\" for type \"IAddress\"\n Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:38:37 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:38:47 - error: Cannot access member \"port\" for type \"IAddress\"\n Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:39:35 - error: \"getHost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:39:45 - error: Cannot access member \"host\" for type \"IAddress\"\n Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:40:37 - error: \"getHost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:40:47 - error: Cannot access member \"port\" for type \"IAddress\"\n Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:56:24 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:56:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/transport.py:64:24 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:45:24 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:45:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:45:43 - error: Cannot access member \"banner\" for type \"Factory\"\n Member \"banner\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:45:43 - error: \"banner\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:46:24 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:46:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:61:24 - error: Cannot access member \"willChain\" for type \"ITransport\"\n Member \"willChain\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:61:24 - error: \"willChain\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:63:24 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:63:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:71:42 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:71:52 - error: Cannot access member \"host\" for type \"IAddress\"\n Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:71:18 - error: Cannot assign member \"src_ip\" for type \"HoneyPotTelnetAuthProtocol\"\n Member \"src_ip\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:72:65 - error: Cannot access member \"src_ip\" for type \"HoneyPotTelnetAuthProtocol\"\n Member \"src_ip\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:73:47 - error: Cannot access member \"src_ip\" for type \"HoneyPotTelnetAuthProtocol\"\n Member \"src_ip\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:104:24 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:104:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:107:24 - error: Cannot access member \"setTimeout\" for type \"ITransport\"\n Member \"setTimeout\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:107:24 - error: \"setTimeout\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:117:24 - error: Cannot access member \"wontChain\" for type \"ITransport\"\n Member \"wontChain\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:117:24 - error: \"wontChain\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:118:24 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:118:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:119:24 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:119:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:78:27 - error: Cannot access member \"options\" for type \"ITransport\"\n Member \"options\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:78:27 - error: \"options\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:83:28 - error: Cannot access member \"wontChain\" for type \"ITransport\"\n Member \"wontChain\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:83:28 - error: \"wontChain\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:91:24 - error: Cannot access member \"protocol\" for type \"ITransport\"\n Member \"protocol\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:91:24 - error: \"protocol\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:113:24 - error: Cannot assign member \"protocol\" for type \"ITransport\"\n Member \"protocol\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet/userauth.py:113:24 - error: \"protocol\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:20:66 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:20:76 - error: Cannot access member \"host\" for type \"IAddress\"\n Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:21:43 - error: Cannot access member \"server\" for type \"Factory\"\n Member \"server\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:21:43 - error: \"server\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:25:22 - error: Cannot access member \"server\" for type \"Factory\"\n Member \"server\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:25:22 - error: \"server\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:27:36 - error: Cannot access member \"server\" for type \"Factory\"\n Member \"server\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:27:36 - error: \"server\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:28:28 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:28:28 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:29:22 - error: Cannot access member \"server\" for type \"Factory\"\n Member \"server\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:29:22 - error: \"server\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:36:22 - error: Cannot access member \"server\" for type \"Factory\"\n Member \"server\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:36:22 - error: \"server\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:39:28 - error: \"close\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:49:24 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:50:22 - error: Cannot access member \"server\" for type \"Factory\"\n Member \"server\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:50:22 - error: \"server\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:53:28 - error: \"close\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:56:28 - error: \"addPacket\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:59:24 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:59:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:66:22 - error: Cannot access member \"server\" for type \"Factory\"\n Member \"server\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/client_transport.py:66:22 - error: \"server\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:53:36 - error: Cannot access member \"sessionno\" for type \"ITransport\"\n Member \"sessionno\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:53:36 - error: \"sessionno\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:55:39 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:55:49 - error: Cannot access member \"host\" for type \"IAddress\"\n Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:56:41 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:56:51 - error: Cannot access member \"port\" for type \"IAddress\"\n Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:57:40 - error: \"getHost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:57:50 - error: Cannot access member \"host\" for type \"IAddress\"\n Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:58:42 - error: \"getHost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:58:52 - error: Cannot access member \"port\" for type \"IAddress\"\n Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:63:35 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:63:45 - error: Cannot access member \"host\" for type \"IAddress\"\n Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:64:37 - error: \"getPeer\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:64:47 - error: Cannot access member \"port\" for type \"IAddress\"\n Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:65:35 - error: \"getHost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:65:45 - error: Cannot access member \"host\" for type \"IAddress\"\n Member \"host\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:66:37 - error: \"getHost\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:66:47 - error: Cannot access member \"port\" for type \"IAddress\"\n Member \"port\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:80:30 - error: Cannot access member \"pool_handler\" for type \"Factory\"\n Member \"pool_handler\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:80:30 - error: \"pool_handler\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:93:24 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:119:24 - error: \"loseConnection\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:132:24 - error: Cannot assign member \"server\" for type \"BackendTelnetFactory\"\n Member \"server\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:143:24 - error: \n Could not bind method \"write\" because \"ITransport\" is not assignable to parameter \"data\"\n \"ITransport\" is incompatible with \"bytes\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:143:24 - error: \"write\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:196:28 - error: Cannot access member \"backendConnected\" for type \"None\"\n Member \"backendConnected\" is unknown (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/telnet_proxy/server_transport.py:204:29 - error: Cannot access member \"transport\" for type \"None\"\n Member \"transport\" is unknown (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/test/fake_transport.py\n /home/runner/work/cowrie/cowrie/src/cowrie/test/fake_transport.py:103:13 - error: Argument of type \"Literal[True]\" cannot be assigned to parameter \"__value\" of type \"(...) -> Unknown\" in function \"__setitem__\"\n Type \"Literal[True]\" cannot be assigned to type \"(...) -> Unknown\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/fake_transport.py:133:14 - error: Cannot assign member \"modes\" for type \"FakeTransport\"\n Member \"modes\" cannot be assigned through a class instance because it is a ClassVar (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/fake_transport.py:164:55 - error: Cannot assign member \"sessions\" for type \"Container\"\n Member \"sessions\" cannot be assigned through a class instance because it is a ClassVar (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/cowrie/test/test_base_commands.py\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_base_commands.py:192:24 - error: \"file_contents\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_base_commands.py:268:39 - error: \"exists\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_base_commands.py:269:39 - error: \"isdir\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_base_commands.py:288:40 - error: \"exists\" is not a known member of \"None\" (reportOptionalMemberAccess)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_base_commands.py:307:39 - error: \"exists\" is not a known member of \"None\" (reportOptionalMemberAccess)\n/home/runner/work/cowrie/cowrie/src/cowrie/test/test_proxy.py\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_proxy.py:26:36 - error: Argument of type \"HoneyPotRealm\" cannot be assigned to parameter \"realm\" of type \"IRealm\" in function \"__init__\"\n \"HoneyPotRealm\" is incompatible with \"IRealm\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_proxy.py:27:36 - error: Argument of type \"HoneypotPublicKeyChecker\" cannot be assigned to parameter \"checker\" of type \"ICredentialsChecker\" in function \"registerChecker\"\n \"HoneypotPublicKeyChecker\" is incompatible with \"ICredentialsChecker\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_proxy.py:28:36 - error: Argument of type \"HoneypotPasswordChecker\" cannot be assigned to parameter \"checker\" of type \"ICredentialsChecker\" in function \"registerChecker\"\n \"HoneypotPasswordChecker\" is incompatible with \"ICredentialsChecker\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_proxy.py:69:41 - error: \"listenTCP\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_proxy.py:85:41 - error: \"listenTCP\" is not a known member of module \"twisted.internet.reactor\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/cowrie/test/test_proxy.py:97:46 - error: Cannot access member \"running\" for type \"CowrieSSHFactory\"\n Member \"running\" is unknown (reportGeneralTypeIssues)\n/home/runner/work/cowrie/cowrie/src/twisted/plugins/cowrie_plugin.py\n /home/runner/work/cowrie/cowrie/src/twisted/plugins/cowrie_plugin.py:85:32 - error: Argument of type \"(event: dict[Unknown, Unknown]) -> None\" cannot be assigned to parameter \"observer\" of type \"ILogObserver\" in function \"addObserver\"\n \"function\" is incompatible with \"ILogObserver\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/twisted/plugins/cowrie_plugin.py:239:49 - error: \"realm\" is not a known member of module \"cowrie.core\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/twisted/plugins/cowrie_plugin.py:240:49 - error: \"checkers\" is not a known member of module \"cowrie.core\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/twisted/plugins/cowrie_plugin.py:241:49 - error: \"checkers\" is not a known member of module \"cowrie.core\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/twisted/plugins/cowrie_plugin.py:244:53 - error: \"checkers\" is not a known member of module \"cowrie.core\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/twisted/plugins/cowrie_plugin.py:259:21 - error: Cannot assign member \"tac\" for type \"HoneyPotTelnetFactory\"\n \"CowrieServiceMaker\" is incompatible with \"IPlugin\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/twisted/plugins/cowrie_plugin.py:260:43 - error: \"realm\" is not a known member of module \"cowrie.core\" (reportGeneralTypeIssues)\n /home/runner/work/cowrie/cowrie/src/twisted/plugins/cowrie_plugin.py:261:43 - error: \"checkers\" is not a known member of module \"cowrie.core\" (reportGeneralTypeIssues)\n385 errors, 50 warnings, 0 informations \nWARNING: there is a new pyright version available (v1.1.333 -> v1.1.335).\nPlease install the new version or set PYRIGHT_PYTHON_FORCE_VERSION to `latest`\n\ntyping: exit 1 (21.96 seconds) /home/runner/work/cowrie/cowrie> pyright src pid=2326\ntyping: command failed but is marked ignore outcome so handling it as success\n##[endgroup]\ntyping: OK ✔ in 1 minute 45.12 seconds\npy310: install_deps> python -I -m pip install -r /home/runner/work/cowrie/cowrie/requirements.txt\npy310: freeze> python -m pip freeze --all\npy310: appdirs==1.4.4,attrs==23.1.0,Automat==22.10.0,bcrypt==4.0.1,certifi==2023.7.22,cffi==1.16.0,charset-normalizer==3.3.2,configparser==6.0.0,constantly==23.10.4,cryptography==41.0.4,hyperlink==21.0.0,idna==3.4,incremental==22.10.0,packaging==23.2,pip==23.3.1,pyasn1==0.5.0,pyasn1-modules==0.3.0,pycparser==2.21,pyOpenSSL==23.2.0,pyparsing==3.1.1,python-dateutil==2.8.2,requests==2.31.0,service-identity==23.1.0,setuptools==68.2.2,six==1.16.0,tftpy==0.8.2,treq==22.2.0,Twisted==23.10.0,typing_extensions==4.8.0,urllib3==2.0.7,wheel==0.41.2,zope.interface==6.1\n##[group]tox: py310\npy310: commands[0]> python -m unittest discover src --verbose\n/home/runner/work/cowrie/cowrie/.tox/py310/lib/python3.10/site-packages/twisted/conch/ssh/transport.py:106: CryptographyDeprecationWarning: Blowfish has been deprecated\n b\"blowfish-cbc\": (algorithms.Blowfish, 16, modes.CBC),\n/home/runner/work/cowrie/cowrie/.tox/py310/lib/python3.10/site-packages/twisted/conch/ssh/transport.py:110: CryptographyDeprecationWarning: CAST5 has been deprecated\n b\"cast128-cbc\": (algorithms.CAST5, 16, modes.CBC),\n/home/runner/work/cowrie/cowrie/.tox/py310/lib/python3.10/site-packages/twisted/conch/ssh/transport.py:115: CryptographyDeprecationWarning: Blowfish has been deprecated\n b\"blowfish-ctr\": (algorithms.Blowfish, 16, modes.CTR),\n/home/runner/work/cowrie/cowrie/.tox/py310/lib/python3.10/site-packages/twisted/conch/ssh/transport.py:116: CryptographyDeprecationWarning: CAST5 has been deprecated\n b\"cast128-ctr\": (algorithms.CAST5, 16, modes.CTR),\ntest_awk_command_001 (cowrie.test.test_awk.ShellEchoCommandTests) ... ok\ntest_awk_command_002 (cowrie.test.test_awk.ShellEchoCommandTests) ... ok\ntest_awk_command_003 (cowrie.test.test_awk.ShellEchoCommandTests) ... ok\ntest_awk_command_004 (cowrie.test.test_awk.ShellEchoCommandTests) ... ok\ntest_awk_command_005 (cowrie.test.test_awk.ShellEchoCommandTests) ... ok\ntest_base64_command_001 (cowrie.test.test_base64.ShellBase64CommandTests) ... ok\ntest_base64_command_002 (cowrie.test.test_base64.ShellBase64CommandTests) ... ok\ntest_alias_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_bash_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_cd_error_output (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_cd_output (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_chattr_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_chgrp_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_chown_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_clear_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_date_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_exit_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_export_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_hostname_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_id_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_jobs_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_kill_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_killall5_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_killall_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_logout_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_passwd_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_php_help_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_php_version_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_pkill_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_poweroff_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_reset_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_set_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_sh_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_shutdown_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_su_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_umask_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_unset_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_users_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_whoami_command (cowrie.test.test_base_commands.ShellBaseCommandsTests) ... ok\ntest_cat_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_cp_error_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_cp_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_grep_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_head_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_mkdir_error_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_mkdir_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_mv_error_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_mv_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_pwd_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_rm_error_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_rm_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_rmdir_error_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_rmdir_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_tail_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_touch_output (cowrie.test.test_base_commands.ShellFileCommandsTests) ... ok\ntest_shell_pipe_with_cat_head (cowrie.test.test_base_commands.ShellPipeCommandsTests) ... ok\ntest_shell_pipe_with_cat_tail (cowrie.test.test_base_commands.ShellPipeCommandsTests) ... ok\ntest_cat_command_001 (cowrie.test.test_cat.ShellCatCommandTests) ... ok\ntest_cat_command_002 (cowrie.test.test_cat.ShellCatCommandTests) ... ok\ntest_cat_command_003 (cowrie.test.test_cat.ShellCatCommandTests) ... ok\ntest_cat_command_004 (cowrie.test.test_cat.ShellCatCommandTests) ... ok\ntest_chmod_command_001 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_002 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_003 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_004 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_005 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_006 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_007 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_008 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_009 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_010 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_011 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_012 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_013 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_014 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_chmod_command_015 (cowrie.test.test_chmod.ShellChmodCommandTests) ... ok\ntest_echo_command_001 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_002 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_003 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_005 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_006 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_007 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_008 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_009 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_010 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_011 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_012 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_013 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_014 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_015 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_016 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_017 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_018 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_019 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_020 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_021 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_022 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_023 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_024 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_025 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_026 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_027 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_028 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_echo_command_029 (cowrie.test.test_echo.ShellEchoCommandTests) ... ok\ntest_help_command (cowrie.test.test_ftpget.ShellFtpGetCommandTests) ... ok\ntest_tee_command_001 (cowrie.test.test_tee.ShellTeeCommandTests) ... ok\ntest_tee_command_002 (cowrie.test.test_tee.ShellTeeCommandTests) ... ok\ntest_tee_command_003 (cowrie.test.test_tee.ShellTeeCommandTests) ... ok\ntest_tee_command_004 (cowrie.test.test_tee.ShellTeeCommandTests) ... ok\ntest_tee_command_005 (cowrie.test.test_tee.ShellTeeCommandTests) ... ok\ntest_echo_command_001 (cowrie.test.test_tftp.ShellTftpCommandTests) ... ok\ntest_uniq_command_001 (cowrie.test.test_uniq.ShellUniqCommandTests) ... ok\ntest_uniq_command_002 (cowrie.test.test_uniq.ShellUniqCommandTests) ... ok\ntest_uniq_command_003 (cowrie.test.test_uniq.ShellUniqCommandTests) ... ok\ntest_create_endpoint_services (cowrie.test.test_utils.UtilsTestCase) ... ok\ntest_durationHuman (cowrie.test.test_utils.UtilsTestCase) ... ok\ntest_get_endpoints_from_section (cowrie.test.test_utils.UtilsTestCase) ... ok\n\n----------------------------------------------------------------------\nRan 117 tests in 3.825s\n\nOK\n##[endgroup]\n lint: FAIL code 1 (36.55=setup[36.46]+cmd[0.10] seconds)\n docs: OK (40.98=setup[36.63]+cmd[4.35] seconds)\n typing: OK (105.11=setup[37.40]+cmd[15.97,27.33,0.92,1.53,21.96] seconds)\n py310: OK (16.46=setup[10.64]+cmd[5.82] seconds)\n evaluation failed :( (199.49 seconds)\n##[error]Process completed with exit code 255.\n" } ]	diff --git a/src/cowrie/output/oraclecloud.py b/src/cowrie/output/oraclecloud.py index d2dfc3e4..db369d22 100644 --- a/src/cowrie/output/oraclecloud.py +++ b/src/cowrie/output/oraclecloud.py @@ -1,13 +1,13 @@ from __future__ import annotations -import json -from configparser import NoOptionError -import oci +import datetime +import json import secrets import string + import oci -from oci import auth -import datetime + +from twisted.python import log import cowrie.core.output from cowrie.core.config import CowrieConfig @@ -17,14 +17,11 @@ class Output(cowrie.core.output.Output): """ Oracle Cloud output """ - - def generate_random_log_id(self): charset = string.ascii_letters + string.digits - random_log_id = ''.join(secrets.choice(charset) for _ in range(32)) + random_log_id = "".join(secrets.choice(charset) for _ in range(32)) return f"cowrielog-{random_log_id}" - def sendLogs(self, logentry): log_id = self.generate_random_log_id() # Initialize service client with default config file @@ -50,20 +47,18 @@ class Output(cowrie.core.output.Output): type="cowrie")]), timestamp_opc_agent_processing=current_time.strftime("%Y-%m-%dT%H:%M:%S.%fZ")) except oci.exceptions.ServiceError as ex: - print( + log.err( f"Oracle Cloud plugin Error: {ex.message}\n" + f"Oracle Cloud plugin Status Code: {ex.status}\n" ) except Exception as ex: - print(f"Oracle Cloud plugin Error: {ex}") + log.err(f"Oracle Cloud plugin Error: {ex}") raise - def start(self): """ Initialize Oracle Cloud LoggingClient with user or instance principal authentication """ - authtype=CowrieConfig.get("output_oraclecloud", "authtype") if authtype == "instance_principals":	2	[ "src/cowrie/output/oraclecloud.py" ]	https://github.com/cowrie/cowrie/tree/55f8e6684499eb6abe5b1c1dba01ca4c90d2c949	2023-11-10T08:02:33Z
Python	196	danielegrattarola	spektral	master	Run examples	examples.yml	.github/workflows/examples.yml	danielegrattarola	386bf6f0815368b78261be43bf90e203dfe9c13f	bf6071475028cf9711b8264e8952deb2aee2e32b	name: Run examples on: [push, pull_request] jobs: build: runs-on: ubuntu-latest services: pypi_wayback: image: ghcr.io/waleko/pypi-wayback ports: - 8629:8080 steps: - uses: actions/checkout@v2 - name: Set up Python 3.11 uses: actions/setup-python@v2 with: python-version: 3.11 - name: Install dependencies run: \| pip install ogb matplotlib - name: Install Spektral run: \| pip install . - name: Just one epoch run: \| sed -i -e 's/epochs = /epochs = 1 #/g' examples/node_prediction/.py sed -i -e 's/epochs = /epochs = 1 #/g' examples/graph_prediction/.py sed -i -e 's/epochs = /epochs = 1 #/g' examples/other/.py - name: Run all examples run: \| cd examples/node_prediction/ for f in .py; do echo "##### $f #####" python $f done cd .. cd graph_prediction/ for f in .py; do echo "##### $f #####" python $f done cd .. cd other/ for f in .py; do echo "##### $f #####" python $f done cd .. env: PIP_INDEX_URL: http://localhost:8629/2024-01-21 UV_INDEX_URL: http://localhost:8629/2024-01-21	[ { "step_name": "build/7_Run all examples.txt", "log": "##[group]Run cd examples/node_prediction/\n\u001b[36;1mcd examples/node_prediction/\u001b[0m\n\u001b[36;1mfor f in .py; do\u001b[0m\n\u001b[36;1m echo \"##### $f #####\"\u001b[0m\n\u001b[36;1m python $f\u001b[0m\n\u001b[36;1mdone\u001b[0m\n\u001b[36;1mcd ..\u001b[0m\n\u001b[36;1mcd graph_prediction/\u001b[0m\n\u001b[36;1mfor f in .py; do\u001b[0m\n\u001b[36;1m echo \"##### $f #####\"\u001b[0m\n\u001b[36;1m python $f\u001b[0m\n\u001b[36;1mdone\u001b[0m\n\u001b[36;1mcd ..\u001b[0m\n\u001b[36;1mcd other/\u001b[0m\n\u001b[36;1mfor f in .py; do\u001b[0m\n\u001b[36;1m echo \"##### $f #####\"\u001b[0m\n\u001b[36;1m python $f\u001b[0m\n\u001b[36;1mdone\u001b[0m\n\u001b[36;1mcd ..\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.11.7/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.7/x64/lib\n##[endgroup]\n##### citation_arma.py #####\n2024-01-21 16:14:04.697281: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-01-21 16:14:04.697333: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-01-21 16:14:04.698603: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n2024-01-21 16:14:04.704823: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-01-21 16:14:05.946659: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/scipy/sparse/_index.py:145: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n self._set_arrayXarray(i, j, x)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/keras/src/initializers/initializers.py:120: UserWarning: The initializer GlorotUniform is unseeded and being called multiple times, which will return identical values each time (even if the initializer is unseeded). Please update your code to provide a seed to the initializer, or avoid using the same initializer instance more than once.\n warnings.warn(\nDownloading cora dataset.\nModel: \"model\"\n__________________________________________________________________________________________________\n Layer (type) Output Shape Param # Connected to \n==================================================================================================\n input_1 (InputLayer) [(None, 1433)] 0 [] \n \n input_2 (InputLayer) [(None, 2708)] 0 [] \n \n arma_conv (ARMAConv) (None, 16) 91744 ['input_1[0][0]', \n 'input_2[0][0]'] \n \n dropout (Dropout) (None, 16) 0 ['arma_conv[0][0]'] \n \n arma_conv_1 (ARMAConv) (None, 7) 231 ['dropout[0][0]', \n 'input_2[0][0]'] \n \n==================================================================================================\nTotal params: 91975 (359.28 KB)\nTrainable params: 91975 (359.28 KB)\nNon-trainable params: 0 (0.00 Byte)\n__________________________________________________________________________________________________\n\n1/1 [==============================] - ETA: 0s - loss: 0.1167 - acc: 0.1714\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 1s 938ms/step - loss: 0.1167 - acc: 0.1714 - val_loss: 0.3394 - val_acc: 0.3080\nEvaluating model.\n\n1/1 [==============================] - ETA: 0s - loss: 0.6695 - acc: 0.3360\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 0s 12ms/step - loss: 0.6695 - acc: 0.3360\nDone.\nTest loss: 0.6695395708084106\nTest accuracy: 0.335999995470047\n##### citation_cheby.py #####\n2024-01-21 16:14:13.031828: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-01-21 16:14:13.031877: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-01-21 16:14:13.033233: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n2024-01-21 16:14:13.039361: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-01-21 16:14:13.892745: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/scipy/sparse/_index.py:145: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n self._set_arrayXarray(i, j, x)\nModel: \"model\"\n__________________________________________________________________________________________________\n Layer (type) Output Shape Param # Connected to \n==================================================================================================\n input_1 (InputLayer) [(None, 1433)] 0 [] \n \n dropout (Dropout) (None, 1433) 0 ['input_1[0][0]'] \n \n input_2 (InputLayer) [(None, 2708)] 0 [] \n \n cheb_conv (ChebConv) (None, 16) 45856 ['dropout[0][0]', \n 'input_2[0][0]'] \n \n dropout_1 (Dropout) (None, 16) 0 ['cheb_conv[0][0]'] \n \n cheb_conv_1 (ChebConv) (None, 7) 224 ['dropout_1[0][0]', \n 'input_2[0][0]'] \n \n==================================================================================================\nTotal params: 46080 (180.00 KB)\nTrainable params: 46080 (180.00 KB)\nNon-trainable params: 0 (0.00 Byte)\n__________________________________________________________________________________________________\n\n1/1 [==============================] - ETA: 0s - loss: 1.9901 - acc: 0.1357\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 0s 492ms/step - loss: 1.9901 - acc: 0.1357 - val_loss: 1.9229 - val_acc: 0.2740\nEvaluating model.\n\n1/1 [==============================] - ETA: 0s - loss: 1.9236 - acc: 0.2650\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 0s 15ms/step - loss: 1.9236 - acc: 0.2650\nDone.\nTest loss: 1.9235953092575073\nTest accuracy: 0.26499998569488525\n##### citation_gat.py #####\n2024-01-21 16:14:17.870770: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-01-21 16:14:17.870818: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-01-21 16:14:17.872219: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n2024-01-21 16:14:17.878280: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-01-21 16:14:18.689165: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/scipy/sparse/_index.py:145: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n self._set_arrayXarray(i, j, x)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/keras/src/initializers/initializers.py:120: UserWarning: The initializer GlorotUniform is unseeded and being called multiple times, which will return identical values each time (even if the initializer is unseeded). Please update your code to provide a seed to the initializer, or avoid using the same initializer instance more than once.\n warnings.warn(\nPre-processing node features\nModel: \"model\"\n__________________________________________________________________________________________________\n Layer (type) Output Shape Param # Connected to \n==================================================================================================\n input_1 (InputLayer) [(None, 1433)] 0 [] \n \n dropout (Dropout) (None, 1433) 0 ['input_1[0][0]'] \n \n input_2 (InputLayer) [(None, 2708)] 0 [] \n \n gat_conv (GATConv) (None, 64) 91904 ['dropout[0][0]', \n 'input_2[0][0]'] \n \n dropout_1 (Dropout) (None, 64) 0 ['gat_conv[0][0]'] \n \n gat_conv_1 (GATConv) (None, 7) 469 ['dropout_1[0][0]', \n 'input_2[0][0]'] \n \n==================================================================================================\nTotal params: 92373 (360.83 KB)\nTrainable params: 92373 (360.83 KB)\nNon-trainable params: 0 (0.00 Byte)\n__________________________________________________________________________________________________\n\n1/1 [==============================] - ETA: 0s - loss: 1.9498 - acc: 0.1429\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 2s 2s/step - loss: 1.9498 - acc: 0.1429 - val_loss: 1.9496 - val_acc: 0.2020\nEvaluating model.\n\n1/1 [==============================] - ETA: 0s - loss: 1.9495 - acc: 0.2120\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 0s 15ms/step - loss: 1.9495 - acc: 0.2120\nDone.\nTest loss: 1.9495328664779663\nTest accuracy: 0.21199998259544373\n##### citation_gat_custom.py #####\n2024-01-21 16:14:24.090507: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-01-21 16:14:24.090565: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-01-21 16:14:24.092222: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n2024-01-21 16:14:24.098707: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-01-21 16:14:24.924070: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/scipy/sparse/_index.py:145: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n self._set_arrayXarray(i, j, x)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/keras/src/initializers/initializers.py:120: UserWarning: The initializer GlorotUniform is unseeded and being called multiple times, which will return identical values each time (even if the initializer is unseeded). Please update your code to provide a seed to the initializer, or avoid using the same initializer instance more than once.\n warnings.warn(\nPre-processing node features\nLoss tr: 1.9471, Acc tr: 0.3214, Loss va: 1.9493, Acc va: 0.1920, Loss te: 1.9494, Acc te: 0.1790\nImproved\nGAT (1 epochs)\nElapsed: 2.46s\n##### citation_gcn.py #####\n2024-01-21 16:14:30.891866: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-01-21 16:14:30.891915: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-01-21 16:14:30.893225: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n2024-01-21 16:14:30.899400: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-01-21 16:14:31.735939: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/scipy/sparse/_index.py:145: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n self._set_arrayXarray(i, j, x)\nPre-processing node features\n\n1/1 [==============================] - ETA: 0s - loss: 1.9535 - acc: 0.1286\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 1s 1s/step - loss: 1.9535 - acc: 0.1286 - val_loss: 1.9469 - val_acc: 0.4000\nEvaluating model.\n\n1/1 [==============================] - ETA: 0s - loss: 1.9470 - acc: 0.3910\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 0s 9ms/step - loss: 1.9470 - acc: 0.3910\nDone.\nTest loss: 1.946979284286499\nTest accuracy: 0.390999972820282\n##### citation_gcn_custom.py #####\n2024-01-21 16:14:35.783612: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-01-21 16:14:35.783669: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-01-21 16:14:35.785139: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n2024-01-21 16:14:35.791466: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-01-21 16:14:36.608646: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/scipy/sparse/_index.py:145: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n self._set_arrayXarray(i, j, x)\nPre-processing node features\nSpektral - GCN (200 epochs)\nElapsed: 2.85s\nFinal loss = 0.617151141166687\n##### citation_simple_gc.py #####\n2024-01-21 16:14:43.435717: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-01-21 16:14:43.435759: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-01-21 16:14:43.437049: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n2024-01-21 16:14:43.443159: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-01-21 16:14:44.284258: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/scipy/sparse/_index.py:145: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n self._set_arrayXarray(i, j, x)\nModel: \"model\"\n__________________________________________________________________________________________________\n Layer (type) Output Shape Param # Connected to \n==================================================================================================\n input_1 (InputLayer) [(None, 1433)] 0 [] \n \n input_2 (InputLayer) [(None, 2708)] 0 [] \n \n gcn_conv (GCNConv) (None, 7) 10031 ['input_1[0][0]', \n 'input_2[0][0]'] \n \n==================================================================================================\nTotal params: 10031 (39.18 KB)\nTrainable params: 10031 (39.18 KB)\nNon-trainable params: 0 (0.00 Byte)\n__________________________________________________________________________________________________\n\n1/1 [==============================] - ETA: 0s - loss: 0.1008 - acc: 0.1357\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 0s 355ms/step - loss: 0.1008 - acc: 0.1357 - val_loss: 0.2166 - val_acc: 0.6780\nEvaluating model.\n\n1/1 [==============================] - ETA: 0s - loss: 0.4094 - acc: 0.7070\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n1/1 [==============================] - 0s 12ms/step - loss: 0.4094 - acc: 0.7070\nDone.\nTest loss: 0.40943244099617004\nTest accuracy: 0.7070000171661377\n##### ogbn-arxiv_gcn.py #####\n2024-01-21 16:14:47.998765: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-01-21 16:14:47.998814: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-01-21 16:14:48.000133: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n2024-01-21 16:14:48.006402: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-01-21 16:14:48.837666: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\nDownloading 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\"model\"\n__________________________________________________________________________________________________\n Layer (type) Output Shape Param # Connected to \n==================================================================================================\n input_1 (InputLayer) [(None, 128)] 0 [] \n \n input_2 (InputLayer) [(None, 169343)] 0 [] \n \n gcn_conv (GCNConv) (None, 256) 33024 ['input_1[0][0]', \n 'input_2[0][0]'] \n \n batch_normalization (Batch (None, 256) 1024 ['gcn_conv[0][0]'] \n Normalization) \n \n dropout (Dropout) (None, 256) 0 ['batch_normalization[0][0]'] \n \n gcn_conv_1 (GCNConv) (None, 256) 65792 ['dropout[0][0]', \n 'input_2[0][0]'] \n \n batch_normalization_1 (Bat (None, 256) 1024 ['gcn_conv_1[0][0]'] \n chNormalization) \n \n dropout_1 (Dropout) (None, 256) 0 ['batch_normalization_1[0][0]'\n ] \n \n gcn_conv_2 (GCNConv) (None, 40) 10280 ['dropout_1[0][0]', \n 'input_2[0][0]'] \n \n==================================================================================================\nTotal params: 111144 (434.16 KB)\nTrainable params: 110120 (430.16 KB)\nNon-trainable params: 1024 (4.00 KB)\n__________________________________________________________________________________________________\nEp. 1 - Loss: 5.289 - Acc: 0.109 - Val acc: 0.177 - Test acc: 0.241\nEvaluating model.\nDone! - Test acc: 0.241\n##### custom_dataset.py #####\n2024-01-21 16:15:07.319425: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-01-21 16:15:07.319469: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-01-21 16:15:07.320948: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n2024-01-21 16:15:07.327116: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-01-21 16:15:08.139878: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/spektral/data/utils.py:221: UserWarning: you are shuffling a 'MyDataset' object which is not a subclass of 'Sequence'; `shuffle` is not guaranteed to behave correctly. E.g., non-numpy array/tensor objects with view semantics may contain duplicates after shuffling.\n np.random.shuffle(a)\n/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/keras/src/initializers/initializers.py:120: UserWarning: The initializer GlorotUniform is unseeded and being called multiple times, which will return identical values each time (even if the initializer is unseeded). Please update your code to provide a seed to the initializer, or avoid using the same initializer instance more than once.\n warnings.warn(\nEp. 1 - Loss: 0.729 - Acc: 0.694 - Val loss: 0.334 - Val acc: 0.880\nNew best val_loss 0.334\nDone. Test loss: 0.4293. Test acc: 0.84\n##### general_gnn.py #####\n2024-01-21 16:15:13.211838: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-01-21 16:15:13.211888: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-01-21 16:15:13.213185: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n2024-01-21 16:15:13.219400: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-01-21 16:15:14.044203: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\nDownloading PROTEINS dataset.\n\n 0%\| \| 0.00/447k [00:00<?, ?B/s]\n 7%\|██▊ \| 32.0k/447k [00:00<00:01, 249kB/s]\n 21%\|████████▌ \| 96.0k/447k [00:00<00:00, 419kB/s]\n 50%\|████████████████████▌ \| 224k/447k [00:00<00:00, 777kB/s]\n100%\|████████████████████████████████████████\| 447k/447k [00:00<00:00, 1.02MB/s]\nTraceback (most recent call last):\n File \"/home/runner/work/spektral/spektral/examples/graph_prediction/general_gnn.py\", line 39, in <module>\n data = TUDataset(\"PROTEINS\")\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/spektral/datasets/tudataset.py\", line 66, in __init__\n super().__init__(*kwargs)\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/spektral/data/dataset.py\", line 118, in __init__\n self.graphs = self.read()\n ^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/spektral/datasets/tudataset.py\", line 128, in read\n [_normalize(xl_[:, None], \"ohe\") for xl_ in x_labs.T], -1\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/spektral/datasets/tudataset.py\", line 128, in <listcomp>\n [_normalize(xl_[:, None], \"ohe\") for xl_ in x_labs.T], -1\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/spektral/datasets/tudataset.py\", line 219, in _normalize\n fnorm = OneHotEncoder(sparse=False, categories=\"auto\")\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nTypeError: OneHotEncoder.__init__() got an unexpected keyword argument 'sparse'\n##[error]Process completed with exit code 1.\n" } ]	diff --git a/spektral/datasets/tudataset.py b/spektral/datasets/tudataset.py index 3877535..f26b0de 100644 --- a/spektral/datasets/tudataset.py +++ b/spektral/datasets/tudataset.py @@ -216,7 +216,7 @@ def _normalize(x, norm=None): Apply one-hot encoding or z-score to a list of node features """ if norm == "ohe": - fnorm = OneHotEncoder(sparse=False, categories="auto") + fnorm = OneHotEncoder(sparse_output=False, categories="auto") elif norm == "zscore": fnorm = StandardScaler() else:	2	[ "spektral/datasets/tudataset.py" ]	https://github.com/danielegrattarola/spektral/tree/386bf6f0815368b78261be43bf90e203dfe9c13f	2024-01-21T16:11:15Z